WITHDRAWN: Multi-response optimisation of micro-milling parameters through GRA, TOPSIS and Taguchi techniques to increase production rate while reducing energy consumption

Suneesh, E.

doi:10.1016/j.measurement.2019.04.090

Cited by 3 publications

(2 citation statements)

References 59 publications

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“…Previous research works suggested that decision support systems can actually be integrated with the Taguchi technique [34]. As said before, TOPSIS and GRA are the most common techniques to be integrated with Taguchi approach [46][47][48]71]. However, in the present study, the novel CRITIC -WASPAS technique was proposed to be applied to the data given in Table 7 and 9 for 𝑇𝑇 𝐴𝐴𝐴𝐴 ,𝐼𝐼 𝐴𝐴𝐴𝐴 , 𝑊𝑊𝐿𝐿 𝐷𝐷𝐷𝐷𝐷𝐷 , 𝑊𝑊𝐿𝐿 𝑊𝑊𝑊𝑊𝑊𝑊 responses.…”

Section: Critic -Waspas For Decision Makingmentioning

confidence: 93%

Multiple-response optimization of open graded friction course reinforced with fibers through CRITIC-WASPAS based on Taguchi methodology

Slebi-Acevedo

Silva-Rojas

Lastra-González

et al. 2020

Construction and Building Materials

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Section: Critic -Waspas For Decision Makingmentioning

confidence: 93%

Multiple-response optimization of open graded friction course reinforced with fibers through CRITIC-WASPAS based on Taguchi methodology

Slebi-Acevedo

Silva-Rojas

Lastra-González

et al. 2020

Construction and Building Materials

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“…Grey relational analysis (GRA) is a quantitative method to analyze the correlation degree of various factors in the grey system, which has been extensively applied in many engineering fields, such as electrical discharge machining [9][10][11], laser beam machining [12][13][14], precision milling and grinding [15,16], mechanism design [17,18]. GRA is widely adopted to judge the correlation between multi-factors and multi-objective [19,20].…”

Section: Introductionmentioning

confidence: 99%

Parameter optimization in hot precision forging process of synchronizer ring based on grey relational analysis and response surface method

Jia¹,

Peng²,

Cao³

et al. 2022

Mater. Res. Express

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In this work, the hot precision forging process was proposed to manufacture the synchronizer ring made of HMn64-8-5-1.5 alloy, and the forming process parameters were optimized. The true stress-strain data of HMn64-8-5-1.5 alloy were obtained through the isothermal compression test. Then, the finite element model of hot precision forging process of the synchronizer ring was built, and two schemes of the forming process were analyzed and compared. To solve the problems during the synchronizer ring hot precision forging process, i.e. forging defects, low material utilization and large forming load, a multi-objective optimization method based on grey relational analysis (GRA) and response surface method (RSM) was introduced to optimize the process parameters. As a result, a set of optimal process parameters was determined through the model calculating. Numerical simulation and experiment were carried out to verify the optimal scheme, which set up based on the obtained optimal process parameters. The results of experimental and numerical simulation have a good consistency. The results show that the optimal scheme can ensure the product quality, enhance the material utilization and reduce the forming load.

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Multi-Criteria Decision Making Methods for Selection of Lightweight Material for Railway Vehicles

et al. 2022

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This paper deals with the selection of the optimal material for railway wagons, from among three different steel and three aluminium based materials, by using four different Multicriteria Decision Making Methods (MCDM) and comparing their ranking of the materials. We analysed: Dual-Phase 600 steel, Transformation-Induced Plasticity (TRIP) 700 steel, Twinning-Induced Plasticity (TWIP) steel, Aluminium (Al) alloys, Al 6005-T6, and Al 6082-T6, and porous Al structure with closed cells. Four different MCDM methods were used: VIKOR, TOPSIS, PROMETTHEE and the Weighted aggregated sum product assessment method (WASPAS). Key material properties that were used in the MCDM analysis were: density, yield strength (Y.S.), tensile strength (T.S.), Y.S./T.S. ratio, Youngs modulus (Y.M.), cost and corrosion resistance (C.R.). Research results indicate that aluminium and its alloys prove to be the most suitable material, based on setup criteria. Advanced steels also achieved good ranking, making them a valid option, immediately behind lightweight aluminium alloys. Porous aluminium did not perform well, according to the used MDCM methods, mainly due to the significantly lower strength exhibited by the porous structures in general.

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WITHDRAWN: Multi-response optimisation of micro-milling parameters through GRA, TOPSIS and Taguchi techniques to increase production rate while reducing energy consumption

Cited by 3 publications

References 59 publications

Multiple-response optimization of open graded friction course reinforced with fibers through CRITIC-WASPAS based on Taguchi methodology

Multiple-response optimization of open graded friction course reinforced with fibers through CRITIC-WASPAS based on Taguchi methodology

Parameter optimization in hot precision forging process of synchronizer ring based on grey relational analysis and response surface method

Multi-Criteria Decision Making Methods for Selection of Lightweight Material for Railway Vehicles

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