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A New Conformal Cooling Design Procedure for Injection Molding Based on Temperature Clusters and Multidimensional
Abelardo Torres-Alba1, Jorge Manuel Mercado-Colmenero1, Daniel Diaz-Perete1
1Department of Engineering Graphics Design and Projects, University of Jaen, Campus Las Lagunillas, s/n. Building A3-210, 23071 Jaen, Spain.
Polymers
|January 16, 2020
Summary
This study introduces an automated method for designing conformal cooling systems in injection molding. The algorithm optimizes cooling efficiency and part quality using a discrete multidimensional model and genetic algorithms.
Area of Science:
- Manufacturing Engineering
- Materials Science
- Computational Mechanics
Background:
- Traditional injection mold cooling system design is complex and requires significant expertise.
- Optimizing cooling is crucial for reducing cycle times and improving plastic part quality.
- Current methods often lack the precision to adapt to complex part geometries and thermal profiles.
Purpose of the Study:
- To develop an automated method for designing conformal cooling systems in injection molding.
- To leverage a discrete multidimensional model and advanced algorithms for enhanced cooling system design.
- To improve the efficiency and accuracy of cooling system design, reducing reliance on manual expertise.
Main Methods:
- A discrete multidimensional model of the plastic part is created, incorporating temperature data from melt flow.
- The algorithm classifies temperature data into 'temperature clusters' based on discrete node temperatures.
- Genetic evolutionary algorithms and a physical model are employed to design and dimension the conformal cooling system.
Main Results:
- The automated method designs conformal cooling systems with cooling times comparable to analytical models, showing less than 5% relative error.
- The designed cooling systems ensure the final quality of plastic parts meets industry standards.
- The algorithm automatically validates and dimensions the injection mold cooling system, reducing manual design effort.
Conclusions:
- The proposed automated method offers a significant advancement in conformal cooling system design for injection molding.
- This approach enhances design accuracy, reduces cooling times, and ensures high-quality plastic parts.
- The automation streamlines the design process, making it accessible without requiring highly specialized mold designers.
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