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Pre-service thermodynamic training process simulation method for shape memory alloy wave spring drivers

A memory alloy and process simulation technology, applied in design optimization/simulation, instruments, special data processing applications, etc., can solve problems such as low training efficiency, inability to realize pre-service training of complex SMA components, and achieve the effect of overcoming low efficiency

Active Publication Date: 2018-11-06
NORTHWESTERN POLYTECHNICAL UNIV
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Problems solved by technology

[0005] The pre-service thermodynamic training process of the SMA wave spring driver involves key issues such as multi-field coupling, finite deformation, and cyclic loads. In view of the shortcomings in the background literature that the training efficiency is low and the pre-service training of complex SMA components cannot be realized, the present invention provides A simulation method for the pre-service training process of SMA wave spring actuators. The SMA constitutive model considering the accumulation of residual deformation and the degradation of material thermodynamic properties under the condition of large deformation cycle cyclic loading is established at the theoretical level. In terms of numerical values, the model is integrated into commercial use through secondary development. In the finite element software and form a set of SMA wave spring driver pre-service training process simulation method

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  • Pre-service thermodynamic training process simulation method for shape memory alloy wave spring drivers
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  • Pre-service thermodynamic training process simulation method for shape memory alloy wave spring drivers

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Embodiment Construction

[0031] Embodiments of the present invention are described in detail below, and the embodiments are exemplary and intended to explain the present invention, but should not be construed as limiting the present invention.

[0032] The simulation method for the pre-service thermodynamic training process of the shape memory alloy wave spring driver in this embodiment includes the following steps:

[0033] Step 1: Determine the mechanical properties of the material:

[0034] Select the SMA wire made of the same material as the wave spring driver to carry out uniaxial cycle loading and unloading experiments, measure the influence of strain rate, ambient temperature and maximum stress on the mechanical response of SMA materials, and obtain the thermodynamic properties of SMA materials under different load conditions, including Stress-strain relationship, maximum residual deformation, maximum recoverable deformation, and number of stabilization cycles.

[0035] In this example, the ex...

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Abstract

The invention discloses a pre-service thermodynamic training process simulation method for shape memory alloy wave spring drivers. According to the method, an SMA constitutive model which considers residual deformation accumulation and material thermodynamic performance degradation under large-deformation period cyclic loading conditions is established in a layer of theory; and the model is integrated into commercial finite element software through secondary development in a layer of numerical value so as to form the pre-service thermodynamic training process simulation method for SMA wave spring drivers. Simulation prediction results can correctly describe phenomena such as phase change domain extension, residual deformation accumulation and internal stress concentration in the pre-service thermodynamic training process of the SMA wave spring drivers, and important reference can be provided for SMA components in the aspects of improving the size design accuracy and strengthening the bidirectional memory effect.

Description

technical field [0001] The invention relates to a simulation method for a pre-service training process of a shape memory alloy driver, in particular to a simulation method for a pre-service thermodynamic training process of a shape memory alloy wave spring driver. Background technique [0002] Shape memory alloy (Shape Memory Alloy, hereinafter referred to as SMA), as a typical smart material, has excellent thermodynamic properties such as shape memory effect, superelasticity and high damping, and has been used in aerospace, biomedicine, transportation, unmanned Systems and MEMS have been widely used. [0003] In the engineering application environment, SMA functional components are often subjected to cyclic loads. During the initial dozens or even hundreds of cycles of loading and unloading, the thermodynamic properties of SMA materials show strong instability, mainly manifested as residual deformation accumulation and superelastic degradation. Therefore, in order to achi...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F17/50
CPCG06F30/23G06F2119/06
Inventor 王骏朱继宏许英杰张卫红谷小军
Owner NORTHWESTERN POLYTECHNICAL UNIV
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