Application of grey-based Taguchi method for simultaneous optimization of multiple quality characteristics in laser transmission welding process of thermoplastics

2011 ◽  
Vol 56 (9-12) ◽  
pp. 995-1006 ◽  
Author(s):  
Bappa Acherjee ◽  
Arunanshu S. Kuar ◽  
Souren Mitra ◽  
Dipten Misra
Keyword(s):  
Taguchi Method ◽  
Welding Process ◽  
Quality Characteristics ◽  
Simultaneous Optimization ◽  
Laser Transmission Welding ◽  
Multiple Quality Characteristics

A Solution Framework for Response Surface-Based Multiple Quality Characteristics Optimization

2018 ◽  
Vol 25 (05) ◽  
pp. 1850025
Author(s):  
Sasadhar Bera ◽  
Indrajit Mukherjee
Keyword(s):  
Response Surface ◽  
Optimization Problems ◽  
Real Life ◽  
Quality Characteristics ◽  
Operating Conditions ◽  
Simultaneous Optimization ◽  
Trade Off ◽  
Multiple Quality Characteristics ◽  
Pin On Disc ◽  
Application Potential

A common problem generally encountered during manufacturing process improvement involves simultaneous optimization of multiple ‘quality characteristics’ or so-called ‘responses’ and determining the best process operating conditions. Such a problem is also referred to as ‘multiple response optimization (MRO) problem’. The presence of interaction between the responses calls for trade-off solution. The term ‘trade-off’ is an explicit compromised solution considering the bias and variability of the responses around the specified targets. The global exact solution in such types of nonlinear optimization problems is usually unknown, and various trade-off solution approaches (based on process response surface (RS) models or without using process RS models) had been proposed by researchers over the years. Considering the prevalent and preferred solution approaches, the scope of this paper is limited to RS-based solution approaches and similar closely related solution framework for MRO problems. This paper contributes by providing a detailed step-by-step RS-based MRO solution framework. The applicability and steps of the solution framework are also illustrated using a real life in-house pin-on-disc design of experiment study. A critical review on solution approaches with details on inherent characteristic features, assumptions, limitations, application potential in manufacturing and selection norms (indicative of the application potential) of suggested techniques/methods to be adopted for implementation of framework is also provided. To instigate research in this field, scopes for future work are also highlighted at the end.

Optimizing parameters for continuous electrospinning of polyacrylonitrile nanofibrous yarn using the Taguchi method

2017 ◽  
Vol 48 (3) ◽  
pp. 559-579 ◽  
Author(s):  
Chang-Mou Wu ◽  
Ching-Hsiang Hsu ◽  
Ching-Iuan Su ◽  
Chun-Liang Liu ◽  
Jiunn-Yih Lee
Keyword(s):  
Principal Component Analysis ◽  
Taguchi Method ◽  
Flow Rate ◽  
Draw Ratio ◽  
Principal Component ◽  
Quality Characteristics ◽  
Optimal Parameters ◽  
Signal To Noise ◽  
Multiple Quality Characteristics ◽  
Nanofibrous Yarn

In this study, the Taguchi method, analysis of variance, and principal component analysis were used to design the optimal parameters with respect to different quality characteristics for the continuous electrospinning of polyacrylonitrile nanofibrous yarn. The experiment was designed using a Taguchi L9(34) orthogonal array. The Taguchi method is a unique statistical method for efficiently evaluating optimal parameters and the effects of different factors on quality characteristics. The experimental results obtained by this method are more accurate and reliable than one-factor-at-a-time experiments. The control factors discussed in this work include the draw ratio, nozzle size, flow rate, and draw temperature. The quality characteristics taken into consideration are fiber diameter, fiber uniformity, and fiber arrangement. The parameters to optimize the different quality characteristics were obtained from the main effect plot of the signal-to-noise ratios, after which analysis of variance and confidence intervals were applied to confirm that the results were acceptable. Multiple quality characteristics were analyzed by principal component analysis from the normalized signal-to-noise ratios and the principal component score. Combining the experimental and analysis results, the optimum parameters for multiple quality characteristics were found to be a draw ratio of 2.0, a nozzle number of 22 G, a flow rate of 7 ml/h, and a draw temperature 120℃.

A study of multi-quality processing parameter optimization for sueded fabric

2016 ◽  
Vol 87 (4) ◽  
pp. 389-398 ◽  
Author(s):  
Chung-Feng Jeffrey Kuo ◽  
Wen-Tsung Lin
Keyword(s):  
Taguchi Method ◽  
Color Difference ◽  
Processing Parameters ◽  
Quality Characteristics ◽  
Gray Relational Analysis ◽  
Processing Parameter ◽  
Optimum Processing ◽  
Multiple Quality Characteristics ◽  
Response Table ◽  
Fabric Surface

Sueded fabric quality control depends on the processing parameter settings. The quality characteristics considered in this study are surface softness and color difference. The Taguchi method was combined with gray relational analysis (GRA) to optimize the multi-quality sueding processing parameter combinations. First, an orthogonal array is designed by using the design of experiments of the Taguchi method for the major processing parameters of the sueding machine. The signal/noise ratio and analysis of variance are calculated from the measured fabric surface softness and color difference data, significant factors influencing the quality characteristics obtained, and GRA used to remedy the deficiency in the Taguchi method, which is only applicable to single-quality characteristics. The optimum processing parameters of multiple-quality characteristics are obtained from the response table and response diagram of GRA. The quality of suede fabric can be controlled effectively by using the optimum processing parameters to set the processing parameters, and the 95% confidence interval validates the reliability and reproducibility of the experiment.

scholarly journals Grey-Taguchi-Based Optimization of Wire-Sawing for a Slicing Ceramic

Processes ◽  
2020 ◽  
Vol 8 (12) ◽  
pp. 1602
Author(s):  
Yao-Yang Tsai ◽  
Jihng-Kuo Ho ◽  
Wen-Hao Wang ◽  
Chia-Chin Hsieh ◽  
Chung-Chen Tsao ◽  
...  
Keyword(s):  
Taguchi Method ◽  
Removal Rate ◽  
Mesh Size ◽  
Quality Characteristics ◽  
Machined Surface ◽  
Wire Tension ◽  
Slurry Concentration ◽  
Multiple Quality Characteristics ◽  
The Wire ◽  
Grey Taguchi

Slicing ceramic (SC) is well-known as difficult-to-cut material. It is a hard and brittle material. The Grey-Taguchi method, which converts multiple response problems into a single response, is used to determine the effect of the process parameters for wire-sawing on multiple quality characteristics. The wire-sawing parameters include the wire tension (T), the slurry concentration (C), mixed grains mesh size (G), the wire speed (S), and the working load (P). The machining quality characteristics include a material removal rate (MRR), machined surface roughness (SR) of SC, kerf width (KW), wire wear (WW), and flatness (FT). An analysis of variance (ANOVA) is used to identify the mixed grains and slurry concentration that have a significant effect on multiple quality characteristics. The results of the ANOVA using the Grey-Taguchi method show that the optimum conditions are T2C1G1S2P1 (wire tension of 24 N, slurry concentration of 10% wt., mixed grains of #600 + #1000 mesh size, wire speed of 2.8 m/s, and working load of 1.27 N). The respective improvement in MRR, machined SR of SC, KW, WW, and FT is 2.43%, 2.36%, 1.08%, 2.33%, and 14.27%. The addition of #600 + #1000 mixed grains mesh size to the slurry improves the machined SR of SC, KW, and WW. An increase in wire speed and working load and the use of appropriate mixed grains mesh size and slurry concentration increases the MRR for wire-saw machining.

Optimization of the EDM Parameters on Machining Ti-6Al-4V Alloy with Multiple Quality Characteristics

2014 ◽  
Vol 619 ◽  
pp. 89-93 ◽  
Author(s):  
Prity Aniva Xess ◽  
Sandhyarani Biswas ◽  
Manoj Masanta
Keyword(s):  
Metal Removal ◽  
Removal Rate ◽  
Experimental Studies ◽  
High Strength ◽  
Quality Characteristics ◽  
Simultaneous Optimization ◽  
Process Performance ◽  
Hard Materials ◽  
Multiple Quality Characteristics ◽  
Electro Discharge Machining

Conventional machining methods are unable to meet the challenges postured by the demand for economic machining of ultra-hard and high strength materials. Electro discharge machining (EDM) is a promising technique with great potential for application to machining hard materials over conventional techniques. In recent years, researchers have explored a number of ways to improve the EDM process performance by studying the different factors that affect the quality characteristics. The theoretical and experimental studies showed that process performance can be improved significantly by proper selection of EDM parameters, material parameters and operating parameters. In this study, an attempt has been made for simultaneous optimization of the process performances like, metal removal rate, surface roughness and overcut based on Grey Taguchi methodology for machining of Ti-6A-4V Titanium alloy by EDM.

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