Process Design of Injection Molding System for Umbrella Handle Based on Moldflow
Authors: 
Baofu Sun, Rui Zhang, Bohan XuAuthors Info & Claims
Pages 146 - 150
Abstract
The mold can be called the basic process equipment of industrial production. The mold has the characteristics of high precision, high complexity, high consistency, high production efficiency, low energy consumption and low consumables, which is incomparable with general mechanical processing. The design analyzes the injection molding process and mold design of the umbrella handle. Through the design innovation of the shape of the umbrella handle, and then the process analysis, the creo software is used for solid modeling to obtain the three-dimensional model. Using Moldflow analysis software to analyze the injection molding process of the umbrella handle, and establishing a double-layer mesh. By comparing three different gate position schemes, the optimal position of the gate is determined, the filling time, speed/pressure switching and flow front temperature, deformation, etc., establishing the pouring system and the cooling water system, providing the pouring system. The work of the umbrella handle injection molding system are completed.
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Index Terms
- Process Design of Injection Molding System for Umbrella Handle Based on Moldflow
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Information
Published In
November 2019
528 pages
ISBN:9781450361910
DOI:10.1145/3378065
Copyright © 2019 ACM.
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In-Cooperation
- Guilin: Guilin University of Technology, Guilin, China
- Wuhan University of Technology: Wuhan University of Technology, Wuhan, China
- International Engineering and Technology Institute, Hong Kong: International Engineering and Technology Institute, Hong Kong
Publisher
Association for Computing Machinery
New York, NY, United States
Publication History
Published: 08 April 2020
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- Research-article
- Research
- Refereed limited
Conference
ICIIP 2019
ICIIP 2019: 2019 4th International Conference on Intelligent Information Processing
November 16 - 17, 2019
China, China
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Overall Acceptance Rate 87 of 367 submissions, 24%
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