Artificial intelligence systems for tool condition monitoring in machining: Analysis and critical review
The wear of cutting tools, cutting force determination, surface roughness variations and other
machining responses are of keen interest to latest researchers. The variations of these …
machining responses are of keen interest to latest researchers. The variations of these …
Micromilling: a method for ultra-rapid prototyping of plastic microfluidic devices
This tutorial review offers protocols, tips, insight, and considerations for practitioners
interested in using micromilling to create microfluidic devices. The objective is to provide a …
interested in using micromilling to create microfluidic devices. The objective is to provide a …
Prediction of surface roughness in extrusion-based additive manufacturing with machine learning
Additive manufacturing (AM), also known as 3D printing, has been increasingly adopted in
the aerospace, automotive, energy, and healthcare industries over the past few years. While …
the aerospace, automotive, energy, and healthcare industries over the past few years. While …
An artificial neural network (p, d, q) model for timeseries forecasting
Artificial neural networks (ANNs) are flexible computing frameworks and universal
approximators that can be applied to a wide range of time series forecasting problems with a …
approximators that can be applied to a wide range of time series forecasting problems with a …
Predicting surface roughness in machining: a review
PG Benardos, GC Vosniakos - International journal of machine tools and …, 2003 - Elsevier
The general manufacturing problem can be described as the achievement of a predefined
product quality with given equipment, cost and time constraints. Unfortunately, for some …
product quality with given equipment, cost and time constraints. Unfortunately, for some …
Application of Taguchi method in the optimization of end milling parameters
JA Ghani, IA Choudhury, HH Hassan - Journal of materials processing …, 2004 - Elsevier
This paper outlines the Taguchi optimization methodology, which is applied to optimize
cutting parameters in end milling when machining hardened steel AISI H13 with TiN coated …
cutting parameters in end milling when machining hardened steel AISI H13 with TiN coated …
Artificial intelligence for automatic prediction of required surface roughness by monitoring wear on face mill teeth
Nowadays, face milling is one of the most widely used machining processes for the
generation of flat surfaces. Following international standards, the quality of a machined …
generation of flat surfaces. Following international standards, the quality of a machined …
Design of experiments and focused grid search for neural network parameter optimization
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 …
Artificial Neural Networks (ANNs) in machining processes. It proposes a method for an …
Hydrogen production optimization from sewage sludge supercritical gasification process using machine learning methods integrated with genetic algorithm
Hydrogen production from the supercritical water gasification (SCWG) of sewage sludge
(SS) is a sustainable and efficient process. However, the challenging and intricate task for …
(SS) is a sustainable and efficient process. However, the challenging and intricate task for …
A review of machining monitoring systems based on artificial intelligence process models
JV Abellan-Nebot, F Romero Subirón - The International Journal of …, 2010 - Springer
Many machining monitoring systems based on artificial intelligence (AI) process models
have been successfully developed in the past for optimising, predicting or controlling …
have been successfully developed in the past for optimising, predicting or controlling …