A review of hybrid manufacturing processes–state of the art and future perspectives

Z Zhu, VG Dhokia, A Nassehi… - International Journal of …, 2013 - Taylor & Francis
Today, hybrid manufacturing technology has drawn significant interests from both academia
and industry due to the capability to make products in a more efficient and productive way …

Artificial neural networks for machining processes surface roughness modeling

FJ Pontes, JR Ferreira, MB Silva, AP Paiva… - … International Journal of …, 2010 - Springer
In recent years, several papers on machining processes have focused on the use of artificial
neural networks for modeling surface roughness. Even in such a specific niche of …

Design of experiments and focused grid search for neural network parameter optimization

FJ Pontes, GF Amorim, PP Balestrassi, AP Paiva… - Neurocomputing, 2016 - Elsevier
The present work offers some contributions to the area of surface roughness modeling by
Artificial Neural Networks (ANNs) in machining processes. It proposes a method for an …

[PDF][PDF] Artificial intelligence techniques for cancer detection and classification: review study

ARM Al-shamasneh, UHB Obaidellah - European Scientific Journal, 2017 - core.ac.uk
Cancer is the general name for a group of more than 100 diseases. Although cancer
includes different types of diseases, they all start because abnormal cells grow out of control …

Prediction and analysis of the surface roughness in CNC end milling using neural networks

CH Chen, SY Jeng, CJ Lin - Applied Sciences, 2021 - mdpi.com
In the metal cutting process of machine tools, the quality of the surface roughness of the
product is very important to improve the friction performance, corrosion resistance, and …

[HTML][HTML] Modeling and Prediction of Surface Roughness in Hybrid Manufacturing–Milling after FDM Using Artificial Neural Networks

S Djurović, D Lazarević, B Ćirković, M Mišić, M Ivković… - Applied Sciences, 2024 - mdpi.com
Three-dimensional printing, or additive manufacturing, represents one of the fastest growing
branches of the industry, and fused deposition modeling (FDM) is one of most frequently …

Experimental investigation and optimization of turning polymers using RSM, GA, hybrid FFD-GA, and MOGA methods

AI Alateyah, Y El-Taybany, S El-Sanabary… - Polymers, 2022 - mdpi.com
The machining of polymers has become widely common in several components of industry
4.0 technology, ie, mechanical and structural components and chemical and medical …

[HTML][HTML] Micro-machinability of injection molded polyamide 6 polymer and glass-fiber reinforced polyamide 6 composite

E Kuram - Composites Part B: Engineering, 2016 - Elsevier
Polymer and glass-fiber reinforced polymer composites are extensively employed in the
aerospace and automotive industries. As a result, the demand for accurate machining of …

A comprehensive study on slicing processes optimization of silicon ingot for photovoltaic applications

S Ozturk, L Aydin, E Celik - Solar Energy, 2018 - Elsevier
Systematic cutting process design and optimization problems are studied for surface
roughness minimization by stochastic algorithms. As the experimental background of the …

The selection of milling parameters by the PSO-based neural network modeling method

M Farahnakian, MR Razfar, M Moghri… - The International Journal …, 2011 - Springer
During the past decade, polymer nanocomposites have emerged relatively as a new and
rapidly developing class of composite materials and attracted considerable investment in …