The Experts below are selected from a list of 30162 Experts worldwide ranked by ideXlab platform
Chung Ho Wang - One of the best experts on this subject based on the ideXlab platform.
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The optimization of multi‐response problems in the Taguchi Method
International Journal of Quality & Reliability Management, 1997Co-Authors: Lee-ing Tong, Chung Ho WangAbstract:The Taguchi Method is the conventional approach used in off‐line quality control. However, most previous Taguchi Method applications have dealt only with a single‐response problem. The multi‐response problem has received only limited attention. Proposes an effective procedure on the basis of the quality loss of each response so as to achieve the optimization on multi‐response problems in the Taguchi Method. The procedure is a universal approach which can simultaneously deal with continuous and discrete data. Evaluates a plasma‐enhanced chemical vapour deposition (PECVD) process experiment and a case study, indicating that the proposed procedure yields a satisfactory result.
Lee-ing Tong - One of the best experts on this subject based on the ideXlab platform.
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The optimization of multi‐response problems in the Taguchi Method
International Journal of Quality & Reliability Management, 1997Co-Authors: Lee-ing Tong, Chung Ho WangAbstract:The Taguchi Method is the conventional approach used in off‐line quality control. However, most previous Taguchi Method applications have dealt only with a single‐response problem. The multi‐response problem has received only limited attention. Proposes an effective procedure on the basis of the quality loss of each response so as to achieve the optimization on multi‐response problems in the Taguchi Method. The procedure is a universal approach which can simultaneously deal with continuous and discrete data. Evaluates a plasma‐enhanced chemical vapour deposition (PECVD) process experiment and a case study, indicating that the proposed procedure yields a satisfactory result.
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optimizing multi response problems in the Taguchi Method by fuzzy multiple attribute decision making
Quality and Reliability Engineering International, 1997Co-Authors: Lee-ing TongAbstract:One of the conventional approaches used in off-line quality control is the Taguchi Method. However, most previous Taguchi Method applications have only dealt with a single-response problem and the multi-response problem has received only limited attention. The theoretical analysis in this study reveals that Taguchi's quadratic loss function and the indifference curve in the TOPSIS (Technique for order preference by similarity to ideal solution) Method have similar features. The Taguchi Method deals with a one-dimensional problem and TOPSIS handles multi-dimensional problems. As a result, the relative closeness computed in TOPSIS can be used as a performance measurement index for optimizing multi-response problems in the Taguchi Method. Next, an effective procedure is proposed by applying fuzzy set theory to multiple attribute decision making (MADM). The procedure can reduce the uncertainty for determining a weight of each response and it is a universal approach which can simultaneously deal with continuous and discrete data. Finally, the effectiveness of the proposed procedure is verified with an example of analysing a plasma enhanced chemical vapour deposition (PECVD) process experiment. © 1997 by John Wiley & Sons, Ltd.
Yuli Lin - One of the best experts on this subject based on the ideXlab platform.
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performance analysis and optimum operation of a thermoelectric generator by Taguchi Method
Applied Energy, 2015Co-Authors: Wei Hsin Chen, Shih Rong Huang, Yuli LinAbstract:The thermoelectric generator (TEG) is a promising device to convert waste heat into electricity. This work numerically simulates the performance of a TEG system in which a TEG module and heat sinks are considered. The heat transfer rate of the heat sinks is approximated by an analytical Method. To maximize the efficiency of the system, the Taguchi Method is employed. Six factors, including the length and width of heat sink, the height and thickness of fins, hot side temperature, and external load resistance, along with five levels are taken into account. The orthogonal array employed in the Taguchi Method is able to significantly reduce the time for seeking the optimum operation. The analysis suggests that the hot side temperature is the most important factor in determining the output power and efficiency of the TEG system, whereas the heat sink width almost plays no role on them. The influences of the four geometric parameters on the heat transfer rate of heat sinks are also evaluated by the Taguchi Method. The results indicate that the heat sink length has the largest effect on the heat transfer rate. Two-stage optimization for the performance of the TEG system is developed. The first-stage optimum operation is obtained from the Taguchi approach, and the second-stage optimization is performed from the power-current curve. After undergoing the second-stage optimization, the output power of the system in the first stage can be further improved by around 6%.
José Grácio - One of the best experts on this subject based on the ideXlab platform.
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Time-Modulated CVD Process Optimized Using the Taguchi Method
Journal of Materials Engineering and Performance, 2006Co-Authors: Waqar Ahmed, E. Ahmed, C. Maryan, Mark J. Jackson, A.a. Ogwu, N. Ali, Victor Neto, José GrácioAbstract:The Taguchi Method is used herein to optimize the time-modulated chemical vapor deposition (TMCVD) process. TMCVD can be used to deposit smooth, nanocrystalline diamond (NCD) coatings onto a range of substrate materials. The implementation of the Taguchi Method to optimize the TMCVD process can save time, effort, and money. The Taguchi Method significantly reduces the number of experiments required to optimize a fabrication process. In this study, the effect of five TMCVD process parameters is investigated with respect to five key factors of the as-grown samples. Each parameter was varied at four different values (experimental levels). The five key factors, taking into consideration the experimental levels, were optimized after performing only 16 experiments. The as-grown films were characterized for hardness, quality, surface roughness, and microstructure using scanning electron microscopy, Raman spectroscopy, surface profilometry, and Vickers hardness testing.
Lennie E. N. Lim - One of the best experts on this subject based on the ideXlab platform.
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Optimal design of neural networks using the Taguchi Method
Neurocomputing, 1995Co-Authors: John F. C. Khaw, B. S. Lim, Lennie E. N. LimAbstract:Abstract In the last five years, many new learning algorithms have been designed and developed to train neural networks for solving complex problems in a wide variety of domains. One of the principal deficiencies with current neural network research is associated with the design of the neural networks. The design of a neural network involves the selection of an optimal set of design parameters to achieve fast convergence speed during training and the required accuracy during recall. These design parameters include both the micro-structural and macro-structural aspects of a neural network. This paper describes an innovative application of the Taguchi Method for the determination of these parameters to meet the training speed and accuracy requirements. Using the Taguchi Method, both the micro-structural and macro-structural aspects of the neural network design parameters can be considered concurrently. The feasibility of using this approach is demonstrated in this paper by optimizing the design parameters of a back-propagation neural network for determining operational policies for a manufacturing system. Results drawn from this research show that the Taguchi Method provides an effective means to enhance the performance of the neural network in terms of the speed for learning and the accuracy for recall.
