Performance Prediction of Assembly Based on Dynamic Alignment

Fei Wan; Guo Xi Li; Zhi Hua Rao

doi:10.4028/www.scientific.net/AMM.271-272.657

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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 271-272Performance Prediction of Assembly Based on...

Performance Prediction of Assembly Based on Dynamic Alignment

Abstract:

To change the status of time-consuming and over-reliance on technicians in mechanical system alignment process, performance prediction based on dynamic alignment was proposed. The mapping relationship between alignment process parameters and machine dynamic characteristics was established. A large number of computational experiments are implemented by adjusting the value of process parameters in order to learn and anticipate experimental data and also find out the rules of process parameters on machine dynamic characteristics. The method can optimize the alignment process, guide technician alignment, modify the theory mapping, and improve the alignment efficiency.

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Periodical:

Applied Mechanics and Materials (Volumes 271-272)

Pages:

657-662

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.271-272.657

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Online since:

December 2012

Authors:

Fei Wan, Guo Xi Li, Zhi Hua Rao

Keywords:

Computational Experiment, Dynamic Alignment, Parameters Mapping, Process Optimization

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