Interactive and Collaborative Virus-Evolutionary CNC Machining Optimization Environment-Reference-Cited by-同舟云学术

Interactive and Collaborative Virus-Evolutionary CNC Machining Optimization Environment

Published: Issue: Volume: Page:110-141
ISSN:2326-6139
Container-title:Robotics, Automation, and Control in Industrial and Service Settings
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Author:

Fountas N. A.¹,Vaxevanidis N. M.¹,Stergiou C. I.²,Benhadj-Djilali R.³

Affiliation:

1. School of Pedagogical and Technological Education, Greece

2. Piraeus University of Applied Sciences, Greece

3. Kingston University, UK

Abstract

Research on the area of sculptured surface machining optimization is currently directed towards the implementation of artificial intelligence techniques. This chapter aims at presenting a novel approach of optimizing machining strategies applied to manufacture complex part geometries. Towards this direction a new genetic-evolutionary algorithm based on the virus theory of evolution is developed as a hosted module to a commercial and widely known CAM system. The new genetic algorithm automatically evaluates pairs of candidate solutions among machining parameters for roughing and finishing operations so as to optimize their values for obtaining optimum machining programs for sculptured parts in terms of productivity and quality. This is achieved by introducing new directions of manipulating manufacturing software tools through programming and customization. The environment was tested for its efficiency and has been proven capable of providing applicable results for the machining of sculptured surfaces.

Publisher

IGI Global

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