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Fusion of NSGA-II and Latin hypercube sampling for optimizing node displacement in thin-film IME molding
Hanjui Chang1,2, Fei Long3,4, Jiaquan Li3,4
1Department of Mechanical Engineering, College of Engineering, Shantou University, Shantou, 515063, China. changhj@stu.edu.cn.
Scientific Reports
|February 14, 2026
Summary
This study optimizes magnetic levitation shields for firefighter safety by minimizing node displacement in in-mold electronics (IME) circuits. Advanced algorithms reduced displacement by up to 89.7%, enhancing shield stability and protective function.
Area of Science:
- Materials Science and Engineering
- Mechanical Engineering
- Electrical Engineering
Background:
- Firefighter safety relies on advanced protective equipment, including novel designs like magnetic levitation shields.
- In-mold electronics (IME) technology integrated into protective gear presents challenges with circuit defects and node displacement.
- Precise control of magnetic levitation systems is crucial for the functional integrity of these advanced shields.
Purpose of the Study:
- To minimize node displacement in IME circuits within magnetic levitation shields.
- To optimize injection molding parameters for improved IME circuit stability and reduced current/power loss.
- To enhance the overall safety and reliability of protective equipment for firefighters.
Main Methods:
- Integration of Non-dominated Sorting Genetic Algorithm II (NSGA-II) with Latin Hypercube Sampling (LHS) for process parameter optimization.
- Utilized Moldex 3D simulation software to identify Pareto optimal solutions for injection molding parameters.
- Systematic analysis of the correlation between node displacement and circuit performance (current/power loss).
Main Results:
- Achieved a significant optimization rate of 65.7-89.7% for node displacement through synergistic algorithm application.
- Demonstrated a clear link between reduced node displacement and minimized current and power losses in IME circuits.
- Validated the effectiveness of the proposed optimization methodology in enhancing shield stability and protective capabilities.
Conclusions:
- The combined NSGA-II and LHS approach effectively minimizes node displacement, crucial for reliable IME circuit performance in magnetic levitation shields.
- Optimized manufacturing processes lead to more stable and safer protective equipment for high-risk professions like firefighting.
- This research pioneers the integration of IME technology with intelligent optimization, paving the way for next-generation firefighter safety solutions.
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