Task Distribution and Lumped Parameter Modeling in Multi-Disciplinary Product Development

From Tetherless World Wiki

Jump to: navigation, search

KSL-99-10 +  redirect page

Task Distribution and Lumped Parameter Modeling in Multi-Disciplinary Product Development +  Has identifier

Task Distribution and Lumped Parameter Modeling in Multi-Disciplinary Product Development +  Ksl tr id

Task Distribution and Lumped Parameter Modeling in Multi-Disciplinary Product Development

Bibtype  inproceedings

Has publishing details  June,1999

Has title  Task Distribution and Lumped Parameter Modeling in Multi-Disciplinary Product Development

Has where published  Knowledge Systems, AI Laboratory

Has year  1999

Title  Task Distribution and Lumped Parameter Modeling in Multi-Disciplinary Product Development

Year  1999

Abstract  Present day electromechanical product desi Present day electromechanical product design requires multi disciplinary design teams who have to perform complex synthesis, analysis, and control tasks to ensure desirable functional and performance characteristics for the products. In each stage of design, specialized tools are utilized to optimize design efficiency and product performance. Such tools tend to be used individually in an ad hoc manner. Moreover, the lack of uniform representations and the non availability of specific design data make it difficult for the different design groups to interact effectively and use the different design tools in an integrated fashion. This hinders the generation of globally optimal designs.Typically design engineers construct Finite Element Methodology models (FEM models) for detailed analysis of phenomena in their individual domains (e.g., mechanical, thermal, etc.). In this paper, we argue the necessity for building more abstract lumped parameter models from distributed FEM models to facilitate model sharing and communication across multiple design teams. We describe a set of techniques for building lumped parameter system models from more detailed distributed models, and demonstrate their application in design problem solving. Finally, we propose the application of design-of-experience (DOE) and the Mahalanobis-Taguchi-System (MTS) with lumped parameter models. System (MTS) with lumped parameter models.

Note  Proc. 1999 American Control Conference, pp. 3147-3153, San Diego, CA, June 2-4, 1999.

Address  San Diego, CA +

Author  M. Ozawa and Gautam Biswas and L. Zhu +

Booktitle  Knowledge Systems, AI Laboratory +

Has author  M. Ozawa and Gautam Biswas and L. Zhu +

Has identifier  Task Distribution and Lumped Parameter Modeling in Multi-Disciplinary Product Development +

Ksl tr id  Task Distribution and Lumped Parameter Modeling in Multi-Disciplinary Product Development +

Month  June +

Process note  NO +

Categories  InProceedings +, KSL Technical Report +, Publication +

 

Enter the name of the page to start browsing from.
Views
Personal tools