Selection of limited and constrained compensation tables for five-axis machine tools

被引:5
作者
Creamer, J. [1 ]
Bristow, D. A. [2 ]
Landers, R. G. [2 ]
机构
[1] Boeing Res & Technol, St Louis, MO USA
[2] Missouri Univ Sci & Technol, Dept Mech & Aerosp Engn, 400 W 13th St, Rolla, MO 65409 USA
基金
美国国家科学基金会;
关键词
Volumetric error; Geometric error compensation; Five-axis machine tools;
D O I
10.1007/s00170-017-0230-4
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
Machine tool geometric inaccuracies are frequently corrected through the use of compensation tables available in machine tool controllers. Each compensation table contains a set of values that determine the incremental change in the commanded position of an axis given the current positions of the axes. While a five-axis machine tool, for example, can have at most 25 compensation tables, most machine tool controllers limit the number of compensation tables that can be implemented and provide constraints on the combinations of compensation tables that can be utilized. This work presents an artificial intelligence-based methodology to select and populate the optimal set of machine tool compensation tables when these limitations and constraints exist. Using data from an industrial five-axis machine tool to construct a kinematic error model, simulation results for the proposed methodology and a heuristic based on the impact of individual compensation tables when selecting six compensation tables are compared, and the proposed methodology is found to outperform the heuristic. The proposed methodology and a solution based on a full set of compensation tables are experimentally implemented on the machine tool and the mean volumetric error resulting from the proposed methodology is found to be only 25 mu m less than the volumetric error resulting from the full set of tables. The proposed methodology is then implemented in two more simulation studies where constraints are imposed on which combination of compensation tables could be used and which type of compensation tables could not be utilized. The resulting mean volumetric error was 7.0 and 28.3 mu m greater, respectively, than the unconstrained solution.
引用
收藏
页码:1315 / 1327
页数:13
相关论文
共 15 条
[1]  
[Anonymous], 2008, ENCY ALGORITHMS
[2]   An analytical approach for crucial geometric errors identification of multi-axis machine tool based on global sensitivity analysis [J].
Cheng, Qiang ;
Zhao, Hongwei ;
Zhang, Guojun ;
Gu, Peihua ;
Cai, Ligang .
INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY, 2014, 75 (1-4) :107-121
[3]   Table-Based Volumetric Error Compensation of Large Five-Axis Machine Tools [J].
Creamer, Jennifer ;
Sammons, Patrick M. ;
Bristow, Douglas A. ;
Landers, Robert G. ;
Freeman, Philip L. ;
Easley, Samuel J. .
JOURNAL OF MANUFACTURING SCIENCE AND ENGINEERING-TRANSACTIONS OF THE ASME, 2017, 139 (02)
[4]  
Freeman P., 2006, AEROSPACE MANUFACTUR
[5]  
Goldberg DE., 1989, GENETIC ALGORITHMS S, V1
[6]  
Ibaraki S., 2012, International Journal of Automation Technology, V6, P110, DOI [DOI 10.3929/ETHZ-A-007593181, 10.20965/ijat.2012.p0110, DOI 10.20965/IJAT.2012.P0110]
[7]  
ISO, 2012, 23012012 ISO
[8]   A methodology for systematic geometric error compensation in five-axis machine tools [J].
Khan, Abdul Wahid ;
Chen, Wuyi .
INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY, 2011, 53 (5-8) :615-628
[9]   Modelling of five-axis machine tool metrology models using the matrix summation approach [J].
Lin, Y ;
Shen, Y .
INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY, 2003, 21 (04) :243-248
[10]  
Mooring B, 1991, Fundamentals of manipulator calibration