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Vibration Resistance Optimization of Housing Based

Lei Cheng, Bingxing Wei

2026envibrationoptimizationparticle swarmsemiconductorreliability

Abstract

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To improve the operational reliability of semiconductor laser diode array beam combining systems under vibration conditions, this study introduces an integrated optimization approach combining central composite design (CCD) with multi-objective particle swarm optimization (PSO). The methodology involves establishing a response surface model correlating housing stiffness parameters with vibration response indicators, subsequently applying multi-objective PSO for Pareto front optimization. This integrated strategy enables balanced multi-objective optimization of the anti-vibration structure. By modifying the original design into a vibration-resistant configuration, the approach delivers substantial performance enhancements: significantly increased first-order natural frequency, effectively suppressed maximum deformation under random vibration, and well-controlled mass addition. Comparative results demonstrate remarkable improvements over the initial design. The optimized parameter set elevates the first-order natural frequency from 356.3 Hz to 1036.1 Hz while reducing maximum deformation at critical positions from 0.2618 mm to 0.055 mm, with a minimal mass increase of merely 165.47 g. Vibration environment simulation verification demonstrates that after optimization, the output laser power decreases by only 3.3%, and the peak irradiance drops by 5.3%. These improvements substantially enhance system reliability under demanding mechanical conditions, confirming the effectiveness and engineering applicability of the CCD-PSO methodology for anti-vibration design in precision opto-mechanical systems.

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Cite This Work

@article{29b072a7-199f-4791-9853-eb9e55cb1299,
  title={Vibration Resistance Optimization of Housing Based},
  author={Lei Cheng and Bingxing Wei},
  year={2026},
  language={en}
}
TY  - JOUR
TI  - Vibration Resistance Optimization of Housing Based
AU  - Lei Cheng
AU  - Bingxing Wei
PY  - 2026
LA  - en
ER  -

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