Multidisciplinary Optimization (MDO): Optimal Product Design
A multidisciplinary system is a system that integrates multiple technologies from various fields such as computer science, electronics, mechanics, etc. The major challenge of such a system is to integrate the different characteristics and specificities from each discipline so that they interact with each other efficiently and, above all, optimally. This training aims to familiarize participants with the field of Multidisciplinary Optimization (MDO) as well as the sizing of its multiple components. Emphasis will be placed on best practices in optimization through examples and case studies involving multiple physical and economic aspects.
The various case studies in the engineering field will involve computer tools such as Excel®, Matlab®, and two dedicated tools, “OptiY” and “Pro@DESIGN”.
This training enables participants to better understand the challenges, constraints, and pitfalls associated with MDO in their optimal sizing process from both functional and economic perspectives. The focus of this training is on best practices for implementing MDO optimization tools rather than advanced algorithm programming.
Engineers, designers, technicians, and project managers who wish to learn about Multidisciplinary Optimization (MDO). More specifically, this training targets designers who are confronted with multi-criteria challenges (environmental, economic, etc.) and increasing complexity in specifications.
A basic knowledge of Excel® and Matlab® is required. Mastery of programming and mathematics is not essential.
Product design engineers, performance analysts, engineering students
Principles of MDO, design target setting, interdependent parameter modeling, industry-based examples
Conceptual learning focused on multi-physics problems, numerical exercises and case studies
Optimizing complex product design to reduce cost and increase performance in aerospace, automotive, energy and industrial sectors
