Multidisciplinary Design Optimization (MDO)

Multidisciplinary Design Optimization (MDO) is a process that involves the optimization of a complex system that includes multiple interacting disciplines. It is a systematic approach that integrates the knowledge and expertise of various engineering disciplines, including mechanical, electrical, civil, and aerospace, among others, to optimize the design of a system.

MDO involves using mathematical models and computational methods to optimize the performance of a system while taking into account various design constraints, such as cost, weight, and manufacturability. The goal of MDO is to create a design that meets all of the design requirements while minimizing the overall cost and maximizing the performance of the system.

MDO typically involves iterative processes of simulation, optimization, and analysis. The simulation models are developed for each discipline and are integrated into a single system-level model. The optimization process then involves adjusting the design parameters to optimize the system’s performance while satisfying the design constraints. Finally, the analysis process evaluates the performance of the optimized design to ensure that it meets all of the design requirements.