Multiscale Analysis of Residual Stresses with Novel Non-Destructive and Destructive Approaches using Surface Displacement Measurements
使用表面位移测量通过新颖的非破坏性和破坏性方法进行残余应力的多尺度分析
基本信息
- 批准号:1663435
- 负责人:
- 金额:$ 31.89万
- 依托单位:
- 依托单位国家:美国
- 项目类别:Standard Grant
- 财政年份:2017
- 资助国家:美国
- 起止时间:2017-05-01 至 2022-04-30
- 项目状态:已结题
- 来源:
- 关键词:
项目摘要
Engineered materials and parts undergo severe mechanical and thermal loads during their development that result in the formation of internal residual stresses. Residual stresses (nominally force divided by area) are caused by internal forces that remain even after all external loads are removed. Despite the fact that residual stresses can reduce the service life considerably, comprehensive and practical methods to determine them without destroying the parts do not exist. Current non-destructive techniques allow their quantification on the surface of the parts only. Thus, development of new materials or manufacturing techniques can be greatly helped by a thorough estimation of residual stresses that might develop during the processes. For example, residual stresses are extremely prevalent in additively manufactured parts and strongly depend on process parameters in a complex way that are not understood well. This award supports fundamental research in inverse computational methods based on the mechanics of materials to estimate residual stresses in both non-destructive and destructive fashions from the measurement of forces and surface displacements. Advancement in residual stress analysis will promote both opportunistic use and mitigation in the development of new materials and manufacturing processes, which will greatly enhance automotive, aerospace, defense, and nuclear industries. The research team will also promote engineering and education through participation in the summer camp programs that will involve female and underrepresented high school students.For the development of the non-destructive approach, surface displacements will be measured cost-effectively on varying part sizes using digital camera images to trace speckle patterns. Mechanics-based mathematical algorithms derived using adjoint equations will be implemented to infer residual stress distribution from these measurements. Validation on a 3D printed rubber like material will be conducted. For the development of the destructive approach, very thin sectioned samples will be retrieved from the polycrystalline specimens to relieve all residual stresses, with the implication that the thin slices will deform as a result. Subsequent loadings of the samples will be used to determine the heterogeneous, anisotropic granular microstructure of the material using mechanics-based mathematical models. Application of reverse deformation on the now known microstructure to retrieve the original configuration can then be used to predict the residual stresses in the given section of the material. The fundamental scientific issue underlying both approaches is: What are the minimum number of experimental data sets and deformation modes, i.e., experiments, required to uniquely map residual stresses?
工程材料和零件在其开发过程中会承受严重的机械和热负荷,从而导致内部残余应力的形成。残余应力(名义上的力除以面积)是由内力引起的,即使在所有外部载荷被移除后仍然存在。尽管残余应力会显著降低使用寿命,但不存在在不破坏零件的情况下确定残余应力的全面实用的方法。目前的非破坏性技术只允许在零件表面进行量化。因此,新材料或制造技术的开发可以通过对工艺过程中可能产生的残余应力进行彻底的估计来大大帮助。例如,残余应力在增材制造零件中极其普遍,并且以一种尚不清楚的复杂方式强烈依赖于工艺参数。该奖项支持基于材料力学的逆计算方法的基础研究,以通过力和表面位移的测量以非破坏性和破坏性方式估计残余应力。残余应力分析的进步将促进新材料和制造工艺开发中的机会性使用和缓解,这将大大增强汽车,航空航天,国防和核工业。研究小组还将通过参加夏令营项目来促进工程和教育,这些夏令营项目将涉及女性和代表性不足的高中生。为了开发非破坏性方法,将使用数码相机图像跟踪散斑图案,在不同尺寸的零件上以具有成本效益的方式测量表面位移。使用伴随方程推导出的基于力学的数学算法将被实现,以从这些测量结果推断出残余应力分布。将对3D打印的橡胶类材料进行验证。对于破坏性方法的开发,将从多晶试样中取出非常薄的切片样品,以释放所有残余应力,这意味着薄片将因此变形。随后的样品加载将用于使用基于力学的数学模型来确定材料的非均质、各向异性颗粒微观结构。在已知的微结构上施加反向变形以恢复原始结构,然后可以用于预测材料的给定截面中的残余应力。这两种方法背后的基本科学问题是:实验数据集和变形模式的最小数量是多少,即,实验,需要独特的地图残余应力?
项目成果
期刊论文数量(6)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
Identification of Material Parameters of a Hyper-Elastic Body With Unknown Boundary Conditions
- DOI:10.1115/1.4039170
- 发表时间:2018-02
- 期刊:
- 影响因子:0
- 作者:M. Hajhashemkhani;M. Hematiyan;S. Goenezen
- 通讯作者:M. Hajhashemkhani;M. Hematiyan;S. Goenezen
A comparative study of two constitutive models within an inverse approach to determine the spatial stiffness distribution in soft materials
- DOI:10.1016/j.ijmecsci.2018.03.004
- 发表时间:2018-05-01
- 期刊:
- 影响因子:7.3
- 作者:Mei, Y.;Stover, B.;Goenezen, S.
- 通讯作者:Goenezen, S.
Characterization of the stiffness distribution in two and three dimensions using boundary deformations: a preliminary study
使用边界变形表征二维和三维刚度分布:初步研究
- DOI:10.1557/mrc.2018.98
- 发表时间:2018
- 期刊:
- 影响因子:1.9
- 作者:Luo, Ping;Mei, Yue;Kotecha, Maulik;Abbasszadehrad, Amirhossein;Rabke, Stephen;Garner, Geoffrey;Goenezen, Sevan
- 通讯作者:Goenezen, Sevan
Mechanics Based Tomography (MBT): Validation using experimental data
- DOI:10.1016/j.jmps.2020.104187
- 发表时间:2021
- 期刊:
- 影响因子:5.3
- 作者:S. Goenezen;Baik Jin Kim;M. Kotecha;Ping Luo;M. Hematiyan
- 通讯作者:S. Goenezen;Baik Jin Kim;M. Kotecha;Ping Luo;M. Hematiyan
Identification of the 3D crystallographic orientation using 2D deformations
使用 2D 变形识别 3D 晶体取向
- DOI:10.1177/03093247211043107
- 发表时间:2021
- 期刊:
- 影响因子:0
- 作者:Goenezen, Sevan;Kotecha, Maulik C;Reddy, Junuthula N
- 通讯作者:Reddy, Junuthula N
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Daniel McAdams的其他文献
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{{ truncateString('Daniel McAdams', 18)}}的其他基金
Intergovernmental Personnel Award
政府间人才奖
- 批准号:
2242685 - 财政年份:2022
- 资助金额:
$ 31.89万 - 项目类别:
Intergovernmental Personnel Award
EAGER: A Quantitative Theory for Technology Evolution and Innovation
EAGER:技术进化与创新的定量理论
- 批准号:
1550002 - 财政年份:2015
- 资助金额:
$ 31.89万 - 项目类别:
Standard Grant
Collaborative Research: Delegated Decision Making in Value-Driven Systems Engineering
协作研究:价值驱动系统工程中的委托决策
- 批准号:
1333454 - 财政年份:2013
- 资助金额:
$ 31.89万 - 项目类别:
Standard Grant
EAGER: Foundations for Combining Normative and Behavioral Research Methodologies to Study Systems Engineering
EAGER:结合规范和行为研究方法来研究系统工程的基础
- 批准号:
1346553 - 财政年份:2013
- 资助金额:
$ 31.89万 - 项目类别:
Standard Grant
Collaborative Research: KINdReD: Knowledge and Methods for Inclusive Product Design
合作研究:KINdReD:包容性产品设计的知识和方法
- 批准号:
1200256 - 财政年份:2012
- 资助金额:
$ 31.89万 - 项目类别:
Standard Grant
EFRI-ODISSEI: Synthesizing Ccomplex Structures from Programmable Self-Folding Active Materials
EFRI-ODISSEI:从可编程自折叠活性材料合成 C 复合结构
- 批准号:
1240483 - 财政年份:2012
- 资助金额:
$ 31.89万 - 项目类别:
Standard Grant
Workshop/Collaborative Research: Charting a Course for Computer-Aided Bio-inspired Design Research; Palo Alto, California; March 20, 2011
研讨会/合作研究:制定计算机辅助仿生设计研究课程;
- 批准号:
1110094 - 财政年份:2011
- 资助金额:
$ 31.89万 - 项目类别:
Standard Grant
Collaborative Research: A Biomimetic Concept Generator for Engineering Design
协作研究:工程设计的仿生概念生成器
- 批准号:
0800772 - 财政年份:2008
- 资助金额:
$ 31.89万 - 项目类别:
Standard Grant
SGER Collaborative Research: VisualizeIT - Measuring the Impact of IT-Enabled Concept Generation on Designer Creativity
SGER 协作研究:VisualizeIT - 衡量 IT 支持的概念生成对设计师创造力的影响
- 批准号:
0840969 - 财政年份:2008
- 资助金额:
$ 31.89万 - 项目类别:
Standard Grant
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