scholarly journals Parametric Optimization of Metal Inert Gas Welding for Hot Die Steel by using Taguchi Approach

2018 ◽  
Vol 15 (1) ◽  
pp. 100-106 ◽  
Author(s):  
Vijander Kumar ◽  
Navneet Goyal
Keyword(s):  
Tensile Strength ◽  
Weld Bead ◽  
Bead Geometry ◽  
Weld Penetration ◽  
Weld Bead Geometry ◽  
Maximum Tensile Strength ◽  
Current Voltage ◽  
Result Show ◽  
Metal Inert Gas Welding ◽  
Different Levels

In present experimental study an attempt has been made to investigate the effect of three machine input parameters namely current,voltage and nozzle to plate distance (NPD) on tensile strength of weld bead and weld penetration. Three different levels (current 180, 190, 200 in ampere. Voltage 21, 24, 27 in volt and NPD 12, 16, 20 in mm) have been considered in order to evaluate the effect of these parameters on tensile strength and penetration of weld bead. Taguchi method has been employed to abate the number of experiments and analyze the effect of various parameters. Orthogonal array L9 was used for data optimization. On the basis of experimental data, the mathematical technique has been developed by using analysis of variance. Results were obtained from each parameter at different levels for tensile strength and weld bead geometry. Based on these results different parameters were identified for maximum tensile strength and maximum weld penetration. Result show that maximum tensile strength was 390.8 Mpa at 200 ampere current, 27 volt and 16 mm NPD where as maximum weld penetration was 3.20 mm at 200 ampere current, 24 volt and 12 mm NPD

scholarly journals Prediction and Optimization of Weld Bead Geometry

2019 ◽  
Vol 8 (10) ◽  
pp. 2735-2742
Keyword(s):  
Weld Bead ◽  
Welding Parameters ◽  
Bead Geometry ◽  
Weld Bead Geometry ◽  
Bead Width ◽  
Current Voltage ◽  
Weld Parameters ◽  
Curvilinear Regression ◽  
Travel Rate

Bead geometry plays very important role in predicting the quality of weld as cooling rate of the weld depends on the height and bead width, also bead geometry determines it’s residual stresses and distortion. Weld bead geometries are outcomes of several welding parameters taken into consideration. If arc travel is high and arc power is kept low it will produce very low fusion. If electrode feed rate is kept higher width is also found to be on higher side which makes bead tto flat. Also, the parameters like current, voltage, arc travel rate, polarity affects weld bead geometry. Hence, this paper uses techniques like ANN, linear regression and curvilinear regression for predictions of weld bead geometry and their relations with different weld parameters. I. INTRODU

scholarly journals Analisa Pengaruh Variasi Arus Listrik Pengelasan Terhadap Kekuatan Sambungan Pengelasan MIG Pada Material ST 37

2020 ◽  
Vol 5 (2) ◽  
pp. 140-144
Author(s):  
Wenny Marthiana ◽  
Yovial Mahyoedin ◽  
Duskiardi Duskiardi ◽  
Afri Rahim
Keyword(s):  
Tensile Strength ◽  
Elasticity Modulus ◽  
Welding Process ◽  
Welding Current ◽  
Inert Gas ◽  
Bead Geometry ◽  
Weld Bead Geometry ◽  
Metal Inert Gas Welding ◽  
Influential Parameters

AbstrakPada proses produksi, pengaturan parameter poses memegang peranan penting terhadap tercapainya mutu produk yang dihasilkan. Pada proses pengelasan, salah satu parameter proses pengelasan yang harus diperhatikan adalah besar arus pengelasan. Kajian ini dilakukan untuk mengetahui besar kuat arus yang sesuai pada proses pengelasan material ST 37 menggunakan proses pengelasan MIG (Metal Inert Gas).  Pengujian dilakukan dengan memvariasikan besar kuat arus pengelasan yaitu pada 90A, 100A, 110A serta 120A. Pengujian tarik dilakukan terhadap hasil pengelasan tersebut. Hasil pengujian tarik menunjukkan, pengelasan menggunakan kuat arus sebesar 110A memberikan nilai yang maksimum pada beberapa besaran pengujian.  Untuk nilai tegangan tarik, σ memiliki nilai 16.9 kg/mm2, modulus elastisitas, E, 3.14 kg/mm2 serta Regangan ε, 5.42%. Kata kunci: pengelasan, Metal Inert Gas, Tegangan Tarik, modulus elastisitas  AbstractThe appropriate production parameter process plays an important role in fulfill the quality of the products such as mechanical properties like tensile strength and percentage of elongation of MIG welded joints.  Likewise, in the welding process, one of the welding process parameters that is welding current must be considered, since the welding current is most influential parameters affecting weld penetration, deposition rate, weld bead geometry and quality of weld metal. Variation of welding current on MIG (Metal Inert Gas) welding process on ST 37 specimen   was to examine the effects on like tensile strength and percentage of elongation and elasticity modulus.  From the experiment, it is found that when welding current increased up to 110 Ampere the tensile strength tends to incline then slightly decline when welding current increased, modulus elasticity value and percentage of elongation value as well.  The maximum value of tensile strength 16.9 kg/mm2 percentage of elongation value 5.42%. and modulus of elasticity 3.14 kg/mm2 were gained at 110 ampere welding current Keywords: welding process, Metal Inert Gas, Tensile strength, elasticity modulus ,percentage of elongation

Effects of Line Energy on Mechanical Properties, Corrosion and Shape Memory Behavior of Laser-Welded NiTinol Joints

2018 ◽  
Author(s):  
Susmita Datta ◽  
Mohammad Shahid Raza ◽  
Partha Saha ◽  
Dilip Kumar Pratihar
Keyword(s):  
Tensile Strength ◽  
Phase Transformation ◽  
Parent Material ◽  
Weld Bead ◽  
Bead Geometry ◽  
Weld Bead Geometry ◽  
Corrosion Properties ◽  
Line Energy ◽  
Transformation Temperatures ◽  
Quality Aspects

In this experimental work, the effects of line energy at constant scan speed on quality of bead-on-plate laser welding of NiTinol sheets were investigated. Variations of bead geometry, changes in microstructure, variation of micro-hardness value along the weld-bead, generation of new phase during welding, changes in tensile strength of the welded samples, corrosion behavior of welded and parent material, and changes in phase transformation temperatures were measured for characterization of welded samples. Laser weld-bead profile was changed from a wine glass without base to glass shape with the increasing line energy. Quality aspects of weld-bead geometry quality aspects showed an increasing trend with line energy. Microstructure was changed during welding due to competitive grain growth. Microhardness values gradually increased from weld centre line to base metal. Tensile strength of the material was reduced after welding due to the formation of brittle intermetallics compounds. A dual failure mode for the welded sample was observed; whereas a single mode of failure was detected for parent material. The corrosion properties of the welded samples were found to be better than that of parent material. Phase transformation temperatures were also found to be reduced after welding.

Effects of Helium Addition to Ar-Based Shielding Gas on the Lap-Joint Performance of 5052 Aluminum Alloy to Galvanized Steel Sheet during the MIG Weld-Brazing Process

2020 ◽  
Vol 305 ◽  
pp. 129-135
Author(s):  
Hsuan Liang Lin ◽  
Hsin Ya Chen ◽  
You Jiun Wang
Keyword(s):  
Tensile Strength ◽  
Aluminum Alloy ◽  
Steel Sheet ◽  
Weld Bead ◽  
Galvanized Steel ◽  
Bead Geometry ◽  
Shielding Gas ◽  
Lap Joint ◽  
Imcs Layer ◽  
Weld Bead Geometry

In the metal inert gas (MIG) weld-brazing process, the lap-joint welds between 5052 aluminum alloy and automotive galvanized steel sheet were achieved employing an automatic MIG welding machine. The different percentage of helium (He) gas addition to pure argon (Ar) shielding gas was selected to investigate the performance of lap-joint welds such as appearance of weld bead surface, weld bead geometry, microstructure, tensile strength, fracture surface of welds and thickness of intermetallic compounds (IMCs) layer between the dissimilar materials in the brazing zone. The results showed that the lap-joint welds produced by adding 5% and 10% He gas to Ar shielding gas were provided with better performance of specimens. The average tensile strength of lap-joint welds between 5052 aluminum alloy and automotive galvanized steel sheet is 206.23 MPa. In additions, the amount of porosity in the fusion zone that specimens produced by using 10% He addition to Ar-based shielding gas is less than others. It can be found that the thickness of IMCs layer between the weld bead and automotive galvanized steel sheet from 3.30 μm to 4.90 μm.

scholarly journals Different Methods for Predicting and Optimizing Weld Bead Geometry with Mathematical Modeling and ANN Technique

2019 ◽  
Vol 8 (10) ◽  
pp. 2761-2766
Keyword(s):  
Weld Bead ◽  
Welding Parameters ◽  
Bead Geometry ◽  
Weld Bead Geometry ◽  
Bead Width ◽  
Current Voltage ◽  
Modeling Techniques ◽  
Weld Parameters ◽  
Travel Rate

Bead geometry plays very important role in predicting the quality of weld as cooling rate of the weld depends on the height and bead width, also bead geometry determines it’s residual stresses and distortion. Weld bead geometries are outcomes of several welding parameters taken into consideration. If arc travel is high and arc power is kept low it will produce very low fusion. If electrode feed rate is kept higher width is also found to be on higher side which makes bead tto flat. Also, the parameters like current, voltage, arc travel rate, polarity affects weld bead geometry. Hence, this paper is a review of different experimentations and modeling techniques regarding predictions of weld bead geometry and their relations with different weld parameters.

scholarly journals Prediction of Weld Bead Geometry of Mild Steel Using Taguchi Technique and Multiple Regression Analysis

2020 ◽  
pp. 31-46
Author(s):  
William E. Odinikuku ◽  
Joseph E. Udumebraye ◽  
David Atadious
Keyword(s):  
Process Parameters ◽  
Arc Welding ◽  
Weld Bead ◽  
Optimum Process ◽  
Bead Geometry ◽  
Weld Penetration ◽  
Taguchi Technique ◽  
Weld Bead Geometry ◽  
Bead Width ◽  
Submerged Arc

The weld bead geometry is very important in predicting the quality of weld as cooling rate of the weld depends on it. For this purpose, the Taguchi technique was applied to determine optimum process parameters of weld bead geometry in submerged arc welding. The study involves using Taguchi’s L9 orthogonal arrays to conduct nine experiments on a 6 mm plate of IS2062 grade mild steel by using SKU MIL-SubArc AC/DC submerged arc welding machine with constant voltage. Three-levels of the four process parameters- arc voltage, welding current, welding speed and electrode stick out were considered and their effect on weld bead geometry−bead width, depth of penetration and weld reinforcement was observed. The signal to noise ratios was computed to determine the optimum parameters. From the results obtained, optimum process parameters of ,  and  was suggested for weld bead width, weld penetration and weld reinforcement respectively. Regression analysis is done to establish the relationship between the input parameters and geometrical parameters of weld bead. The proposed mathematical model can be used to predict bead width, weld penetration and weld reinforcement values for any given SAW welding conditions.

A modified version of MATLAB application window for predicting the weld bead profile and stress–strain plot of AA5052 CMT weldment using ER4043

SIMULATION ◽  
2021 ◽  
pp. 003754972110315
Author(s):  
B Girinath ◽  
N Siva Shanmugam
Keyword(s):  
Strain Curve ◽  
Weld Bead ◽  
Welding Parameters ◽  
Bead Geometry ◽  
Hybrid Technique ◽  
Stress Strain Curve ◽  
Stress Strain ◽  
Weld Bead Geometry ◽  
Inference System ◽  
Engineering Stress

The present study deals with the extended version of our previous research work. In this article, for predicting the entire weld bead geometry and engineering stress–strain curve of the cold metal transfer (CMT) weldment, a MATLAB based application window (second version) is developed with certain modifications. In the first version, for predicting the entire weld bead geometry, apart from weld bead characteristics, x and y coordinates (24 from each) of the extracted points are considered. Finally, in the first version, 53 output values (five for weld bead characteristics and 48 for x and y coordinates) are predicted using both multiple regression analysis (MRA) and adaptive neuro fuzzy inference system (ANFIS) technique to get an idea related to the complete weld bead geometry without performing the actual welding process. The obtained weld bead shapes using both the techniques are compared with the experimentally obtained bead shapes. Based on the results obtained from the first version and the knowledge acquired from literature, the complete shape of weld bead obtained using ANFIS is in good agreement with the experimentally obtained weld bead shape. This motivated us to adopt a hybrid technique known as ANFIS (combined artificial neural network and fuzzy features) alone in this paper for predicting the weld bead shape and engineering stress–strain curve of the welded joint. In the present study, an attempt is made to evaluate the accuracy of the prediction when the number of trials is reduced to half and increasing the number of data points from the macrograph to twice. Complete weld bead geometry and the engineering stress–strain curves were predicted against the input welding parameters (welding current and welding speed), fed by the user in the MATLAB application window. Finally, the entire weld bead geometries were predicted by both the first and the second version are compared and validated with the experimentally obtained weld bead shapes. The similar procedure was followed for predicting the engineering stress–strain curve to compare with experimental outcomes.

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