Home»Articles»Optimization of Weld Bead Geometry in Gas Metal Arc Cladded Austenitic Stainless Steel Plates Using Genetic Algorithm
Optimization of Weld Bead Geometry in Gas Metal Arc Cladded Austenitic Stainless Steel Plates Using Genetic Algorithm
Author : P. Sreeraj, T.Kannan and Subhasis MajiVolume 2 No.1 January-June 2013 pp 7-15
Abstract
Gas metal arc welding (GMAW) process has attracted increasing attention in industry because of high reliability, easiness in operation, high penetration good surface finish and high productivity. The quality of gas metal arc welding (GMAW) components depends on weld bead geometry and dilution. Cladding process, this is widely used in industries for preventing corrosion. For cladding GMAW process, is mostly used. For economising the operation bead geometry and dilution must be optimized. These objectives can be achieved by developing mathematical equations using multiple regression analysis. The experiments were conducted based on a five factor five level central composite rotatable design matrix. A genetic algorithm (GA) was developed to optimize various process parameters for achieving desired weld bead geometry.
Keywords
GMAW, Weld bead geometry, GA
References
Asian Review of Mechanical Engineering (ARME) is a half-yearly international peer-reviewed journal of Mechancial Engineering. One of the objectives of this journal is to disseminate knowledge on various research issues connected with the topics include, but are not limited to:
Statics and dynamics
Strength of materials and solid mechanics
Instrumentation and measurement
Thermodynamics, heat transfer, energy conversion, and HVAC
Combustion, automotive engines, fuels
Fluid mechanics and fluid dynamics
Mechanism design (including kinematics and dynamics)
Manufacturing engineering, technology, or processes
Hydraulics and pneumatics
Engineering design
Product design
Mechatronics and control theory
Material Engineering
Design engineering, Drafting, Computer-Aided Design (CAD) (including solid modeling), and Computer-Aided Manufacturing (CAM)
Gas metal arc welding (GMAW) process has attracted increasing attention in industry because of high reliability, easiness in operation, high penetration good surface finish and high productivity. The quality of gas metal arc welding (GMAW) components depends on weld bead geometry and dilution. Cladding process, this is widely used in industries for preventing corrosion. For cladding GMAW process, is mostly used. For economising the operation bead geometry and dilution must be optimized. These objectives can be achieved by developing mathematical equations using multiple regression analysis. The experiments were conducted based on a five factor five level central composite rotatable design matrix. A genetic algorithm (GA) was developed to optimize various process parameters for achieving desired weld bead geometry.
Editor-in-Chief
Dr. Nukman Bin Yusoff
Department Of Mechanical Engineering, University of Malaya, Malaysia
[email protected]
Editorial Advisory Board
Prof.Kevser Dincer
Department of Mechanical Engineering, Selçuk University, Turkey
[email protected]
Dr. Kazi Md. Salim Newaz
Department of Mechanical Engineering, University of Malaya, Malaysia
[email protected]
Prof.H.P.S Abdul Khalil
School of Industrial Technology, Universiti Sains Malaysia, Malaysia
[email protected]
Dr. Ong Hwai Chyuan
Department of Mechanical Engineering, University of Malaya, Malaysia
[email protected]
Prof.Parviz Malekzadeh
Department of Mechanical Engineering, Persian Gulf University, Iran
[email protected]
Dr. Mohd Faizul Bin Mohd Sabri
Department Of Mechanical Engineering, University of Malaya, Malaysia
[email protected]
Dr. Chong Wen Tong
Department Of Mechanical Engineering, University of Malaya, Malaysia
[email protected]
Dr. Mohd Ridha Bin Muhamad
Department of Mechanical Engineering, University of Malaya, Malaysia
[email protected]
Dr. Khoo Shin Yee
Department of Mechanical Engineering, University of Malaya, Malaysia
[email protected]
Dr. Chew Bee Teng
Department of Mechanical Engineering, University of Malaya, Malaysia
[email protected]
Dr. Liew Haw Ling
Department of Mechanical Engineering, University of Malaya, Malaysia
[email protected]
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Table of Contents
Editorial Note
Editor-in-Chief
Dr. Nukman Bin Yusoff
Department Of Mechanical Engineering, University of Malaya, Malaysia
[email protected]
Editorial Advisory Board
Prof.Kevser Dincer
Department of Mechanical Engineering, Selçuk University, Turkey
[email protected]
Dr. Kazi Md. Salim Newaz
Department of Mechanical Engineering, University of Malaya, Malaysia
[email protected]
Prof.H.P.S Abdul Khalil
School of Industrial Technology, Universiti Sains Malaysia, Malaysia
[email protected]
Dr. Ong Hwai Chyuan
Department of Mechanical Engineering, University of Malaya, Malaysia
[email protected]
Prof.Parviz Malekzadeh
Department of Mechanical Engineering, Persian Gulf University, Iran
[email protected]
Dr. Mohd Faizul Bin Mohd Sabri
Department Of Mechanical Engineering, University of Malaya, Malaysia
[email protected]
Dr. Chong Wen Tong
Department Of Mechanical Engineering, University of Malaya, Malaysia
[email protected]
Dr. Mohd Ridha Bin Muhamad
Department of Mechanical Engineering, University of Malaya, Malaysia
[email protected]
Dr. Khoo Shin Yee
Department of Mechanical Engineering, University of Malaya, Malaysia
[email protected]
Dr. Chew Bee Teng
Department of Mechanical Engineering, University of Malaya, Malaysia
[email protected]
Dr. Liew Haw Ling
Department of Mechanical Engineering, University of Malaya, Malaysia
[email protected]
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