Surface roughness classification of electro discharge machined surfaces with deep ensemble learning-Reference-Cited by-同舟云学术

Surface roughness classification of electro discharge machined surfaces with deep ensemble learning

Published:2023-06 Issue: Volume:215 Page:112855
ISSN:0263-2241
Container-title:Measurement
language:en
Short-container-title:Measurement

Author:

Anagün Yıldıray,Işik Şahin,Hayati Çakir Fatih

Funder

Eskişehir Osmangazi Üniversitesi

Publisher

Elsevier BV

Subject

Applied Mathematics,Electrical and Electronic Engineering,Condensed Matter Physics,Instrumentation

Reference32 articles.

1. Technology mining: artificial intelligence in manufacturing;Zeba;Technol. Forecast. Soc. Chang.,2021

2. Smart machining process using machine learning: a review and perspective on machining industry;Kim;Int. J. of Precis. Eng. and Manuf.-Green Tech.,2018

3. Improvement of tool life of a commercial drill bits by cryogenic treatment while machining widmanstatten Ti-6Al-4V;Sert;Surf. Topogr.: Metrol. Prop.,2021

4. A new approach to monitor wear tracks propagation on-site with electromechanical impedance technique;Tekkalmaz;J. Intell. Mater. Syst. Struct.,2022

5. Evaluation of turned and milled surfaces roughness using convolutional neural network;Rifai;Measurement,2020

Cited by 6 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Rulman Titreşim Verilerinden Derin Öğrenme Tabanlı Arıza Tespiti;Karadeniz Fen Bilimleri Dergisi;2024-09-15

2. Classification of surface roughness for milled A6061 aluminum alloy based on depth map models with convolutional neural networks;Forschung im Ingenieurwesen;2024-08-12

3. Changeable environment visual detection of grinding surface roughness based on lightweight network;Nondestructive Testing and Evaluation;2024-04-09

4. Wire-breakage prediction during WEDM of Ni-based superalloy using machine learning-based classifier approaches;International Journal on Interactive Design and Manufacturing (IJIDeM);2023-12-18

5. Prediction and classification of tool wear and its state in sustainable machining of Bohler steel with different machine learning models;Measurement;2023-12