Hybrid Optimization Approach for Gas-Assisted Injection Molding Based on Metamodeling and Particle Swarm Algorithm

Wei Chen; Xian Hong Han; Xiong Hui Zhou; Xue Wei Ge

doi:10.4028/www.scientific.net/AMR.97-101.3353

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Thermodynamic Performance Simulation of Diesel EGR Cooler with Finned Tube
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Hybrid Optimization Approach for Gas-Assisted Injection Molding Based on Metamodeling and Particle Swarm Algorithm
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Three-Dimensional Thermal Analysis of Spherical Plain Bearings with Self-Lubricating Fabric Liner
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HomeAdvanced Materials ResearchAdvanced Materials Research Vols. 97-101Hybrid Optimization Approach for Gas-Assisted...

Hybrid Optimization Approach for Gas-Assisted Injection Molding Based on Metamodeling and Particle Swarm Algorithm

Abstract:

As a new plastic process technique, Gas-assisted injection molding has many advantages comparing to the traditional injection molding. Meanwhile, Optimization of Gas-assisted injection molding is more complex since many additional parameters have been introduced to the process. In this paper, a hybrid optimization approach based on metamodeling and particle swarm optimization algorithm is proposed and applied for Gas-assisted injection molding. Moreover, the validation of the approach will be illustrated through the optimization process of a real panel.