VALÁŠEK, A., J. SMOLÍK, and P. KOLÁŘ. Estimation of Machine Tool Accuracy Based on Monte Carlo Simulation Using Movement Axes Geometric Errors Model. MM Science Journal. 2023, 6945-6950. ISSN 1803-1269. DOI 10.17973/MMSJ.2023_11_2023115.
Accuracy is one of the most important feature of a machine tool. Being able to estimate the overall accuracy of a machine tool represented by the total volumetric error can be a huge advantage in the design process. This paper provides overview of methods used for geometric error transfer modeling and volumetric error modeling. An error transfer rigid body model is derived and after that, a random linear guideway straightness error profile generator is proposed. This allows to simulate a movement axis with random straightness errors of rails and computed geometric errors of an assembled axis. Volumetric error of a 3-axis machine tool is then modeled using its kinematic scheme and homogenous transformation matrices with 21 kinematic errors. Using simulated axes as input to the volumetric model, an entire machine tool can be simulated. From that, the total volumetric error can be obtained and a Monte Carlo simulation carried out. This allows to analyze statistics of the total volumetric error and with slight input changes (rail straightness tolerance), a sensitivity analysis can be performed to determine the most influential errors in the machine tool.
eng
dc.format.mimetype
application/pdf
dc.language.iso
eng
dc.publisher
MM Science Journal
dc.relation.ispartof
MM Science Journal
dc.subject
Volumetric accuracy
eng
dc.subject
Monte Carlo simulation
eng
dc.subject
Error budget
eng
dc.title
Estimation of Machine Tool Accuracy Based on Monte Carlo Simulation Using Movement Axes Geometric Errors Model