EMP: Extended Kalman Filter Based Self-Adaptive Mold Protection Method on a Toggle Mechanism
Source abstract
Abstract
Nowadays, the plastic injection molding industry is ever-growing, crucial, and its plastic products can be seen everywhere. However, the mold damage problem still frustrates operators because of its high maintenance price and time-consuming maintenance process. This damage is commonly caused by foreign bodies in mold area, and the conventional mold protection method is insufficient for high-performance injection molding machines because of the uncertainty from many setting parameters. To improve detection precision of mold protection driven by a toggle mechanism ( T M ), this paper puts forward E M P , i.e., an extended Kalman filter ( E K F ) based self-adaptive mold protection method, wherein the E K F is used in current curve optimization, and the self-adaptive method ( S A M ) is proposed to gain an safety range of current curve. The E M P was verified in a 140-ton electric injection molding machine. Compared with a general method, the proposed method decreases the detected distance of mold protection by 22% under different thickness foreign bodies.
Source: crossref · Quality: baseline
Research context
OpenAlex topics: Injection Molding Process and Properties · Advanced machining processes and optimization · Industrial Technology and Control Systems
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
Affiliations
Institute of Intelligent and Software Technology, Hangzhou Dianzi University, Hangzhou 310018, China
Tederic Machinery Co., Ltd., Hangzhou 310018, China
Institut f. Automation und Kommunikation e.V., 39106 Magdeburg, Germany
Funding
National Natural Science Foundation of China · Science and Technology Program of Zhejiang Province
References (37)
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