中国机械工程

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基于IEGF-AHP算法的机床精度评价

要小鹏1;黄华川1;殷国富2;李光明1   

  1. 1.西南科技大学,绵阳,621010
    2.四川大学,成都,610065
  • 出版日期:2016-12-10 发布日期:2016-12-15
  • 基金资助:
    国家自然科学基金资助项目(11176027);科技部重大仪器设备专项基金资助项目(2012YQ130226);四川省科学研究计划资助项目(2015ZR0018);四川省教育厅资助项目(16ZA0135,07zd1004);西南科技大学博士基金资助项目(14zx7163)

Accuracy Evaluation of CNC Machines Based on IEGF-AHP Algorithm

Yao Xiaopeng1;Huang Huachuan1;Yin Guofu2;Li Guangming1    

  1. 1. Southwest University of Science and Technology,Mianyang,Sichuan,621010
    2. Sichuan University,Chengdu,610065
  • Online:2016-12-10 Published:2016-12-15
  • Supported by:

摘要: 针对数控机床精度评价过程中定性指标不清晰、量化指标不准确等缺点,提出了一种基于区间可拓灰色模糊算法的机床精度评价方法。该方法通过建立机床各评价指标的可拓判断矩阵,求取相应的权重系数,利用灰色模糊综合评价法进行逐次分析,获得综合评价值。以VXC-960型机床为例,对不同时间段的机床精度进行反复检测与评价,以获取机床精度的演化规律与主要影响因素,提出相应的应对措施。实验结果证明了该方法的有效性和可行性。

关键词: 数控机床, 区间可拓, 灰色模糊分析法, 精度综合评价

Abstract: According to the disadvantages of indexes were fuzzy and inaccurate during CNC machine evaluation, a new evaluation method of CNC accuracy was put forward by interval extension grey fuzzy analytic algorithm. This method built interval judgment extension matrix and calculated the corresponding weight coefficients. The comprehensive evaluation values were required by grey fuzzy evaluation method. Though detecting and evaluations repeatedly at different periods on VXC-960 type machine, evolution laws of machine tool's accuracy and main factors of affecting current accuracy were acquired, and the corresponding countermeasures were put forward. Experimental results show that the evaluation method has high effectiveness and feasibility.

Key words: CNC machine, interval extension, grey fuzzy analytic method, accuracy comprehensive evaluation

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