Finite element modelling, predictive modelling and optimization of metal inert gas, tungsten inert gas and friction stir welding processes: a comprehensive review

K Kalita, D Burande, RK Ghadai… - Archives of Computational …, 2023 - Springer
Welding is an essential fabrication process in any of the construction or manufacturing
industries. Over the years, numerous welding techniques have been developed to fulfil the …

Optimization of process parameters of metal inert gas welding with preheating on AISI 1018 mild steel using grey based Taguchi method

S Kumar, R Singh - Measurement, 2019 - Elsevier
Welding processes form an integral part of manufacturing industries and construction works.
Among all the welding processes available, MIG welding is the widely used welding process …

Optimization of bead geometry in electron beam welding using a genetic algorithm

V Dey, DK Pratihar, GL Datta, MN Jha, TK Saha… - Journal of materials …, 2009 - Elsevier
Bead-on-plate welds were carried out on austenitic stainless steel plates using an electron
beam welding machine. Experimental data were collected as per central composite design …

Prediction of electron beam weld quality from weld bead surface using clustering and support vector regression

S Jaypuria, V Bondada, SK Gupta, DK Pratihar… - Expert Systems with …, 2023 - Elsevier
Destructive manual experiments are primarily used for quality assessment of electron beam
welded components, which consume the resources and time significantly. Vision-based and …

Impact of gas metal arc welding parameters on bead geometry and material distortion of AISI 316L

S Khrais, H Al Hmoud, A Abdel Al… - Journal of Manufacturing …, 2023 - mdpi.com
This study investigates the impact of gas metal arc welding (GMAW) parameters on the bead
geometry and material distortion of AISI 316L. Three parameters—arc current in ampere (A) …

Optimizing the parameters of TIG-MIG/MAG hybrid welding on the geometry of bead welding using the Taguchi method

CF Schneider, CP Lisboa, RA Silva… - Journal of Manufacturing …, 2017 - mdpi.com
The main aim of this work was to evaluate the influence and optimize the factors of the TIG-
MIG/MAG hybrid welding process on the geometry of the weld bead. An experimental design …

Soft computing methods used for the modelling and optimisation of Gas Metal Arc Welding: a review

K Pal, SK Pal - International Journal of Manufacturing …, 2011 - inderscienceonline.com
The quality of a weld primarily depends on the process parameters in any welding process.
The welding parameters influence the weld bead geometry and weld microstructure, which …

Performance of predictive models to determine weld bead shape parameters for shielded gas metal arc welded T-joints

R Pradhan, AP Joshi, MR Sunny, A Sarkar - Marine Structures, 2022 - Elsevier
Assessing weld bead shape is essential for the quality control of a welded joint. This work
presents an attempt to predict the weld bead shape parameters of shielded Gas Metal Arc …

Metal inert gas (MIG) welding process optimization using teaching-learning based optimization (TLBO) algorithm

BF Jogi, AS Awale, SR Nirantar, HS Bhusare - Materials today …, 2018 - Elsevier
Welding parameters play a great significant role in determining the weld joint quality in terms
of weld-bead geometry. To obtain a good quality weld, it is necessary to select the proper …

Clusterwise support vector linear regression

K Joki, AM Bagirov, N Karmitsa, MM Mäkelä… - European Journal of …, 2020 - Elsevier
In clusterwise linear regression (CLR), the aim is to simultaneously partition data into a
given number of clusters and to find regression coefficients for each cluster. In this paper, we …