Application Of Agile Optimization Design Method

Design for engineering system is often confronted with multidisciplinary aysterity challenge due to involving multiple disciplines for exploiting complex products, such as aerocraft, automobile,whose system design is complicate and time consuming, high cost. Hence, multidisciplinary design optimization, aimed to complex engineering system, is emerged as the times require on the basis of design optimization, which can shorten development time, reduce product cost and raise quality. Almost every practical engineering problem contains some random factors which can lead to random fluctuation, such as loading condition, material characteristics, accuracy of simulation models, geometrical feature, manufacturing tolerance and service condition. Under a multidisciplinary design environment, the uncertainties of one discipline may be propagated to another discipline through the linking variables and the final output from the intefrated multidisciplinary system has an accumulation of the uncertainties from the individual disciplines. Uncertainty will affect ultimately performance if it is not handled well. Therefore, typical MDO not only searches the best collaboration between system optimization and subsystems optimization, but also considers uncertainty leading to impact for design process and results.Based on the Multidisciplinary Design Optimization Environment WorkBench, a new method is presented for Agile optimization design of the mechanical structures. The Agile design technique which is considered as one of the most important key techniques developed/developing in these years in CAD system, the finite elements optimization system are integrated together, so that the software system developed can be used for multidisciplinary design optimization. The method evidently abridges the development periods of mechanical structures with passing over parameters in CAE system. Simultaneity, different from traditionaldesign methods in which safety factor is use to handle with random factors so that it leads to excessive design and can't describe the impact of all kinds of random factors as well as actual safety margin, uncertainty and randomness can be dealed with by stochastic model and probability analysis with the development of quality engineering. When these techniques are applied in the framework of optimization design, they can search feasible design plan.Numerical examples of Palmaz-Schatzare stents are given to demonstrate the validity and efficiency of the technique developed.