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复合式镗铣加工中心综合空间误差模型的建立 被引量:1

Establishing Volumetric Error Model of Boring and Milling Machine Center
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摘要 以建立数控机床空间误差模型为目标,其意义在于提高该机床的加工精度,满足加工特殊零件的精度设计要求。该复合式镗铣加工中心主要用于加工坦克及装甲车发动机等复杂箱体类零件,采用立式机床与卧式机床相结合的新型结构。基于多体系统,通过研究数控机床的拓扑结构与低序体阵列,建立特征矩阵,并结合其结构的复杂性进行综合分析与推导。建立一个能够全面包含数控机床空间位置误差与空间姿态误差的综合空间误差模型。以此研究成果为基础,结合适当补偿方法,可以大幅提高机床的加工精度。 This paper aims at establishing CNC' s spatial error model. The meaning is to improve the machining accu- racy to meet the special parts machining precision machine design requirements. The composite milling centers mainly used for processing the complex box-type parts of tanks and armored vehicles engines, by using the new structure of vertical and horizontal machine tools combined. Based on multi-body systems, research by the topology of CNC machine tools and low- order array, create a feature matrix, and combined with the complexity of the structure of a comprehensive analysis and derivation. To establish a comprehensive integrated spatial error model contains spatial position error of CNC machine tools and space attitude error. Based on this research, with a combination of appropriate compensation method, the machining accuracy can significantly be improved.
作者 舒启林 王彬
机构地区 沈阳理工大学
出处 《工具技术》 北大核心 2015年第5期94-97,共4页 Tool Engineering
基金 国家863计划资助项目(SS2012AA041303)
关键词 复合式镗铣加工中心 多体系统 低序体阵列 特征矩阵 空间误差 composite boring and milling machine center multi-body system low-order body array characteristic ma-trix spatial error
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  • 1沈兴全,张清.三坐标数控机床精度检测与误差补偿[J].测试技术学报,2005,19(3):264-268. 被引量:26
  • 2Deng Z L. Inertial technology. Harbin: Harbin Institute of Technology Press, 2006: 47-49.
  • 3Ma J. Research on self-calibration and alignment technology for high accuracy inertial platform. National University of Defense Technology, 2005: 1-5.
  • 4Anderson B D O. Identification of scalar errors-in-variables models with dynamics. Au$omatica, 1985, 21: 709-716.
  • 5Anderson B D O, Deistler M. Identifiability in dynamic errors-in-variables models. Journal of Time Series Analysis, 1984, 5: 1-13.
  • 6Scherrer W, Deistler M. A structure theory for linear dynamic errors-in-variables models. SIAM Journal of Control and optimization, 1998, 36: 2148-2175.
  • 7Mahata K, Garnier H. Direct identification of continuoustime errors-in-variables models. The 14^th IFAC world congress. Prague: Czech Republic, 2005: 125-136.
  • 8Markovsky I, Kukush A, Van Huffel S. On errors-invariables with unknown noise variance ratio. The IFAC Symposium on System Identification, Newcastle, Australia, 2006.
  • 9Sctlerrer W, Deistler M. A structure theory for linear dynamic errors-in-vaxiables models. SIAM Journal on Control and Optimization, 1998, 36: 2148-2175.
  • 10Guidorzi R, Diversi R, Soverini U. Optimal errors-invariables filtering. Automatica, 2003, 39: 281-289.

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