1,721,063 research outputs found
FE simulation of the injection molding process of complex-shaped parts realized using aluminum molds
No full textOptimization of injection molded parts by using ANN-PSO approach
No full textPurpose: The aim of the work was the optimization of injection molded product warpage by using an integrated
environment.
Design/methodology/approach: The approach implemented took advantages of the Finite Element (FE)
Analysis to simulate component fabrication and investigate the main causes of defects. A FE model was initially
designed and then reinforced by integrating Artificial Neural Network to predict main filling and packing results
and Particle Swarm Approach to optimize injection molding process parameters automatically.
Findings: This research has confirmed that the evaluation of the FE simulation results through the Artificial
Neural Network system was an efficient method for the assessment of the influence of process parameter
variation on part manufacturability, suggesting possible adjustments to improve part quality.
Research limitations/implications: Future researches will be addressed to the extension of analysis to large
thin components and different classes of materials with the aim to improve the proposed approach.
Originality/value: The originality of the work was related to the possibility of analyzing component fabrication
at the design stage and use results in the manufacturing stage. In this way, design, fabrication and process control
were strictly links
Manufacturing of long thin products for automotive industry by injection molding: a case study
No full text
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