Πλοήγηση ανά Συγγραφέα "Kechagias, J."
Αποτελέσματα 1-8 από 8
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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 ... -
Application of Taguchi design for quality characterization of abrasive water jet machining of TRIP sheet steels
(2012)In the present paper, the influence of sheet thickness, nozzle diameter, standoff distance, and traverse speed during abrasive water jet machining (AWJM) of transformation-induced plasticity (TRIP) sheet steels on surface ... -
Finite elements analysis of cylindrical copper shelled SLA electrodes
(2010)A cylindrical copper shelled SLA electrode was modelled and analysed using the finite element method. The thickness of the silver paint is assumed to be uniform and constant around the SLA epoxy core with a value of 15 ... -
The impact of FEM modeling parameters on the computed thermo-mechanical behavior of SLA copper shelled electrodes
(2011)In this study, the authors use the finite element method to model and analyse a cylindrical copper shelled SLA electrode for EDM operations, which is investigated experimentally in literature. A uniform silver paint thickness ... -
An investigation into abrasive water jet machining of TRIP sheet steels using Taguchi technique and regression models
(2013)An experimental investigation of abrasive water-jet machining (AWJM) of transformation induced plasticity (TRIP) multi-phase sheet steels using design of experiments was carried out. The quality characteristics selected ... -
Modeling of abrasive water jet machining using Taguchi method and artificial neural networks
(2011)This work presents a hybrid approach based on the Taguchi method and the Artificial Neural Networks (ANNs) for the modeling of surface quality characteristics in Abrasive Water Jet Machining (AWJM). The selected inputs of ... -
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 ...