Multi-objective Robustness Optimization Design Of Ride Comfort Of The Sliding Door

With the market share of MPV models increasing gradually,the sliding door is taken as a common door form of MPV,It have been paid more and more attention with the gradual increase of the market share of MPV.The characteristic motion smoothness of the sliding door has a direct influence on the overall performance of the sliding door.It is necessary to analyze and optimize its dynamic characteristics in the previous design of the sliding door smoothness.This topic comes from an automobile research institute.The multi-objective robust optimization design of the smoothness of sliding doors has been described in this paper.The main researching content is as follows.(1)The sliding door of an MPV model is taken as the research object,The structure and characteristics of sliding door motion system are analyzed.The rigid-flexible coupling multi-body dynamics model of sliding door system is established.(2)Analyzing the functional relationship between structural parameters of sliding door,parametric modeling of sliding door rails and hinges is carried out by using parametric function.The acceleration peak of CM of sliding door,load peak of middle guide roller and the time required for full opening of sliding door proposed and analyzed,and verifying the reliability of the parametric model of sliding door through bench test.It shows the model can replace the actual test to guide the performance analysis of the smoothness of sliding door.(3)The sensitivity analysis of structural parameters is carried out,and nine structural parameters with greater influence on the ride comfort of sliding door are selected as design variables to establish the second-order response surface models of the dynamic indexes.(4)The optimization objective is to minimize the acceleration peak of'CM of sliding door and the load peak of middle guide roller,the portability requirement of sliding door opening is taken as the constraint condition,the multi-objective deterministic optimization of the ride comfort of sliding door by using NSGA-?algorithm.Considering the fluctuation of sliding door design variables,monte carlo simulation technique is used for 6? quality analysis of the optimization results,the time required for the full opening of the sliding gates with constraints is not up to 6?quality level,and need to be optimized for robustness.(5)Based on the response surface model,combined with NSGA-? algorithm and monte carlo simulation technology for the multi-objective robust optimization design of the ride comfort of sliding door.The results shows the load peak of middle guide roller and the acceleration peak of CM of sliding door are reduced by 28.0%and 22.2%respectively compared with the initial value,while the results meet the requirements of sliding door opening portability.The ride comfort of the sliding door is improved,and the robustness and reliability of the optimization results are also improved.