Geometry and distortion prediction of multiple layers for wire arc additive manufacturing with artificial neural networks

C Wacker, M Köhler, M David, F Aschersleben… - Applied Sciences, 2021 - mdpi.com
Wire arc additive manufacturing (WAAM) is a direct energy deposition (DED) process with
high deposition rates, but deformation and distortion can occur due to the high energy input …

Multi-variable measurements and optimization of GMAW parameters for API-X42 steel alloy using a hybrid BPNN–PSO approach

MA Moghaddam, R Golmezergi, F Kolahan - Measurement, 2016 - Elsevier
This research addresses multi criteria modeling and optimization procedure for Gas Metal
Arc Welding (GMAW) process of API-X42 alloy. Experimental data needed for modeling are …

Combining soft computing techniques and the finite element method to design and optimize complex welded products

R Lostado, RF Martinez, BJ Mac Donald… - Integrated …, 2015 - content.iospress.com
One of the main objectives when designing welded products is to reduce strains and
deformations. Strains can cause excessive angular distortion. This results in a welded …

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 …

Development of an artificial intelligence-based system for predicting weld bead geometry

NH Tran, VH Bui, VT Hoang - Applied Sciences, 2023 - mdpi.com
The prediction of the weld bead geometry parameters is an important aspect of welding
processes due to it is related to the strength of the welded joint. This research focuses on …

An artificial neural network model for predicting joint performance in ultrasonic welding of composites

Y Li, TH Lee, C Wang, K Wang, C Tan, M Banu, SJ Hu - Procedia CIRP, 2018 - Elsevier
Ultrasonic welding is a robust and cost-effective joining method. It can be applied to joining
of metals, polymers and composites. Several approaches have been used in the …

A comparative study of multiple regression analysis and back propagation neural network approaches on plain carbon steel in submerged-arc welding

A Sarkar, P Dey, RN Rai, SC Saha - Sādhanā, 2016 - Springer
Weld bead plays an important role in determining the quality of welding particularly in high
heat input processes. This research paper presents the development of multiple regression …

Effect of shielding gas parameters on weld metal thermal properties in gas metal arc welding

FH Ley, SW Campbell, AM Galloway… - … International Journal of …, 2015 - Springer
This study considered the effect of shielding gas parameters (composition, supply method
and flow rate) on the post-weld thermal properties (thermal expansion, specific heat …

A real-time quality monitoring framework for steel friction stir welding using computational intelligence

A Baraka, G Panoutsos, S Cater - Journal of Manufacturing Processes, 2015 - Elsevier
In this article, we present a human-centric model-based framework, where we create a new
process monitoring algorithm relying on discrete frequency-based analysis of process …

Process stability of ultrasonic-wave-assisted gas metal arc welding

C Fan, W Xie, C Yang, S Lin, Y Fan - Metallurgical and Materials …, 2017 - Springer
As a newly developed arc welding method, ultrasonic-wave-assisted arc welding
successfully introduced power ultrasound into the arc and weld pool, during which the …