Open AccessThe Method for Optimum Design of Resin Injection Molding Process Conditions using Multivariate Analysis with Robust Parameter Design
Author(s) -
Eiji Toma
Publication year - 2021
Publication title -
mechanical engineering : an international journal
Language(s) - English
Resource type - Journals
ISSN - 2349-2651
DOI - 10.5121/meij.2021.8401
Subject(s) - mold , molding (decorative) , uniformization (probability theory) , process (computing) , product (mathematics) , computer science , multivariate statistics , quality assurance , product design , transfer molding , process engineering , manufacturing engineering , materials science , mechanical engineering , engineering drawing , composite material , mathematics , engineering , operations management , balance equation , geometry , markov model , external quality assessment , machine learning , markov chain , operating system
In recent years, the demand for plastic products has increased, and along with the deepening of academics, mass production, weight reduction, and high precision are progressing. In the fields of design development and production technology, there are many issues related to quality assurance such as molding defects and product strength. In particular, in the resin molding process, there is a high degree of freedom in product shape and mold structure, and it is an important issue to create quality functions that apply analysis of complex multidimensional information. In this study, the important factors of the resin molding process related to the optimization of resin strength are extracted by applying the multivariate analysis method and robust parameter design. As a result of verification of the proposed method, it is clarified that uniformization of the resin filling density in the mold is extremely important for stabilizing the resin strength.