Process monitoring technology based on virtual machining

被引：3

作者：

Heo, Eun-Young ^{[1
]}

Lee, Hikoan ^{[1
]}

Lee, Cheol-Soo ^{[2
]}

Kim, Dong-Won ^{[3
]}

Lee, Dong Yoon ^{[4
]}

机构：

[1] CAMTIC, Jeonju Si 54852, Jeollabuk Do, South Korea

[2] Sogang Univ, Seoul 04107, South Korea

[3] Chonbuk Natl Univ, Jeonju Si 54896, Jeollabuk Do, South Korea

[4] Korea Inst lnd Technol, Ansan 15588, Gyeonggi Do, South Korea

来源：

27TH INTERNATIONAL CONFERENCE ON FLEXIBLE AUTOMATION AND INTELLIGENT MANUFACTURING, FAIM2017 | 2017年 / 11卷

关键词：

Virtual machining; Monitoring; Diagnosis; NC tool path; CNC; Sensor signals;

D O I：

10.1016/j.promfg.2017.07.203

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

This paper presents a process monitoring system which is integrated with virtual machining for a more accurate diagnosis of machining operation without the need for test machining. Virtual machining simulates the material removal process along the NC tool path and predicts the static and dynamic characteristics of the operation. The status data of a machine tool from the CNC and sensor signals are integrated with pre-estimated virtual machining data. The proposed monitoring system analyzes the integrated data to diagnose the machining operation in (near) real-time. The application of the monitoring system to 3 axis machining is demonstrated with experimental results. (C) 2017 Published by Elsevier B.V.

引用

页码：982 / 988

页数：7

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