Multidisciplinary Design Optimization For Multi Purpose Design Of Truck

Multidisciplinary Design Optimization (MOO) problem are often are encountered in many industrial areas and aspect. MOO refers to the optimization of systems of subsystem (disciplines). The optimization of the full system is often reduced to hierarchy of optimizations at subsystem and system levels. Multidisciplinary Design Optimization is a body of methods and techniques for performing the above optimization so as to balance the design considerations at the system and detail levels. This paper will be presents an application of MOO for multi purpose design of truck, case study in Toyota Dyna. That body of truck can be used for some purpose, example for fluid tanker, mixer truck, bulk and box truck and other purpose. The successful design requires harmonization of a number of objectives and con5traint. However, dimensionality of such optimization and the complexity and expense of the underlying analysis suggest a decomposition approach to enable concurrent execution of smaller and more manageable task. We identify that the fundamental approach to modeling the design depend on lumped mass, vehicle fixed coordin2te system, motion variable, earth fixed coordinate system, euler angles, and force. The master problem for multi purpose design of body truck is to maximize the contain capacity, with design variable are length, wide and high of the body. The sub problem are minimize the centrifugal force, roll threshold and suspension. The result of this paper will be giving the optimum condition of the body dimension and helpful the design to reduce time for design. Finally, quality of product will be increase, reducing cost and thereby being competitive