Document Type : Research Note
Authors
1
Dept. of Aerospace Engineering K. N. Toosi University of Technology
2
Dept. of Aerospace Engineering Sharif University of Technology
Abstract
Multidisciplinary design optimization (MDO), and its application for optimizing engineering systems in the form of design offices based on collaborative optimization, is undertaken in this research. In recent decades, he ultidisciplinary Design Optimization method has been developed for complex systems as a new field of engineering dealing with optimization methods and modern design. This methodology was first introduced in 1991, when Subisky wrote an inspiring article on multidisciplinary design optimization as a new design method capable of meeting the needs of the designer. Thus, the Subisky article can be seen as the starting point in application of multidisciplinary design optimization to engineering problems. and is still referred to in the majority of scholarly articles, The variety of disciplines involved in engineering design, especially in the aerospace industry, along with intense competition in the international marketplace, has forced designers to employ multidisciplinary design methods, and to give more attention to optimization as an inevitable necessity in todays engineering design. Multidisciplinary design optimization is of vast scope, covering all design optimization methods, sensitivity analysis, approximate concepts, data processing and management methods, and strategies, addressing multiple disciplines and the interrelationships between them in an integrated design structure. One of the various multidisciplinary optimization methods is the collaborative optimization method. This is a multi-level optimization method which first separates the problems into two distinct levels, according to the disciplines involved, and then solves them. This method solves an engineering problem, called the optimum design of a Speed Reducer gear unit, and provides a problem analyzing method, a problem optimization procedure at discipline level, and problem optimization at the system level. Also, it is illustrated that this method is an appropriate technique for solving complicated problems with large design space. These include problems introduced in the aerospace industry in the form of design offices and their division into related disciplines. The purpose of this article is to elaborate on the method in question, including the way it is used in the work cycle of design offices, and demonstrate, via an actual problem solving procedure, how it can be employed to solve complicated engineering problems.
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