Parcourir par sujet "Taguchi"
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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 ... -
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 ... -
Multi-parameter optimization of PLA/Coconut wood compound for Fused Filament Fabrication using Robust Design
(2022)This study investigates the effects of four variables during fused filament fabrication of organic biocompatible composite material, PLA with coconut flour, at the ultimate tensile strength (UTS), and elasticity module (E) ... -
Parameter optimization during finish end milling of Al alloy 5083 using robust design
(2011)The influence of cutter geometry and cutting parameters during end milling on the surface texture of aluminium (Al) alloy 5083 was experimentally investigated. Eighteen pockets were manufactured having different combination ... -
A robust methodology for optimizing the topology and the learning parameters of an ANN for accurate predictions of laser-cut edges surface roughness
(2022)The Feed-Forward and Backpropagation Artificial Neural Networks (FFBP-ANN) are generally employed for cut surfaces quality characteristics predictions. However, the determination of the neurons on the hidden layer and the ...