Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
10673309 | CIRP Annals - Manufacturing Technology | 2015 | 4 Pages |
Abstract
Prospectively, the machine should utilize an algorithm that autonomously identifies optimal parameter configurations for new workpieces to realize fast setup procedures. This paper presents a genetic algorithm for a self-learning feeding system that has been validated in comprehensive simulation studies.
Keywords
Related Topics
Physical Sciences and Engineering
Engineering
Industrial and Manufacturing Engineering
Authors
Jan Busch, Melissa Quirico, Lukas Richter, Matthias Schmidt, Annika Raatz, Peter Nyhuis,