Using Neural Networks to Predict the Hardness of Aluminum Alloys
Aluminum alloys have gained significant industrial importance being involved in many of the light and heavy industries and especially in aerospace engineering. The mechanical properties of aluminum alloys are defined by a number of principal microstructural features. Conventional mathematical models...
Main Author: | B. Zahran |
---|---|
Format: | Article |
Language: | English |
Published: |
D. G. Pylarinos
2015-02-01
|
Series: | Engineering, Technology & Applied Science Research |
Subjects: | |
Online Access: | https://etasr.com/index.php/ETASR/article/view/529 |
Similar Items
-
Using Neural Networks to Predict the Hardness of Aluminum Alloys
by: B. Zahran
Published: (2015-02-01) -
Artificial Neural Networks-Based Prediction of Hardness of Low-Alloy Steels Using Specific Jominy Distance
by: Sunčana Smokvina Hanza, et al.
Published: (2021-04-01) -
INFLUENCE OF THE THICKNESS OF Ni-P COATING APPLIED ON 7075 ALUMINUM ALLOY ON ITS HARDNESS
by: Kazimierz Czapczyk, et al.
Published: (2016-12-01) -
Prediction of Mechanical Properties by Artificial Neural Networks to Characterize the Plastic Behavior of Aluminum Alloys
by: David Merayo, et al.
Published: (2020-11-01) -
Characterization and Tribological Properties of Hard Anodized and Micro Arc Oxidized 5754 Quality Aluminum Alloy
by: M. Ovundur, et al.
Published: (2015-03-01)