Intelligent parameters reconfiguration system for enhancing machine tools sustainability using real-time data-driven: an experimental cutting speed investigation-Reference-Cited by-同舟云学术

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Intelligent parameters reconfiguration system for enhancing machine tools sustainability using real-time data-driven: an experimental cutting speed investigation

Published:2024-03-23 Issue: Volume: Page:1-22
ISSN:0951-192X
Container-title:International Journal of Computer Integrated Manufacturing
language:en
Short-container-title:International Journal of Computer Integrated Manufacturing

Author:

Skrzek Murillo¹,Szejka Anderson Luis¹^ORCID,Mas Fernando²³

Affiliation:

1. Industrial and Systems Engineering Department, Pontifical Catholic University of Parana (PUCPR), Curitiba, Brazil

2. Mechanical and Manufacturing Engineering, University of Seville (US), Seville, Spain

3. M&M Group, El Puerto de Santa María, Spain

Funder

Conselho Nacional de Desenvolvimento Científico e Tecnológico

Publisher

Informa UK Limited

Link

https://www.tandfonline.com/doi/pdf/10.1080/0951192X.2024.2328039

Reference31 articles.

1. Knowledge-based expert system to support the semantic interoperability in smart manufacturing

2. An intelligent prediction model of the tool wear based on machine learning in turning high strength steel

3. MACHINE LEARNING-BASED MODELING AND OPTIMIZATION IN HARD TURNING OF AISI D6 STEEL WITH ADVANCED AlTiSiN-COATED CARBIDE INSERTS TO PREDICT SURFACE ROUGHNESS AND OTHER MACHINING CHARACTERISTICS

4. Chip formation in machining hybrid components of SAE1020 and SAE5140

5. Intelligent Turning Tool Monitoring with Neural Network Adaptive Learning

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1. Knowledge-based expert system to drive an informationally interoperable manufacturing system: An experimental application in the Aerospace Industry;Journal of Industrial Information Integration;2024-09

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