Soorya Prakash - Academia.edu (original) (raw)

Papers by Soorya Prakash

World Journal of Engineering, Dec 20, 2022

CRC Press eBooks, Jan 10, 2022

2013 International Conference on Current Trends in Engineering and Technology (ICCTET), 2013

Increasing the problem of Global warming, green house effects, climate changing, etc. we want tos... more Increasing the problem of Global warming, green house effects, climate changing, etc. we want tosave our earth. If save our earth, our using/manufacturing products do not affect earth or not spoil the earth. So we want to make eco friendly products. This type of eco friendly products are manufacturing by major constituents of Natural or natural composite materials. Composite materials constitute a significant proportion of the engineered materials market ranging from everyday products to sophisticated niche applications. Natural fibers are worth as weight-saving materials. Natural fibers have been used to reinforce materials for over 3,000 years. Natural fibers have the advantage that they are renewable resources and have marketing appeal. Due to the demand and needs we want to find out new combination eco-friendly materials either recyclable or bio degradable. In this fibers may be using for bio degradable/ recyclable packaging, sealing, and fabrication applications. So we want to study the properties of Maize fibers. Alkaline treating is essential one of Natural fibers treating. Alkaline treated Maize fibers properties are having better Tensile and elongation compare to raw Maize fibers.

Advances in Materials Science and Engineering

The aim of this study is to carry out a focused literature review on the mechanical and tribologi... more The aim of this study is to carry out a focused literature review on the mechanical and tribological behaviour of AlCoCrFeNi High Entropy Alloys (HEA). HEAs are a proficient class of alloys designed by the use of several constituent alloying elements in equiatomic or close to equiatomic ratios. In view of their distinctive property range, there has been huge attention on this class of alloys. Among the various group of HEAs, AlCoCrFeNi-based HEAs have attracted interest due to their enhanced properties. Various AlCoCrFeNi-based HEAs are developed by adding additional elements such as Mo, Ti, and Zr. The effect of these alloying constituents on the mechanical, metallurgical, and tribological performance of the AlCoCrFeNi HEA is discussed in detail. In addition to that, the various techniques used to produce these HEAs are also discussed.

Machine learning models were introduced to develop a relationship between the elemental compositi... more Machine learning models were introduced to develop a relationship between the elemental composition and degraded mechanical properties in metallic materials due to the presence of hydrogen. Single layer and multilayer feed forward back propagation algorithm was developed as artificial neural network based machine learning models to predict the mechanical properties of hydrogen charged metallic materials. Multilayer feed forward back propagation model was used to predicts the tensile strength, had a network topology of 12-13-3-2. And the single layer feed forward back propagation model was employed to predict the percentage of elongation, has a network topology of 12-11-1. The developed models were validated and tested with unknown inputs and their capability was studied. The models were evaluated using Mean Absolute (MAE) value and represented the scatter diagram to demonstrate the efficiency of the models. The R-value for both the models seems to prove that the models are ready to ...

ArXiv, 2010

In this paper, research on AI based modeling technique to optimize development of new alloys with... more In this paper, research on AI based modeling technique to optimize development of new alloys with necessitated improvements in properties and chemical mixture over existing alloys as per functional requirements of product is done. The current research work novels AI in lieu of predictions to establish association between material and product customary. Advanced computational simulation techniques like CFD, FEA interrogations are made viable to authenticate product dynamics in context to experimental investigations. Accordingly, the current research is focused towards binding relationships between material design and product design domains. The input to feed forward back propagation prediction network model constitutes of material design features. Parameters relevant to product design strategies are furnished as target outputs. The outcomes of ANN shows good sign of correlation between material and product design domains. The study enriches a new path to illustrate material factors a...

This paper has a propensity to identify low cost and ordinarily available reinforcements besides ... more This paper has a propensity to identify low cost and ordinarily available reinforcements besides comparatively reviewing fly ash, bagasse ash, rice husk ash reinforced aluminium composites. This has led to microstructure, mechanical and wear characteristic investigation of newer composite developed through stir casting with cenosphere, rock dust and e-waste cathode ray tube (CRT) panel glass powder. Comparison over experimental results with available reported data of said reinforcements clarifies that newer reinforcements have also yielded equivalent properties. Addition of these newer reinforcements up to 10% increases the tensile strength whereas maximum of 65.12% hardness raise is attained for cenosphere and 63.04% for CRT addition to that of Al 6061 T6. Tensile strength increases up to 9.84% for 15% cenosphere reinforcement, 9.02% for 10% CRT addition. Addition of cenosphere and rock dust up to 15% increases the wear resistance but in the case of CRT powder, wear resistance is h...

The current research investigates the effect of electric discharge machining (EDM) and material p... more The current research investigates the effect of electric discharge machining (EDM) and material parameters on material removal rate (MRR), tool wear rate (TWR) and surface roughness (Ra) while machining the novel aluminium rock dust composite. Experiments have been performed in Vidyunt EM 150 EDM machine by considering parameters namely discharge current, pulse ON time, pulse OFF time, reinforcement size and level. The composites have been prepared through stir casting method by reinforcing various sizes (10, 20 & 30 μm) of rock dust particles with aluminium 6061 and at different levels (5, 10 & 15%). Since the number of input parameter is more, Taguchi’s design of experiments has been used to reduce the number of trials and grey relational analysis (GRA) technique has been used for optimization. Analysis of variance has been performed to identify the significance of the parameters and it has been found that all the considered parameters have significant effect on response variables...

Proceedings of the Institution of Mechanical Engineers, Part C: Journal of Mechanical Engineering Science

Primary focus of the current investigation is to analyze the effect of friction stir processing u... more Primary focus of the current investigation is to analyze the effect of friction stir processing upon AlCoCrCuFe addition on Copper metal-metal surface composites. Copper surface composite along with the prepared novel AlCoCrCuFe high-entropy alloy (HEA) formulated through arc melting technique as reinforcement material is developed in the course following Friction Stir Processing (FSP) technique. Effect of HEA is interested in understanding the microstructural, mechanical and tribological behavior for its 5, 10 and 15 vol% distribution into copper surface. Consequently, fine grain size and hard HEA reinforcement presence upfront the achieved improvement in copper material hardness values. HEA particle additions into base copper matrix viz. fabricated surface composite, originate the following: Strength magnitude is superior than the unprocessed base material; Wear rate lessens towards any addition; Friction coefficient improvises even for minor reinforcement introductions. Among the...

Silicon

The current study focuses on developing Mg/CRT/BN hybrid composite and optimization of reinforcem... more The current study focuses on developing Mg/CRT/BN hybrid composite and optimization of reinforcement and drilling parameters for better surface finish, reduced thrust force and temperature while drilling the composite. The specimens are produced through powder metallurgy method by incorporating silica rich cathode ray tube (CRT) panel glass powder having rich silica content and boron nitride. Along with CRT particle size (10, 30 and 50 μm) and proportions (5, 10, 15 wt.%), machining parameters namely cutting speed, feed rate and diameter of the tool were considered for optimization. The results reveal that the surface roughness, thrust force and temperature in drilling rose with raise in reinforcement size and weight %. Analysis of Variance (ANOVA) results indicate that every one of the input constraints have considerably affected the response variables. The regression model formed possesses enough capability to predict the output variables that too with minimal error. The optimum parameter combination for multi quality characteristics predicted by GRA gives better results.

Metals and Materials International

This research demonstrates the application of machine learning models and statistics methods in p... more This research demonstrates the application of machine learning models and statistics methods in predicting and analyzing dry sliding wear rates on novel copper-based surface composites. Boron nitride particles of varying fractions was deposited experimentally over the copper surface through friction stir processing. Experimental and statistical analysis proved that the presence of BN particles can reduce wear rate considerably. Analysis of worn-out surface revealed a mild adhesive wear during low load condition and an abrasive mode of wear during higher load conditions. Artificial neural network based feed forward back propagation model with topology 4-7-1 was modeled and prediction profiles displayed good agreement with experimental outcomes.

Composites Part B: Engineering

Abstract This technical article top up in presenting the research over composites consisting of G... more Abstract This technical article top up in presenting the research over composites consisting of Graphene oxide(GO), Titanium di oxide (TiO2), epoxy resins along with a known curing agent. Therefore, common influences of GO as well TiO2 substances upon the curing process of epoxy systems all along with thermo-mechanical performances of GO-TiO2 epoxy composites were conversed in detail. Herein, assimilation of GO particles resulted to accelerate the curing process of epoxy systems. GO-TiO2 epoxy composites were found to be capable of increasing ultimate tensile strength by up to 59%, flexural strength by 79%, and notable increment in their mechanical properties too was evident while compared with the outcomes of unmodified epoxy based thermosets developed for the purpose. Fracture surface along with tensile properties were made experiential by the way of field-emission SEM and further observations over these micrographs shows in for the occurrence of ductile fracture mechanism with respect to GO addition. Thermal analysis results make public that decomposition temperature of developed composite was up to 470 °C.

Journal of Building Engineering

Abstract In this research, a novel attempt has been made to reuse the ever-growing electronic was... more Abstract In this research, a novel attempt has been made to reuse the ever-growing electronic waste (E-waste) based materials as filler in order to improve the structural strength of concrete beams, which can be utilized in the construction of buildings. Herein, a traditional beam casting method is adopted for developing the proposed newer concrete sample cubes. e-waste materials are sized down to a particle size of 12 mm with the help of a shredding machine. These downsized e-waste particles are used as partial replacement materials for coarse aggregate viz. gravels in the range of 0–20 wt% in order to fabricate M25 grade concrete cubes. Structural behavior of the developed concrete reveals that conversion of e-waste as coarse aggregate exhibits better compression and flexural strength when compared to that of conventional material made cubes. Upon comparison of beams, it could be seen that the load carrying capacity also increases from 426 kN to 480 kN, and the compressive strength of the beams has also been improved from 18 N/mm2 to 30 N/mm2. Obtained results further demonstrate that replacement of coarse aggregate with E-waste displays better performance up to 15 wt%; however, further addition of e-waste displayed a decremental trend in the case of structural strength.

International Journal of Metalcasting

International Journal of Metalcasting

Composites Part B: Engineering

Abstract Friction Stir Processing (FSP) technique was employed in this research to fabricate copp... more Abstract Friction Stir Processing (FSP) technique was employed in this research to fabricate copper surface composites through incorporating a hybrid mixture of reinforcement particles. Hybrid combination of advanced nitride based ceramic particles (25% AlN + 75% BN) was dispersed onto the surface of copper matrix at varying volume fractions through FSP technique. Results demonstrated an increase in mechanical properties with respect to increase in the amount of particle dispersion. Mechanism of fracture of developed set of surface composites was studied with the aid of the fractography. A tremendous increase in wear resistance was observed with respect to increase in the hybrid particle dispersion owing the hardness and the self-lubricating characteristics of dispersed ceramic particles.

World Journal of Engineering, Dec 20, 2022

CRC Press eBooks, Jan 10, 2022

2013 International Conference on Current Trends in Engineering and Technology (ICCTET), 2013

Increasing the problem of Global warming, green house effects, climate changing, etc. we want tos... more Increasing the problem of Global warming, green house effects, climate changing, etc. we want tosave our earth. If save our earth, our using/manufacturing products do not affect earth or not spoil the earth. So we want to make eco friendly products. This type of eco friendly products are manufacturing by major constituents of Natural or natural composite materials. Composite materials constitute a significant proportion of the engineered materials market ranging from everyday products to sophisticated niche applications. Natural fibers are worth as weight-saving materials. Natural fibers have been used to reinforce materials for over 3,000 years. Natural fibers have the advantage that they are renewable resources and have marketing appeal. Due to the demand and needs we want to find out new combination eco-friendly materials either recyclable or bio degradable. In this fibers may be using for bio degradable/ recyclable packaging, sealing, and fabrication applications. So we want to study the properties of Maize fibers. Alkaline treating is essential one of Natural fibers treating. Alkaline treated Maize fibers properties are having better Tensile and elongation compare to raw Maize fibers.

Advances in Materials Science and Engineering

The aim of this study is to carry out a focused literature review on the mechanical and tribologi... more The aim of this study is to carry out a focused literature review on the mechanical and tribological behaviour of AlCoCrFeNi High Entropy Alloys (HEA). HEAs are a proficient class of alloys designed by the use of several constituent alloying elements in equiatomic or close to equiatomic ratios. In view of their distinctive property range, there has been huge attention on this class of alloys. Among the various group of HEAs, AlCoCrFeNi-based HEAs have attracted interest due to their enhanced properties. Various AlCoCrFeNi-based HEAs are developed by adding additional elements such as Mo, Ti, and Zr. The effect of these alloying constituents on the mechanical, metallurgical, and tribological performance of the AlCoCrFeNi HEA is discussed in detail. In addition to that, the various techniques used to produce these HEAs are also discussed.

Machine learning models were introduced to develop a relationship between the elemental compositi... more Machine learning models were introduced to develop a relationship between the elemental composition and degraded mechanical properties in metallic materials due to the presence of hydrogen. Single layer and multilayer feed forward back propagation algorithm was developed as artificial neural network based machine learning models to predict the mechanical properties of hydrogen charged metallic materials. Multilayer feed forward back propagation model was used to predicts the tensile strength, had a network topology of 12-13-3-2. And the single layer feed forward back propagation model was employed to predict the percentage of elongation, has a network topology of 12-11-1. The developed models were validated and tested with unknown inputs and their capability was studied. The models were evaluated using Mean Absolute (MAE) value and represented the scatter diagram to demonstrate the efficiency of the models. The R-value for both the models seems to prove that the models are ready to ...

ArXiv, 2010

In this paper, research on AI based modeling technique to optimize development of new alloys with... more In this paper, research on AI based modeling technique to optimize development of new alloys with necessitated improvements in properties and chemical mixture over existing alloys as per functional requirements of product is done. The current research work novels AI in lieu of predictions to establish association between material and product customary. Advanced computational simulation techniques like CFD, FEA interrogations are made viable to authenticate product dynamics in context to experimental investigations. Accordingly, the current research is focused towards binding relationships between material design and product design domains. The input to feed forward back propagation prediction network model constitutes of material design features. Parameters relevant to product design strategies are furnished as target outputs. The outcomes of ANN shows good sign of correlation between material and product design domains. The study enriches a new path to illustrate material factors a...

This paper has a propensity to identify low cost and ordinarily available reinforcements besides ... more This paper has a propensity to identify low cost and ordinarily available reinforcements besides comparatively reviewing fly ash, bagasse ash, rice husk ash reinforced aluminium composites. This has led to microstructure, mechanical and wear characteristic investigation of newer composite developed through stir casting with cenosphere, rock dust and e-waste cathode ray tube (CRT) panel glass powder. Comparison over experimental results with available reported data of said reinforcements clarifies that newer reinforcements have also yielded equivalent properties. Addition of these newer reinforcements up to 10% increases the tensile strength whereas maximum of 65.12% hardness raise is attained for cenosphere and 63.04% for CRT addition to that of Al 6061 T6. Tensile strength increases up to 9.84% for 15% cenosphere reinforcement, 9.02% for 10% CRT addition. Addition of cenosphere and rock dust up to 15% increases the wear resistance but in the case of CRT powder, wear resistance is h...

The current research investigates the effect of electric discharge machining (EDM) and material p... more The current research investigates the effect of electric discharge machining (EDM) and material parameters on material removal rate (MRR), tool wear rate (TWR) and surface roughness (Ra) while machining the novel aluminium rock dust composite. Experiments have been performed in Vidyunt EM 150 EDM machine by considering parameters namely discharge current, pulse ON time, pulse OFF time, reinforcement size and level. The composites have been prepared through stir casting method by reinforcing various sizes (10, 20 & 30 μm) of rock dust particles with aluminium 6061 and at different levels (5, 10 & 15%). Since the number of input parameter is more, Taguchi’s design of experiments has been used to reduce the number of trials and grey relational analysis (GRA) technique has been used for optimization. Analysis of variance has been performed to identify the significance of the parameters and it has been found that all the considered parameters have significant effect on response variables...

Proceedings of the Institution of Mechanical Engineers, Part C: Journal of Mechanical Engineering Science

Primary focus of the current investigation is to analyze the effect of friction stir processing u... more Primary focus of the current investigation is to analyze the effect of friction stir processing upon AlCoCrCuFe addition on Copper metal-metal surface composites. Copper surface composite along with the prepared novel AlCoCrCuFe high-entropy alloy (HEA) formulated through arc melting technique as reinforcement material is developed in the course following Friction Stir Processing (FSP) technique. Effect of HEA is interested in understanding the microstructural, mechanical and tribological behavior for its 5, 10 and 15 vol% distribution into copper surface. Consequently, fine grain size and hard HEA reinforcement presence upfront the achieved improvement in copper material hardness values. HEA particle additions into base copper matrix viz. fabricated surface composite, originate the following: Strength magnitude is superior than the unprocessed base material; Wear rate lessens towards any addition; Friction coefficient improvises even for minor reinforcement introductions. Among the...

Silicon

The current study focuses on developing Mg/CRT/BN hybrid composite and optimization of reinforcem... more The current study focuses on developing Mg/CRT/BN hybrid composite and optimization of reinforcement and drilling parameters for better surface finish, reduced thrust force and temperature while drilling the composite. The specimens are produced through powder metallurgy method by incorporating silica rich cathode ray tube (CRT) panel glass powder having rich silica content and boron nitride. Along with CRT particle size (10, 30 and 50 μm) and proportions (5, 10, 15 wt.%), machining parameters namely cutting speed, feed rate and diameter of the tool were considered for optimization. The results reveal that the surface roughness, thrust force and temperature in drilling rose with raise in reinforcement size and weight %. Analysis of Variance (ANOVA) results indicate that every one of the input constraints have considerably affected the response variables. The regression model formed possesses enough capability to predict the output variables that too with minimal error. The optimum parameter combination for multi quality characteristics predicted by GRA gives better results.

Metals and Materials International

This research demonstrates the application of machine learning models and statistics methods in p... more This research demonstrates the application of machine learning models and statistics methods in predicting and analyzing dry sliding wear rates on novel copper-based surface composites. Boron nitride particles of varying fractions was deposited experimentally over the copper surface through friction stir processing. Experimental and statistical analysis proved that the presence of BN particles can reduce wear rate considerably. Analysis of worn-out surface revealed a mild adhesive wear during low load condition and an abrasive mode of wear during higher load conditions. Artificial neural network based feed forward back propagation model with topology 4-7-1 was modeled and prediction profiles displayed good agreement with experimental outcomes.

Composites Part B: Engineering

Abstract This technical article top up in presenting the research over composites consisting of G... more Abstract This technical article top up in presenting the research over composites consisting of Graphene oxide(GO), Titanium di oxide (TiO2), epoxy resins along with a known curing agent. Therefore, common influences of GO as well TiO2 substances upon the curing process of epoxy systems all along with thermo-mechanical performances of GO-TiO2 epoxy composites were conversed in detail. Herein, assimilation of GO particles resulted to accelerate the curing process of epoxy systems. GO-TiO2 epoxy composites were found to be capable of increasing ultimate tensile strength by up to 59%, flexural strength by 79%, and notable increment in their mechanical properties too was evident while compared with the outcomes of unmodified epoxy based thermosets developed for the purpose. Fracture surface along with tensile properties were made experiential by the way of field-emission SEM and further observations over these micrographs shows in for the occurrence of ductile fracture mechanism with respect to GO addition. Thermal analysis results make public that decomposition temperature of developed composite was up to 470 °C.

Journal of Building Engineering

Abstract In this research, a novel attempt has been made to reuse the ever-growing electronic was... more Abstract In this research, a novel attempt has been made to reuse the ever-growing electronic waste (E-waste) based materials as filler in order to improve the structural strength of concrete beams, which can be utilized in the construction of buildings. Herein, a traditional beam casting method is adopted for developing the proposed newer concrete sample cubes. e-waste materials are sized down to a particle size of 12 mm with the help of a shredding machine. These downsized e-waste particles are used as partial replacement materials for coarse aggregate viz. gravels in the range of 0–20 wt% in order to fabricate M25 grade concrete cubes. Structural behavior of the developed concrete reveals that conversion of e-waste as coarse aggregate exhibits better compression and flexural strength when compared to that of conventional material made cubes. Upon comparison of beams, it could be seen that the load carrying capacity also increases from 426 kN to 480 kN, and the compressive strength of the beams has also been improved from 18 N/mm2 to 30 N/mm2. Obtained results further demonstrate that replacement of coarse aggregate with E-waste displays better performance up to 15 wt%; however, further addition of e-waste displayed a decremental trend in the case of structural strength.

International Journal of Metalcasting

International Journal of Metalcasting

Composites Part B: Engineering

Abstract Friction Stir Processing (FSP) technique was employed in this research to fabricate copp... more Abstract Friction Stir Processing (FSP) technique was employed in this research to fabricate copper surface composites through incorporating a hybrid mixture of reinforcement particles. Hybrid combination of advanced nitride based ceramic particles (25% AlN + 75% BN) was dispersed onto the surface of copper matrix at varying volume fractions through FSP technique. Results demonstrated an increase in mechanical properties with respect to increase in the amount of particle dispersion. Mechanism of fracture of developed set of surface composites was studied with the aid of the fractography. A tremendous increase in wear resistance was observed with respect to increase in the hybrid particle dispersion owing the hardness and the self-lubricating characteristics of dispersed ceramic particles.