Quality Control Method of VC Processes for Intelligent Manufacturing

被引：0

作者：

Zhang Z. ^{[1
]}

Li Y. ^{[1
]}

Duan M. ^{[1
]}

机构：

[1] School of Mechatronics Engineering, Henan University of Science and Technology, Luoyang, 471003, Henan

来源：

Zhongguo Jixie Gongcheng/China Mechanical Engineering | 2019年 / 30卷 / 14期

关键词：

Product feature; Quality control; Vacuum casting(VC); Voxelization;

D O I：

10.3969/j.issn.1004-132X.2019.014.011

中图分类号：

学科分类号：

摘要：

According to the problems that the VC product quality was difficult to be controlled, low automation of VC equipment and poor flexible processing, depended on the experience of process designers, a quality control model for VC processes was established based on the computer graphics and artificial intelligence. By constructing the voxel model, the geometric parameters of the cavity, such as wall thickness, uniformity and volume, were approximated. On the basis of this, case-based reasoning and network-based reasoning technology were used to establish the relationship model between cavity geometrical parameters and forming processes, which made full use of the historical processing cases to achieve intelligent recommendation of initial processing parameters; then technicians' experiences were excavated to correct product defects by fuzzy inference after trial mode. The examples show that the quality control model based on the above thought method and reasoning mechanism has better reasoning and quality control ability. © 2019, China Mechanical Engineering Magazine Office. All right reserved.

引用

页码：1703 / 1712

页数：9

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