Abstract
C (CAD/CAM/CAE) method is put forward to optimize the structure of TSSC (twin-spirals scroll compressor) from conceptual design to finished products. The mathematical model and virtual model of TSSC are developed. A novel algorithm GA-HPSO combining with the advantages of GA (genetic algorithm), SA (simulated annealing) and PSO (particle swarm optimization) and NN (neural network) is applied to TSSC performance prediction. The swarm intelligence algorithm is used for structure optimization, and the final optimization design variables are gotten. CAE is performed to study the two key components of TSSC-orbiting and fixed scroll, which is useful for improving the quality and reliability of manufacturing and assembly accuracy at the later stages. The prototype of TSSC is manufactured based on 3C. The analysis results show that 3C method can well overcome the blindness and limitation of the traditional design. It offers a new method and idea for wide application of the scroll compressor.
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