• CN：11-2187/TH
• ISSN：0577-6686

• 运载工程 •

### 基于误差转换的汽车曲轴圆度及圆柱度误差评价数学模型构建研究

1. 1. 浙江大学宁波理工学院机电与能源工程分院  宁波  315100；
2. 上海工程技术大学机械工程学院  上海  201620
• 收稿日期:2015-03-24 修回日期:2015-09-26 出版日期:2016-01-15 发布日期:2016-01-15
• 通讯作者: 1. 浙江大学宁波理工学院机电与能源工程分院 宁波 315100； 2. 上海工程技术大学机械工程学院 上海 201620
• 作者简介:张学昌，男，1969年出生，博士，教授，硕士研究生导师。主要研究方向为复杂曲面逆向建模关键技术、复杂曲面图像检测技术。 E-mail：zz_zxc123@163.com
• 基金资助:
国家自然科学基金(51075362，51205246)和浙江省自然科学基金(Y1100073)资助项目

### Research on Automobile Crankshaft Roundness and Cylindricity Errors Evaluation Mathematical Model Based on the Error Conversion

ZHANG Xuechang1,  LIANG Tao1,  ZHANG Xu2,  WANG Yingying1,  YANG Renmin1

1. 1. School of Mechanical and Energy Engineering, Ningbo Institute of Technology, Zhejiang University, Ningbo 315100;
2. College of Mechanical and Energy Engineering, Shanghai University of Engineering Science, Shanghai 201620
• Received:2015-03-24 Revised:2015-09-26 Online:2016-01-15 Published:2016-01-15

Abstract: Automobile crankshaft roundness error and cylindricity error detection is necessary, and there exists low efficiency, low accuracy presently. The tolerance evaluation model of plane curve and space curve is established based the error conversion principle. The roundness and cylindricity error evaluation mathematical model are also established according on the minimum zone method, the genetic algorithm is used to calculate the form and position errors of the crankshaft with minimum assessment requirement, the method solve the problem of ideal contain elements of the pose parameters being not accurate. Meanwhile the automatic detection scheme of automobile crankshaft shape error is designed based on image domain. The connecting rod shaft is revolute along the main shaft neck, so the measurement data in the image domain is not in the same coordinate system. In order to solve the problem, the holes in the crankshaft flange end are chose as datum feature and through template matching and the hole edge extraction, the rotation angle of the connecting rod shaft has gotten. A certain type of engine crankshaft as an example is taken to have the large number of error detection, and the measured results are compared with the results of the three coordinate measuring machine. Data show that the crankshaft shape error precision of the proposed detection method is 1 µm, and duplicate detection error less than 0.1 µm, so the this method is correct in theory and feasible in practice.