Knowledge-Based Modeling of Manufacturing Aspects in Structural Optimization Problems

Martin Huber; Ö. Petersson; H. Baier

doi:10.4028/www.scientific.net/AMR.43.111

Paper Titles

Optimization of the Die Topology in Extrusion Processes
p.81

Dynamics and Temperature Simulation in Multi-Axis Milling
p.89

Experimental and Computational Analysis of Machining Processes for Light-Weight Aluminium Structures
p.97

Approach for Modelling Process Effects during Friction Stir Welding of Composite Extruded Profiles
p.105

Knowledge-Based Modeling of Manufacturing Aspects in Structural Optimization Problems
p.111

An Approach to Accuracy Improvements in the Flexible Machining of Curved Profiles
p.123

Accuracy Improvement of a Machine Kinematics for the Product Flexible Machining of Curved Extrusion Profiles
p.135

Mechanical Modelling of Wire Reinforced Metal Matrix Extrusion Profiles
p.145

A Modelling Approach for the Manufacturing Process Chain of Composite Lightweight Structures
p.157

HomeAdvanced Materials ResearchAdvanced Materials Research Vol. 43Knowledge-Based Modeling of Manufacturing Aspects...

Knowledge-Based Modeling of Manufacturing Aspects in Structural Optimization Problems

Abstract:

In this paper we present a method for the multidisciplinary optimization of structures including qualitative expert knowledge. In addition to multi objective and discrete tasks, which are solved with a genetic algorithm, mainly expert knowledge and experience is available for certain influences in early design stages. Fuzzy Rule Based Systems (FRBS) provide a powerful tool to model such influences via qualitative human knowledge. Based on this idea, a method for building qualitative, knowledge based models has been developed at the institute and enhanced. As an example, structural components constructed from composite aluminum profiles with embedded continuous reinforcing elements have been optimized.

By email View Pdf

You have full access to the following eBook