Application of Taguchi method in optimizing the microstructure of 316LN austenitic stainless steel

Zhang, M. X.; Yang, Bin; Wang, S. L.; Chen, Y. F.

doi:10.1002/mawe.201600537

Cited by 2 publications

(1 citation statement)

References 15 publications

(13 reference statements)

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“…The Taguchi method is a pragmatic solution for enhancing the product performance, design, or process while keeping a close eye on cost and time [22,23]. This technique has been used to successfully optimize a variety of processes in numerous researches [24][25][26][27][28][29][30][31][32][33][34][35][36][37][38][39][40]. With the help of the Taguchi's orthogonal array (OA) concept, which provides somewhat reduced variations or inconsistency for such experimentations including an optimized variety of design factors which influence the process.…”

Section: Taguchi Techniquementioning

confidence: 99%

Optimization of material removal rate and surface roughness during electric discharge machining of ultra‐fine grained Al6082 using Taguchi technique

Sarapure¹

2023

Materialwissenschaft Werkst

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In the current work, the statistical analysis of various electric discharge machining parameters on Al6082 ultra‐fine grained aluminium alloy using Taguchi method has been presented. Repetitive corrugation and straightening (RCS) method was employed to obtain ultra‐fine grained aluminium alloy. The electric discharge machining studies were carried out for test variables – pulse off time, pulse on time and current (I). The specimens were machined in dielectric medium with current range of 3 A to 9 A in step of 3 A. Machining features of the samples analysed statistically by adopting the Taguchi's ‐ design of experiments (DOE) methodology. Impact of parameters on material removal rate (MRR) and surface roughness (SR) were examined via signal‐to‐noise ratio (S/N ratio, expressed in decibel, dB) as well as analysis‐of‐variance (ANOVA). Outcomes disclose that every selected response explicitly surface roughness (SR) and material removal rate was significantly influenced by parameters. The material removal rate was found to rise with discharge current and decrease with the duration of pulse on time and the duration of pulse off time. On the other hand, the surface roughness increased with increase in peak current and decreased with pulse on time and pulse off time especially. The machining mechanisms were examined by scanning electron microscopy.

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Section: Taguchi Techniquementioning

confidence: 99%

Optimization of material removal rate and surface roughness during electric discharge machining of ultra‐fine grained Al6082 using Taguchi technique

Sarapure¹

2023

Materialwissenschaft Werkst

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Taguchi optimization of bismuth-telluride based thermoelectric cooler

Kishore

Kumar

Sanghadasa

et al. 2017

Journal of Applied Physics

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In the last few decades, considerable effort has been made to enhance the figure-of-merit (ZT) of thermoelectric (TE) materials. However, the performance of commercial TE devices still remains low due to the fact that the module figure-of-merit not only depends on the material ZT, but also on the operating conditions and configuration of TE modules. This study takes into account comprehensive set of parameters to conduct the numerical performance analysis of the thermoelectric cooler (TEC) using a Taguchi optimization method. The Taguchi method is a statistical tool that predicts the optimal performance with a far less number of experimental runs than the conventional experimental techniques. Taguchi results are also compared with the optimized parameters obtained by a full factorial optimization method, which reveals that the Taguchi method provides optimum or near-optimum TEC configuration using only 25 experiments against 3125 experiments needed by the conventional optimization method. This study also shows that the environmental factors such as ambient temperature and cooling coefficient do not significantly affect the optimum geometry and optimum operating temperature of TECs. The optimum TEC configuration for simultaneous optimization of cooling capacity and coefficient of performance is also provided.

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Application of Taguchi method in optimizing the microstructure of 316LN austenitic stainless steel

Cited by 2 publications

References 15 publications

Optimization of material removal rate and surface roughness during electric discharge machining of ultra‐fine grained Al6082 using Taguchi technique

Optimization of material removal rate and surface roughness during electric discharge machining of ultra‐fine grained Al6082 using Taguchi technique

Taguchi optimization of bismuth-telluride based thermoelectric cooler

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