scholarly journals Multivariate Stochastic Optimization Approach Applied in a Flux-Cored Arc Welding Process

IEEE Access ◽  
2020 ◽  
Vol 8 ◽  
pp. 61267-61276 ◽  
Author(s):  
Alexandre F. Torres ◽  
Franco B. Rocha ◽  
Fabricio A. Almeida ◽  
Jose H. F. Gomes ◽  
Anderson P. Paiva ◽  
...  
Keyword(s):  
Stochastic Optimization ◽  
Arc Welding ◽  
Welding Process ◽  
Optimization Approach ◽  
Flux Cored Arc Welding ◽  
Arc Welding Process

A study on quality of weld in flux cored arc welding process

2014 ◽  
Vol 4 (1/2) ◽  
pp. 81
Author(s):  
Binoy K. Biswas ◽  
Asish Bandyopadhyay ◽  
Pradip K. Pal
Keyword(s):  
Arc Welding ◽  
Welding Process ◽  
Flux Cored Arc Welding ◽  
Arc Welding Process

Optimization of Flux Cored Arc Welding Process Parameter Using Genetic and Memetic Algorithms

2013 ◽  
Vol 13 (4) ◽  
pp. 239-250 ◽  
Author(s):  
T. Kannan ◽  
N. Murugan ◽  
B. N. Sreeharan
Keyword(s):  
Arc Welding ◽  
Welding Process ◽  
Memetic Algorithms ◽  
Optimization Techniques ◽  
Low Carbon ◽  
Robotic Welding ◽  
Bead Width ◽  
Flux Cored Arc Welding ◽  
Arc Welding Process ◽  
Welding Processes

AbstractMost of the manufacturing enterprises indulge in the bonding of metals during the production process. This makes welding one of the most important processes in industries. Subsequently, due to the high usage of welding process, industrial engineers desire to optimize the parameters concerned to achieve the desired weld bead characteristics. This paper focuses on optimization of flux cored arc welding process parameters, which are used for deposition of duplex stainless steel on low carbon structural steel plates. Experiments were conducted based on central composite rotatable design and mathematical models were developed using multiple regression method. Further, optimization with objectives as minimizing percentage dilution, maximizing height of reinforcement and bead width was carried out using genetic algorithm and memetic algorithm. This problem was formulated as a multi objective, multivariable and non-linear programming problem. The algorithms were implemented using basic functions of C language making it highly reliable, adoptable, very user friendly and extendable to other welding processes such as GMAW, GTAW, robotic welding, etc. The adopted optimization techniques were further compared based on various computational factors.

Investigation of Microstructure and Hardness Properties of Hardfacing Surface on SCM 440 Alloy Steel by Using Metal Active Gas and Flux Cored Arc Welding Processes

2017 ◽  
Vol 728 ◽  
pp. 31-35 ◽  
Author(s):  
Siva Sitthipong ◽  
Prawit Towatana ◽  
Amnuay Sitticharoenchai
Keyword(s):  
Alloy Steel ◽  
Arc Welding ◽  
Welding Process ◽  
High Strength ◽  
Side Plate ◽  
Weld Metals ◽  
Flux Cored Arc Welding ◽  
The Difference ◽  
Arc Welding Process ◽  
Welding Processes

This research aimed to investigate the microstructure and hardness properties of hardfacing surface on SCM440 alloy steel by using metal active gas and flux cored arc welding processes. Due to the difficulty of welding the high strength steel, the changes in base metals’ microstructures were found after welding. Preheating the specimens at 350°C and post weld heat treatment the specimens at 550°C were performed for 1 hour, to reduce the residual stresses and avoid the undesired formation of microstructures. The weld metals’ microstructures that were found from both welding processes are acicular ferrite, polygonal ferrite and side plate ferrite. The hardness value of weld metal resulted from flux cored arc welding process is higher than that of the metal active gas welding process. Each welding process produced different quantities of weld metals’ microstructures, causing the difference in hardness values. The data will be used for investigating and improving parameters of shaft repairing, in order to use it more effectively.

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