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作 者:吕军 马骋 董建军 葛广言 杜正春[1] LV Jun;MA Cheng;DONG Jianjun;GE Guangyan;DU Zhengchun(School of Mechanical Engineering,Shanghai Jiao Tong University,Shanghai 200240,CHN;Dalian Company,Genertec Machine Tool Engineering Research Institute Co.,Ltd.,Dalian 116620,CHN;General Technology Group Dalian Machine Tool Co.,Ltd.,Dalian 116620,CHN)
机构地区:[1]上海交通大学机械与动力工程学院,上海200240 [2]通用技术集团机床工程研究院有限公司大连分公司,辽宁大连116620 [3]通用技术集团大连机床有限责任公司,辽宁大连116620
出 处:《制造技术与机床》2024年第4期132-139,共8页Manufacturing Technology & Machine Tool
基 金:通用技术集团科技重大专项(GTZD-2022-014);国家自然科学基金(52375504);高档五轴机床高速高精度直驱摆头研究与产业化创业团队项目(2021R02007);宁波市高档数控机床关键部件创新中心项目。
摘 要:精密卧式车床的关键部件会在内外热源的综合影响下发生热变形,进而严重影响加工精度。数据驱动的热误差建模方法为解决此问题提供了有效手段,而厘清车床的关键热误差元素及其传导机理可进一步提高车床热误差的建模效率、精度和鲁棒性。文章针对车床X轴丝杠摩擦热、主轴发热、Z轴鞍座发热以及液压刀塔和拖板发热4个关键热误差元素开展了溯源测试,并根据溯源结果建立了热误差模型并开发了热误差实时补偿系统。车削验证实验结果表明,补偿后车床的加工误差在反复的加工和冷机过程中均稳定降低了75%以上,文章所提的热误差溯源和补偿方法有效提高了车床的加工精度和稳定性。The main components of precision horizontal lathes are subject to thermal deformation arising from the combined influence of internal and external heat sources,which may significantly affect the machining accuracy.Data-driven thermal error modeling methods provide an effective means of addressing this issue,while clarifying the key thermal error elements and their conduction mechanisms can further enhance the modeling efficiency,accuracy and robustness of the lathe thermal error.This paper focuses on the source tracing test of four key thermal error elements of the lathe:X-axis screw frictional heat,spindle heat,Z-axis saddle heat,and heat of hydraulic turret and drag plate.Based on the tracing analysis results,a thermal error model was established,and a real-time compensation system was developed.The turning validation experiment results show that the machining error of the lathe after compensation was stably reduced by over 75%during repeated machining and cooling processes,which revealed that the proposed method effectively improved the machining accuracy and stability of the lathe.
分 类 号:TH166[机械工程—机械制造及自动化]
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