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Sarkar, P. K.
- Identification and Assessment of the HAZ Softening and Hardening Phenomena for Submerged Arc Welding Process for Structural Steel Plates
Authors
1 Department of Mechanical Engg. Govt Engineering College, Kalyani, W.B,, IN
2 MECON India Ltd., Ranchi, IN
3 Department of Mechanical Engg. & Mining Machinery Engg., Indian School of Mines, University, Dhanbad, IN
Source
Indian Welding Journal, Vol 42, No 2 (2009), Pagination: 37-42Abstract
Submerged Arc Welding (SAW) process has lot of social and economical implication. Critical set of variables are involved in this process, and they are needed to be controlled. An attempt has been made in this paper to find out- the influence of the heat input on HAZ hardness (change of hardness & microstructure) for Submerged Arc Welding Process of Mild steel plates. Mild steel plates are welded by changing input variables (current, voltage, trolley speed, i.e. heat input) and Rockwell hardness No. on different grid points (points are taken horizontally & vertically 2 mm apart) of welded surface and at the zone adjacent to the welded portion has been observed. A detailed analysis of the microstructure changes is carried out to understand the HAZ softening phenomenon.
Keywords
SAW, HAZ Hardness, Rockwell Hardness No., Microstructure, Grain Growth.- Analysis of The Influence of The Heat Input and Bead Volume on HAZ Hardness for Submerged Arc Welding Process of Mild Steel Plates
Authors
1 Department of Mechanical Engineering and Mining Machinery Engineering, ISMU, Dhanbad, IN
2 Departments of Mechanical Engineering, Kalyani Govt. Engineering College, Kalyani, W.B.,, IN
3 MECON Limited, Ranchi, Jharkhand, IN
Source
Indian Welding Journal, Vol 41, No 3 (2008), Pagination: 46-51Abstract
In Submerged Arc Welding process involves critical set of variables which are needed to control. An attempt has been made in this paper to find out- the influence of the heat input and bead volume on HAZ Hardness for Submerged Arc Welding Process of Mild steel plates. Mild steel plates are welded by changing input variables (current, voltage, trolley speed, i.e. heat input) and Rockwell hardness no. has been observed on welded portion and at the zone adjacent to the welded portion. A detailed analysis of the microstructure changes is carried out to understand the HAZ softening phenomenon.
Keywords
SAW, Microstructure, HAZ, Hardness.- Weldbead Parametric Estimation of SAW Process Through Neural Network
Authors
1 Dept., Kalyani Govt Engg. College, Kaiyani, IN
2 Mecon Limited, Ranchi, IN
3 Department of Mechanical Engg. & Mining Machinery Engg. Indian School of Mines University, Dhanbad, IN
Source
Indian Welding Journal, Vol 40, No 4 (2007), Pagination: 33-43Abstract
In this paper, an attempt has been taken to develop a model to predict the yield characteristics (weld bead parameters) of Submerged Arc Welding (SAW) process with the help of neural network technique. The SAW process has been chosen for this application because of the complex set of variables and high set up cost involved in the process as well as its significant application in the manufacturing of critical equipments which have a lot of economic and social implications.
Under this study the neural network model has been trained according to the actual inputs and outputs.
After completing training, the desired inputs have been given to the model and it gives the estimated output value. And according to this we can also estimate the error between the actual and predicted results. Neural network is implemented here because of having remarkable ability to derive meaning from complicated or imprecise data and can be used to extract patterns and detect trends that are too complex to be noticed by either humans or other computer techniques. Hence a trained neural network can be thought of as an "expert" in the category of information it has been given to analyses.