RAJA .S | VIT University (original) (raw)

Papers by RAJA .S

Research paper thumbnail of A Systematic Review of Hybrid Renewable Energy Systems About Their Optimization Techniques with Analytic Hierarchy Process

International Journal of Power System Operation and Energy International Journal of Power System Operation and Energy, 2023

Hybrid renewable energy systems are the fastest growing power sector worldwide. The drawbacks of ... more Hybrid renewable energy systems are the fastest growing power sector worldwide. The drawbacks of most hybrid energies were identified by the previous researchers such as space/sizes and costs of the system. This review article aims to find out the best optimization techniques for HRES by using the Analytic Hierarchy Process (AHP). More than 100 plus papers were taken to-do this review. Among all the top energy journal publications are consider for these reviews such as ELSEVIER -54.9%, SPRINGER-6.9%, MDPI-5.9%, TAYLOR AND FRANCIS-5%, IEEE ACCESS-13% and others -15%. Thus, the expected result of this review is that the researchers acknowledge their decision-making to choose the best optimization techniques and hybrid renewable energies.

Research paper thumbnail of Challenges and Opportunities in 4D Printing -An Application Perspective

International Journal of Applied Research in Mechanical International Journal of Applied Research in Mechanical Engineering Engineering, 2023

Over the last ten years, 3D printing technology has played a pivotal role in transforming the man... more Over the last ten years, 3D printing
technology has played a pivotal role in
transforming the manufacturing
industry. A recent advancement within
the realm of 3D printing has introduced
time as a fourth dimension, enabling
the creation of 4D printing
components. While a 3D-printed
design remains static, a 4D-printed
design has the remarkable ability to
change its shape in response to
environmental conditions. This paper
also examines various applications of
4D printing across diverse fields such
as electronics, renewable energy,
aerospace, food, healthcare, and
fashion. The review addresses research
gaps, the current obstacles in 4D
printing, and the future prospects of
this technology.

Research paper thumbnail of Mechanical Behavior of Aluminum and Graphene Nanopowder-Based Composites

Producing items that are of both high quality and long lasting is a di cult task for companies ri... more Producing items that are of both high quality and long lasting is a di cult task for companies right now. ere is a huge need for a wide range of engineering materials in today's technologically advanced globe. e strength and qualities of the material determine the amount of material that may be used. Due to its excellent mechanical qualities and low density, aluminum-7075 alloy is mostly employed in transportation applications such as aerospace, marine, and vehicle production. is study addresses the fabrication and characterization of Al7075 semisolid metal matrix composite (MMC) reinforced with graphene nanoparticles. Samples are made with and without stirring graphene in aluminum-7075 at various temperatures of 800°, 830°, 860°, 890°, and 920°C. At these temperatures, the material is semisolid, so graphene is introduced and stirred into the molten liquid. e specimens meet the requirements of the American Society for Testing and Material (ASTM). e hardness, tensile strength, impact strength, and compression strength of various materials are evaluated and compared. Temperature lowers tensile strength, hardness, and compression. A scanning electron microscope (SEM) is used to examine the microstructure. e specimen is evaluated using ANSYS. Specimens with stirring have better mechanical characteristics. Graphene has high hardness and strength.

Research paper thumbnail of Selection of Additive Manufacturing Machine Using Analytical Hierarchy Process

Hindawi, 2022

3D printing or additive manufacturing (AM) is considered to be the most important technology amon... more 3D printing or additive manufacturing (AM) is considered to be the most important technology among the emerging technologies. 3D printing technology is considered as an alternative to the conventional manufacturer machine traditionally used in the manufacturing sector. 3D printing technology is generally classi ed into seven types. Each type of 3D printing technology has its separate own uniqueness (i.e., operation, material usage, and no wastage). e price of a manufactured item includes all its costs. e most important of these is to take into account the price of the machine being manufactured and the features of the machine. Moreover, the price of the product produced in AM will depend on all the costs required to produce it. en, it is possible to reduce the cost of the product by choosing the AMM that has signi cant features and the right price. erefore, this paper aims to solve a decision-making problem from the AMM selection by using one of the multicriteria decision-making (MCDM) tools, i.e., analytical hierarchy process (AHP). is paper outcome is meant to meet the expectation of end-users. As an initial step, the Micro, Small, and Medium Enterprise (MSME) company gets quotations from some AM companies to choose a type of AM machine known FDM for its structure product and doll product. e rst step is to select the most appropriate machines based on cost, size/volume, extruder type, and weight of the machine. Criteria for AHP are derived from decisionmakers. Also, in AHP, the pair-wise matrix is obtained from the decision-makers by answering the standard Saaty's scale criteria questions. In this paper, such a selection method is explored. e outcome of this paper may vary depending on the expectations of the decision-makers. e end of this paper helps to choose the AMM with the right price and features to suit the decision-makers.

Research paper thumbnail of Experimental Investigation on Mechanical Properties of Glass Fiber Hybridized Natural Fiber Reinforced Penta-Layered Hybrid Polymer Composite

Hindawi, 2022

ƒis article investigates and presents the upshots observed in the brook of hybrid composites espe... more ƒis article investigates and presents the upshots observed in the brook of hybrid composites especially, the current investigation
focuses on the impact of †ber composition, sequence, and stacking pattern on composite mechanical Features. Five varied
stacking sequences of hybrid composites encompassing laminates are used to create four classes of †ber with jute/bamboo/glass by
utilizing a conscientious hand lay-up process with glass †ber-laced mats as their peripheral layer. For examination, †ber sequences
are arranged in the combination of GJBJG, GBJBG, GJGJG, and GBGBG, where G, J, and B refer to glass †ber, jute †ber, and
bamboo †ber, respectively. ƒe position of †ber in the core layer is kept in a perpendicular direction with respect to adjacent piles
which might be jute or bamboo †ber and the best position of †ber is considered due to the stacking order. Stress and strain were
linear in the load versus de’ection curves, and all of the samples failed quickly, it is observed that the sample containing a higher or
considerable number of bamboo †ber layers exhibited increased strain and toughness. In comparison to other samples, embolism
of glass †ber as the main and covering layer expressed a higher impact on the mechanical properties of the composites is observed
in this investigation. ƒe shattered sample morphology demonstrated that the matrix and reinforcements were compatible.

Research paper thumbnail of A Decision-Making Model for Selection of the Suitable FDM Machine Using Fuzzy TOPSIS

Hindawi, 2022

Additive manufacturing (AM) or 3D printing has been playing a very important role in the manufact... more Additive manufacturing (AM) or 3D printing has been playing a very important role in the manufacturing sector in recent decades. e AM basic process is meant to produce an object layer by layer and has many advantages that include the occurrence of only minimal production waste during production and easy manufacture of even the most geometrically complex materials. However, there are many challenging decision-making situations in the production of AM for its users, for example, the build chamber, material speci cation, technology types, and application requirements. is includes the choice of the best AM machine (AMM) from many AMM with slightly di erent features that are identical on the market, especially on a real-time basis. is research explored ways that AMM is to be selected using multi-criteria decision-making (MCDM) on a real-time basis. is includes the use of the MCDM fussy Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS) to help select the most suitable fusion deposition modeling (FDM) for an Indian nongovernment organization (NGO) from nine di erent machines based on contemporary. Practice in this research paper, an Indian NGO is considered as a decision-maker in the choice of the best FDM machine based on nine common criteria because an NGO has prescribed nine di erent FDM machines and the NGO needs the help for the purchase of the suitable FDM to produce di erent elds of prototypes. e outcome of this research is to recommend a suitable FDM machine from the nine similar to slightly di erent features of FDM machines by the suggestion of the eld experts (AM machine users). e contribution of this research is not only to enable the purchase of the suitable AM machine but also to reveal the various contemporary FDM machines and the general criteria to be considered in choosing them.

Research paper thumbnail of Fault Diagnosis Using Data Fusion with Ensemble Deep Learning Technique in IIoT

Mathematical Problems in Engineering, 2022

Detecting the breakdown of industrial IoT devices is a major challenge. Despite these challenges,... more Detecting the breakdown of industrial IoT devices is a major challenge. Despite these challenges, real-time sensor data from the industrial internet of things (IIoT) present several advantages, such as the ability to monitor and respond to events in real time. Sensor statistics from the IIoT can be processed, fused with other data sources, and used for rapid decision-making. e study also discusses how to manage denoising, missing data imputation, and outlier discovery using preprocessing. After that, data fusion techniques like the direct fusion technique are used to combine the cleaned sensor data. Fault detection in the IIoT can be accomplished by using a variety of deep learning models such as PropensityNet, deep neural network (DNN), and convolution neural networks-long short term memory network (CNS-LSTM). According to various outcomes, the suggested model is tested with Case Western Reserve University (CWRU) data. e results suggest that the method is viable and has a good level of accuracy and e ciency.

Research paper thumbnail of Effect of Aluminium Tetrahydrate Nanofiller Addition on the Mechanical and Thermal Behaviour of Luffa Fibre-Based Polyester Composites under Cryogenic Environment

Journal of Nanomaterials, 2022

In recent times, research has shifted away from conventional materials and alloys and more toward... more In recent times, research has shifted away from conventional materials and alloys and more towards nanocomposites to create lighter, more efficient materials for specific applications. The major goal of this research is to see how successful adding aluminium tetrahydride (ATH) filler to a luffa fibre/polyester-based hybrid composite is. The compression moulding process was used to create the nanocomposite. The following limitations were used to achieve the goals mentioned above: (i) weight percent of ATH, (ii) weight percent of luffa fibres, and (iii) cryogenic treatment hours. The mechanical properties of the materials, such as flexural, tensile, and impact, were examined. The scanning electron microscope observed the morphology pictures, revealing flaws such as interface behaviour, fibre pullouts, voids, and interior cracks. As a result, the current study found that adding nanofiller to a natural fibre composite can improve its mechanical properties, because it established a strong link between the matrix and its reinforcements, which would aid in the effective transmission of stress in the hybrid system. It also improved moisture resistance, which might be useful in construction and commercial industries. The composite with 1 wt.% of ATH, 24 wt.% of luffa fibres, and 30 minutes of cryogenic treatment showed better mechanical strength. Cryogenic treatment reduces compressive interface stresses, which helps maintain fibre and matrix in contact and improve adhesion, resulting in superior results. TGA analysis was used to confirm it.

Research paper thumbnail of Mechanical Behavior of Aluminum and Graphene Nanopowder-Based Composites

International Journal of Chemical Engineering, 2022

Producing items that are of both high quality and long lasting is a di cult task for companies ri... more Producing items that are of both high quality and long lasting is a di cult task for companies right now. ere is a huge need for a wide range of engineering materials in today's technologically advanced globe. e strength and qualities of the material determine the amount of material that may be used. Due to its excellent mechanical qualities and low density, aluminum-7075 alloy is mostly employed in transportation applications such as aerospace, marine, and vehicle production. is study addresses the fabrication and characterization of Al7075 semisolid metal matrix composite (MMC) reinforced with graphene nanoparticles. Samples are made with and without stirring graphene in aluminum-7075 at various temperatures of 800°, 830°, 860°, 890°, and 920°C. At these temperatures, the material is semisolid, so graphene is introduced and stirred into the molten liquid. e specimens meet the requirements of the American Society for Testing and Material (ASTM). e hardness, tensile strength, impact strength, and compression strength of various materials are evaluated and compared. Temperature lowers tensile strength, hardness, and compression. A scanning electron microscope (SEM) is used to examine the microstructure. e specimen is evaluated using ANSYS. Specimens with stirring have better mechanical characteristics. Graphene has high hardness and strength.

Research paper thumbnail of APPLICATION OF OPTIMIZATION TOOLS IN HYBRID RENEWABLE ENERGY SYSTEM

PRE PRINT, 2021

The Hybrid Renewable Energy System is one of the rapid growing key sectors in the energy industry... more The Hybrid Renewable Energy System is one of the rapid growing key sectors in the energy industry. However, according to previous literature articles explored, the most common drawbacks are the cost of energy production and the shape/size of hybrid energy. Therefore the purpose of this article is to find the applications of the optimization tools that are compatible with the Hybrid Renewable Energy System. In this paper, the traditional literature review method has been used. At the end of this research, best optimization Tool has recommended for increasing the Energy Production and reducing Size / Volume of the Hybrid Renewable Energy System.

Research paper thumbnail of WELL-DOUBLETS: A INITIAL ASSESSMENT OF GEOTHERMAL SEDHEAT SYSTEMS

IJMTE

Renewable and sustainable energy sources can assume a significant part in gathering the world's e... more Renewable and sustainable energy sources can assume a significant part in gathering the world's energy needs and furthermore in tending to natural difficulties, for example, a worldwide temperature alteration and environmental change. Geothermal well-doublet frameworks can deliver both electrical and nuclear power through removing heat from boiling water springs. In this paper, we analyze some potential difficulties related with the activity of well-doublet frameworks, including heat conductivity, substance, and mechanical issues. In these frameworks, geo mechanics issues, for example, warm short circuiting and induced seismicity emerge from temperature and pressing factor change impacts on the pressure state in hardened rocks and liquid stream in cracked stone masses. Coupled substance measures additionally can cause liquid diverting or arrangement and cylindrical merchandise stopping (scaling) with hastens. Mechanical and substance disequilibrium conditions lead to expanded creation vulnerabilities; subsequently hazard, and in this way coupled geo-hazard appraisals and enhancement examinations are required for similar commercialization assessments among various locales. The difficulties identified with heat move measures are additionally inspected. These investigations can help better comprehend the issues that might emerge during the activity of geothermal well-doublet frameworks and work on their viability, in this manner lessening related expenses and dangers.

Research paper thumbnail of FABRICATION OF SAFETY HELMET USING TITANIUM ALLOY

IJMTE, 2021

All helmets attempt to protect the user's head by absorbing mechanical energy and protecting agai... more All helmets attempt to protect the user's head by absorbing mechanical energy and protecting against penetration. Their structure and protective capacity are altered in high-energy impacts. Beside their energy-absorption capability, their volume and weight are also important issues, since higher volume and weight increase the injury risk for the user's head and neck. Every year many workers are killed or seriously injured in the construction industry as a result of head injuries. Wearing an appropriate safety helmet significantly reduces the risk of injury or even death. Protective headwear could save your life. At present strength of the helmet using industry is less due to improper filling of material, uneven pressure distribution and blow holes. The aim of the project is to increase the strength of industrial helmet by modifying the material in existing one.

Research paper thumbnail of CT/MRI IMAGE FUSION USING SPARSE REPRESENTATION IN CURVELET DOMINE

IJMTE, 2021

Medical image fusion can obtain more comprehensive and high-quality image by integrating the comp... more Medical image fusion can obtain more comprehensive and high-quality image by integrating the complementary information of medical images, which can provide more accurate data for clinical diagnosis and treatment. To preserve the detailed information and structure information of the source image, in this work, a novel medical image fusion method between CT and MRI is addressed with bilateral filtering and sparse representation in Curvelet transformation. In this proposed method, the bilateral filter is applied in the both source images then the low frequency layers are combined using curvelet-SR fusion rule then the high frequency layers are fused using math absolute fusion rule. Then the final fused output is obtained using curvelet transform. The two methodologies addressed in this proposed work will improve the fusion accuracy and this novel image registration technique can provide good result from CT and MR image.

Research paper thumbnail of AN AUTOMATED EEG BASED PATHOLOGY AND ALZHEIMER DETECTION USING DEEP LEARNING NETWORKS

IJMTE, 2021

Electroencephalogram (EEG) is one of the non-invasive measurements of brain activity, prominently... more Electroencephalogram (EEG) is one of the non-invasive measurements of brain activity, prominently used to study brain diseases. Alzheimer's disease is a progressive neurologic disorder that causes the brain to shrink (atrophy) and brain cells to die. In this paper, an automated EEG pathology detection system for the diagnosis of EEG pathology and Alzheimer's disease based on deep learning been proposed. Various types of pathologies can affect brain signals. Thus, the brain signals captured in the form of EEG signals can indicate whether a person suffers from a pathology or not. In the proposed method, the EEG signals been collected from the Physionet database, pre-processed the signal to remove unwanted noise with the help of Least Mean Square filter, decomposed the signal with the help of Empirical Mode Decomposition (EMD) into numerous IMFs (Intrinsic Mode Functions). By means of repeated iteration of the obtained IMFs, features such as temporal and spectral values are extracted. Then the resulting signal been classified using deep learning classifier Alex Net and the network is trained with huge number of data samples that includes both normal and pathological signals. As a result, the model will be able to detect whether the provided EEG signal shows normal or abnormal or Alzheimer diseased condition.

Research paper thumbnail of SAFETY IN DANESH HOME FASHION (GARMENT DIVISION

Research paper thumbnail of SAFETY IN ACETECH MACHINERY INDIA PVL

International Journal of Management, Technology And Engineering, 2019

To study and conduct safety audit that the one of reputed esteemed industry of Acetech machinery,... more To study and conduct safety audit that the one of reputed esteemed industry of Acetech machinery, Coimbatore. The safety audit consists of standard safety aspects such as labour safety, Material safety, accident causes, Machinery safety, Ergonomic issues, Hazards identification, and Emergency safety plan. The Acetech machinery safeties forecasting technique has analysis and finds out that if any deviation actual safety process. The deviation or improvement if any their safety policy by the third party view are suggested or recommended. The Acetech machinery safety aspects has ensure that standard regulation and world class safety implementation.

Research paper thumbnail of DESIGN AND CFD ANALYSIS OF BRAKE DISC

International Journal of Management, Technology And Engineering, 2019

The importance of convective cooling of a brake disc is an important factor since it can be signi... more The importance of convective cooling of a brake disc is an important factor since it can be significantly improved by trivial design changes and contributes to the major part of the total dissipated heat flux for normal driving conditions. At first, experimental aero-thermal flow test of ventilated brake discs were performed in the Volvo brake machine and the Volvo wind tunnel. These tests were further correlated with a CFD modeling method in order to provide reliability and trust to the model itself. The developed CFD model was then applied into a full vehicle model of a mid-size Volvo to predict and analyze the aero-thermal flow behavior of a ventilated brake disc in the wheel house. It can be seen that the vanes contributes to the major dissipated convective heat from the brake disc and the wheel house through-flow is of great importance for the cooling behavior. Because of the complexity of the wheel house flow, trivial design changes could alteration the aero-thermal flow behavior of the brake disc. An even more comprehensive study could be obtained by applying a full thermal which predicts the aero-thermal flow dependency of convection, conduction and radiation.

Research paper thumbnail of SAFETY AUDIT IN RAFI STEELS PVL

International Journal of Management, Technology And Engineering, 2019

To study and conduct safety audit that the one of reputed esteemed industry of RAFI STEELS PVL, D... more To study and conduct safety audit that the one of reputed esteemed industry of RAFI STEELS PVL, Dindugal. The safety aspects consists of labour safety, Material safety, accident causes, Machinery safety, Ergonomic issues, Hazards identification, and Emergency safety plan. The RAFI STEELS PVL safeties forecasting technique has analysis and find out that if any deviation with compare to actual safety process. The RAFI STEELS PVL safety aspect has learned practically that standard regulation and emergency techniques used in engineering industries. The emergency safety planning and basic safety audits techniques are learned.

Research paper thumbnail of SAFETY AUDIT ABOUT FLEET MANAGEMENT IN BPCL KARUR TERMINAL

International Journal of Management, Technology And Engineering, 2019

OBJECTIVE: To study and improve the various safety procedures about the fleet management in BPCL ... more OBJECTIVE:
To study and improve the various safety
procedures about the fleet management in BPCL Karur
Terminal.
METHODOLOGY:
Comparison study about the actual standard
which is followed in the BPCL Karur Terminal with the
government standard regulation. Then the deviations are to
be noted and analyzed. Finally valuable recommendations
are to be given.
RESULT:
The world class standard of FLEET management
amending and increasing in BPCL Karur Terminal.
KEY WORDS- Fleet, BPCL, Safety, Regulation,
Deviations.

Research paper thumbnail of SAFETY AUDIT ABOUT FLEET MANAGEMENT IN BPCL KARUR TERMINAL

Research paper thumbnail of A Systematic Review of Hybrid Renewable Energy Systems About Their Optimization Techniques with Analytic Hierarchy Process

International Journal of Power System Operation and Energy International Journal of Power System Operation and Energy, 2023

Hybrid renewable energy systems are the fastest growing power sector worldwide. The drawbacks of ... more Hybrid renewable energy systems are the fastest growing power sector worldwide. The drawbacks of most hybrid energies were identified by the previous researchers such as space/sizes and costs of the system. This review article aims to find out the best optimization techniques for HRES by using the Analytic Hierarchy Process (AHP). More than 100 plus papers were taken to-do this review. Among all the top energy journal publications are consider for these reviews such as ELSEVIER -54.9%, SPRINGER-6.9%, MDPI-5.9%, TAYLOR AND FRANCIS-5%, IEEE ACCESS-13% and others -15%. Thus, the expected result of this review is that the researchers acknowledge their decision-making to choose the best optimization techniques and hybrid renewable energies.

Research paper thumbnail of Challenges and Opportunities in 4D Printing -An Application Perspective

International Journal of Applied Research in Mechanical International Journal of Applied Research in Mechanical Engineering Engineering, 2023

Over the last ten years, 3D printing technology has played a pivotal role in transforming the man... more Over the last ten years, 3D printing
technology has played a pivotal role in
transforming the manufacturing
industry. A recent advancement within
the realm of 3D printing has introduced
time as a fourth dimension, enabling
the creation of 4D printing
components. While a 3D-printed
design remains static, a 4D-printed
design has the remarkable ability to
change its shape in response to
environmental conditions. This paper
also examines various applications of
4D printing across diverse fields such
as electronics, renewable energy,
aerospace, food, healthcare, and
fashion. The review addresses research
gaps, the current obstacles in 4D
printing, and the future prospects of
this technology.

Research paper thumbnail of Mechanical Behavior of Aluminum and Graphene Nanopowder-Based Composites

Producing items that are of both high quality and long lasting is a di cult task for companies ri... more Producing items that are of both high quality and long lasting is a di cult task for companies right now. ere is a huge need for a wide range of engineering materials in today's technologically advanced globe. e strength and qualities of the material determine the amount of material that may be used. Due to its excellent mechanical qualities and low density, aluminum-7075 alloy is mostly employed in transportation applications such as aerospace, marine, and vehicle production. is study addresses the fabrication and characterization of Al7075 semisolid metal matrix composite (MMC) reinforced with graphene nanoparticles. Samples are made with and without stirring graphene in aluminum-7075 at various temperatures of 800°, 830°, 860°, 890°, and 920°C. At these temperatures, the material is semisolid, so graphene is introduced and stirred into the molten liquid. e specimens meet the requirements of the American Society for Testing and Material (ASTM). e hardness, tensile strength, impact strength, and compression strength of various materials are evaluated and compared. Temperature lowers tensile strength, hardness, and compression. A scanning electron microscope (SEM) is used to examine the microstructure. e specimen is evaluated using ANSYS. Specimens with stirring have better mechanical characteristics. Graphene has high hardness and strength.

Research paper thumbnail of Selection of Additive Manufacturing Machine Using Analytical Hierarchy Process

Hindawi, 2022

3D printing or additive manufacturing (AM) is considered to be the most important technology amon... more 3D printing or additive manufacturing (AM) is considered to be the most important technology among the emerging technologies. 3D printing technology is considered as an alternative to the conventional manufacturer machine traditionally used in the manufacturing sector. 3D printing technology is generally classi ed into seven types. Each type of 3D printing technology has its separate own uniqueness (i.e., operation, material usage, and no wastage). e price of a manufactured item includes all its costs. e most important of these is to take into account the price of the machine being manufactured and the features of the machine. Moreover, the price of the product produced in AM will depend on all the costs required to produce it. en, it is possible to reduce the cost of the product by choosing the AMM that has signi cant features and the right price. erefore, this paper aims to solve a decision-making problem from the AMM selection by using one of the multicriteria decision-making (MCDM) tools, i.e., analytical hierarchy process (AHP). is paper outcome is meant to meet the expectation of end-users. As an initial step, the Micro, Small, and Medium Enterprise (MSME) company gets quotations from some AM companies to choose a type of AM machine known FDM for its structure product and doll product. e rst step is to select the most appropriate machines based on cost, size/volume, extruder type, and weight of the machine. Criteria for AHP are derived from decisionmakers. Also, in AHP, the pair-wise matrix is obtained from the decision-makers by answering the standard Saaty's scale criteria questions. In this paper, such a selection method is explored. e outcome of this paper may vary depending on the expectations of the decision-makers. e end of this paper helps to choose the AMM with the right price and features to suit the decision-makers.

Research paper thumbnail of Experimental Investigation on Mechanical Properties of Glass Fiber Hybridized Natural Fiber Reinforced Penta-Layered Hybrid Polymer Composite

Hindawi, 2022

ƒis article investigates and presents the upshots observed in the brook of hybrid composites espe... more ƒis article investigates and presents the upshots observed in the brook of hybrid composites especially, the current investigation
focuses on the impact of †ber composition, sequence, and stacking pattern on composite mechanical Features. Five varied
stacking sequences of hybrid composites encompassing laminates are used to create four classes of †ber with jute/bamboo/glass by
utilizing a conscientious hand lay-up process with glass †ber-laced mats as their peripheral layer. For examination, †ber sequences
are arranged in the combination of GJBJG, GBJBG, GJGJG, and GBGBG, where G, J, and B refer to glass †ber, jute †ber, and
bamboo †ber, respectively. ƒe position of †ber in the core layer is kept in a perpendicular direction with respect to adjacent piles
which might be jute or bamboo †ber and the best position of †ber is considered due to the stacking order. Stress and strain were
linear in the load versus de’ection curves, and all of the samples failed quickly, it is observed that the sample containing a higher or
considerable number of bamboo †ber layers exhibited increased strain and toughness. In comparison to other samples, embolism
of glass †ber as the main and covering layer expressed a higher impact on the mechanical properties of the composites is observed
in this investigation. ƒe shattered sample morphology demonstrated that the matrix and reinforcements were compatible.

Research paper thumbnail of A Decision-Making Model for Selection of the Suitable FDM Machine Using Fuzzy TOPSIS

Hindawi, 2022

Additive manufacturing (AM) or 3D printing has been playing a very important role in the manufact... more Additive manufacturing (AM) or 3D printing has been playing a very important role in the manufacturing sector in recent decades. e AM basic process is meant to produce an object layer by layer and has many advantages that include the occurrence of only minimal production waste during production and easy manufacture of even the most geometrically complex materials. However, there are many challenging decision-making situations in the production of AM for its users, for example, the build chamber, material speci cation, technology types, and application requirements. is includes the choice of the best AM machine (AMM) from many AMM with slightly di erent features that are identical on the market, especially on a real-time basis. is research explored ways that AMM is to be selected using multi-criteria decision-making (MCDM) on a real-time basis. is includes the use of the MCDM fussy Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS) to help select the most suitable fusion deposition modeling (FDM) for an Indian nongovernment organization (NGO) from nine di erent machines based on contemporary. Practice in this research paper, an Indian NGO is considered as a decision-maker in the choice of the best FDM machine based on nine common criteria because an NGO has prescribed nine di erent FDM machines and the NGO needs the help for the purchase of the suitable FDM to produce di erent elds of prototypes. e outcome of this research is to recommend a suitable FDM machine from the nine similar to slightly di erent features of FDM machines by the suggestion of the eld experts (AM machine users). e contribution of this research is not only to enable the purchase of the suitable AM machine but also to reveal the various contemporary FDM machines and the general criteria to be considered in choosing them.

Research paper thumbnail of Fault Diagnosis Using Data Fusion with Ensemble Deep Learning Technique in IIoT

Mathematical Problems in Engineering, 2022

Detecting the breakdown of industrial IoT devices is a major challenge. Despite these challenges,... more Detecting the breakdown of industrial IoT devices is a major challenge. Despite these challenges, real-time sensor data from the industrial internet of things (IIoT) present several advantages, such as the ability to monitor and respond to events in real time. Sensor statistics from the IIoT can be processed, fused with other data sources, and used for rapid decision-making. e study also discusses how to manage denoising, missing data imputation, and outlier discovery using preprocessing. After that, data fusion techniques like the direct fusion technique are used to combine the cleaned sensor data. Fault detection in the IIoT can be accomplished by using a variety of deep learning models such as PropensityNet, deep neural network (DNN), and convolution neural networks-long short term memory network (CNS-LSTM). According to various outcomes, the suggested model is tested with Case Western Reserve University (CWRU) data. e results suggest that the method is viable and has a good level of accuracy and e ciency.

Research paper thumbnail of Effect of Aluminium Tetrahydrate Nanofiller Addition on the Mechanical and Thermal Behaviour of Luffa Fibre-Based Polyester Composites under Cryogenic Environment

Journal of Nanomaterials, 2022

In recent times, research has shifted away from conventional materials and alloys and more toward... more In recent times, research has shifted away from conventional materials and alloys and more towards nanocomposites to create lighter, more efficient materials for specific applications. The major goal of this research is to see how successful adding aluminium tetrahydride (ATH) filler to a luffa fibre/polyester-based hybrid composite is. The compression moulding process was used to create the nanocomposite. The following limitations were used to achieve the goals mentioned above: (i) weight percent of ATH, (ii) weight percent of luffa fibres, and (iii) cryogenic treatment hours. The mechanical properties of the materials, such as flexural, tensile, and impact, were examined. The scanning electron microscope observed the morphology pictures, revealing flaws such as interface behaviour, fibre pullouts, voids, and interior cracks. As a result, the current study found that adding nanofiller to a natural fibre composite can improve its mechanical properties, because it established a strong link between the matrix and its reinforcements, which would aid in the effective transmission of stress in the hybrid system. It also improved moisture resistance, which might be useful in construction and commercial industries. The composite with 1 wt.% of ATH, 24 wt.% of luffa fibres, and 30 minutes of cryogenic treatment showed better mechanical strength. Cryogenic treatment reduces compressive interface stresses, which helps maintain fibre and matrix in contact and improve adhesion, resulting in superior results. TGA analysis was used to confirm it.

Research paper thumbnail of Mechanical Behavior of Aluminum and Graphene Nanopowder-Based Composites

International Journal of Chemical Engineering, 2022

Producing items that are of both high quality and long lasting is a di cult task for companies ri... more Producing items that are of both high quality and long lasting is a di cult task for companies right now. ere is a huge need for a wide range of engineering materials in today's technologically advanced globe. e strength and qualities of the material determine the amount of material that may be used. Due to its excellent mechanical qualities and low density, aluminum-7075 alloy is mostly employed in transportation applications such as aerospace, marine, and vehicle production. is study addresses the fabrication and characterization of Al7075 semisolid metal matrix composite (MMC) reinforced with graphene nanoparticles. Samples are made with and without stirring graphene in aluminum-7075 at various temperatures of 800°, 830°, 860°, 890°, and 920°C. At these temperatures, the material is semisolid, so graphene is introduced and stirred into the molten liquid. e specimens meet the requirements of the American Society for Testing and Material (ASTM). e hardness, tensile strength, impact strength, and compression strength of various materials are evaluated and compared. Temperature lowers tensile strength, hardness, and compression. A scanning electron microscope (SEM) is used to examine the microstructure. e specimen is evaluated using ANSYS. Specimens with stirring have better mechanical characteristics. Graphene has high hardness and strength.

Research paper thumbnail of APPLICATION OF OPTIMIZATION TOOLS IN HYBRID RENEWABLE ENERGY SYSTEM

PRE PRINT, 2021

The Hybrid Renewable Energy System is one of the rapid growing key sectors in the energy industry... more The Hybrid Renewable Energy System is one of the rapid growing key sectors in the energy industry. However, according to previous literature articles explored, the most common drawbacks are the cost of energy production and the shape/size of hybrid energy. Therefore the purpose of this article is to find the applications of the optimization tools that are compatible with the Hybrid Renewable Energy System. In this paper, the traditional literature review method has been used. At the end of this research, best optimization Tool has recommended for increasing the Energy Production and reducing Size / Volume of the Hybrid Renewable Energy System.

Research paper thumbnail of WELL-DOUBLETS: A INITIAL ASSESSMENT OF GEOTHERMAL SEDHEAT SYSTEMS

IJMTE

Renewable and sustainable energy sources can assume a significant part in gathering the world's e... more Renewable and sustainable energy sources can assume a significant part in gathering the world's energy needs and furthermore in tending to natural difficulties, for example, a worldwide temperature alteration and environmental change. Geothermal well-doublet frameworks can deliver both electrical and nuclear power through removing heat from boiling water springs. In this paper, we analyze some potential difficulties related with the activity of well-doublet frameworks, including heat conductivity, substance, and mechanical issues. In these frameworks, geo mechanics issues, for example, warm short circuiting and induced seismicity emerge from temperature and pressing factor change impacts on the pressure state in hardened rocks and liquid stream in cracked stone masses. Coupled substance measures additionally can cause liquid diverting or arrangement and cylindrical merchandise stopping (scaling) with hastens. Mechanical and substance disequilibrium conditions lead to expanded creation vulnerabilities; subsequently hazard, and in this way coupled geo-hazard appraisals and enhancement examinations are required for similar commercialization assessments among various locales. The difficulties identified with heat move measures are additionally inspected. These investigations can help better comprehend the issues that might emerge during the activity of geothermal well-doublet frameworks and work on their viability, in this manner lessening related expenses and dangers.

Research paper thumbnail of FABRICATION OF SAFETY HELMET USING TITANIUM ALLOY

IJMTE, 2021

All helmets attempt to protect the user's head by absorbing mechanical energy and protecting agai... more All helmets attempt to protect the user's head by absorbing mechanical energy and protecting against penetration. Their structure and protective capacity are altered in high-energy impacts. Beside their energy-absorption capability, their volume and weight are also important issues, since higher volume and weight increase the injury risk for the user's head and neck. Every year many workers are killed or seriously injured in the construction industry as a result of head injuries. Wearing an appropriate safety helmet significantly reduces the risk of injury or even death. Protective headwear could save your life. At present strength of the helmet using industry is less due to improper filling of material, uneven pressure distribution and blow holes. The aim of the project is to increase the strength of industrial helmet by modifying the material in existing one.

Research paper thumbnail of CT/MRI IMAGE FUSION USING SPARSE REPRESENTATION IN CURVELET DOMINE

IJMTE, 2021

Medical image fusion can obtain more comprehensive and high-quality image by integrating the comp... more Medical image fusion can obtain more comprehensive and high-quality image by integrating the complementary information of medical images, which can provide more accurate data for clinical diagnosis and treatment. To preserve the detailed information and structure information of the source image, in this work, a novel medical image fusion method between CT and MRI is addressed with bilateral filtering and sparse representation in Curvelet transformation. In this proposed method, the bilateral filter is applied in the both source images then the low frequency layers are combined using curvelet-SR fusion rule then the high frequency layers are fused using math absolute fusion rule. Then the final fused output is obtained using curvelet transform. The two methodologies addressed in this proposed work will improve the fusion accuracy and this novel image registration technique can provide good result from CT and MR image.

Research paper thumbnail of AN AUTOMATED EEG BASED PATHOLOGY AND ALZHEIMER DETECTION USING DEEP LEARNING NETWORKS

IJMTE, 2021

Electroencephalogram (EEG) is one of the non-invasive measurements of brain activity, prominently... more Electroencephalogram (EEG) is one of the non-invasive measurements of brain activity, prominently used to study brain diseases. Alzheimer's disease is a progressive neurologic disorder that causes the brain to shrink (atrophy) and brain cells to die. In this paper, an automated EEG pathology detection system for the diagnosis of EEG pathology and Alzheimer's disease based on deep learning been proposed. Various types of pathologies can affect brain signals. Thus, the brain signals captured in the form of EEG signals can indicate whether a person suffers from a pathology or not. In the proposed method, the EEG signals been collected from the Physionet database, pre-processed the signal to remove unwanted noise with the help of Least Mean Square filter, decomposed the signal with the help of Empirical Mode Decomposition (EMD) into numerous IMFs (Intrinsic Mode Functions). By means of repeated iteration of the obtained IMFs, features such as temporal and spectral values are extracted. Then the resulting signal been classified using deep learning classifier Alex Net and the network is trained with huge number of data samples that includes both normal and pathological signals. As a result, the model will be able to detect whether the provided EEG signal shows normal or abnormal or Alzheimer diseased condition.

Research paper thumbnail of SAFETY IN DANESH HOME FASHION (GARMENT DIVISION

Research paper thumbnail of SAFETY IN ACETECH MACHINERY INDIA PVL

International Journal of Management, Technology And Engineering, 2019

To study and conduct safety audit that the one of reputed esteemed industry of Acetech machinery,... more To study and conduct safety audit that the one of reputed esteemed industry of Acetech machinery, Coimbatore. The safety audit consists of standard safety aspects such as labour safety, Material safety, accident causes, Machinery safety, Ergonomic issues, Hazards identification, and Emergency safety plan. The Acetech machinery safeties forecasting technique has analysis and finds out that if any deviation actual safety process. The deviation or improvement if any their safety policy by the third party view are suggested or recommended. The Acetech machinery safety aspects has ensure that standard regulation and world class safety implementation.

Research paper thumbnail of DESIGN AND CFD ANALYSIS OF BRAKE DISC

International Journal of Management, Technology And Engineering, 2019

The importance of convective cooling of a brake disc is an important factor since it can be signi... more The importance of convective cooling of a brake disc is an important factor since it can be significantly improved by trivial design changes and contributes to the major part of the total dissipated heat flux for normal driving conditions. At first, experimental aero-thermal flow test of ventilated brake discs were performed in the Volvo brake machine and the Volvo wind tunnel. These tests were further correlated with a CFD modeling method in order to provide reliability and trust to the model itself. The developed CFD model was then applied into a full vehicle model of a mid-size Volvo to predict and analyze the aero-thermal flow behavior of a ventilated brake disc in the wheel house. It can be seen that the vanes contributes to the major dissipated convective heat from the brake disc and the wheel house through-flow is of great importance for the cooling behavior. Because of the complexity of the wheel house flow, trivial design changes could alteration the aero-thermal flow behavior of the brake disc. An even more comprehensive study could be obtained by applying a full thermal which predicts the aero-thermal flow dependency of convection, conduction and radiation.

Research paper thumbnail of SAFETY AUDIT IN RAFI STEELS PVL

International Journal of Management, Technology And Engineering, 2019

To study and conduct safety audit that the one of reputed esteemed industry of RAFI STEELS PVL, D... more To study and conduct safety audit that the one of reputed esteemed industry of RAFI STEELS PVL, Dindugal. The safety aspects consists of labour safety, Material safety, accident causes, Machinery safety, Ergonomic issues, Hazards identification, and Emergency safety plan. The RAFI STEELS PVL safeties forecasting technique has analysis and find out that if any deviation with compare to actual safety process. The RAFI STEELS PVL safety aspect has learned practically that standard regulation and emergency techniques used in engineering industries. The emergency safety planning and basic safety audits techniques are learned.

Research paper thumbnail of SAFETY AUDIT ABOUT FLEET MANAGEMENT IN BPCL KARUR TERMINAL

International Journal of Management, Technology And Engineering, 2019

OBJECTIVE: To study and improve the various safety procedures about the fleet management in BPCL ... more OBJECTIVE:
To study and improve the various safety
procedures about the fleet management in BPCL Karur
Terminal.
METHODOLOGY:
Comparison study about the actual standard
which is followed in the BPCL Karur Terminal with the
government standard regulation. Then the deviations are to
be noted and analyzed. Finally valuable recommendations
are to be given.
RESULT:
The world class standard of FLEET management
amending and increasing in BPCL Karur Terminal.
KEY WORDS- Fleet, BPCL, Safety, Regulation,
Deviations.

Research paper thumbnail of SAFETY AUDIT ABOUT FLEET MANAGEMENT IN BPCL KARUR TERMINAL