节点文献

基于汽车密封条逆向工程应用的误差分析与研究

Error Analysis and Research of Reverse Engineering Application Based on Automobile Seal

【作者】 江南妮

【导师】 黄放;

【作者基本信息】 贵州大学 , 机械制造及其自动化, 2008, 硕士

【摘要】 逆向工程作为一种产品创新设计的重要手段,在产品创新设计中起到日益重要的作用,是推进先进制造业发展的利器。汽车密封条逆向开发过程涉及的环节繁多,导致制品精度很低,致使汽车密封条逆向开发制造进展缓慢。目前国内外对于汽车密封条逆向工程制品误差精度技术的研究仅局限于在各个具体工艺步骤的可靠性、精度和质量的探讨上,而对于汽车密封条逆向工程系统的制品尺寸精度方面整体研究较少。本文以汽车密封条样件的快速制造为例,将汽车密封条逆向工程系统分为前处理、分层叠加自由成形、后处理、由快速原型复制硅橡胶模具和由硅橡胶模具制作成品零件五个环节,全面详细地探讨了每个环节制造精度的影响因素并提出相应的控制措施。将逆向工程制造系统各制造环节的误差及其误差补偿按照尺寸链的形式组成一个封闭的链环—误差链,提出将系统误差和随机误差共同反馈补偿的闭环控制模式。在控制各环节误差的基础上,将训练好的BP神经网络前置于逆向工程制造系统,得出能使逆向工程制造系统产生标准输出的最佳可控输入,对逆向工程制造系统的制造精度进行离线控制,并对此误差控制方法进行了实验和生产实践的验证。

【Abstract】 Reverse engineering plays an increasingly important role in creative accelerated new product development and manufacturing.The automobile seal RE involves the so many links,which causes the product precision to be very low and causes the automobile seal RE development manufacture slow progress.At present domestic and foreign only limits regarding the automobile seal reverse-engineering products error precision technology’s research to each concrete craft step reliability,the precision and in the quality discussion,but are few regarding the automobile seal reverse-engineering system’s formation product size precision aspect whole research.Here in the essay,the author takes FDM and silastic mould integrated manufacturing system as an example,divides the whole course of the manufacture into five steps:Pre-processing,Laminating Free Form Abrication,Post-processing, the course of reproducing silastic mould from Rapid Prototyping and the manufacture of finished parts from silastic mould.Factors affecting the manufacture accuracy occuring in every step and the related control measures are specifically and completely illustrated.A closed error link is established in the form of the size link, which consists of errors occurring in every manufacture step of the Reverse engineering Manufacture System and error compensation.On the basis of the control over errors occurring in every manufacture step,the well-trained BP Neural Network is pre-stationed to the Reverse engineering Manufacture System and an optimum controllable input is drawn which can make the Reverse engineering Manufacture System produce a standard product,and the manufacture accuracy of the Reverse engineering Manufacture System can be controlled off line.And this error-control method is tested in laboratory and in production.

  • 【网络出版投稿人】 贵州大学
  • 【网络出版年期】2009年 03期
节点文献中: