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基于谐波理论的轴孔特征误差分离与表面形貌预测
引用本文:苏长青,孙业翔,屈力刚,叶柏超,杨野光.基于谐波理论的轴孔特征误差分离与表面形貌预测[J].兵工学报,2016,37(10):1956-1963.
作者姓名:苏长青  孙业翔  屈力刚  叶柏超  杨野光
作者单位:沈阳航空航天大学航空制造工艺数字化国防重点学科实验室,辽宁沈阳,110136;沈阳航空航天大学航空制造工艺数字化国防重点学科实验室,辽宁沈阳,110136;沈阳航空航天大学航空制造工艺数字化国防重点学科实验室,辽宁沈阳,110136;沈阳航空航天大学航空制造工艺数字化国防重点学科实验室,辽宁沈阳,110136;沈阳航空航天大学航空制造工艺数字化国防重点学科实验室,辽宁沈阳,110136
基金项目:国家自然科学基金项目(51005228、U1433109),沈阳航空航天大学航空制造工艺数字化国防重点学科实验室与中国空空导弹研究院合作项目(201601260216)
摘    要:轴孔零件作为机械产品中应用最为广泛的核心零件趋于向高精度、高强度、多元化方向发展,其质量控制和质量评价至关重要。针对轴孔零件的形位误差分离问题,在研究了传统的误差分离技术和谐波理论的基础上,提出了轴孔零件形位误差的谐波分离方法。根据在零件上测得的周期性数据,分析了各次谐波误差的产生机理,提出了控制低次谐波误差的措施。利用空间点矢量法获得了测量点实际位置,结合拟合算法对零件表面形貌进行了预测。通过实验验证了形位误差谐波分离和表面形貌预测方法的准确性和合理性,为轴孔零件的表面质量评价和预测提供一种新的思路。

关 键 词:机械制造工艺与设备  误差分析  谐波测量  形貌预测  谐波理论  误差分离

Error Separation and Surface Topography Prediction of Shaft and Hole Based on Harmonic Theory
SU Chang-qing,SUN Ye-xiang,QU Li-gang,YE Bai-chao,YANG Ye-guang.Error Separation and Surface Topography Prediction of Shaft and Hole Based on Harmonic Theory[J].Acta Armamentarii,2016,37(10):1956-1963.
Authors:SU Chang-qing  SUN Ye-xiang  QU Li-gang  YE Bai-chao  YANG Ye-guang
Affiliation:(Key Laboratory of Fundamental Science for National Defence of Aeronautical Digital Manufacturing Process,Shenyang Aerospace University, Shenyang 110136, Liaoning, China)
Abstract:As one of the most widely used core parts in mechanical products, the shaft and hole parts tend to develop towards high precision, high strength and diversity. The quality control and quality evaluation are very important for shaft and hole parts. For the shape error separation of the shaft and hole parts, a harmonic separation method is proposed based on the research on the traditional error separation technique and the harmonic theory. According to the periodic data measured on the parts, the generation mechanism of each harmonic error is analyzed, and the measures to reduce the error are put forward. The actual position of the measuring point is obtained by using the space point vector method, and the surface topographies of the parts are predicted by combining with the surface fitting algorithm. The accuracy and rationality of the harmonic separation and surface topography prediction method are verified by experiments. Those methods provide a new idea for the surface quality evaluation and prediction of shaft and hole parts.
Keywords:manufaturing technology and equipment  error analysis  harmonics measurement  topography prediction  harmonic theory  error separation
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