Effect of friction welding parameters and heat treatment on the quality of welded joints in creep-resisting deformable nickel alloys

2012 ◽  
Vol 26 (9) ◽  
pp. 728-731 ◽  
Author(s):  
V. I. Lukin ◽  
V. G. Koval'chuk ◽  
M. L. Samorukov ◽  
Yu. M. Gridnev ◽  
I. P. Zhegina ◽  
...  
Keyword(s):  
Heat Treatment ◽  
Welded Joints ◽  
Friction Welding ◽  
Nickel Alloys ◽  
Welding Parameters

Influence of Rotary Friction Welding Parameters on Tensile Strength and Length of TMAZ of Dissimilar Welded Joints from 32G2 and 40KhN Steels

2021 ◽  
Vol 410 ◽  
pp. 299-305
Author(s):  
Artem S. Atamashkin ◽  
Elena Y. Priymak ◽  
Elena A. Kuzmina
Keyword(s):  
Tensile Strength ◽  
Base Metal ◽  
Process Parameters ◽  
Welded Joints ◽  
Friction Welding ◽  
Tensile Tests ◽  
Welding Parameters ◽  
Rotary Friction Welding ◽  
Study Results ◽  
Friction Pressure

In this work, pipe billets with a diameter of 73 mm and a wall thickness of 9 mm from steels 32G2 and 40KhN are friction welded with an aim to optimize the process parameters. The friction pressure, the forging pressure and the length of the fusion varied. After the implementation of various welding modes, tensile tests and metallographic studies were carried out. The optimal welding parameters have been established, which make it possible to obtain tensile strength at the level of the 32G2 base metal. The study results of the microstructure and SEM fractographs after the optimal welding mode are presented.

scholarly journals Upset Prediction in Friction Welding Using Radial Basis Function Neural Network

2013 ◽  
Vol 2013 ◽  
pp. 1-9
Author(s):  
Wei Liu ◽  
Feifan Wang ◽  
Xiawei Yang ◽  
Wenya Li
Keyword(s):  
Neural Network ◽  
Finite Element ◽  
Radial Basis Function ◽  
Basis Function ◽  
Welded Joints ◽  
Friction Welding ◽  
Rbf Neural Network ◽  
Finite Element Simulations ◽  
Welding Parameters ◽  
Radial Basis

This paper addresses the upset prediction problem of friction welded joints. Based on finite element simulations of inertia friction welding (IFW), a radial basis function (RBF) neural network was developed initially to predict the final upset for a number of welding parameters. The predicted joint upset by the RBF neural network was compared to validated finite element simulations, producing an error of less than 8.16% which is reasonable. Furthermore, the effects of initial rotational speed and axial pressure on the upset were investigated in relation to energy conversion with the RBF neural network. The developed RBF neural network was also applied to linear friction welding (LFW) and continuous drive friction welding (CDFW). The correlation coefficients of RBF prediction for LFW and CDFW were 0.963 and 0.998, respectively, which further suggest that an RBF neural network is an effective method for upset prediction of friction welded joints.

scholarly journals Microstructure and Residual Stresses of AA2519 Friction Stir Welded Joints under Different Heat Treatment Conditions

Materials ◽  
2020 ◽  
Vol 13 (4) ◽  
pp. 834
Author(s):  
Lucjan Śnieżek ◽  
Robert Kosturek ◽  
Marcin Wachowski ◽  
Bogusz Kania
Keyword(s):  
Heat Treatment ◽  
Residual Stresses ◽  
Welded Joints ◽  
Precipitation Hardening ◽  
Cold Water ◽  
Traverse Speed ◽  
Welding Parameters ◽  
X Ray ◽  
Friction Stir ◽  
Treatment Conditions

The aim of this research was to investigate the effect of different heat treatment conditions of AA2519 friction stir welded joints on their microstructure and residual stresses. The following welding parameters have been used: 500 rpm tool rotation speed, 150 mm/min tool traverse speed, tool tilt angle 2°, pressure force 17 kN. The welded material was investigated in three different configurations: HT0, HT1, and HT2. The first type of weld (HT-0) was made using AA2519 alloy in non-precipitation hardened state and examined in such condition. The second type of weld (HT-1) has been performed on AA2519-T62, that corresponds to precipitation hardening condition. The last type of weld (HT2) was performed on annealed AA2519 and the obtained welds were subjected to the post-weld precipitation hardening process. The heat treatment was carried out in two stages: solution heat treatment (530 °C/2 h + cooling in cold water) and aging (165 °C/1 0 h). Residual stresses were measured using X-Ray diffraction patterns obtained from Bruker D8 Discover X-ray diffractometer utilizing the concepts of Euler cradle and polycapillary primary beam optics. The conducted research indicates that the best material properties: homogenous microstructure and uniform distribution of microhardness and compressive state of residual stresses were obtained for the HT-2 series samples subjected to heat treatment after the friction stir welding (FSW) process.

scholarly journals Influence of welding method on microstructural creation of welded joints  

2011 ◽  
Vol 57 (Special Issue) ◽  
pp. S50-S56 ◽  
Author(s):  
P. Čičo ◽  
D. Kalincová ◽  
M. Kotus
Keyword(s):  
Welded Joints ◽  
Arc Welding ◽  
Welded Joint ◽  
Gas Metal Arc Welding ◽  
Structural Phase ◽  
Welding Parameters ◽  
Welding Method ◽  
Welding Technology ◽  
Metal Arc Welding

This paper is focused on the analysis of the welding technology influence on the microstructure production and quality of the welded joint. Steel of class STN 41 1375 was selected for the experiment, the samples were welded by arc welding including two methods: a manual one by coated electrode and gas metal arc welding method. Macro and microstructural analyses of the experimental welded joints confirmed that the welding parameters affected the welded joint structure in terms of the grain size and character of the structural phase.

Using of Welding Virtual Numerical Simulation as the Technical Support for Industry

2016 ◽  
Vol 1138 ◽  
pp. 49-55
Author(s):  
Marek Slováček ◽  
Josef Tejc ◽  
Mojmír Vaněk
Keyword(s):  
Numerical Simulation ◽  
Numerical Simulations ◽  
Welded Joints ◽  
Welding Process ◽  
Austenitic Steels ◽  
Welding Parameters ◽  
Efficient Production ◽  
Weld Joints ◽  
Mechanical Properties Prediction

Welding as a modern, highly efficient production technology found its position in almost all industries. At the same time the demands on the quality of the welded joints have been constantly growing in all production areas. Great demand on the quality of the welded joints consequently causes more experimental or prototype – so called – validation joints that take place before the welding of final construction. These experiments, prototypes aim at – for instance – defining the appropriate welding technology, material, pre-heating, welding parameters, clamping condition and optimizing the welding process. Naturally, these experiments and prototypes make production more expensive. Numerical simulations of welding – in the area of production preparation as well as of production proper – have been frequently used recently. Numerical simulations supported by experimental measurements can simulate the actual welding process very close to reality. The new material models for hardness and mechanical properties prediction based on numerical simulation solution will be introduced.The paper covers some typical welding cases from energy industrial sector. The homogenous and heterogeneous weld joints from modern energy Cr-Mo-Ni-V steels (including modern austenitic steels) were done as prototype welding. The numerical simulation of these weld joints including post weld heat treatment process were done and welding technologies were optimised based on the numerical simulation results. The calculated hardness was compared with real measurements. During project the complete material properties which are needed for numerical simulation were measured. Simplify numerical lifetime prediction of weld joints including results from numerical welding analyse (as residual stresses and plastic deformation) were done.

scholarly journals Optimization of Metal Inert Gas Welding Process during Joining of Structural Steels- An Overview

2020 ◽  
Vol 184 ◽  
pp. 01028
Author(s):  
Ravindra Kumar Misra ◽  
Rajesh Kumar Porwal
Keyword(s):  
Heat Treatment ◽  
Welded Joints ◽  
Experimental Studies ◽  
Welding Process ◽  
Inert Gas ◽  
Fatigue Properties ◽  
Input Parameters ◽  
Metal Inert Gas Welding ◽  
Weld Heat

Metal Inert Gas welding is a fast, reliable and cost effective technique for joining of different ferrous materials and steels used in the construction of large structures like Fe410WA, IS2062, SS304, AISI1040 and AISI316 etc. To obtain better quality and performance of the steel welded joints, parameter optimisation of metal inert gas welding procedure and weld heat treatment process is carried out. In optimization work and studies, variables of GMAW process like welding voltage and current, speed of welding, WFR (rate of wire feed), GFR (rate of gas flow), type of gas used and effect of heat treatments are kept changing to get best combinations of input parameters for best quality of welded parts. The quality of welds is evaluated in terms of mechanical properties of welded joints like ultimate tensile and yield strength, elongation, microstructure, heat affected zone and defect free weld joints etc. Model and experimental studies are done in different combinations to get best combination of input parameters for steels. Studies by authors have identified the significance of input parameters in ascending order and some of them also quantified the optimal values of the input parameters. Pre and post weld heat treatment of structures is beneficial in improvement of mechanical and fatigue properties.

scholarly journals Influence of Friction Pressure at a Given Burn-off Length on the Mechanical and Microstructural Properties of Welded Joints from Medium-Carbon Alloyed Steels in Rotaty Friction Welding

2018 ◽  
Vol 7 (4.36) ◽  
pp. 978
Author(s):  
Elena Priymak ◽  
Nadezhda Firsova ◽  
Elena Bashirova ◽  
Svetlana Sergienko ◽  
Elena Kuzmina ◽  
...  
Keyword(s):  
Residual Stresses ◽  
Welded Joints ◽  
Friction Welding ◽  
Thermal Deformation ◽  
Tensile Tests ◽  
Welding Parameters ◽  
Microstructural Properties ◽  
Medium Carbon ◽  
Friction Pressure ◽  
Mechanical And Microstructural Properties

This study investigates the influence of friction pressure at a given  burn-off length on the microhardness, tensile properties and microstructure of the welded joints from steel 32-2-Mn and 40-Cr-Ni. Phase transformations occurring in the materials to be welded as a result of thermal deformation effects are analyzed. The change in the length of the thermomechanical affected zone (TMAZ) depending on the friction pressure is shown. The results of the distribution of microhardness in the weld, clearly illustrating the formation of hardened and weakened areas. The results of tensile tests of welded joints are given. Analyzed the place of fracture at various welding parameters. The necessity of studying the distribution of internal residual stresses to explain the mechanism of fracture of welded joints is shown.  

Development of Technological Recommendations for Improving the Quality of Welded Joints of Pipeline System Elements Made of Stainless Alloys for Aviation Purposes

2021 ◽  
pp. 41-53
Author(s):  
A.S. Kravchenko ◽  
P.V. Bakhmatov
Keyword(s):  
Stainless Steel ◽  
Welded Joints ◽  
Arc Welding ◽  
Welding Parameters ◽  
Pipeline System ◽  
Welding Equipment ◽  
Pipeline Systems ◽  
Single Production ◽  
Thin Walled

There is a substantial body of literature on improving the quality of welded joints of stainless steels. However, as practice shows, in a single production facility the level of defects can be quite high, which can be explained by the specifics and features of this production. Currently, there is insufficient information about the optimal modes of argon arc welding of thin-walled stainless steel pipe systems. The welding modes given in the current regulatory documentation are not always relevant and optimal for modern welding equipment. In addition, there is no model to predict the change in the mechanical properties of the weld depending on the welding parameters. This leads to the need to carry out a series of laborious experiments for each new alloy or piece of welding equipment in order to build diagrams that allow you to determine the range of parameters for obtaining the best quality welded joints. This study examines the influence of argon arc welding on the structure and properties of welded joints of thin-walled stainless steel elements of pipeline systems. A linear regression model is obtained that reflects the dependence of the tensile strength of the welded joints on the argon arc welding mode. Technological recommendations for manufacturing welded elements for stainless steel pipeline systems for aviation purposes are developed.

scholarly journals Exploration of Rotary Friction Welding Technique

2021 ◽  
Vol 71 (2) ◽  
pp. 53-60
Author(s):  
Chatha Jagjeet Singh ◽  
Kohli Prabhsharan Singh ◽  
Handa Amit
Keyword(s):  
Solid State ◽  
Welded Joints ◽  
Friction Welding ◽  
Welding Parameters ◽  
Welding Method ◽  
Rotary Friction Welding ◽  
Friction Pressure ◽  
Welding System ◽  
Welding Technique

Abstract Friction welding is a solid-state welding system which welds materials without authentic melting it. This study explores papers of different researchers on the friction welding method and it has been observed that the welding parameters like friction time; friction pressure, forge time and forge pressure highly affect properties of welded joints. The reason for this investigation is to exhort industry and the insightful world regarding advantages of revolving friction welding so the technique may be utilized in an ideal manner.

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