Optimization and Prediction of TIG-MIG hybrid Joint Strength using Adaptive Neuro-Fuzzy Inference System (ANFIS) Model

Optimization and Prediction of TIG-MIG hybrid Joint Strength using Adaptive Neuro-Fuzzy Inference System (ANFIS) Model

In the welding processes, parametric optimization is crucial, and intelligent prediction makes use of data availability to cut the cost of experimental operations. This article proposes adopting the adaptive neuro-fuzzy inference system (ANFIS) model for predicting ultimate tensile strength in TIG-M...

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Bibliographic Details
Main Authors: Abima Cynthia Samuel, Madushele Nkosinathi, Adeleke Oluwatobi, Akinlabi Stephen Akinwale, Akinlabi Esther
Format: Article
Language:English
Published: EDP Sciences 2023-01-01
Series:E3S Web of Conferences
Subjects:
adaptive neuro-fuzzy inference system (anfis)
tig-mig hybrid welding
taguchi design
tensile strength
machine learning
artificial neural network
optimization
Online Access:https://www.e3s-conferences.org/articles/e3sconf/pdf/2023/67/e3sconf_icmpc2023_01238.pdf

Internet

https://www.e3s-conferences.org/articles/e3sconf/pdf/2023/67/e3sconf_icmpc2023_01238.pdf

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