CNC Milling Toolpath Generation Using Genetic Algorithms


File Size: 4.17 mb

Description
The prevalence of digital manufacturing in creating increasingly complex products with small batch sizes, requires e ective methods for production process planning. Toolpath generation is one of the challenges for manufacturing technologies that function based on the controlled movement of an end e ector against a workpiece. The current approaches for determining suitable tool paths are highly dependent on machine structure, manufacturing technology and product geometry. This dependence can be very expensive in a volatile production environment where the products and the resources change quickly. In this research, a novel approach for the  exible generation of toolpaths using a mathematical formulation of the desired objective is proposed. The approach, based on optimisation techniques, is developed by discretising the product space into a number of grid points and determining the optimal sequence of the tool tip visiting these points. To demonstrate the e ectiveness of the approach, the context of milling machining has been chosen and a genetic algorithm has been
developed to solve the optimisation problem. The results show that with meta heuristic methods,  exible tool paths can indeed be generated for industrially relevant parts using existing computational power. Future computing platforms, including quantum computers, could extend the applicability of the proposed approach to much more complex domains for instantaneous optimisation of the detailed manufacturing process plan.


Content:-
Abstract
Acknowledgements
Contents
List of Figures
List of Tables
Glossary
1. Introduction
2. Toolpath Generation for CNC Milling
3. Theoretical Framework
4. Creating a Computational Platform for Generating Optimised Toolpaths
5. Design of Test Cases for Validation
6. Machining Results with Comparison to Established Algorithms
7. Discussion
8. Conclusion and Future Work
References
9. Appendix


Author Details
"Wesley P. Essink" 
A thesis submitted for the degree of Doctor of Philosophy
University of Bath
Department of Mechanical Engineering




Download Drive-1

You May Also Like:-

No comments:

Post a Comment