The platform will undergo maintenance on Sep 14 at about 7:45 AM EST and will be unavailable for approximately 2 hours.
J. of Materi Eng and Perform
 2023
DOI: 10.1007/s11665-023-08555-4
|View full text |Cite
|
Sign up to set email alerts
|

Prediction of Cutting Forces in Hard Turning Process Using Machine Learning Methods: A Case Study

Souâd Makhfi
1
,
Abdelhakim Dorbane
2
,
Fouzi Harrou
3
et al.
Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...

Citation Types

0
0
0

Year Published

2023
2023
2024
2024

Publication Types

Select...
3
1

Relationship

0
4

Authors

Journals

citations
Cited by 4 publications
references
References 40 publications
0
0
0
Order By: Relevance

Machine Learning Prediction of Aluminum Alloy Stress–Strain Curves at Variable Temperatures with Failure Analysis

Dorbane,
Harrou,
Anghel
et al. 2023
J Fail. Anal. and Preven.
2
0
0
0
View full textAdd to dashboardCite

Machine Learning Prediction of Aluminum Alloy Stress–Strain Curves at Variable Temperatures with Failure Analysis

Dorbane,
Harrou,
Anghel
et al. 2023
J Fail. Anal. and Preven.
2
0
0
0
View full textAdd to dashboardCite

Prediction of the cutting forces in milling operation based on multi-objective optimization of the time series analysis parameters

Pour,
Fallah
2024
Machining Science and Technology
0
0
0
0
View full textAdd to dashboardCite

Gaussian Processes for Efficient Photovoltaic Power Prediction

Achouri,
Damou,
Harrou
et al. 2023
2023 International Conference on Decision Aid Sciences and Applications (DASA)
1
0
0
0
View full textAdd to dashboardCite
scite logo

scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.

Contact Info

hi@scite.ai

10624 S. Eastern Ave., Ste. A-614

Henderson, NV 89052, USA

Product
Browser ExtensionAssistant by sciteCitation Statement SearchReference CheckVisualizationsDashboardsExplore JournalsExplore OrganizationsExplore FundersEmbedding BadgeEmbedding Citation SearchPricing
Resources
BlogHelp & FAQAccessibility StatementAPI TermsFor Universities & GovernmentsFor ResearchersFor PublishersFor Corporate, Pharma & EnterpriseAuthor MarketingBecome an AffiliateGet an organization trial or quotescite Data & Services
About
News & PressCareersRead our PaperCoverage

BlogTerms and ConditionsAPI TermsPrivacy PolicyContactCookie PreferencesDo Not Sell or Share My Personal Information

Copyright © 2024 scite LLC. All rights reserved.

Made with 💙 for researchers

Part of the Research Solutions Family.