Artifical intelligence inspired approach to numerically investigate chip morphology in machining AISI630

This study examines AISI630 steel to gain insight into the chip morphology. Chip morphology provides useful information about the plastic shear deformation involved in the machining process. The presented study aims to integrate the innovative artificial intelligence driven method to efficiently ana...

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Vydáno v:	International journal on interactive design and manufacturing Ročník 18; číslo 9; s. 6655 - 6672
Hlavní autoři:	Ali, Shafahat, Alshibi, Assem, Nasreldin, Abdelrahman, Pervaiz, Salman
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	Paris Springer Paris 01.11.2024 Springer Nature B.V
Témata:	Algorithms Artificial intelligence CAE) and Design Compression ratio Computer-Aided Engineering (CAD Cooling Deformation Deformation analysis Electronics and Microelectronics Engineering Engineering Design Error analysis Geometry Image compression Image processing Image segmentation Industrial Design Instrumentation Machining Mechanical Engineering Morphology Original Paper Shear deformation Simulation Software Stainless steel Stainless steels Titanium alloys Velocity Workpieces Cutting Smart, AI Chip morphology Artificial intelligence Machining
ISSN:	1955-2513, 1955-2505
On-line přístup:	Získat plný text
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