Digital object memory based monitoring solutions in manufacturing processes

T Aruväli, W Maass, T Otto - Procedia Engineering, 2014 - Elsevier
Manufacturing processes monitoring is more than conventional machinery monitoring, it
covers also a part quality monitoring and manual working processes monitoring. To explain …

[PDF][PDF] Prediction of electrochemical machining process parameters using artificial neural networks

HH Abuzied, MA Awad, HA Senbel - International Journal on …, 2012 - researchgate.net
Electrochemical machining (ECM) is a non-traditional machining process used mainly to cut
hard or difficult to cut metals, where the application of a more traditional process is not …

Design and fabrication of a novel vibrational system for ultrasonic assisted oblique turning process

H Razavi, M Mirbagheri - Journal of Mechanical Science and Technology, 2016 - Springer
We designed and fabricated suitable vibrational equipment for ultrasonic assisted oblique
turning process to enable researchers to perform experimental tests with the operating …

Pattern recognition based surface roughness prediction in turning hybrid metal matrix composite using random forest algorithm

N Radhika, S Babudeva Senapathi… - Industrial Lubrication …, 2013 - emerald.com
Purpose–The purpose of this paper is surface roughness prediction using pattern
recognition for the aluminium hybrid metal matrix composite (HMMC). Design/methodology …

Mechanistic model of work-piece diametrical error in conventional and ultrasonic assisted turning

H Soleimanimehr, MJ Nategh… - Advanced Materials …, 2012 - Trans Tech Publ
The spring back is a major source of diametrical error occurring in turning of workpieces. In
order to analyze diametrical error, an elastic deflection model of workpiece should be …

Performance of predicting surface quality model using softcomputing, a comparative study of results

V Flores, M Correa, Y Quiñonez - … on the Interplay Between Natural and …, 2017 - Springer
This paper describes a comparative study of performance of two models predicting surface
quality in high-speed milling (HSM) processes using two different machining centers. The …

[PDF][PDF] ANN based model development for material removal rate in dry turning in Indian context

MR Phate, VH Tatwawadi - Int J Mech Aero Ind Mechatron Manuf …, 2014 - researchgate.net
This paper is intended to develop an artificial neural network (ANN) based model of material
removal rate (MRR) in the turning of ferrous and nonferrous material in a Indian small-scale …

Modelo Pre-proceso de predicción de la calidad superficial en Fresado a Alta Velocidad basado en Softcomputing

VM Flores, M Correa, JR Alique - … de Automática e Informática Industrial RIAI, 2011 - Elsevier
La calidad superficial es uno de los aspectos más cuidados en la fabricación de piezas.
Esta calidad se estima frecuentemente en función a la rugosidad superficial. Trabajos que …

Intelligent modeling and optimization of ECM process parameters

TM Chenthil Jegan, D Ravindran… - Artificial Intelligence and …, 2015 - Springer
Electrochemical machining (ECM) is an unconventional process used for the machining of
hard materials and metal matrix composites. In the present work, the artificial neural network …

Modeling of high-speed finish milling process using soft computing

B Surekha, PR VUNDAVILLI… - … Journal of Modeling …, 2010 - World Scientific
In the present study, forward modeling of high-speed finish milling process has been solved
using soft computing. Two different approaches, namely neural network (NN) and fuzzy logic …