Machine learning models for surface roughness monitoring in machining operations-Reference-Cited by-同舟云学术

登录注册会员服务联系我们

Machine learning models for surface roughness monitoring in machining operations

Published:2022 Issue: Volume:108 Page:710-715
ISSN:2212-8271
Container-title:Procedia CIRP
language:en
Short-container-title:Procedia CIRP

Author:

Motta Mariane Prado,Pelaingre Cyril,Delamézière Arnaud,Ayed Lanouar Ben,Barlier Claude

Funder

ANRT

Agence Nationale de Recherches sur le Sida et les Hépatites Virales

Publisher

Elsevier BV

Subject

General Medicine

Reference33 articles.

1. Estimation of surface roughness using cutting parameters, force, sound, and vibration in turning of Inconel 718;Deshpande;Journal of the Brazilian Society of Mechanical Sciences and Engineering,2017

2. Image-based Measurement of Material Roughness using Machine Learning Techniques;Giusti;Procedia CIRP,2020

3. Dynamic characterization of machining robot and stability analysis;Mejri;The International Journal of Advanced Manufacturing Technology,2016

4. Tool Wear Condition Prediction Using Vibration Signals in High Speed Machining (HSM) of Titanium (Ti-6Al-4V) Alloy;Krishnakumar;Procedia Computer Science,2015

5. Analysis of acoustic emission signals and monitoring of machining processes;Govekar;Ultrasonics,2000

Cited by 12 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. Estimation of surface quality for turning operations using machine learning approach;Tribology - Materials, Surfaces & Interfaces;2024-08-28

2. Experimental and machine learning comparison for measurement the machinability of nickel based alloy in pursuit of sustainability;Measurement;2024-08

3. Multi-Objective Process Parameter Optimization of Ultrasonic Rolling Combining Machine Learning and Non-Dominated Sorting Genetic Algorithm-II;Materials;2024-06-03

4. Deep-learning-assisted online surface roughness monitoring in ultraprecision fly cutting;Science China Technological Sciences;2024-04-25

5. Surface texture analysis in polycrystalline alloys via an artificial neural network;Measurement;2024-03

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线，采集、加工和组织学术论文而形成的新型学术文献查询和分析系统，可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容，当前同舟云学术共收录了国内外主流学术期刊6万余种，收集的期刊论文及会议论文总量共计约1.5亿篇，并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询！咨询电话：010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号京ICP备18003416号-3