Application of Image Processing to Predict Compressive Behavior of Aluminum Foam

• Autorzy: Kim S. , Chung H. J. , Rhee K.

Identyfikatory

DOI

10.1515/amm-2016-0108

• Języki publikacji: EN

Abstrakty

EN

An image processing technique was used to model the internal structure of aluminum foam in finite element analysis in order to predict the compressive behavior of the material. Finite element analysis and experimental tests were performed on aluminum foam with densities of 0.2, 0.25, and 0.3 g/cm3. It was found that although the compressive strength predicted from the finite element analysis was higher than that determined experimentally, the predicted compressive stress-strain curves exhibited a tendency similar to those determined from experiments for both densities. However, the behavior of the predicted compressive stress-strain curves was different from the experimental one as the applied strain increased. The difference between predicted and experimental stress-strain curves in a high strain range was due to contact between broken aluminum foam walls by the large deformation.

Słowa kluczowe

EN

aluminum foam; compute tomography (CT) image; finite element method (FEM)

• Wydawca: Institute of Metallurgy and Materials Science of Polish Academy of Sciences ; Committee of Materials Engineering and Metallurgy of Polish Academy of Sciences
• Czasopismo: Archives of Metallurgy and Materials
• Rocznik: 2016
• Tom: Vol. 61, iss. 2A
• Strony: 635--640
• Opis fizyczny: Bibliogr. 18 poz., rys.

Twórcy

autor

Kim S.

• Department of Mechanical Engineering, KyungHee University, Yongin, Korea

autor

Chung H. J.

• CAE Technology Group, Production Engineering Center, LS Cable 27,Gongdan-ro 140beon-gil, Gunpo-si, Gyeonggi-do 453-831 Korea

autor

Rhee K.

• Department of Mechanical Engineering, KyungHee University, Yongin, Korea

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