Design of Multi-drilling Gear Machines by Knowledge Processing and Machine Simulation

Authors:
Georg Klene;Adolf Grauel;Harold J. Convey;Andrew J. Hartley
Affiliations:
-;-;-;-
Venue:
IDEAL '02 Proceedings of the Third International Conference on Intelligent Data Engineering and Automated Learning
Year:
2002

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Abstract

A software concept for automated design of a multi-spindle drilling gear machine used in furniture production process is proposed. To find an optimised design of the target-machine, this means to find the minimum number of supports and gears as well as the optimised configuration of the multi-spindle drilling gears, an automated system based on pattern identification, knowledge discovery and automated decision process is explained. The transfer of acquired manual design experience from the human expert to a software strategy to solve the multi-criteria optimisation problem will achieve cost reductions during the machine design.