Rule-based explanations based on ensemble machine learning for detecting sink mark defects in the injection moulding process

Author:

Obregon JosueORCID,Hong JihoonORCID,Jung Jae-YoonORCID

Funder

Ministry of Trade, Industry and Energy

Korea Institute for Advancement of Technology

National Research Foundation of Korea

Ministry of Science and ICT, South Korea

Agency for Science, Technology and Research

Publisher

Elsevier BV

Subject

Industrial and Manufacturing Engineering,Hardware and Architecture,Software,Control and Systems Engineering

Reference38 articles.

1. Computer Modeling for Injection Molding: Simulation, Optimization, and Control;Zhou,2013

2. Intelligent Optimization of Mold Design and Process Parameters in Injection Molding;Moayyedian,2019

3. Injection Molding Handbook;Rosato,2012

4. Automatic vision inspection solution for the manufacturing process of automotive components through plastic injection molding;Muresan,2020

5. Online quality optimization of the injection molding process via digital image processing and model-free optimization;Yang;J Mater Process Technol,2015

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