Crucial geometric error compensation towards gear grinding accuracy enhancement based on simplified actual inverse kinematic model

研磨 补偿(心理学) 运动学 机械加工 反向 灵敏度(控制系统) 计算机科学 齿面 控制理论(社会学) 算法 数学 工程类 机械工程 几何学 人工智能 物理 经典力学 控制(管理) 电子工程 心理学 精神分析
作者
Changjiu Xia,Shilong Wang,Shilong Wang,Chi Ma,Sibao Wang,Sibao Wang,Yuliang Xiao
出处
期刊:International Journal of Mechanical Sciences [Elsevier BV]
卷期号:169: 105319-105319 被引量:68
标识
DOI:10.1016/j.ijmecsci.2019.105319
摘要

The geometric error, which will significantly affect grinding accuracy of the gear form grinding machine tool, should be compensated. This paper proposes a crucial geometric error compensation method towards gear grinding accuracy enhancement, and it can directly obtain simplified explicit analytical expressions of compensated motion commands for more efficient and effective compensation. Firstly, an actual forward kinematic model is established by rapid reconstruction of the geometric error modules of motion axes. Next, the conventional actual inverse kinematic model (IKM) directing at tool posture error compensation is developed to calculate analytical expressions of compensated motion commands. Then, the material removal mechanism of gear form grinding process is considered to construct the geometric error- tooth surface posture error model, which directly reveals the mapping rules between the geometric error and the tooth surface errors. On this basis, the crucial error elements regarding tooth profile and helix deviations are identified based on global sensitivity analysis, and the compensated expressions obtained by the actual IKM are further simplified and modified directly towards gear accuracy enhancement. Finally, the crucial error identification and compensation process was verified by both numerical analysis and machining tests. The results show that tooth profile deviations will reduce by more than 80% theoretically but only by 43.27% in fact due to other errors, and it proves the feasibility and effectiveness of the proposed method.
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