Application of SAW Technique for Finding the Best Dressing Mode for Surface Grinding Hardox 500

Dinh Van Thanh, Vu Duc Binh, Vu Duong, Lưu Anh Tùng, Tran Quoc Hung
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Abstract

This paper presents the findings from the multi-criteria decision-making (MCDM) approach study on selecting the best dressing mode (DM) for surface grinding (SG) Hardox 500. The study employed the Simple Additive Weighting (SAW) approach to solve the MCDM problem, and the Entropy method was utilized to estimate the weights of the criteria. Moreover, material removal rate (MRR) and surface roughness (RS) were selected as the two criteria for the investigation. Additionally, the five dressing parameters - fine dressing depth (Tf), rough dressing depth (Tr), rough dressing times (Nr), and non-feeding dressing (Nnon) - were investigated. 16 L16 (44x21) experimental runs were also designed and executed. For the first time, the MCDM for the SG process of Hardox 500 has been successfully solved using the SAW approach. From the results of the work, alternative No. 5 is the best option and the ideal input parameters (IP) of the dressing process were proposed.
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应用声表面波技术寻找表面磨削 Hardox 500 的最佳修整模式
本文介绍了为表面磨削 (SG) Hardox 500 选择最佳修整模式 (DM) 的多标准决策 (MCDM) 方法研究结果。该研究采用简单加权法(SAW)来解决 MCDM 问题,并利用熵法来估算标准的权重。此外,研究还选择了材料去除率(MRR)和表面粗糙度(RS)作为两个标准。此外,还研究了五个修整参数--精修深度 (Tf)、粗修深度 (Tr)、粗修次数 (Nr) 和不进料修整 (Nnon)。还设计并执行了 16 L16(44x21)实验运行。首次使用 SAW 方法成功解决了 Hardox 500 SG 过程的 MCDM 问题。从工作结果来看,备选方案 5 是最佳方案,并提出了选矿工艺的理想输入参数 (IP)。
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来源期刊
International Journal of Mechanics
International Journal of Mechanics Engineering-Computational Mechanics
CiteScore
1.60
自引率
0.00%
发文量
17
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