[HTML][HTML] Epoxy composite reinforced with jute/basalt hybrid–Characterisation and performance evaluation using machine learning techniques

A Gadagi, B Sivaprakash, C Adake… - Composites Part C …, 2024 - Elsevier
Epoxy resins, prized for their versatile properties, are derived from bio-based materials,
contributing to sustainability and eco-friendliness in both production and application. This …

An investigation of hybrid models FEA coupled with AHP-ELECTRE, RSM-GA, and ANN-GA into the process parameter optimization of high-quality deep-drawn …

SPS Singh Sivam, R Rajendran… - … Based Design of …, 2024 - Taylor & Francis
Deep drawing is one of the primary sheet metal forming processes that is used all over the
world. The current study focused on using Analytical Hierarchy Process-Elimination and …

Prediction of surface roughness in turning using vibration features selected by largest Lyapunov exponent based ICEEMDAN decomposition

V Guleria, V Kumar, PK Singh - Measurement, 2022 - Elsevier
The prediction of surface roughness during turning using indirect methods helps improve the
quality of production. This study proposes an intelligent surface roughness prediction …

Estimation of surface roughness using cutting parameters, force, sound, and vibration in turning of Inconel 718

Y Deshpande, A Andhare, NK Sahu - Journal of the Brazilian Society of …, 2017 - Springer
The present work is aimed at in-process estimation of surface roughness using cutting
parameters along with cutting force, sound, and vibration in turning of Inconel 718 with …

Application of ANN to estimate surface roughness using cutting parameters, force, sound and vibration in turning of Inconel 718

YV Deshpande, AB Andhare, PM Padole - SN Applied Sciences, 2019 - Springer
In this paper, artificial neural network approach is used to predict surface roughness using
cutting parameters, force, sound and vibration in turning of Inconel 718. Experiments were …

Experimental investigation of copper nanofluid based minimum quantity lubrication in turning of H 11 steel

K Ganesan, M Naresh Babu, M Santhanakumar… - Journal of the Brazilian …, 2018 - Springer
Plentiful supply of coolant might enhance the machining cost and also generates
environmental hazard. As a result, substitute methods are required to eliminate the problems …

A novel approach for prediction of surface roughness in turning of EN353 steel by RVR-PSO using selected features of VMD along with cutting parameters

V Guleria, V Kumar, PK Singh - Journal of Mechanical Science and …, 2022 - Springer
The abrupt changes in tool-workpiece interaction during machining process induce variation
in the surface quality of work material. These interactions include built-up edge formation …

[PDF][PDF] Design optimization in hard turning of E19 alloy steel by analysing surface roughness, tool vibration and productivity

MW Azizi, O Keblouti, L Boulanouar… - Structural Engineering …, 2020 - researchgate.net
In the present work, the optimization of machining parameters to achieve the desired
technological parameters such as surface roughness, tool radial vibration and material …

Surface roughness prediction in turning processes using CEEMD-based vibration signal denoising and LSTM networks

A Athisayam, M Kondal - Proceedings of the Institution of …, 2024 - journals.sagepub.com
Surface roughness plays a pivotal role in assessing machining quality, and numerous
research efforts have been devoted to predicting surface roughness in turning processes …

Application of statistical and soft computational techniques in machining of Nickel based supper-alloy using cryogenically treated tools for estimation of surface …

YV Deshpande, AB Andhare… - Australian Journal of …, 2023 - Taylor & Francis
In this paper, surface roughness prediction models are developed for turning of Inconel 718
using untreated and cryogenically treated inserts by using Dimensional Analysis, Response …