Recent advances on machine learning applications in machining processes

F Aggogeri, N Pellegrini, FL Tagliani - Applied sciences, 2021 - mdpi.com
This study aims to present an overall review of the recent research status regarding Machine
Learning (ML) applications in machining processes. In the current industrial systems …

Prediction of surface roughness in CNC face milling using neural networks and Taguchi's design of experiments

PG Benardos, GC Vosniakos - Robotics and Computer-Integrated …, 2002 - Elsevier
In this paper, a neural network modeling approach is presented for the prediction of surface
roughness (Ra) in CNC face milling. The data used for the training and checking of the …

Surface roughness monitoring application based on artificial neural networks for ball-end milling operations

G Quintana, ML Garcia-Romeu, J Ciurana - Journal of Intelligent …, 2011 - Springer
Surface roughness plays an important role in the performance of a finished part. The
roughness is usually measured off-line when the part is already machined, although in …

Estimation of contact force on composite plates using impact-induced strain and neural networks

K Chandrashekhara, AC Okafor, YP Jiang - Composites Part B …, 1998 - Elsevier
A method of determining the contact force on laminated composite plates subjected to low
velocity impact is developed using the finite element method and a neural network. The …

Prediction of cutting forces in 3-axes milling of sculptured surfaces directly from CAM tool path

N Zeroudi, M Fontaine, K Necib - Journal of Intelligent Manufacturing, 2012 - Springer
In the present work a new approach for the modelling of milling is described. The cutting
forces are calculated for milling operations directly from the tool path provided by a …

[PDF][PDF] Monitoring and analysis of MRR-based feedrate optimization approach and effects of cutting conditions using acoustic sound pressure level in free-form surface …

E Bagci - Scientific Research and Essays, 2011 - Citeseer
Sculptured surface machining (SSM) is one of the continually used manufacturing processes
for die/mold, aerospace (especially turbine blades), precision machine design, bio-medical …

Cutting parameters analysis for the development of a milling process monitoring system based on audible energy sound

EM Rubio, R Teti - Journal of Intelligent Manufacturing, 2009 - Springer
Monitoring of machining processes is a critical requirement in the implementation of any
unmanned operation in a shop floor and, particularly, in the establishment of Flexible …

[图书][B] Computer-aided Maintenance: methodologies and practices

J Lee, B Wang - 2012 - books.google.com
In today's business environment, reliability and maintenance drastically affect the three key
elements of competitiveness-quality, cost, and product lead time. Well-maintained machines …

[HTML][HTML] Experimental investigation of effect of tool path strategies and cutting parameters using acoustic signal in complex surface machining

E Bağci - Journal of Vibroengineering, 2017 - extrica.com
High productive milling of complex sculptured surfaces is extremely important in many
different industries. Determination of the appropriate tool path styles and milling parameters …

[PDF][PDF] Artificial Intelligent Model to Predict Surface Roughness in Laser Machining

MM Noor, K Kadirgama, MRM Rejab… - … on Recent Advances …, 2009 - umpir.ump.edu.my
Abstract Light Amplification Stimulation Emission of Radiation or the common name is Laser.
The laser light differs from ordinary light due to it has the photons of same frequency …