A critical review on applications of artificial intelligence in manufacturing
The fourth industrial revolution, Industry 4.0, has brought internet, artificial intelligence (AI),
and machine learning (ML) concepts into manufacturing. There is an immediate need to …
and machine learning (ML) concepts into manufacturing. There is an immediate need to …
A study on the performance of various predictive models based on artificial neural network for backward metal flow forming process
Backward metal flow forming is an incremental forming process that is used to manufacture
near shape products with precise dimensions. Among the most important application fields …
near shape products with precise dimensions. Among the most important application fields …
Experimental investigation and modeling of fiber metal laminates hydroforming process by GWO optimized neuro-fuzzy network
AH Rabiee, E Sherkatghanad… - … of Computational & …, 2023 - jcarme.sru.ac.ir
In this paper, by considering the processing parameters, including blank holder force, blank
holder gap, and cavity pressure as the most important input factors in the hydroforming …
holder gap, and cavity pressure as the most important input factors in the hydroforming …
ANFIS System for Stress Prediction of Cold Heading Fastener Body Process for a Steel Base Composite Aluminum
S Butdee, U Khanawapee - Design, Simulation, Manufacturing: The …, 2024 - Springer
The cold heading process has been widely used for metal forming with different types of
materials, particularly for producing fastener bodies, which are applied to various industrial …
materials, particularly for producing fastener bodies, which are applied to various industrial …
[PDF][PDF] Application of Adaptive Neuro-Fuzzy Inference System for Prediction of Mean Thickness in Backward Metal Flow Forming Process
P Banerjee, A Karmakar, N Hui - Acta Mechanica Slovaca, 2021 - researchgate.net
In the backward metal flow forming process, the mean thickness of flow formed tubes is
crucial in determining the quality. Consequently, predicting the mean thickness in …
crucial in determining the quality. Consequently, predicting the mean thickness in …