Study on Machine Tool Positioning Uncertainty Due to Volumetric Verification

被引:7
作者
Aguado, Sergio [1 ]
Perez, Pablo [2 ]
Antonio Albajez, Jose [2 ]
Santolaria, Jorge [2 ]
Velazquez, Jesus [2 ]
机构
[1] Acad Gen Militar, Ctr Univ Def, Ctra Huesca S-N, Zaragoza 50090, Spain
[2] Univ Zaragoza, Design & Mfg Engn Dept, Zaragoza 50018, Spain
关键词
Monte Carlo method; machine tool uncertainty; calibration; measurement in process; traceability; ERROR COMPENSATION; CALIBRATION;
D O I
10.3390/s19132847
中图分类号
O65 [分析化学];
学科分类号
070302 ; 081704 ;
摘要
Volumetric verification is based on the machine tool (MT) kinematic model, along with its geometric errors. Although users often ignore the uncertainty of verification, the use of the MT as a traceable measurement system in the manufacturing process has increased the need for professionals to be aware of it. This paper presents an improvement in the MT kinematic model, introducing in it the influence of verification uncertainty sources. These sources have been classified into four groups: the MT, the measurement system itself, the measurement strategy, and the optimization strategy. As the developed model exhibits non-linear behavior, the Monte Carlo method was used to determine the influence of the measurement system on verification uncertainty using synthetic tests. In this manner, an improved estimation of the MT uncertainty can be obtained. Therefore, if the MT is used as a traceable measurement system, its accuracy should not be higher than the laser tracker (LT) verification influence. It hence shows the importance of LT influence.
引用
收藏
页数:17
相关论文
共 25 条
[1]   Empirical analysis of the efficient use of geometric error identification in a machine tool by tracking measurement techniques [J].
Aguado, S. ;
Santolaria, J. ;
Samper, D. ;
Velazquez, J. ;
Aguilar, J. J. .
MEASUREMENT SCIENCE AND TECHNOLOGY, 2016, 27 (03)
[2]   Protocol for machine tool volumetric verification using commercial laser tracker [J].
Aguado, Sergio ;
Santolaria, Jorge ;
Samper, David ;
Jose Aguilar, Juan .
INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY, 2014, 75 (1-4) :425-444
[3]   An analysis of the volumetric error uncertainty of a three-axis machine tool by beta distribution [J].
Ahn, KG ;
Cho, DW .
INTERNATIONAL JOURNAL OF MACHINE TOOLS & MANUFACTURE, 2000, 40 (15) :2235-2248
[4]   Adaptive Monte Carlo applied to uncertainty estimation in five axis machine tool link errors identification with thermal disturbance [J].
Andolfatto, L. ;
Mayer, J. R. R. ;
Lavernhe, S. .
INTERNATIONAL JOURNAL OF MACHINE TOOLS & MANUFACTURE, 2011, 51 (7-8) :618-627
[5]  
[Anonymous], 1995, ISO/IEC GUIDE 98-3
[6]  
[Anonymous], 2016, 10360102016 ISO
[7]  
[Anonymous], 2005, 23092005 ISOTR
[8]  
[Anonymous], MANUFACTURING TECHNO
[9]   Adaptive learning control for thermal error compensation of 5-axis machine tools [J].
Blaser, Philip ;
Pavlicek, Florentina ;
Mori, Kotaro ;
Mayr, Josef ;
Weikert, Sascha ;
Wegener, Konrad .
JOURNAL OF MANUFACTURING SYSTEMS, 2017, 44 :302-309
[10]   Machine tool calibration: Geometric test uncertainty depends on machine tool performance [J].
Bringmann, B. ;
Knapp, W. .
PRECISION ENGINEERING-JOURNAL OF THE INTERNATIONAL SOCIETIES FOR PRECISION ENGINEERING AND NANOTECHNOLOGY, 2009, 33 (04) :524-529