首页|期刊导航|模具技术|基于五轴加工的人形机器人关节基座加工的研究与实践

基于五轴加工的人形机器人关节基座加工的研究与实践OA

Research and practice on the machining of humanoid robot joint bases based on five-axis machining

中文摘要英文摘要

人形机器人行业快速发展的行业背景下关键零部件生产工艺亟须提高.聚焦人形机器人腰部关节基座加工过程中面临的加工基座孔位多、精度要求高、加工件壁薄等关键技术难题,提出了一种五轴组合加工解决方案.该方案系统性地涵盖了机床的选型、工艺设计、刀具配置、参数选择、在机测量等多个关键环节,在不影响加工精度的前提下减少了装夹次数、开粗时间、精加工加工余量,并开展单件及小批量加工验证.实践应用与验证结果表明:该方案满足图纸加工要求,良品率超过 96%,且加工时长平均缩短 26%.本案例的成功实施,不仅为人形机器人腰部关节基座的加工提供了一套高效可行的解决方案,更为相关领域的技术创新与工艺优化提供了新的思路与参考.

Against the backdrop of the rapid development of the humanoid robot industry,there is an urgent need to improve the production processes of key components.This study focuses on the core technical challenges encountered in the machining of the waist joint base of humanoid robots,such as the large number of base holes,high precision requirements,and thin walls of the workpiece.A five-axis combined machining solution is proposed,which systematically covers multiple key links including machine tool selection,process design,tool configuration,parameter selection,and on-machine measurement.Additionally,machining verification for single-piece and small-batch production was conducted.Through practical application and rigorous verification,the proposed solution meets the machining requirements specified in the drawings,with a yield rate exceeding 96%and an average reduction of 26%in the machining time.The successful implementation of this case not only provides an efficient and feasible solution for the machining of the waist joint base of humanoid robots but also offers new ideas and references for technological innovation and process optimization in related fields.

王道成;赵红妮;王帅;高冬冬;王建军

陕西工业职业技术大学,陕西 咸阳 712000||复合型移动机器人陕西省高校工程研究中心,陕西 咸阳 712000陕西工业职业技术大学,陕西 咸阳 712000西安精雕软件科技有限公司,陕西 西安 710000西安精雕软件科技有限公司,陕西 西安 710000陕西工业职业技术大学,陕西 咸阳 712000||咸阳市高端数控机床关键零部件工程技术研究中心,陕西 咸阳 712000

机械制造

机器人基座五轴联动虚拟加工在机测量

robotbasefive-axis simultaneous machiningvirtual machiningon-machine measurement

《模具技术》 2026 (1)

27-34,8

陕西省教育厅科学研究计划项目(编号:24JK0316)陕西工业职业技术大学2025年校级专项科研项目(编号:2025YKZX-003).

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