Numerical, experimental, and analytical investigation of the skin contamination evolution in the extrusion of different industrial profiles

In the context of aluminum alloy extrusion, the presence of the skin contamination defect imposes the scrap of the contaminated profile length due to its lower mechanical properties. For understanding the evolution of the defect, comprehensive analyses, either experimental investigations or reliance...

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Bibliographic Details
Published in:International journal of advanced manufacturing technology 2024-04, Vol.131 (9-10), p.4727-4738
Main Authors: Negozio, Marco, Pelaccia, Riccardo
Format: Article
Language:English
Subjects:
Accuracy
Advanced manufacturing technologies
Alloys
Aluminum alloys
Aluminum base alloys
CAE) and Design
Casting
Civil engineering
Computer-Aided Engineering (CAD
Contamination
Defects
Empirical analysis
Engineering
Evolution
Extrusion
Extrusion dies
Finite element method
Geometry
Industrial and Production Engineering
Manufacturing
Mechanical Engineering
Mechanical properties
Media Management
Numerical analysis
Numerical methods
Original Article
Simulation
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Summary:In the context of aluminum alloy extrusion, the presence of the skin contamination defect imposes the scrap of the contaminated profile length due to its lower mechanical properties. For understanding the evolution of the defect, comprehensive analyses, either experimental investigations or reliance on predictive techniques, are mandatory. Recently, numerical methods have gained interest in predicting the development of skin contamination, although their level of accuracy remains uncertain. This research focuses on a detailed experimental and numerical analysis of three different AA6XXX industrial extruded profiles. The aim is to compare the evolution of the skin contamination experimentally observed with the outcomes of the simulation using the commercial finite element code Qform Extrusion UK. The main findings of the analysis confirmed the potentiality and the accuracy of the numerical tools, also evidencing the current limitations of the empirical and analytical industrial practices.
ISSN:0268-3768
1433-3015
DOI:10.1007/s00170-024-13329-w