scholarly journals Microstructure and Microhardness of Ti6Al4V Alloy Treated by GTAW SiC Alloying

2012 ◽  
Vol 12 (2) ◽  
pp. 261-266 ◽  
Author(s):  
W. Bochnowski
Keyword(s):  
Surface Layer ◽  
Arc Welding ◽  
Electric Arc ◽  
Ti6al4v Alloy ◽  
Ti6al4v Titanium Alloy ◽  
Conventional Heat Treatment ◽  
Crystalline Fracture ◽  
Scan Speed ◽  
Electric Arc Welding ◽  
Scanning Electron

Microstructure and Microhardness of Ti6Al4V Alloy Treated by GTAW SiC Alloying In this work, the change of the structure and microhardness of Ti6Al4V titanium alloy after remelting and remelting with SiC alloing by electric arc welding (GTAW method) was studied. The current intensity equal 100 A and fixed scan speed rate equal 0,2 m/min has been used to remelting surface of the alloy. Change of structure were investigated by optical and scanning electron microscopy. Microhardness test showed, that the remelting of the surface does not change the hardness of the alloy. Treated by GTAW SiC alloying leads to the formation of hard (570 HV0, 1) surface layer with a thickness of 2 mm. The resulting surface layer is characterized by diverse morphology alloyed zone. The fracture of alloy after conventional heat treatment, similarly to fracture after remelting with GTAW is characterized by extremely fine dimples of plastic deformation. In the alloyed specimens the intergranular and crystalline fracture was identified.

Electric arc welding and surfacing in repair of rails of Kyiv underground

2018 ◽  
Vol 2018 (2) ◽  
pp. 30-33
Author(s):  
G.V. Kuzmenko ◽  
◽  
V.M. Taganovsky ◽  
V.L. Sidorenko ◽  
◽  
...  
Keyword(s):  
Arc Welding ◽  
Electric Arc ◽  
Electric Arc Welding

Data Mining for ERW Welded Tube Scheduling Rules Based on Decision Tree

2011 ◽  
Vol 403-408 ◽  
pp. 1804-1807
Author(s):  
Ning Zhao ◽  
Shao Hua Dong ◽  
Qing Tian
Keyword(s):  
Data Mining ◽  
Decision Tree ◽  
Arc Welding ◽  
Data Cleaning ◽  
Data Extraction ◽  
Electric Arc ◽  
Welded Tube ◽  
Electric Arc Welding ◽  
Decision Tree Method ◽  
Tree Method

In order to optimize electric- arc welding （ERW） welded tube scheduling , the paper introduces data cleaning, data extraction and transformation in detail and defines the datasets of sample attribute, which is based on analysis of production process of ERW welded tube. Furthermore, Decision-Tree method is adopted to achieve data mining and summarize scheduling rules which are validated by an example.

THE CONCEPT OF MODERN METAL STRUCTURE PRODUCTION BY ELECTRIC ARC WELDING METHODS

Vestnik LSTU ◽  
2020 ◽  
pp. 74-81
Author(s):  
A.S. Babkin ◽  
Y. Chang ◽  
I.A. Babkin ◽  
B. Lee
Keyword(s):  
Arc Welding ◽  
Metal Structure ◽  
Electric Arc ◽  
Electric Arc Welding

Guidance and stabilisation of electric arc welding using Nd:YAG laser radiation

2008 ◽  
Author(s):  
Jörg Hermsdorf ◽  
Andreas Ostendorf ◽  
Christian Stahlhut ◽  
Alexander Barroi ◽  
Frank Otte ◽  
...  
Keyword(s):  
Laser Radiation ◽  
Nd:Yag Laser ◽  
Arc Welding ◽  
Electric Arc ◽  
Electric Arc Welding

RESTORATION OF WORN SURFACES FROM CAST IRON AND STEEL PARTS BY ELECTRIC ARC WELDING WITH FERROMAGNETIC CHARGE

2020 ◽  
Vol 4 (2) ◽  
pp. 112-116
Author(s):  
V.G. VYALKOV ◽  
S.N. GLAZUNOV ◽  
P.A. TSIRKOV
Keyword(s):  
Heat Treatment ◽  
Cast Iron ◽  
Arc Welding ◽  
Surface Hardness ◽  
Electric Arc ◽  
Subsequent Heat Treatment ◽  
Iron And Steel ◽  
Electric Arc Welding ◽  
Worn Surfaces

In experiment, worked out the parameters of deposition and the composition of the ferromagnetic charge, which ensure a defect-free weld layer (no pores, inclusions, hot and cold cracks) with a surface hardness of 52- 56 HRC without additional technological measures (heating products) and subsequent heat treatment.

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