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http://dx.doi.org/10.7471/ikeee.2019.23.1.22

Quality Check Monitoring System for Advancing the Yield Rate based on Sensor  

Xiang, Zhao (Dept. of Electronics Engineering, Semyung University)
Yoon, Dal-Hwan (Dept. of Electronics Engineering, Semyung University)
Publication Information
Journal of IKEEE / v.23, no.1, 2019 , pp. 22-28 More about this Journal
Abstract
This paper presents the monitoring method of machining error and quality check to improve the productivity of boring manufacturing process. Machining error usually appears as the offset of spatial location of actual cutting path compared to ideal cutting path. In order to monitor an error of workpiece, multiple factors affecting quality of boring, such as distortion of workpiece, clamping error, radial rotation error of the spindle and motion error of machine tools, were took into account. To verify the productive quality, we propose the quality check system. The system based on IT convergence analyzes the process error rate and saves the analyzed data in memory. Also, these play important roles in detecting an inferior production goods and can decrease the production cost and loss of bearing.
Keywords
machining error model; tool cutting path; quality check; boring process; yield rate;
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Times Cited By KSCI : 1  (Citation Analysis)
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