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http://dx.doi.org/10.7736/KSPE.2016.33.1.23

Development of Real-Time Condition Diagnosis System Using LabVIEW for Lens Injection Molding Process  

Na, Cho Rok (Department of Mechanical Engineering, Graduate School, Sungkyunkwan University)
Nam, Jung Soo (Department of Mechanical Engineering, Graduate School, Sungkyunkwan University)
Song, Jun Yeob (Department of Ultra Precision Machines and Systems, Korea Institute of Machinery and Materials)
Ha, Tae Ho (Department of Ultra Precision Machines and Systems, Korea Institute of Machinery and Materials)
Kim, Hong Seok (Department of Mechanical and Automotive Engineering, Seoul National University of Science and Technology)
Lee, Sang Won (School of Mechanical Engineering, Sungkyunkwan University)
Publication Information
Journal of the Korean Society for Precision Engineering / v.33, no.1, 2016 , pp. 23-29 More about this Journal
Abstract
In this paper, a real-time condition diagnosis system for the lens injection molding process is developed through the use of LabVIEW. The built-in-sensor (BIS) mold, which has pressure and temperature sensors in their cavities, is used to capture real-time signals. The measured pressure and temperature signals are processed to obtain features such as maximum cavity pressure, holding pressure and maximum temperature by the feature extraction algorithm. Using those features, an injection molding condition diagnosis model is established based on a response surface methodology (RSM). In the real-time system using LabVIEW, the front panels of the data loading and setting, feature extraction and condition diagnosis are realized. The developed system is applied in a real industrial site, and a series of injection molding experiments are conducted. Experimental results show that the average real-time condition diagnosis rate is 96%, and applicability and validity of the developed real-time system are verified.
Keywords
Lens injection molding; Injection molding condition diagnosis; Built-in-Sensor mold; Real-Time system; Industrial site application;
Citations & Related Records
Times Cited By KSCI : 1  (Citation Analysis)
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