Investigation and Prediction of ECMM characteristics of Hardened Die Steel with Nanoparticle Added Electrolytes Using Hybrid Deep Neural Network

Data publikacji: 26 gru 2022

Zakres stron: 7 - 22

DOI: https://doi.org/10.2478/pjct-2022-0024

Słowa kluczowe

ECMM, Die hardened steel, machining parameters, RSM, hybrid, neural network, prediction

© 2022 Vijayakumar Kanniyappan et al., published by Sciendo

This work is licensed under the Creative Commons Attribution 4.0 International License.