中国机械工程 ›› 2025, Vol. 36 ›› Issue (06): 1222-1237.DOI: 10.3969/j.issn.1004-132X.2025.06.010

• 智能制造 • 上一篇    下一篇

轮毂毛刺机器人打磨刀路规划与工具姿态优化

郭万金1,2,3,4*;孙浩1;利乾辉1;田玉祥1;曹雏清2;赵立军2,4   

  1. 1.长安大学道路施工技术与装备教育部重点实验室,西安,710064
    2.长三角哈特机器人产业技术研究院,芜湖,241007
    3.埃夫特智能机器人股份有限公司,芜湖,241060
    4.哈尔滨工业大学机电工程学院,哈尔滨,150006

  • 出版日期:2025-06-25 发布日期:2025-08-04
  • 作者简介:郭万金*(通信作者),男,1983年生,副教授、博士研究生导师。研究方向为工业机器人打磨与智能控制。E-mail:guowanjin@chd.edu.cn。
  • 基金资助:
    国家自然科学基金(52275005);陕西省自然科学基础研究计划(2025JC-QYXQ-027,2025-YBMS-619);中央高校基本科研业务费专项资金(300102253201);中国博士后科学基金(2024M760002);安徽省博士后科研项目(2023B675);芜湖市重点研发与成果转化项目(2023yf044)

Tool Path Planning and Tool Orientation Optimization for Robotic Grinding of Wheel Hub Burrs

GUO Wanjin1,2,3,4*;SUN Hao1;LI Qianhui1;TIAN Yuxiang1;CAO Chuqing2;ZHAO Lijun2,4   

  1. 1.Key Laboratory of Road Construction Technology and Equipment, Ministry of Education,
    Changan University,Xian, 710064
    2.Yangtze River Delta HIT Robot Technology Research Institute,Wuhu,Anhui,241007
    3.EFORT Intelligent Robot,Co.,Ltd.,Wuhu,Anhui,241060
    4.School of Mechatronics Engineering,Harbin Institute of Technology,Harbin,150006

  • Online:2025-06-25 Published:2025-08-04

摘要: 为解决机器人在打磨去除轮毂窗口边缘毛刺时存在刀位点稀疏或冗余与分布不均、作业工具姿态获取困难和变化剧烈等问题,提出一种含有刀位点规划和工具姿态获取与优化的轮毂窗口毛刺机器人打磨路径规划方法。采用NURBS曲线形态特征参数描述轮毂窗口边缘曲线,开展轮毂窗口边缘机器人刀位点规划;提出一种考虑轮毂点云和窗口表面特征的轮毂窗口内侧面法向量获取方法,并建立刀位点处局部坐标系,描述机器人工具姿态;建立机器人末端工具姿态优化模型并优化求解,获得连续平滑的轮毂窗口机器人末端工具姿态;开展轮毂窗口边缘毛刺机器人打磨实验,验证所提轮毂窗口毛刺机器人打磨路径规划方法的有效性。结果表明,在轮毂窗口毛刺打磨去除过程中,机器人关节角曲线较平滑,机器人可以精准到达所规划的刀位点且其末端工具较好地接触窗口边缘并保持适宜的加工姿态;经毛刺打磨后的不同轮毂窗口边缘倒角最大不超过1.50 mm,多处不同位置倒角测量的最大平均值为0.64 mm,均在工艺规范规定范围内。

关键词: 机器人打磨, 刀路规划, 刀位点规划, 工具姿态优化, 轮毂窗口

Abstract:  In order to solve the problems of sparse or redundant and uneven distribution of cutter location points, and the difficulty in acquiring the operational tool orientation and drastic changes when the robot was grinding and removing wheel window edge burrs, a robot grinding path planning method with cutter location point planning and tool orientation acquisition and optimization for wheel window burrs were proposed. The wheel window edge curve was described by using NURBS curve morphology feature parameters and robotic cutter location point planning was conducted for the wheel window edge a method for acquiring the normal vector of the inner face of the wheel window was proposed considering the wheel point cloud and window surface features, and a local coordinate system at the tool position points was established to describe the robot tool orientation. A robot end tool orientation optimization model was established and optimally solved to obtain a continuous smooth robot end tool orientation for the wheel window. Wheel window edge burr robot grinding experiments were conducted to verify the effectiveness of the proposed robot grinding path planning method for wheel window burrs. The results show that the robot joint angle curve is relatively smooth in the wheel window burr grinding and removing processes, and the robot may accurately reach the planned cutter location points and the end tool contacts window edges well and maintains the appropriate operational orientation. The maximum chamfer of different wheel window edges after burrs grinding remains below 1.50 mm, and the maximum average value of chamfer measurements at different positions is as 0.64 mm, which is within the specified range of the processing specification.

Key words: robotic grinding, tool path planning, cutter location points planning, tool orientation optimization, wheel hub window

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