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Optimization Study on the Two-Color Injection Molding Process of Medical Protective Goggles Based on the BP-SSA
Ming Yang1, Yasheng Li1, Jubao Liu1
1Mechanical Science and Engineering College, Northeast Petroleum University, Daqing 163318, China.
This study optimized two-color injection molding for medical goggles, reducing warpage deformation by 67.9% using an intelligent BP-neural network-Sparrow Search Algorithm (SSA) optimization model. The process ensures high-performance requirements for medical applications.
Area of Science:
- Polymer Science and Engineering
- Manufacturing Processes
- Computational Materials Science
Background:
- Two-color injection molding of medical goggles faces defects like warpage and debonding, hindering multi-performance requirements.
- Achieving high light transmittance, impact resistance, and chemical resistance is crucial for medical device functionality.
- Existing methods struggle to balance process parameters for optimal defect reduction and performance.
Purpose of the Study:
- To optimize the two-color injection molding process for medical goggles, minimizing defects like warpage deformation.
- To meet stringent multi-performance requirements including optical clarity, impact strength, and chemical resistance.
- To develop an integrated methodology combining material selection, simulation, and intelligent optimization for high-precision manufacturing.
Main Methods:
- Material selection using compatibility principles and Moldflow simulation (Apec 1745 PC for frame, Makrolon 2858 PC for lens).
- 3D simulation modeling with Moldflow, optimizing injection sequence, gating, and cooling systems.
- Orthogonal testing (L32) to gather data on process parameters (temperatures, pressures, times) and warpage.
- Development of a BP-SSA intelligent optimization model to predict and minimize warpage deformation.
Main Results:
- The BP-SSA model achieved a Mean Absolute Percentage Error (MAPE) of 2.28%, significantly outperforming a standalone BP neural network (14.36%).
- Optimal parameters identified: 130°C mold temp, 311°C/310°C melt temps, 83 MPa/70 MPa holding pressures, 14s/8s holding times.
- Optimized process reduced warpage deformation to 0.8956 mm (simulation) and 0.944 mm (measured), a 67.9% decrease from initial simulations.
Conclusions:
- The integrated "material selection-CAE simulation-orthogonal test-BP-SSA optimization" approach effectively reduces warpage in two-color injection molding.
- This methodology provides technical support for high-precision manufacturing of thin-walled, transparent, multi-material medical products.
- The optimized process successfully balances defect reduction with critical performance requirements for medical goggles.
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