A Target Decomposition Method for Chassis Components Based on Robust Optimization
A technology of objective decomposition and robust optimization, applied in multi-objective optimization, design optimization/simulation, geometric CAD, etc., to reduce the optimization dimension and optimization difficulty, reduce simulation solution time, and realize the effect of automation
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[0044] The DOE design matrix was built using the Latin hypercube method, given 801 sample points. Call the parameters created in step 1.3
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[0053] The key hard point position deviation distribution function is set to be a normal distribution function, and its standard deviation is 0.1 mm. Based on step 3
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[0057] Call the rear suspension K characteristic analysis model to verify the optimization results, and the verification results are shown in Table 5. Results from Table 5
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[0066] The DOE design matrix was built using the Latin hypercube method, given 500 sample points. Call the parameters created in step 1.3
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[0078] Call the rear suspension C characteristic analysis model to verify the optimization results, and the verification results are shown in Table 10. From Table 10 can be
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