Systems and methods to predict fatigue lives of aluminum alloys under multiaxial loading

A fatigue life, aluminum alloy technology, applied in the direction of testing metals, measuring devices, instruments, etc., can solve the problems of shortened fatigue life of aluminum alloys, accelerated fatigue crack formation and extension, etc.

Active Publication Date: 2010-09-22
GM GLOBAL TECH OPERATIONS LLC
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  • Application Information

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Problems solved by technology

As a result, during non-proportional loading, a greater number of dislocations accumulate and stack near the discontinu

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  • Systems and methods to predict fatigue lives of aluminum alloys under multiaxial loading
  • Systems and methods to predict fatigue lives of aluminum alloys under multiaxial loading
  • Systems and methods to predict fatigue lives of aluminum alloys under multiaxial loading

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Embodiment Construction

[0132] Embodiments of the present invention generally relate to systems, methods, and articles for predicting the fatigue life of aluminum alloys under cyclic multiaxial loading. As described above, the fatigue life under at least one of multiaxial proportional and non-proportional loading can be predicted using the embodiments of the present invention. In this way, it is conceivable that these embodiments are operable to predict the fatigue life of an aluminum alloy under at least one of multiaxial proportional or non-proportional loading.

[0133] The embodiments respectively include and / or utilize at least one (but not limited to one) fatigue life model based on micromechanics to process at least one of the following: information related to aluminum alloy, and information related to aluminum alloy Present information related to the stress state to predict the fatigue life of the aluminum alloy. As used herein, "aluminum alloy" refers not only to the alloy itself, but also to ...

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Abstract

A system to predict a fatigue life of an aluminum alloy is disclosed herein. The system comprises a computer-readable medium cooperative with micromechanics-based fatigue life models for cyclic multiaxial loading. The fatigue life models predict the fatigue life by processing information received by the system relating to the aluminum alloy and the stress state present in the aluminum alloy. The received information comprises at least one of: a critical shear plane, a damage factor, a hardening factor defined by at least one of a plurality of uniaxial cyclic hardening factor parameters related to probabilistics of defects and microstructure characteristics in the aluminum alloy, an additional hardening factor related to non-proportionality, and thermophysical and mechanical properties of the aluminum alloy. The defects and microstructure characteristics can be calculated using mathematical modeling of casting, solidification and heat treatment processes or by an extreme value statistics based on metallography measurements.

Description

Technical field [0001] The present invention generally relates to predicting the fatigue life of aluminum alloys, and more particularly to systems, methods, and articles for predicting the fatigue life of aluminum alloys under at least one of multiaxial proportional and non-proportional loading. Background technique [0002] The fatigue life prediction of traditional aluminum alloys, especially aluminum castings, has faced challenges, not only due to the complexity of the microstructure, but also due to the uncertainty of the number of defects. Under multiaxial and especially non-proportional loading, defects and microstructural discontinuities often play an important role in crack formation and fatigue performance. It is believed that the accumulation and stacking of defects and dislocations near the discontinuities can be attributed to the local stress concentration and the resulting fatigue crack formation and extension. The degree of dislocation accumulation and stacking nea...

Claims

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Application Information

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IPC IPC(8): G01N33/20
CPCG06F17/5009G01N2203/0218G01N2203/0073G06F2217/10G01N2203/0246G06F2111/08G06F30/20
Inventor Q·王Y·王G·何C·陈Z·胡X·刘D·莫
Owner GM GLOBAL TECH OPERATIONS LLC
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