Taguchi Methods Research Papers - Academia.edu (original) (raw)

- by
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- Computer Science, Fuzzy Logic, Neural Networks, Customer Orientation
- by Mohsen Manoochehri
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- Manufacturing, Optimization techniques, Machining, ANOVA

An experimental research is performed in this study in order to optimize the parameters of planetary driving gear. An orthogonal array and analysis of variance (ANOVA) are employed to investigate the factors: material, module and gear width on the safety coefficient for surface durability. Statistical methods of signal to noise ratio and ANOVA with 95% confidence were applied to quantify the effects of considered factors as well as to obtain the minimum value of the safety coefficient for surface durability. The results of this analysis have shown that the gear module with 80.953% has the greatest influence on the safety coefficient for surface durability of the gear. The second influential factor is a gear width with 18.392%. And the material with 0.615% has the least influence on the safety coefficient for surface durability of the gear. The regression analysis is also shown in the study.

- by Applied Engineering Letters and +2
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- Engineering, Mechanical Engineering, Optimization (Mathematics), Optimization techniques
- by Nilda Tri Putri
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- Quality Management, Process Control, Design of Experiments, Quality Improvement

In present study, the tribological behavior of hybrid composites with A356 aluminum alloy matrix reinforced with 10 wt.% of SiC and 5 wt.% of graphite was investigated using the Taguchi method. The composites were produced by the compocasting procedure. The tribological properties were studied using block-on-disk tribometer under lubricated sliding conditions at different normal loads (40N, 80N and 120N), sliding speeds (0.25 m/s, 0.5 m/s and 1 m/s) and sliding distances (150 m, 300 m and 1200 m). Analysis of the wear rate results was performed using the ANOVA technique. The lowest level of wear rate corresponded to the contact conditions with normal load of 40N, sliding speed of 1.0 m/s and sliding distance of 1200 m.

- by Blaza Stojanovic and +1
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- Engineering, Materials Engineering, Mechanical Engineering, Materials Science
- by Hefin Rowlands
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- Fuzzy Logic, Neural Networks, Customer Orientation, Neural Network
- by Amayrani Hdez
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- Taguchi Methods

This current research work aims at studying the influence of solid specimen dimensions such as total length, useful length, outer diameter and fillet radius on yield shear stress of mild steel (AISI 1020) in torsion testing. L9 orthogonal array was selected for design of experiments. Three output parameters of torsion testing such as modulus of rigidity, yield shear stress and ultimate shear stress were calculated by using Nadai method. Single objective optimization was done by using Taguchi method. Further effort was made to simultaneously optimize the specimen dimensions using grey relational analysis (GRA). It was found that, yield shear stress was minimum for the specimen dimensions with total length 130 mm, useful length 50 mm, outer diameter 8 mm and fillet radius 3 mm. The confirmation test was also carried out to check the GRA results.

Metal inert gas welding (MIG) is a joining and fabrication process which is used extensively in 25 years due to its advantages such as low heat input, less arc, production efficiency, less heat effective zone and environment friendliness. MIG welding can be used to join different types of ferrous metals and non-ferrous metals that cannot be welded by non-traditional welding processes. This welding process parameters was used during joining of metal and parameter such as welding current, welding voltage, welding speed, nozzle distance, wire feed rate, gas flow rate and torch angle. Result The various technique used in optimization of welding parameter such as regression techniques, taguchi s technique and statistical process in this paper are study of all aspect to relative in improvement for welding quality and strength.

- by naval mahore
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- Parameter estimation, Taguchi Methods, Mig Welding, Mild Steel

Injection Moulding is considered to be one of the manufacturing processes for mass production of plastic products from both thermoplastic and thermosetting plastic materials. Material is feed into a heated barrel, mixed, and forced into a mould cavity by a reciprocating screw or a ram injector, where it cools and hardens to the configuration of the mould cavity The mould is used to constructed either steel or aluminium, and precision-machined to form the features of the desired part. Injection moulding is widely used for manufacturing a variety of parts, from the smallest component to entire body panels of cars. If tool design properly it effects the quality of the compound .It can lead to shrink marks, pore finish, short shots, wrapping, and bubbles formation in parts .Such problem arises when injection mould is not design properly. This research used the experimental design of Taguchi method to determine the injection moulding conditions, and the injection processes were simulated using the commercial software C-MOLDTM. Both moulding process conditions and factors were discussed regarding the degree of warpage of a thin shell part. The results showed that the packing pressure had the greatest influence on the warpage, followed by mould temperature, melt temperature, and packing time. Plastic injection moulding comprises plastication, injection, packing, cooling, and ejection and process/part quality control applications. These steps are followed for the parts, which are designed by CAD & to be produced by plastic injection method. This paper deals with the literature review on study of application of the taguchi method. The Taguchi robust parameter design has been widely used over the past decade to solve many single response process parameter designs. Taguchi optimization method was used by exploiting mould analyses based on two level factorial designs.

Membrane distillation (MD) is a developing thermally driven membrane desalination technology that has been applied in four different basic configurations. In membrane distillation, a hot, saline feed stream is passed over a hydrophobic membrane. The temperature difference between the two sides of the membrane leads to a vapour pressure difference that causes water vapour to permeate through the membrane pores, and then condensed on the cold side of the membrane. The hydrophobicity of the membrane prevents the liquid from passing through the pores, while the water vapour is allowed to pass through. The technique offers the attractiveness of operation at atmospheric pressure and low temperature (40– 90oC), and has the theoretical ability to achieve 100% salt rejection. Thus, low-grade energy like solar and waste energy can be used for desalination.
In this work, an experimental investigation of the performance of Air Gap Membrane Distillation (AGMD) system was performed for seawater and laboratory prepared salt feed water solutions. The influences of system operating parameters such as feed temperature, feed flow rate, coolant temperature, coolant flow rate and air gap width on permeate flux were studied. The effects of membrane pore size as well as the concentration of feed solution on permeate flux were also investigated. The performance of the AGMD unit was statistically optimized using design of experiment (DOE) and Taguchi technique. Furthermore, theoretical model describing heat and mass transfer analysis in AGMD was developed and discussed in detail.
The permeate flux was found to increase with increasing feed temperature and feed flow rate. However, it decreased with increasing air gap width and coolant temperature. The system performance tends to increase marginally with increasing coolant flow rate. The system performance is mostly dominated by the effect of both feed temperature and air gap width. Feed flow rate and coolant temperature have relatively considerable effect on flux. Increasing the membrane pore size from PTFE 0.22µm to PTFE 0.45µm leads to about 10% increment in flux production. While increasing the feed concentration from 0.075g/L to 60g/L lead to about 11% drop in permeate flux. The tested double-stage AGMD design was capable of achieving a maximum permeate flux of 128.46kg/m2hr, which is almost twice that of single stage unit, under the same experimental conditions.
In general, the theoretical model results were found to be in good agreement with the experimental data as the maximum deviation of model results was within 15%. The model was also used to predict thermal efficiency and temperature polarization of the AGMD system.
Regarding system optimization using Taguchi methodology, the developed model proved to be in good agreement with the experimental data with a maximum deviation of about 10%. According to Taguchi orthogonal arrays, the experimental and model optimum system performance was found to be 76.0457 kg/m2h, and 74.5916 kg/m2h respectively. The conditions for the optimum performance are 80oC feed temperature, 5 L/min feed flow rate, air gap width of 3mm and coolant temperature of 20oC.

A decrease in the variation of the output variable is done with new parameter values obtained by design of experiment (DOE) in the production. The purpose is to find the optimum values of factors / interactions which cause variation in the output level. However, because of both reduction in costs and the need to decide within a short time in competitive environment, companies avoid from long-lasting experiments. Another reason of not preferring DOE is that the computations are so complicated and hard to understand.
DOE done by Shainin Method can result in more than 70% reduction in the variation by removing negative reasons indicated above. The point of the method which has its own tools is to determine the important factors causing variations (Red X, Pink X, and Pale Pink X) are eliminating unimportant factors. Thus, net results can be reached by applying full factorial experiment.
Taguchi Method is an experimental design technique that reduces the number of experiments significantly by using the orthogonal arrays and also tries to minimize the effects of the uncontrollable factors.
In this study, on an industrial problem by applying Shainin and Taguchi Methods, differences in the results which emerged indicated.

- by Barış AKSU and +1
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- Design of Experiments, Optimization techniques, Taguchi Methods, Shainin Methodology
- by Alok Satapathy
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- Experimental Design, Comparative Study, Parameter estimation, Erosion

Laser Beam Machining (LBM) is one of the most advanced machining processes that is used for shaping, cutting and machining the virtually whole varieties of engineering materials. In LBM, the surface roughness and kerf taper significant factors affects the product characteristics and quality of the product. During this analysis work, the impact of process parameters like cutting speed, frequency and Gas pressure surface roughness (Ra) of steel (AISI 321 stainless steel) material in laser cutting machining. L9 orthogonal array was generated for fractional factorial design (Taguchi analysis) for better understanding of the interaction among the process parameters. The values of surface roughness for steel were calculated by Regression model equations, Taguchi Analysis and Genetic Algorithm were employed to the parametric analysis of the experimental data. Taguchi analysis gives the optimum values of surface roughness and kerf taper, which are 2.2981 µm and 0.1637° respectively. Genetic algorithm was used for providing a set of optimum values for both outputs simultaneously.

The objective of this research is to utilize Taguchi methods to optimize material removal rate (MRR) during machining operation on CNC turning of aluminium samples. The material removal rate has been identified as the quality traits and assumed to be directly linked to productivity. There are three important cutting parameters namely, cutting speed, feed rates and depth of cut, which has been considered during the machining of Aluminum alloy. The turning parameters can be determined by using Taguchi method for the optimization of MRR. An Orthogonal array has been selected and constructed to find the optimal levels and to analyze the effect of the turning parameters. The signal-to-noise (S/N) ratio has been calculated to construct the analysis of variance (ANOVA) table. The optimal results have been verified through conformation experiments with minimum number of trials as compared with full factorial design.

- by Sujit Singh and +1
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- CNC Machine tools, Taguchi Methods

Variation in product performance can be seen as
a design failure. The fundamental principle of robust design
proposed by Taguchi is to improve the quality of a product
by minimizing the effect of causes of variation, without totally
eliminating the causes. A method of robust design is
briefly explained and its application is demonstrated with the
help of a case study from Roots Industries Ltd., Coimbatore.
This paper describes how the inherent modeling of product
and process requirements in key characteristics (KCs) can be
used to express and capture the product design intent. KCs
are those features which significantly affect product function
and performance, or occur when there is variation. A prototype
software program (VRM Tool) was developed to house
all the critical design data for process optimization and its
eventual reuse. We establish a systematic process of identifying,
assessing and mitigating risk in the early stage of design
for a Windtone class of automobile electric horn, using robust
design concept. The results suggest that the proposed robust
design method is an efficient, disciplined approach that
can assist a product delivery team in designing for a better
functional performance and improved reliability of the entire
system.

- by Mnj Nataraj
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- Taguchi Methods

The paper presents the results of experimental investigation on mechanical properties, machining Characteristics & Surface Roughness of an Aluminum Metal Matrix Composite (Al/SiC). Composite is prepared by using stir casting technique. The influence of reinforcement ratios of 0, 4 and 8 wt. % of SiC on mechanical Properties is discussed. Machining of composite by using turning operation and its characteristics that influence the cutting force and surface roughness such as feed rate, depth of cut and cutting speed was studied. It was observed that increase of reinforcement element addition produced better mechanical properties. Experimental results revel that the cutting forces increases with increase in weight percentage and Flank wear and decreases with increase in the cutting speed. It was observed that the cutting speed, Flank wear and the feed rate at constant depth of cut affects the surface roughness during dry turning operation of cast MMCs. Taguchi L27 orthogonal array technique is considered with four factors i.e. Material, cutting speed, feed & artificially induced tool wear, each at 3 different levels, has been employed. The experimental results reveal that cutting speed is most influencing parameter when cutting force Fx is considered. Similarly when surface roughness is considered tool wear plays the most influencing factor.

Original scientific paper Taguchi method has been used to analyse the influence of the coefficient of the trochoid radius, the number of revolutions and the working pressure on the change in the flow rate and the volumetric efficiency of the trochoidal rotary pump with internal gearing. The coefficient of the trochoid radius, as a geometrical parameter and the number of revolutions and the pressure, as working parameters are considered influential factors in this paper. Taguchi robust design and orthogonal matrices have been applied to design the experiment and to determine the degree of the factors influence, as well as their optimum values. The highest values both for the flow rate and the volumetric efficiency have been obtained for the coefficient of the trochoid radius of 1.375, the number of revolutions of 2000 min −1 and for the working pressure of 1 bar. The conformation of the experiment shows that Taguchi method can be successfully used for selection of the optimal combination of parameters so that the maximum volumetric efficiency of the trochoid pump can be achieved.

- by Blaza Stojanovic and +1
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- Engineering, Mechanical Engineering, Optimization techniques, Gears
- by Antonio Ludovico
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- Powder Metallurgy, Titanium, Experimental Design, Technology development

The utilization of carburizing materials in engineering fields has undergone so many tremendous
changes in engineering fields. Gas carburizing is one of the surface engineering techniques widely
used in the process of heat treatment in all the engineering industries. Carburizing is a complex
process; it involves a number of variables for the success of the carburizing process. Effective quality
control is possible through carburizing the components under optimal conditions .The objective of the
paper is to obtain an optimal setting of carburizing process parameters (carburizing temperature,
soaking time, gas diffusion effect ,furnace air circulation ) resulting in optimal values of the correct
depth of the case in the surface of the components. Taguchi method is a powerful design of the
experiment (DOE) tool for engineering optimization of a process. Analysis of variance (ANOVA) is
used to study the effect of process parameters and establish correlation among the carburizing
temperature, soaking time, gas diffusion effect, furnace air circulation.

- by Dr Ajay Mishra
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- Taguchi Methods, Optimization method using Taguchi Method, Taguchi method, Taguchi

Injection moulding is the most common technique of plastic forming. The industry is usually referred to as a MIMO (multi-input-multi-output) process that is basically involved with several input parameters (control factors) yielding almost inconsistent results on output variables (response factors). As a result of this, product quality is a major challenge in such unstable manufacturing environment. Taguchi methods (TMs) are commonly used in plastic injection molding industry (PIMI) as a robust optimization technique to serve for a wide range application from product design optimization to mould design and from optimal material selection to processing parameter optimization. This paper primarily aims at providing a comprehensive chronological review and classification on different applications of TMs in PIMI to serve for the following two purposes: first to present an evolutionary trend of TMs in PIMI and second for a comparative capability analysis of TMs in selected industrial-based case studies. Major pros and cons of TMs in will also be highlighted as compared to other optimization techniques rather than Taguchi Method.

In this paper, the Taguchi method is used for the Optimization of Tungsten Inert Gas Welding on 6063 Aluminum Alloy. The Taguchi method L27 is used to optimize the pulsed TIG welding process parameters of 6063 aluminum alloy weldments for maximizing the mechanical properties. Analysis of Variance is used to find the impact of individual factors. Then the optimal parameters of the TIG welding process is determined and the experimental results illustrate the proposed approach.

This paper analyses wear behaviour of Al-Si alloy A356 (AlSi7Mg) based composite reinforced with 10 wt. % SiC, and compare it with the base A356 alloy. Composite are obtained using the compocasting procedure. Tribological testing have been conducted on a block-on-disc tribometer with three varying loads (10, 20 and 30 N) and three sliding speeds (0.25, 0.5 and 1 m/s), under dry sliding conditions. Sliding distance of 300 m was constant. The goal of the paper was to optimize the influencing parameters in order to minimize specific wear rate using the Taguchi method. The analysis showed that the sliding speed has the greatest influence on specific wear rate (39.5 %), followed by the load (23.6 %), and the interaction between sliding speed and load (19.4 %). A regression analysis and experiment corroboration was conducted in order to verify the results of the optimization. Specific wear rate prediction was done using artificial neural network (ANN).

- by Blaza Stojanovic and +3
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- Engineering, Materials Engineering, Mechanical Engineering, Materials Science

In this paper the efficiency and output power are considered, as the most important characteristics of the worm gear reducer, and their optimization was performed. As the influencing factors, the viscosity of the lubricant, the input number of revolutions and the current intensity on the control unit, were taken into account. Experimental tests were performed on the basis of the L27 Taguchi orthogonal matrix. Due to multiple output issues, the Grey method was applied. Based on the Grey relational grade using the ANOVA analysis, the optimal combination of factors is A3B2C3 ie. Grey relational grade is the highest for the number of revolutions 2000 min-1, the viscosity of the lubricant 460 mm 2 /s and current intensity of 0.2 A. Also, Grey relational grade was most influenced by the current intensity on the control unit with 72.1%.

- by Applied Engineering Letters and +3
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- Engineering, Mechanical Engineering, Optimization (Mathematics), Process Optimization

This paper theologies with the Taguchi technique for the optimization of lathe parameters on a cylindrical round workpiece of EN19 steel. In industry main objective is to have a good quality surface or to get a maximum material removal rate. The three significant parameters of lathe which are used are speed, feed and depth of cut. The number of experiments has been carried out using Taguchi's orthogonal array in the design of experiments (DOE).Analysis of Variance is used to identify the effects of parameters on the workpiece. Roughness values are measured using a surface roughness meter. From experimental results the mathematical models were generated for the parameters.

- by GRD JOURNALS and +2
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- Optimization techniques, Mathematical Modeling, Taguchi Methods, Material Removal Rate (mrr)

In this study, an attempt has been made to evaluate the complex correlations occurred between double pulsed gas metal arc welding (DP-GMAW) process parameters and weld bead geometry using two statistical methods: Taguchi orthogonal array design method and response surface methodology. The Taguchi method was applied to plan the design of experiments (DoE). Contour and surface plots were made using response surface methodology (RSM) to understand the effect of different parameters on the bead geometry. It was found that at a particular range of arc voltage higher mean current, higher pulse frequency along with lower thermal pulse frequency produced optimum conditions for high depth of penetration with low or moderate bead width and height. The optimization of process parameters was also conducted using RSM and the optimum parameters were compared with experimental trials. Three second-order statistical models were also developed using experimental results to predict the weld bead parameters from the process parameters. The model developed was checked for its adequacy using ANOVA. Results of confirmation experiments showed that the model can predict the bead geometry with reasonable accuracy.

- by Dr. Manidipto Mukherjee and +1
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- Welding Technology, Welding Engineering, Response Surface Methodology, Statistical Modeling

Nickel based super alloys have found widespread applications in aerospace, nuclear, chemical and petrochemical industries due to their excellent thermo mechanical properties. However, they pose serious challenges to the manufacturing sector due to their difficult to cut nature causing metallurgical damages to the work piece due to the very high cutting forces which leads to work hardening, surface tearing and distortion in final machined components. INCONEL Alloy 625 is a nickel-based super alloy that possesses high strength properties and resistance to elevated temperatures. The present work is focused on investigating the effect of process parameters on machinability performance characteristics and there by optimization of the turning INCONEL Alloy 625 of based on Taguchi-based Grey relational method. The cutting speed, feed and depth of cut were used as the process parameters whereas the cutting force, surface roughness was selected as performance characteristics. DEFORM 3D has been used to simulate the machining of INCONEL 625 to predict the cutting forces. The experimental and simulation results are compared.

Al6061 with hard particle reinforcement contains higher stiffness, maximum strength and wear resistance when compare to unreinforced alloy. They can be usage for self-propelled automotive components and aircraft construction. Metal matrix composite (MMC) concentrate chiefly on amended specific strength and wear resistance application. Aluminium as base material and coconut shell ash(CSA) as reinforcement has good potential. The principle difficult is to create this composite in a practical manner. In this project Al6061-CSAp castings with different volume fraction of CSA were produced in an argon atmosphere by an enhanced stir casting method. We found that with more % of CSA addition there is an improvement in specific strength of the composite. Pin on disc equipment used for dry sliding wear analysis of MMCs. The Taguchi analysis revealed the improved specific strength as well as wear resistance. EDS analyses showed oxide phases presence in the castings. Surface Morphology particle distribution were examined in detail by SEM.

The present work focused on investigating the effect of process parameters on surface roughness and thereby optimizing parameters in turning of OHNS high carbon steel based on Taguchi technique with DNMG carbide insert. Taguchi method stresses the importance of studying the response variation using the signal-to-noise ratio, resulting in minimization of quality characteristic variation due to uncontrollable parameter. The results are analyzed using Analysis of variance (ANOVA) method. Cutting speed, feed, depth of cut were used as the process parameters whereas surface roughness selected as performance characteristic. The L9 orthogonal array based on Taguchi method was used to conduct experiments. It was observed that cutting speed is the most influential process parameters on surface roughness.

In this paper, we have tested on a plasma arc cutting machine but by using the Taguchi method. This machine is accurate, high finishing. This process is very cheap than another process like laser cutting. In the market, this process has a high demand. In this paper, we will go to study the Cutting Speed and Arc Gap and another import factor in this process are using the Taguchi method by using Minitab 17. We went Analysis Taguchi Analysis: surface roughness, kerf versus speed, ... ideas, air gap. By using this method ANOVO we will find General Linear Model: surface roughness versus speed, ... ides, air gap In this research we will use Mild Steel E350.

- by Chirag Kolambe
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- Taguchi Methods

Investigation of tribological behaviour of the hybrid composite, whose substrate is Al/Si alloy A356, reinforced with 10 wt. (%) of silicon carbide (SiC) and 0 and 5 wt. (%) of graphite (Gr) is presented in this paper by application of the Taguchi method. The composites are obtained by the compocasting procedure. The tribological investigations were realised on the tribometer with the block-on-disc contact pair in lubricating conditions and for the two values of the sliding speed, 0.25 and 1 m/s, two values of load 40 and 120 N and two values of the sliding path, 1200 and 2400 m. The wear traces were measured within the experiment, namely the wear intensities were calculated and results analysis was performed by application of the ANOVA technique. The strongest influence on the wear intensity was exhibited by the normal load (39.05%), then follow wt. (%) of the reinforcer (26.84%), the sliding speed (20.93%) and the sliding path (10.72%). The smallest wear appears in hybrid composite Al/SiC/Gr with 5 wt. (%) of the graphite reinforces, at the lowest load of 40 N, sliding speed of 1 m/s and along the sliding path of 2400 m. The main aim of their study is to provide new information and knowledge about the tribological behaviour of hybrid composites with a base of Al-Si alloy A356 reinforced with 10 wt. (%) SiC and with the addition of 0 and 5 wt.% Gr under lubricated sliding conditions.

- by Blaza Stojanovic
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- Engineering, Materials Engineering, Mechanical Engineering, Materials Science

Photocatalytic degradation of nitrobenzene (NB) and an azo dye (namely azophloxine) was carried out using zinc oxide (ZnO) nanoparticles which were prepared by electrochemical method using zinc electrodes in aqueous oxalic acid solution. Taguchi methodology was applied for studying the effects of four experimental parameters namely catalyst dosage (g/l), time of reaction (h), pH and H 2 O 2 dose. Degradation efficiency of NB was found to increase with an increase in H 2 O 2 concentration and decrease in catalyst dosage and pH. Maximum NB degradation efficiency of 98% was observed at catalyst dosage=1 g/l, pH=3, H 2 O 2 to C 6 H 5 NO 2 ratio of 7 mol/mol after 5 h of treatment. Similarly, maximum dye degradation efficiency of 58% and color removal efficiency of 78% was observed at catalyst dosage=1.25 g/l, pH=4, H 2 O 2 concentration of 8 mmol/l in 5 h. Overall, prepared ZnO nanoparticles performed better for NB degradation in comparison to azo dye degradation.

- by Vikky Anand
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- Optimization, Taguchi Methods, Photocatalytic degradations

Recovery of fine coals from coal preparation tailings and recycle of processing water are of both economic and environmental incentives, not only preserving natural resources but also reducing environmental consequences of discharging large volume of tailings. Recent developments in the use of various gravity equipments in fine-coal beneficiation have been discussed and their relative merits have been compared. In this study, the application of multiple linear regressions and Taguchi experimental design method for modeling and optimizing of some operations variables of Multi-Gravity Separator (MGS) and Falcon concentrator for lignite coal cleaning was discussed. The variables considered in this study include the pulp solid ratio, drum speed, tilt angle, shaking amplitude, wash water rate, feed rate for MGS, and the gravity force, solids rate, flow rate, water pressure for Falcon concentrator. The positive and negative effects of variables and the interaction between variables ash content and recovery of clean coal were determined. The predicted values were found to be in good agreement with experimental values (R2 values of 0.807 and 0.944 for ash content and combustible recovery of clean coal, respectively) for MGS. However, the match of predicted values with the actual data points indicates a poor fit (R2 value of 0.577 and 0.399 for ash content and combustible recovery values, respectively) of the equation for Falcon concentrator.

- by Eyüp SABAH and +1
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- Clean Coal Technologies, Modelling, Taguchi Methods, Optimization method using Taguchi Method
- by Giorgos Kouzilos
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- Polymer Engineering, Numerical Simulations, Manufacturing, Heat Transfer

This study proposed an incorporated simulation–Taguchi model to optimize a petrol station sales rate. In addition, it provided a regression model to forecast the sales rate. Initially, Witness 2014 simulation software© was used to simulate the operating system of a petrol station. Next, the obtained simulation results were used as the input for Taguchi method to optimize the process. Taguchi L4 standard orthogonal array was taken to optimize the petrol station parameters including the number of pumps, number of cashiers and customers’ interarrival times (IATs) to obtain a better sales rate. Three noise factors such as petrol station location, different cashiers and different dispensers considered as potential factors affecting the response. Based on Taguchi methodology, number of pumps and IAT were identified as highly contributing factors on the sales rate. The remaining factor (number of cashier) similarly influences the response, but the effect is not very significant. Therefore, the importance sequence of the sales rate parameter is IATs > number of pumps > number of cashiers. The regression equation was formulated to maximize the sales rate (Liter) and then verified by the confirmation runs.

Abrasive Waterjet (AWJ) cutting has proven to be an effective technology for material processing with the distinct advantages of no thermal distortion, high machining versatility, high flexibility and small cutting forces. In this paper, Taguchi robust design analysis is employed to determine optimal combination of process parameters. The Analysis of Variance (ANOVA) is also applied to identify the most significant factor. The process parameters such as pressure, transverse speed, stand of distance and abrasive flow rate are optimized to investigate their influence on Metal Removal Rate (MRR) and Surface Roughness (Ra) of Inconel. Experiments are carried out by L9 orthogonal array and the results are provided to verify this approach and credible tendencies of output parameters with respect to the input parameters are discussed, from which recommendations are made for process control and optimization. I. INTRODUCTION Abrasive water jet machining makes use of the principles of both abrasive jet machining and water jet machining. In abrasive water jet machining a small stream of fine grained abrasive particles is mixed in suitable proportion, which is forced on a work piece surface through a nozzle. Material removal occurs due to erosion caused by the impact of abrasive particles on the work surface. AWJM is especially suitable for machining of brittle material like glass, ceramics and stones as well as for composite materials and ferrous and nonferrous material. The characteristics of surface produced by this technique depend on many factors like jet pressure, Stand-off distance of nozzle from the target. Abrasive flow rate, Traverse rate, works materials. Non-contact of the tool with work piece, no heat affected zone, low machining force on the work surface and ability to machine wide range of materials has increase the use of abrasive water jet machining over other machining processes.

- by Paulo Peças
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- Engineering, Materials Engineering, Mechanical Engineering, Chemical Engineering

In the present study, a comparison of central composite design (CCD) and Taguchi method was established for Fenton oxidation.
[Dye] ini, Dye : Fe+2, H2O2 : Fe+2, and pH were identifid control variables while COD and decolorization effiency were selected
responses. 𝐿 orthogonal array and face-centered CCD were used for the experimental design. Maximum 99% decolorization and
80% COD removal effiency were obtained under optimum conditions. � squared values of 0.97 and 0.95 for CCD and Taguchi
method, respectively, indicate that both models are statistically signifiant and are in well agreement with each other. Furthermore,
Prob > � less than 0.0500 and ANOVA results indicate the good fiting of selected model with experimental results. Nevertheless,
possibility of ranking of input variables in terms of percent contribution to the response value has made Taguchi method a suitable
approach for scrutinizing the operating parameters. For present case, pH with percent contribution of 87.62% and 66.2% was ranked
as the most contributing and signifiant factor. Ths fiding of Taguchi method was also verifid by 3D contour plots of CCD.
Threfore, from this comparative study, it is concluded that Taguchi method with 9 experimental runs and simple interaction plots
is a suitable alternative to CCD for several chemical engineering applications

The hybrid philosophy behind the mixed-mode (MM) strategy aims at achieving energy-efficient buildings and sustainable development. A performance-based open-plan office design facilitates the handling of multiple design parameters to identify optimal design solutions for effective MM offices. This research presents a method of open-plan office design for an improved natural ventilation potential and reduced supplementary heating/cooling loads in the early design stage within a Mediterranean climate. Different design variables including office size, layout aspect ratio, window orientation and fraction of window opening, with several factor levels, were studied. The design of experiment developed by the Taguchi method was applied to define the most informative simulation scenarios. Analysis of variance was utilised to indicate the effectiveness of each design parameter, while the signal-to-noise ratio approach identified the near-optimal level combinations that support informed decision-making. Suggested by the EN 15251:2007 standard, the hourly dynamic simulations were conducted using TAS Engineering. The measurement criteria included airflow rate, carbon dioxide (CO 2) levels, adaptive thermal comfort and airconditioning (AC) loads. The calculated indicator was the number of hours in which a specific performance criterion is met during the occupancy period and the AC loads.

- by Hardi K Abdullah
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- Energy efficiency, Taguchi Methods, CO2 emissions, Thermal comfort