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Digital object memory based monitoring solutions in manufacturing processes
Manufacturing processes monitoring is more than conventional machinery monitoring, it
covers also a part quality monitoring and manual working processes monitoring. To explain …
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
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 …
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
We designed and fabricated suitable vibrational equipment for ultrasonic assisted oblique
turning process to enable researchers to perform experimental tests with the operating …
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 …
recognition for the aluminium hybrid metal matrix composite (HMMC). Design/methodology …
Mechanistic model of work-piece diametrical error in conventional and ultrasonic assisted turning
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 …
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
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 …
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 …
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
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 …
Esta calidad se estima frecuentemente en función a la rugosidad superficial. Trabajos que …
Intelligent modeling and optimization of ECM process parameters
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 …
hard materials and metal matrix composites. In the present work, the artificial neural network …
Modeling of high-speed finish milling process using soft computing
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 …
using soft computing. Two different approaches, namely neural network (NN) and fuzzy logic …