Browsing by Subject "Analysis of variance (ANOVA)"
Now showing items 1-7 of 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 ... -
Citric acid-based deep eutectic solvent for the anthocyanin recovery from Hibiscus sabdariffa through microwave-assisted extraction
(2022)In the current study, Hibiscus sabdariffa has been extracted by microwave-assisted extraction (MAEX). Citric acid-based deep eutectic solvents (DES) have been specially designed, where a hydrogen bond donor (HBD) (glycerol ... -
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 ... -
A Generalised Approach on Kerf Geometry Prediction during CO2 Laser cut of PMMA Thin Plates using Neural Networks
(2021)This study presents an application of feedforward and backpropagation neural network (FFBP-NN) for predicting the kerf characteristics, i.e. the kerf width in three different distances from the surface (upper, middle and ... -
Modeling and optimization of flexural properties of FDM-processed PET-G specimens using RSM and GWO algorithm
(2022)As in every manufacturing process, fused deposition modeling (FDM) is strongly related to its operational parameters. 3D-printed components are anisotropic and brittle and this imposes the need to investigate the effect ... -
Multi-parameter modeling of surface texture in EDMachining using the design of experiments methodology
(2006)This study concerns the formulation of a multi-parameter surface texture model in EDMachining of AISI D2 tool steel. The model is developed in terms of pulse current and pulse-on time which are the dominant machining ... -
A new co-learning method in spatial complex fuzzy inference systems for change detection from satellite images
(2022)The detection of spatial and temporal changes (or change detection) in remote sensing images is essential in any decision support system about natural phenomena such as extreme weather conditions, climate change, and floods. ...