scholarly journals Prediction of Melting Profile of Mild Steel Weld Metals Using Regression Analysis

2019 ◽  
pp. 1-25
Author(s):  
Onoriode K. Idiapho ◽  
Raphael Biu ◽  
William E. Odinikuku ◽  
Onomine M. Akusu
Keyword(s):  
Regression Analysis ◽  
Mild Steel ◽  
Process Parameters ◽  
Welding Process ◽  
Angular Distortion ◽  
Optimum Process ◽  
Filler Wire ◽  
Melting Profile ◽  
Parent Metal ◽  
Bead Width

The microstructure of a weldment can be maintained by ensuring a steady state homogenous melting profile of the welding operation, which includes the deposition of optimum volumes of melted filler wire and substantial part of the heat affected zones of the parent metal to form the weld pool. The melting pattern of the entire welding process should be protected from atmospheric air, so as to enhance weldment quality. In this study, the melting profile of mild steel is investigated by looking at the parent metal angular distortion bead width and penetration volumes of deposited filler and the melting efficiency was determined. Predictive models were also developed to determine the above listed melting properties by applying the regression analysis. The result obtained showed that, there is almost a perfect fit between the calculated and predicted angular distortion, as well as between the calculated and predicted volume of filler wire melted. There is also a close correlation between the calculated and predicted melting efficiency. However, for the bead width, bead penetration and volume of weld metal deposited, there were variations of values and a heterogeneous correlation between the calculated, measured and predicted values. The effects of the process parameters on the obtained properties of the melting profile were investigated and optimum process parameters were determined.

Effects of the Process Parameters on Beads by Plasma Arc Welding of the Membrane for LNG Ships

2007 ◽  
Vol 26-28 ◽  
pp. 507-510 ◽  
Author(s):  
B.J. Kim ◽  
Y.R. Son ◽  
J.O. Yun ◽  
Jeong Soo Lee
Keyword(s):  
Process Parameters ◽  
Gas Flow ◽  
Welding Process ◽  
Welding Current ◽  
Tensile Tests ◽  
Optimum Process ◽  
Plasma Welding ◽  
Lap Welding ◽  
Etched Surface ◽  
Membrane Sheet

The membrane, which forms the primary barrier of the cargo tank onboard LNG carrier, is made of corrugated sheets, angle pieces and sealing caps and so on. These components are manufactured from SUS 304L sheets of 1.2mm thickness and assembled by the plasma welding. There are several welding defects such as overlap, excessive convexity, excessive concavity of weld and incomplete inclusion in the plasma welding. These unacceptable portions of the weld should be removed and repaired in order to prevent propagation of the defects. So a study is undertaken to determine the optimum process parameters such as the welding current, traveling speed, gas flow rates and frequency in the plasma lap welding process for LNG ships in order to prevent these defects. The polished and etched surface of the welded membrane sheet is examined if the cross section shows a properly made weld. And the tensile tests are conducted to consider if the tensile strength is less than the minimum required for the parent metal of the membrane sheet.

Optimization of Friction Stir Welding Process Parameters to Join Al 5052 and Al 6061 Alloy Plates Using Grey-Taguchi Technique

2017 ◽  
Author(s):  
R. Sandeep ◽  
D. Sudhakara ◽  
G. Prasanthi
Keyword(s):  
Friction Stir Welding ◽  
Process Parameters ◽  
Welding Process ◽  
Dissimilar Materials ◽  
Fusion Welding ◽  
Optimum Process ◽  
Friction Stir ◽  
Friction Stir Welding Process ◽  
Grey Analysis ◽  
Grey Taguchi

Friction stir welding (FSW) is a solid state welding process used for welding similar and dissimilar materials. The process is widely used because it does not have common problems such as solidification and liquefaction cracking associated with the fusion welding techniques. The objective of the present research is to find the best combination of friction stir welding process parameters to join aluminium 5052 and 6061 alloy materials. The combination of process parameters is helpful to improve ultimate tensile strength, yield strength, percentage of elongation and hardness of welded joint. To achieve the research objective taguchi based grey analysis was used. The optimum process parameters were found be at rotational speed is 1400 rpm, transverse speed of 100 mm/min and axial force is at 11 KN.

Sustainable Analysis of Process Parameters during MIG Welding of 1018 Mild Steel

2022 ◽  
Vol 13 (1) ◽  
pp. 0-0
Keyword(s):  
Tensile Strength ◽  
Energy Consumption ◽  
Mild Steel ◽  
Process Parameters ◽  
Negative Impact ◽  
Sustainable Manufacturing ◽  
Welding Process ◽  
Travel Speed ◽  
Contour Plot ◽  
Mig Welding

The present work analyses MIG in terms of strength and consumption of energy during joining of similar AISI 1018 Mild Steel plates. Sustainable manufacturing is the creation of various manufactured products that generally use different processes that will minimize negative impact on environment, conserve natural resources and energy, are also safe for the employees, consumers and communities as well as economically sound. Sustainable manufacturing highlights on the necessity of an energy effective process that optimize consumption of energy. AISI 1018 mild steel is extensively used in automotive industries for pins, worms, dowels gears, non-critical tool components etc. Main important output responses are Tensile Strength and energy consumption during MIG Welding Process by taking Current, Travel Speed and Voltage as effective input variables. The main objective is to optimize energy consumption as well as tensile strength also determination of main influential process parameters on energy Consumption and tensile strength by using Taguchi Method. Contour plot has been also shown.

Optimization of A-TIG welding process parameters for RAFM steel using response surface methodology

2015 ◽  
Vol 232 (2) ◽  
pp. 121-136 ◽  
Author(s):  
P Vasantharaja ◽  
M Vasudevan
Keyword(s):  
Response Surface Methodology ◽  
Response Surface ◽  
Process Parameters ◽  
Welding Process ◽  
Tig Welding ◽  
Depth Of Penetration ◽  
Bead Width ◽  
A Tig Welding ◽  
Input Variables ◽  
Haz Width

In the present work, the optimization of Activated TIG (A-TIG) welding process parameters to achieve the desired weld bead shape parameters such as depth of penetration, bead width, and heat-affected zone (HAZ) width have been carried out using response surface methodology (RSM). The main problem faced in fabrication of weld joints is the selection of optimum combination of input variables for achieving required quality of welds. This problem can be solved by development of mathematical model and execution of experiments by RSM. Central composite design of RSM has been used to generate the design matrix for generating data on the influence of A-TIG welding process parameters. The input variables considered were welding current, torch speed, electrode tip angle, and arc gap. The response variables considered were depth of penetration, bead width and HAZ width. A second-order response surface model is developed for predicting the response for the set of given input process parameters. Then, numerical and graphical optimization is performed using RSM to obtain the desired depth of penetration, bead width, and target HAZ width using desirability approach.

Multi Objective Optimization of Laser Welding Process Parameters by Desirability Approach of Design of Experiments

2012 ◽  
Author(s):  
T. Suthakar ◽  
K. R. Balasubramanian ◽  
K. Sankaranarayanasamy
Keyword(s):  
Aspect Ratio ◽  
Laser Welding ◽  
Power Density ◽  
Process Parameters ◽  
Welding Process ◽  
Depth Of Penetration ◽  
Bead Width ◽  
Desirability Approach ◽  
Laser Welding Process ◽  
Selection Of

Laser welding process is the high energy beam welding process which is very much used for thin and thick section industrial applications. The weld bead profile relies on the selection of process parameter. Due to its high power density optimal selection of process parameters is vital. In this research the optimization of the input process parameters namely power density (PD), welding speed (WS), beam angle (BA) and gas flow rate (GFR) on the response bead width (BW), depth of penetration (DOP) and depth to width aspect ratio (D/W) is analyzed. As the process parameters are highly non-linear, quadratic equations are generated for determining the desired response. The experimental trials are performed on an AISI 304 austenitic stainless steel using the four-factor-five-level central composite experimental design (CCED). Optimization of process parameters is performed using the desirability approach and the results obtained from the mathematical model is compared with the experimental results and found to be in agreement. The target fixed for the weld is to determine the optimal process parameters for the minimization of bead width and the maximization of depth of penetration and depth to width aspect ratio.

A Study on Parameter Optimization With Numerical Heat Conduction Model For Circumferential Gas Tungsten Arc (GTA) Welding of Thin Pipes

1992 ◽  
Vol 206 (2) ◽  
pp. 101-111 ◽  
Author(s):  
T-J Lho ◽  
S-J Na
Keyword(s):  
Heat Conduction ◽  
Process Parameters ◽  
Small Diameter ◽  
Welding Current ◽  
Gta Welding ◽  
Optimum Process ◽  
Bead Width ◽  
Welding Condition ◽  
Gas Tungsten Arc ◽  
Gas Tungsten

One of the important problems to be solved in welding engineering is to develop a mathematical method for the determination of optimum process parameters. In order to estimate the optimal process parameters in circumferential gas tungsten arc (GTA) welding of thin pipes, an objective was chosen to maintain a uniform bead width over the full circumferential joint, while the constraints consist of the capacity limit of the welding power source and equipment used. A transient three-dimensional finite difference model (FDM) of the heat conduction flow in the circumferential GTA welding of pipes was adopted for calculating the temperature field considering the temperature-dependent thermal properties of the workpiece, and consequently for determining the resultant bead width in circumferential welding of the pipe workpiece. An efficient optimization model for the numerical heat conduction flow was proposed to evaluate the optimal welding current with a given welding velocity for a required bead width. Its solution was obtained by employing the steepest descent method (SDM), where the initial value of the welding current was estimated by using the linear complementary problem (LCP), and the welding currents in the middle part of the pipe were interpolated by the least-squares approximation method of the second order. The experimental results of the bead formation showed that the developed mathematical model can be effectively applied to obtain the optimal welding condition in circumferential welding of thin pipes, especially thin pipes with a small diameter and high thermal conductivity.

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