Optimization of gas metal arc welding parameters for dissimilar steel welds: A case study on duplex stainless steel 2205 and stainless steel 316L

被引:0
|
作者
Sengottaiyan, Veerakumar [1 ]
Kasilingam, Krishnamurthy [2 ]
Balasubramaniam, Meenakshipriya [2 ]
Munimathan, Arunkumar [3 ]
机构
[1] Sri Ramakrishna Inst Technol, Dept Mech Engn, Coimbatore 641010, India
[2] Kongu Engn Coll, Dept Mechatron Engn, Erode, India
[3] Hindusthan Coll Engn & Technol, Dept Mechatron Engn, Coimbatore, India
关键词
Dissimilar steel welds; optimization; corrosion resistance; gas metal arc welding; microstructure analysis;
D O I
10.1177/09544089241272807
中图分类号
TH [机械、仪表工业];
学科分类号
0802 ;
摘要
The significance of welded connections in steel structures necessitates precise structural designs and processing adaptations to ensure robust mechanical strength and durability. Gas metal arc welding (GMAW) employing controlled curves presents advantages over conventional methods, offering enhanced weld bead properties, improved aesthetics, and reduced thermal inputs. This research investigates the impact of GMAW parameters using controlled curves on the microstructure and geometry of welds between dissimilar structural steels-duplex stainless steel 2205 and stainless steel 316L grade 50-commonly employed in construction. The aim is to optimize the GMAW welding process with controlled curves and surface tension transfer between these dissimilar steels. Through a 23-factorial experimental design encompassing feed speed (Va), arc focus (FC), and peak-to-base amplitude (APB), the study examines welding energy, geometry, deposition efficiency, microstructure, microhardness, tensile strength, and corrosion properties. Optimal welding energy fosters refined microstructures and uniform hardness, aiding in predicting weld throat area. Higher energy levels expand the heat-affected zone and coarse grains, while lower energies escalate variability. Predictive models facilitate fine-tuning welding energy and throat area for desirable properties and penetration while minimizing disruptions. This process optimization can be achieved by employing derived equations that limit welding energy and curve parameters, striking a desired balance between cost, structural integrity, and reliability.
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页数:10
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