Optimization of weld bead geometry in plasma transferred arc hardfaced austenitic stainless steel plates using genetic algorithm

Plasma transferred arc hardfacing has attracted increasing attention for its effective protection against corrosion, thermal shock, and abrasion. The quality of hardfaced components depends on the weld bead geometry and dilution, which have to be properly controlled and optimized to ensure better ec...

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Bibliographic Details
Published inInternational journal of advanced manufacturing technology Vol. 41; no. 1-2; pp. 24 - 30
Main Authors Siva, K., Murugan, N., Logesh, R.
Format Journal Article
LanguageEnglish
Published London Springer-Verlag 01.03.2009
Springer Nature B.V
Subjects
Abrasion
Austenitic stainless steels
CAE) and Design
Computer-Aided Engineering (CAD
Correlation analysis
Corrosion prevention
Dilution
Engineering
Genetic algorithms
Geometry
Hard surfacing
Industrial and Production Engineering
Mathematical analysis
Matrix methods
Mechanical Engineering
Mechanical properties
Media Management
Multiple regression analysis
Nickel base alloys
Optimization
Original Article
Plasma arc surfacing
Process parameters
Regression analysis
Stainless steel
Steel plates
Thermal shock
Welding parameters
Dilution
PTA hardfacing
Regression analysis
Genetic algorithm
Optimization
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Summary:Plasma transferred arc hardfacing has attracted increasing attention for its effective protection against corrosion, thermal shock, and abrasion. The quality of hardfaced components depends on the weld bead geometry and dilution, which have to be properly controlled and optimized to ensure better economy and desirable mechanical characteristics of the weld. These objectives can be fulfilled by developing mathematical equations to predict the dimensions of the weld bead. This paper highlights the development of such mathematical equations using multiple regression analysis, correlating various process parameters to weld bead geometry in PTA hardfacing of Colmonoy 5, a nickel-based alloy over stainless steel 316 L plates. The experiments were conducted based on a five factor, five level central composite rotatable design matrix. A genetic algorithm (GA) was developed to optimize the process parameters for achieving the desired bead geometry variables.
ISSN:0268-3768
1433-3015
DOI:10.1007/s00170-008-1451-3