Research On Multidisciplinary Design Optimization Of Bulldozer Working Equipment

As the engineering design and optimization problems become increasingly complex, a new methodology named Multidisciplinary Design Optimization (MDO) is gradually formed. It primarily focuses on the design and optimization of complex engineering systems and subsystems which are governed by mutually interacting physical phenomena. MDO employs many state-of-the-art techniques and methods to counter the computational and organizational challenges brought by the synergism of disciplines and subsystems. This thesis is based on a military pre-research project which involves design and optimization of bulldozer working equipment, and is organized into the following six chapters:In chapter one, the background and meaning of MDO are summarized, followed by its key concepts and techniques. Then the MDO problem of bulldozer equipment is broached and the inside discipline synergism is analyzed.In chapter two and three, the disciplinary analysis and modeling process for the equipment's mechanism and structure design are discussed respectively. Virtual prototype, Design of Experiment (DOE), parameterized modeling and automatic disciplinary analysis techniques are employed in this process.Chapter four focuses on the research on Particle Swarm Optimization (PSO). By reviewing and studying the key achievements in its history of development, several aspects worth further researching are pointed out and experiments are carried out. In order to be applied in the MDO process of bulldozer working equipment, PSO is accordingly transformed into optimizer.The fifth chapter is the realization of the problem's MDO process. The optimization procedure and model are clarified, followed by the software-integrated optimization process for the problem. The evaluation of the optimized design plan shows a good fulfillment of its requirement and the improvement is satisfying.The last chapter concludes the whole paper and suggestions for further research are given.