Modeling of weld lap-shear strength for laser transmission welding of thermoplastic using artificial neural network

MR Nakhaei, NB Mostafa Arab… - Advanced materials …, 2012 - Trans Tech Publ
Laser welding of plastic materials has a wide range of applications in the packaging,
medical, electronics and automobile industries provided it can predict high quality welds …

Application of artificial neural network for predicting weld quality in laser transmission welding of thermoplastics

B Acherjee, S Mondal, B Tudu, D Misra - Applied soft computing, 2011 - Elsevier
The present work establishes a correlation between the laser transmission welding
parameters and output variables though a nonlinear model, developed by applying artificial …

Experimental investigation on laser transmission welding of polycarbonate and acrylic

D Kumar, S Paitandi, AS Kuar, D Bose - … Learning Applications in …, 2021 - igi-global.com
This chapter presents the effect of various process parameters, namely laser power, pulse
frequency, and welding speed, on the weld shear strength and weld width using a diode …

Prediction of laser welding quality by computational intelligence approaches

D Petković - Optik, 2017 - Elsevier
In this investigation was established a model of laser welding quality prediction based on
different input parameters. As the quality factors for the laser welding process lap-shear …

Neural networks based prediction modelling of hybrid laser beam welding process parameters with sensitivity analysis

S Chaki - SN Applied Sciences, 2019 - Springer
Present paper attempted to model complex relationship between CO 2 laser–MIG hybrid
welding parameters and it has been completed using different algorithms of artificial neural …

A model for evaluation of laser welding efficiency and quality using an artificial neural network and fuzzy logic

G Casalino, FMC Minutolo - Proceedings of the Institution of …, 2004 - journals.sagepub.com
For any welding process, efficiency and quality strongly depend on the energy input, which
is the energy introduced per unit length of weld from a travelling heat source. The focused …

Prediction of weld strength and seam width for laser transmission welding of thermoplastic using response surface methodology

B Acherjee, D Misra, D Bose… - Optics & Laser …, 2009 - Elsevier
In the present work, a study is made to investigate the effects of process parameters, namely,
laser power, welding speed, size of the laser beam and clamp pressure, on the lap-shear …

Laser Beam Welded Aluminum-Titanium Dissimilar Sheet Metals: Neural Network Based Strength and Hardness Prediction Model

S Chandran, R Rajesh, MD Anand - The Computer Journal, 2023 - academic.oup.com
Abstract 'Laser Beam Welding (LBW) is a welding technique used to join pieces of metal or
thermoplastics with the aid of laser'. The beam offers a concerted heat source, which …

Prediction of weld geometry in laser welding by numerical simulation & artificial neural networking

U Dey, A Duggirala, S Paul, S Mitra - Advances in Materials and …, 2024 - Taylor & Francis
Advanced manufacturing processes have increased industrial productivity and enhanced
marketing prospects. Optimization techniques coupled with simulative methods in laser …

Investigation of dissimilar laser welding of stainless steel 304 and copper using the artificial neural network model

EA Algehyne, T Saeed, M Ibrahim… - Journal of Laser …, 2021 - pubs.aip.org
In this study, to accurately predict the temperature and melting ratio at low time and cost, the
process of dissimilar laser welding of stainless steel 304 and copper was simulated based …