Affiliation:
1. Urca (Reims University), Reims, France
2. DINCCS, MICADO, Charleville-Mézières, France
Abstract
The linear process of design-engineeringmanufacturing is nowadays obsolete. Even DFX (Design For X) methodologies are often replaced by Simulation for XFD (X being also Design) approaches. Optimization is also often applied before design. For instance, engineering design optimization of mechanical structures is nowadays essential in the mechanical industry (automotive, aeronautics ...). But optimizing mechanical structures cannot be efficient without taking in account other phases of the design-manufacturing process. In some cases, optimization is only based on trade kwnowledge. Engineers must then design parts or assemblies that are a better compromise, between mechanical and functional performance, weight, manufacturing costs etc. In this paper, after giving an overview on the different disciplines in design optimization of mechanical structures, we propose some trends to take into account the trade knowledge in the optimization/design phases. We propose an integrated approach to optimization in a functional design process with a methodological point of view. We present three different industrial cases of optimization on three examples : one in mechanical structures optimization, on based only on trade knowledge and the third mixing calculus and knowledge
Publisher
North Atlantic University Union (NAUN)
Reference14 articles.
1. Madux, K. C., Jain, S.C. "CAE for the manufacturing engineer: the role of process simulation in concurrent engineering", Manufacturing Simulation and Processes, ASME, 20, 1-15, 1986
2. Sharpe, J.E.E. "Computer Tools for Integrated Conceptual Design ", Design Studies, 16(4), 471-488, 1995
3. Yvon Gardan, Anthony Lerouge, Nicolas Gardan, and Elvis Kwassi. "A methodology to optimize design : fundamentals and case study". the 13th International conference on Mathematical and computational methods
4. Roy, R., Hinduja, S., Teti, R., "Recent advances in engineering design optimization: Challenges and future trends", CIRP Annals, Manufacturing technology, 2008
5. Danesi, F. Gardan, N. Gardan Y. Reimeringer, M. "P4LM: A methodology for product lifecycle management", Computers in Industry 59 (2008) 304-317