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RV摆线轮专用镗床几何误差分析 被引量:1

Geometric error analysis of the special boring machine for RV cycloid gears
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摘要 针对普通摆线轮镗孔设备存在效率低、精度低等问题,提出了一种摆线轮坐标孔专用镗床,并确定了专用镗床的整体结构。为提高专用镗床的加工精度,需要明确各几何误差元素对专机加工精度的影响程度,并重点控制影响程度较大的几何误差元素。首先分析了专用镗床的几何误差元素,基于多体系统理论和齐次坐标变换建立了专用镗床的几何误差模型,对比分析了模型计算结果与三角关系法计算结果,验证了误差模型的正确性;利用灵敏度分析法建立了各个几何误差元素的灵敏度方程,通过归一化处理确定了各个几何误差元素的灵敏度系数,得到了对专机加工精度影响最大的几何误差元素,并基于灵敏度分析结果,对专机关键部件进行选型。 Common cycloid-gear boring equipment has the problems of low efficiency and low precision. In this paper, a special boring machine for the cycloid-gear coordinate hole is proposed and its overall structure is designed. To improve the machining precision of the special boring machine, it is necessary to understand the effects of geometric error elements on the precision of the special boring machine and control the major elements that have the largest effect. The geometric error elements of the special boring machine are analyzed. Based on the multi-body system theory and homogeneous coordinate transformation, the geometric error model of the special boring machine is established. The correctness of the error model is verified by comparing the calculation results of the model with those of the triangulation method. The sensitivity equation of each geometric error element is established by the sensitivity analysis method, and the sensitivity coefficient of each geometric error element is determined through normalization processing. The geometric error element that has the greatest impact on the machining accuracy of the special machine is obtained. Based on the sensitivity analysis results, the key components of the special boring machine are selected.
作者 陈佳豪 陈永洪 肖向 陈兵奎 CHEN Jiahao;CHEN Yonghong;XIAO Xiang;CHEN Bingkui(State Key Laboratory of Mechanical Transmissions,Chongqing University,Chongqing 400044,P.R.China)
出处 《重庆大学学报》 CAS CSCD 北大核心 2022年第8期1-13,共13页 Journal of Chongqing University
基金 国家重点研发计划(2017YFB1300704) 重庆市自然科学基金(cstc2018jcyjAX0301)。
关键词 RV减速器 专用镗床 几何误差 灵敏度分析 RV reducer special boring machine geometric error sensitivity analysis
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