Model-based expert system to automatically adapt milling forces in Pareto optimal multi-objective working points

Author:

Rubio Luis,De la Sen Manuel,Longstaff Andrew P.,Fletcher Simon

Funder

the UK’s Engineering

Physical Science Research Council (EPSRC)

EPRSC Centre for Innovative Manufacturing in Advance Metrology

Publisher

Elsevier BV

Subject

Artificial Intelligence,Computer Science Applications,General Engineering

Reference48 articles.

1. Prediction of tool life in end milling by response surface methodology;Alauddin;Journal of Materials Processing Technology,1997

2. Cooperation between expert knowledge and data mining discovered knowledge: Lessons learned;Alonso;Expert Systems with Applications,2012

3. Prediction of cutting forces and tool breakage from feed drive current measurements;Altintas;Journal of Engineering for Industry,1992

4. Manufacturing automation;Altintas,2000

5. Adaptive control optimization of cutting parameters for high quality machining operations based on neural networks and search algorithms;Avellan;Advance in Robotics, Automation and Control, I –Tech Vienna, Austria,2008

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