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百叶轮抛光TC4的接触弧长试验研究

  • Northwestern Polytechnical University Xian

科研成果: 期刊稿件文章同行评审

4 引用 (Scopus)

摘要

To explore the relationship between contact arc length and process parameters, TC4 test block was polished with abrasive cloth wheel on CNC polishing machine tool and the contact arc length was calculated by the time length of polishing force. With the spindle speed, the compression depth, the feed speed and the size of abrasive cloth wheel as the process parameters, the fitting equation between the contact arc length and the process parameters was established, and the influence laws and influence degree of process parameters on contact arc length were analyzed. The optimization model was established and the optimal contact arc length and optimal process parameters were obtained. Besides, the influence of polishing force and temperature of polishing zone on the contact arc length was investigated. The results showed that the fitting degree of the fitting equation was very high; the correlations between the spindle speed, the compression depth and the contact arc length were positive; the contact arc length decreased first and then increased with the increase of the other two parameters; the spindle speed and compression depth had obvious effect on the contact arc length, and the feed speed and the size of abrasive cloth wheel had little effect on the contact arc length; the optimal contact arc length was 6.398 6 mm and the optimal process parameters were as follows: the spindle speed was 4 000 rotation per minute; the compression depth was 0.5 mm; the feed speed was 190.8 mm per minute and the size of abrasive cloth wheel was 220; the correlations between polishing force and temperature of polishing zone were positive.

投稿的翻译标题Experimental study on contact arc length of polishing TC4 with abrasive cloth wheel
源语言繁体中文
页(从-至)1218-1232
页数15
期刊Jisuanji Jicheng Zhizao Xitong/Computer Integrated Manufacturing Systems, CIMS
26
5
DOI
出版状态已出版 - 1 5月 2020

关键词

  • Contact arc length
  • Fitting equation
  • Influence degree
  • Influence rule
  • Optimization model
  • Polishing
  • Process parameters

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