A study of response surface methodology in the optimum parameter for stainless steel machining

碩士 === 龍華科技大學 === 工程技術研究所 === 101 === Flank wear is commonly thought to result from abrasive wear of the cutting edge against the machined surface and has been used to specify the tool life. Surface roughness and roundness are widely used as technical requirements and product quality indexes for tur...

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Main Authors: Lee, Yu-Hui, 李玉輝
Other Authors: Hsu, Chun-Yao
Format: Others
Language:zh-TW
Published: 2013
Online Access:http://ndltd.ncl.edu.tw/handle/88100630487824933464
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spelling ndltd-TW-101LHU004890302015-10-13T22:23:53Z http://ndltd.ncl.edu.tw/handle/88100630487824933464 A study of response surface methodology in the optimum parameter for stainless steel machining 以反應曲面法進行切削不銹鋼最佳化參數之探討 Lee, Yu-Hui 李玉輝 碩士 龍華科技大學 工程技術研究所 101 Flank wear is commonly thought to result from abrasive wear of the cutting edge against the machined surface and has been used to specify the tool life. Surface roughness and roundness are widely used as technical requirements and product quality indexes for turning products. Most of all, flank wear of the cutting tool governs the stability, reliability of cutting and tool life. It has long been recognized machining parameters including cutting tools for different materials, cutting speed, feed rate, and cut depth should be selected to yield the desired product quality. In this study, dry turning of AISI 420 stainless steel tests was carried out. Response surface methodology (RSM) is an effective statistical technique for optimizing complex processes owing to it allows more efficient and easier arrangement and interpretation of experiments compared to other methods. In addition, chromium tungsten nitride (CrWN) thin films were deposited onto cutting tools for dry machining. In the confirmation runs, when using optimal process parameters, improvement of 15.7% was obtained in surface roughness, 3.3% in roundness and 17.4% in flank wear, respectively. Hsu, Chun-Yao 許春耀 2013 學位論文 ; thesis 54 zh-TW
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language zh-TW
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description 碩士 === 龍華科技大學 === 工程技術研究所 === 101 === Flank wear is commonly thought to result from abrasive wear of the cutting edge against the machined surface and has been used to specify the tool life. Surface roughness and roundness are widely used as technical requirements and product quality indexes for turning products. Most of all, flank wear of the cutting tool governs the stability, reliability of cutting and tool life. It has long been recognized machining parameters including cutting tools for different materials, cutting speed, feed rate, and cut depth should be selected to yield the desired product quality. In this study, dry turning of AISI 420 stainless steel tests was carried out. Response surface methodology (RSM) is an effective statistical technique for optimizing complex processes owing to it allows more efficient and easier arrangement and interpretation of experiments compared to other methods. In addition, chromium tungsten nitride (CrWN) thin films were deposited onto cutting tools for dry machining. In the confirmation runs, when using optimal process parameters, improvement of 15.7% was obtained in surface roughness, 3.3% in roundness and 17.4% in flank wear, respectively.
author2 Hsu, Chun-Yao
author_facet Hsu, Chun-Yao
Lee, Yu-Hui
李玉輝
author Lee, Yu-Hui
李玉輝
spellingShingle Lee, Yu-Hui
李玉輝
A study of response surface methodology in the optimum parameter for stainless steel machining
author_sort Lee, Yu-Hui
title A study of response surface methodology in the optimum parameter for stainless steel machining
title_short A study of response surface methodology in the optimum parameter for stainless steel machining
title_full A study of response surface methodology in the optimum parameter for stainless steel machining
title_fullStr A study of response surface methodology in the optimum parameter for stainless steel machining
title_full_unstemmed A study of response surface methodology in the optimum parameter for stainless steel machining
title_sort study of response surface methodology in the optimum parameter for stainless steel machining
publishDate 2013
url http://ndltd.ncl.edu.tw/handle/88100630487824933464
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