Predicting the Fatigue Life of an AlSi9Cu3 Porous Alloy Using a Vector-Segmentation Technique for a Geometric Parameterisation of the Macro Pores
Most of the published research work related to the fatigue life of porous, high-pressure, die-cast structures is limited to a consideration of individual isolated pores. The focus of this article is on calculating the fatigue life of high-pressure, die-cast, AlSi9Cu3 parts with many clustered macro...
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| Format: | Article |
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MDPI AG
2020-12-01
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| Series: | Metals |
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| Online Access: | https://www.mdpi.com/2075-4701/11/1/72 |
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| author | Dejan Tomažinčič Žiga Virk Peter Marijan Kink Gregor Jerše Jernej Klemenc |
| author_facet | Dejan Tomažinčič Žiga Virk Peter Marijan Kink Gregor Jerše Jernej Klemenc |
| author_sort | Dejan Tomažinčič |
| collection | DOAJ |
| description | Most of the published research work related to the fatigue life of porous, high-pressure, die-cast structures is limited to a consideration of individual isolated pores. The focus of this article is on calculating the fatigue life of high-pressure, die-cast, AlSi9Cu3 parts with many clustered macro pores. The core of the presented methodology is a geometric parameterisation of the pores using a vector-segmentation technique. The input for the vector segmentation is a <i>μ</i>-CT scan of the porous material. After the pores are localised, they are parameterised as 3D ellipsoids with the corresponding orientations in the Euclidian space. The extracted ellipsoids together with the outer contour are then used to build a finite-element mesh of the porous structure. The stress–strain distribution is calculated using Abaqus and the fatigue life is predicted using SIMULIA fe-safe. The numerical results are compared to the experimentally determined fatigue lives to prove the applicability of the proposed approach. The outcome of this research is a usable tool for estimating the limiting quantity of a structure’s porosity that still allows for the functional performance and required durability of a product. |
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| institution | Directory Open Access Journal |
| issn | 2075-4701 |
| language | English |
| last_indexed | 2024-03-10T13:34:31Z |
| publishDate | 2020-12-01 |
| publisher | MDPI AG |
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| series | Metals |
| spelling | doaj.art-0ea66a954ba94cd699071911777aef192023-11-21T07:36:04ZengMDPI AGMetals2075-47012020-12-011117210.3390/met11010072Predicting the Fatigue Life of an AlSi9Cu3 Porous Alloy Using a Vector-Segmentation Technique for a Geometric Parameterisation of the Macro PoresDejan Tomažinčič0Žiga Virk1Peter Marijan Kink2Gregor Jerše3Jernej Klemenc4Faculty of Mechanical Engineering, University of Ljubljana, Aškerčeva 6, 1000 Ljubljana, SloveniaFaculty of Computer and Information Science, University of Ljubljana, Večna pot 113, 1000 Ljubljana, SloveniaFaculty of Computer and Information Science, University of Ljubljana, Večna pot 113, 1000 Ljubljana, SloveniaFaculty of Computer and Information Science, University of Ljubljana, Večna pot 113, 1000 Ljubljana, SloveniaFaculty of Mechanical Engineering, University of Ljubljana, Aškerčeva 6, 1000 Ljubljana, SloveniaMost of the published research work related to the fatigue life of porous, high-pressure, die-cast structures is limited to a consideration of individual isolated pores. The focus of this article is on calculating the fatigue life of high-pressure, die-cast, AlSi9Cu3 parts with many clustered macro pores. The core of the presented methodology is a geometric parameterisation of the pores using a vector-segmentation technique. The input for the vector segmentation is a <i>μ</i>-CT scan of the porous material. After the pores are localised, they are parameterised as 3D ellipsoids with the corresponding orientations in the Euclidian space. The extracted ellipsoids together with the outer contour are then used to build a finite-element mesh of the porous structure. The stress–strain distribution is calculated using Abaqus and the fatigue life is predicted using SIMULIA fe-safe. The numerical results are compared to the experimentally determined fatigue lives to prove the applicability of the proposed approach. The outcome of this research is a usable tool for estimating the limiting quantity of a structure’s porosity that still allows for the functional performance and required durability of a product.https://www.mdpi.com/2075-4701/11/1/72AlSi9Cu3 alloymacro porosityvector segmentationelliptical pore modelhigh-pressure die-casting |
| spellingShingle | Dejan Tomažinčič Žiga Virk Peter Marijan Kink Gregor Jerše Jernej Klemenc Predicting the Fatigue Life of an AlSi9Cu3 Porous Alloy Using a Vector-Segmentation Technique for a Geometric Parameterisation of the Macro Pores Metals AlSi9Cu3 alloy macro porosity vector segmentation elliptical pore model high-pressure die-casting |
| title | Predicting the Fatigue Life of an AlSi9Cu3 Porous Alloy Using a Vector-Segmentation Technique for a Geometric Parameterisation of the Macro Pores |
| title_full | Predicting the Fatigue Life of an AlSi9Cu3 Porous Alloy Using a Vector-Segmentation Technique for a Geometric Parameterisation of the Macro Pores |
| title_fullStr | Predicting the Fatigue Life of an AlSi9Cu3 Porous Alloy Using a Vector-Segmentation Technique for a Geometric Parameterisation of the Macro Pores |
| title_full_unstemmed | Predicting the Fatigue Life of an AlSi9Cu3 Porous Alloy Using a Vector-Segmentation Technique for a Geometric Parameterisation of the Macro Pores |
| title_short | Predicting the Fatigue Life of an AlSi9Cu3 Porous Alloy Using a Vector-Segmentation Technique for a Geometric Parameterisation of the Macro Pores |
| title_sort | predicting the fatigue life of an alsi9cu3 porous alloy using a vector segmentation technique for a geometric parameterisation of the macro pores |
| topic | AlSi9Cu3 alloy macro porosity vector segmentation elliptical pore model high-pressure die-casting |
| url | https://www.mdpi.com/2075-4701/11/1/72 |
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