This book describes an effective framework for setting the right process parameters and new mold design to reduce the current plastic defects in injection molding. It presents a new approach for the optimization of injection molding process via (i) a new mold runner design which leads to 20 percent reduction in scrap rate, 2.5 percent reduction in manufacturing time, and easier ejection of injected part, (ii) a new mold gate design which leads to less plastic defects; and (iii) the introduction of a number of promising alternatives with high moldability indices. Besides presenting important developments of relevance academic research, the book also includes useful information for people working in the injection molding industry, especially in the green manufacturing field.
This book describes an effective framework for setting the right process parameters and new mold design to reduce the current plastic defects in injection molding. It presents a new approach for the optimization of injection molding process via (i) a new mold runner design which leads to 20 percent reduction in scrap rate, 2.5 percent reduction in manufacturing time, and easier ejection of injected part, (ii) a new mold gate design which leads to less plastic defects; and (iii) the introduction of a number of promising alternatives with high moldability indices. Besides presenting important developments of relevance academic research, the book also includes useful information for people working in the injection molding industry, especially in the green manufacturing field.
Nominated as an outstanding PhD thesis by University of South Australia, Adelaide, Australia Describes experimental, numerical and optimization techniques for improving mold design Demonstrates the efficacy of combining different methods, such as ANOVA, Taguchi, TOPSIS and fuzzy logic Offers a comprehensive review on injection modeling process and mold design concepts
Mehdi Moayyedian
Injection Molding Design Defect Prediction in Injection Molding Gate Systems for Scrap Reduction Gate Design Optimization Cold Runner Design Plastic Defects Analysis Filling Process Analysis Fuzzy Optimization in Manufacturing Taguchi Experimental Design Process Optimization via Fuzzy AHP Application of Fuzzy TOPSIS Combination of ANOVA and Taguchi Methods