中国机械工程

• 先进材料加工工程 • 上一篇    下一篇

面向多因素多目标的模具光整加工工艺

计时鸣;韦伟;金明生;张利;黄希欢;潘烨   

  1. 浙江工业大学特种装备制造与先进加工技术教育部/浙江省重点试验室,杭州,310032
  • 出版日期:2016-10-25 发布日期:2016-10-21
  • 基金资助:
    国家自然科学基金资助项目(51175471,51205358,51575493)

Mold Finishing for Multi-factor and Multi-objective

Ji Shiming;Wei Wei;Jin Mingsheng;Zhang Li;Huang Xihuan;Pan Ye   

  1. Key Laboratory of Special Purpose Equipment and Advanced Processing Technology,Ministry of Education & Zhejiang Province,Zhejiang University of Technology,Hangzhou,310032
  • Online:2016-10-25 Published:2016-10-21
  • Supported by:

摘要: 基于灰度关联分析法、TOPSIS分析法及层次分析法,提出一种针对模具光整加工工艺研究的多因素多目标分析方法。该方法采用灰度关联法来分析多加工参数之间的关联度,利用TOPSIS分析多加工质量评价标准间的关联度,通过层次法获得合理的主客观结合的权重矩阵,并可通过方差分析(ANOVA)获得各加工参数对每个标准的影响程度及相关预测模型。将该方法应用于激光强化模具表面光整加工的工艺研究中,研究结果验证了该方法的实用性和有效性。

关键词: 加工参数, 加工质量, 光整加工, 加工工艺

Abstract: Based on gray correlation analysis, technique for order preference by similarity to ideal solution(TOPSIS) analysis and analytic hierarchy process,  a multiple objectives and multiple contributing factors analysis method was put forward, which was proposed for the whole processes of the mold finishing. Gray correlation method was used to analyze the correlation degrees among multiple parameters, and TOPSIS was used to analyze the correlations among the multi-processing quality evaluation standards. Through the hierarchical method,  a reasonable weight matrix was obtained, which combined the objectivity and subjectivity. The influence degree of each processing parameter on each standard and the correlation forecast model might be obtained via ANOVA analysis. Besides, this method was applied to the surface finishing of laser hardened mold, and the results manifests the method is practical and effective.

Key words: machining parameter, machining quality, finishing, processing technology

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