Anzeige der Dokumente 1-7 von 7
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An ANN approach on the optimization of the cutting parameters during CNC plasma-arc cutting
(2010)The objective of the present study is to develop an Artificial Neural Network (ANN) in order to predict the bevel angle (response variable) during CNC plasma-arc cutting of St37 mild steel plates. The four (4) input ... -
A comparative investigation of Taguchi and full factorial design for machinability prediction in turning of a titanium alloy
(2020)This study investigates the machinability performance during dry longitudinal turning of Ti-6Al-4V-ELI titanium alloy using Taguchi Experimental Design (TED) and full factorial design (FFD). Main cutting force (Fc) and ... -
Influence of surface topography on corrosion of stainless steel AISI 304 turned surfaces with different cutting conditions
(2007)In this study, the correlation between corrosion behaviour and formations, and topographic characteristics of machined surfaces of stainless steel AISI 304 is investigated. Face turning was performed for combinations of ... -
Multi-parameter identification and control of turned surface textures
(2006)A method for characterizing turned surface textures corresponding to varying cutting variables leading to differing profile shape is presented with emphasis on a global view of turning machinability parameters. Through a ... -
Phenomenological investigation of cutting oils: Antifriction and antiwear behaviour at low contact temperatures
(2001)The basic reason for the use of cutting fluids in machining processes is to increase cutting tool life and to decrease machining costs. An experimental simulation of tribological processes representing rear cutting tool ... -
Prediction of cutting forces during turning PA66 GF-30 glass fiber reinforced polyamide by soft computing techniques
(2013)In the present paper the influence of the main cutting parameters on process performance during longitudinal turning of PA66 GF-30 Glass Fiber Reinforced Polyamide is investigated. The selected cutting parameters are cutting ... -
Prediction of surface roughness in turning using orthogonal matrix experiment and neural networks
(2010)A neural network modeling approach is presented for the prediction of surface texture parameters during turning of a copper alloy (GC-CuSnl2). Test specimens in the form of near-to-net-shape bars and a titanium nitride ...