【作者】 岳国栋；

【导师】 潘双夏； 邱清盈；

【作者基本信息】 浙江大学 ， 机械设计及理论， 2009， 硕士

【摘要】 随着工程设计面临的设计优化问题越来越复杂,逐渐形成了一门多学科设计优化方法学,其研究的对象是内部存在学科交互作用的复杂系统和子系统,并通过一系列的技术和方法,解决学科交互作用造成的计算成本和组织难度负担。本篇论文结合军工预研项目开展推土机工作装置的多学科设计优化技术研究。本文共分为六章:第一章绪论,归纳与总结了多学科设计优化方法学产生的背景与意义、主要研究内容和关键技术,进而提出了课题研究的推土机工作装置的多学科设计优化问题,分析了问题内部的学科耦合情况,明确了研究内容。第二章与第三章分别从工作装置的机构设计和结构设计方面论述了学科分析与建模的过程,其中对虚拟样机、试验设计、参数化建模和自动化学科分析等技术内容有较详细的论述。第四章是对粒子群优化算法的研究,通过系统学习该算法发展过程中的已有成果,提出了几个值得深入研究的问题,进而对其进行了试验研究。为了将粒子群算法应用于推土机工作装置的多学科设计优化问题,本文对该算法进行了有针对性地优化器改造。第五章内容是推土机工作装置多学科设计优化过程的实现部分,对优化进程进行了规划并建立了优化模型,以软件集成的方式实现了自动化优化流程。对优化方案的评价显示该方案能够很好的满足设计要求并在主要优化目标上取得了显著的改进。第六章,总结了本文的主要工作,并且对后续工作进行展望。更多还原

【Abstract】 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.更多还原