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作 者:罗瑛 彭骥 王玲[2] 殷国富[2] LUO Ying;PENG Ji;WANG Ling;YIN Guofu(School of Continuing Education,Chengdu Technological University,Chengdu 611730,China;School of Mechanical Engineering,Sichuan University,Chengdu 610065,China)
机构地区:[1]成都工业学院继续教育学院,成都611730 [2]四川大学机械工程学院,成都610065
出 处:《组合机床与自动化加工技术》2023年第9期124-128,共5页Modular Machine Tool & Automatic Manufacturing Technique
基 金:四川省重大科技专项项目(2019ZDZX0021)。
摘 要:环境温度变化引起的机床热误差建模是揭示热误差演化规律并进行热误差补偿的基础。以普通车间中一台精密五轴卧式加工中心为研究对象,分析了车间环境温度波动的特性,揭示了环境温度变化引起的机床热误差的形成过程。从工程实际出发,设计了含3个环境温度测点和多个机床温度测点的热误差实验。建立了考虑变量间共线性的岭回归热误差模型,并通过坐标下降法求解了模型参数。结果表明,提出的模型比传统单点和多点线性回归热误差模型的预测性能分别平均提高了约33%和22%,为后期热误差补偿提供了一种有效的参考模型。The modeling of machine tool thermal error caused by environmental temperature variation is the basis of revealing the evolution law of thermal error and compensating for it.Taking a precision five-axis horizontal machining center in a common workshop as the research object,the characteristics of environmental temperature fluctuation in the workshop were analyzed,and the forming process of thermal error caused by environmental temperature variation was deduced.From the perspective of engineering practice,the experiments of machine tool thermal error with three environmental temperature measuring points were designed.A ridge regression thermal error model considering collinearity between variables was established,and the model parameters were solved by coordinate descent method.The results show that the prediction performance of the proposed model approximately improved by 33%and 22%,respectively,compared with the traditional single point and multi-point linear regression thermal error models.This study provides an effective reference model for later thermal error compensation.
分 类 号:TH161[机械工程—机械制造及自动化] TG65[金属学及工艺—金属切削加工及机床]
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