CIRP Annals ( IF 4.1 ) Pub Date : 2021-06-11 , DOI: 10.1016/j.cirp.2021.04.025 F. Egaña , J.A. Yagüe-Fabra , U. Mutilba , S. Vez
Thermal effects on an uncontrolled manufacturing environment are the main barrier for accurate large machine tools. Internal and external heat sources combined with different expansion coefficients result in a constant thermal drift of the machine's structural loop. Thus, a characterisation method remains a challenge. This work presents a new methodology for the uncertainty assessment of a Machine Tool Integrated Inverse Multilateration approach where the ambient temperature variation is demonstrated to be a major uncertainty contributor. An “a priori” Monte-Carlo simulation-based research allows developing an appropriate measurement strategy for the use of the proposed approach minimising the influence of thermal issues.
中文翻译:
大型机床体积表征和环境热误差研究的机床集成逆多边不确定性评估
对不受控制的制造环境的热效应是精确大型机床的主要障碍。内部和外部热源结合不同的膨胀系数导致机器结构回路的恒定热漂移。因此,表征方法仍然是一个挑战。这项工作提出了一种新的方法,用于机床集成逆多点测量方法的不确定性评估,其中证明环境温度变化是主要的不确定性因素。基于“先验”蒙特卡罗模拟的研究允许开发适当的测量策略,以使用所提出的方法最大限度地减少热问题的影响。