Composite materials provide distinctive advantages in manufacture of advanced products because of attractive features such as high strength and light weight, but on the other hand machining of composite materials is difficult to carry out due to the anisotropic and non-homogeneous structure of composites and to the high abrasiveness of their reinforcing constituents. This typically results in damage being introduced into the workpiece and in very rapid wear development in the cutting tool. Conventional machining process such as drilling can be applied to composite materials, provided proper tool design and operating conditions are adopted. In this paper, A genetic algorithm (GA) based optimization procedure has been developed to optimize two factors, material removal rate; and delamination factor, using multi-objective function model with a weighted approach for the productivity, and superficial quality. An a posteriori approach was used to obtain a set of optimal solutions. An application sample was developed and its results were analyzed for several different production conditions. Finally, the obtained outcomes were arranged in graphical form and analyzed to make the proper decision for different process preferences. This paper also remarks the advantages of multi-objective optimization approach over the single-objective one.
Skip Nav Destination
ASME 2010 International Mechanical Engineering Congress and Exposition
November 12–18, 2010
Vancouver, British Columbia, Canada
Conference Sponsors:
- ASME
ISBN:
978-0-7918-4427-4
PROCEEDINGS PAPER
Genetic Algorithm Based Optimization of Cutting Parameters in Drilling of Composite Materials Available to Purchase
Hamidreza Namazi
Hamidreza Namazi
Nanyang Technological University, Singapore
Search for other works by this author on:
Hamidreza Namazi
Nanyang Technological University, Singapore
Paper No:
IMECE2010-37804, pp. 173-178; 6 pages
Published Online:
April 30, 2012
Citation
Namazi, H. "Genetic Algorithm Based Optimization of Cutting Parameters in Drilling of Composite Materials." Proceedings of the ASME 2010 International Mechanical Engineering Congress and Exposition. Volume 3: Design and Manufacturing, Parts A and B. Vancouver, British Columbia, Canada. November 12–18, 2010. pp. 173-178. ASME. https://doi.org/10.1115/IMECE2010-37804
Download citation file:
14
Views
Related Proceedings Papers
Related Articles
Chisel Edge and Pilot Hole Effects in Drilling Composite Laminates
J. Manuf. Sci. Eng (May,2002)
Multi-Objective Optimization of Convective Heat Transfer for a Composite Internal and Film Cooling Structure
J. Heat Mass Transfer (March,2023)
Related Chapters
GA Based Multi Objective Optimization of the Predicted Models of Cutting Temperature, Chip Reduction Co-Efficient and Surface Roughness in Turning AISI 4320 Steel by Uncoated Carbide Insert under HPC Condition
Proceedings of the 2010 International Conference on Mechanical, Industrial, and Manufacturing Technologies (MIMT 2010)
A Collaborative Framework for Distributed Multiobjective Combinatorial Optimization
International Conference on Computer and Computer Intelligence (ICCCI 2011)
A New Metaheuristic Based on Deterministic Finite Automaton for Multi-Objective Optimization of Combinatorial Problems
International Conference on Computer and Computer Intelligence (ICCCI 2011)