Towards a knowledge based framework for numerical design of experiment optimization and management

ABSTRACT

Numerical Design of Experiment (DoE) is a powerful tool for product development, used to improve product quality and robustness. However, the simulation process can be highly extended by the DoE process. While methods have been developed to shorten the execution of numerical DoE, the time needed to set up the numerical DoE process is longer and longer. This paper presents a description of the objectives and first results of the SDM4DOE project (Simulation Data Management for Design of Experiment). This project aims to define a set of tools and methods to improve the simulation process involving DoE: data management, data robustness improvement and process shortening. A knowledge-based approach is proposed to solve this main issue, based on a specific knowledge representation.

GRAPHICAL ABSTRACT

KEYWORDS:

• Knowledge management
• adaptive design of experiment
• simulation data management
• knowledge-based system

Acknowledgement

This work is funded by the French FUI project SDM4DOE and labelised by French competitiveness clusters SYSTEMATIC and ID4CAR. We also thank all consortium partners for their contribution during the development of ideas and concepts proposed in this paper. http://www.id4car.org/SDM4DOE.html

ORCID

Gaëtan Blondet http://orcid.org/0000-0003-3225-0277

Farouk Belkadi http://orcid.org/0000-0003-2783-4147

Julien Le Duigou http://orcid.org/0000-0001-8723-2506