Electrical Discharge Machining of Biomedical Nitinol Alloys and the Resulting Fundamental Relationship of Microstructure-Property-Function

生物医用镍钛诺合金的放电加工及其微观结构-性能-功能的基本关系

基本信息

  • 批准号:
    1234696
  • 负责人:
  • 金额:
    $ 37万
  • 依托单位:
  • 依托单位国家:
    美国
  • 项目类别:
    Standard Grant
  • 财政年份:
    2012
  • 资助国家:
    美国
  • 起止时间:
    2012-09-01 至 2016-08-31
  • 项目状态:
    已结题

项目摘要

The research objective of this proposal is to understand the basic relationship between machining conditions, white layer (that is, recast layer), and fatigue and corrosion by electrical discharge machining of biomedical Nitinol alloys by bringing together complementary international research and education expertise. It will test the hypothesis that electrical discharge machining using minimum discharge energy is a very competitive process compared to mechanical machining to economically fabricate delicate burr-free Nitinol microstructures with high aspect ratio and excellent surface finish. The research approaches are to: (1) explore the process capability in electrical discharge machining of biomedical Nitinol alloys to establish a basic relationship between processing conditions and surface integrity; (2) determine whether the white layer is metastable nano-quasicrystal using transmission electron microscopy and x-ray diffraction; (3) clarify the fundamental role of process-induced surface integrity, white layer in particular, on fatigue and corrosion performance; and (4) reveal material erosion mechanism and microstructural evolution in electrical discharging via a multiphysics process simulation approach with the capability of material ablation.The research results will have a wide spectrum of impacts on machining of a broad range of other difficult-to-cut materials including titanium, Inconel, stainless steel, and hardened alloys. The sound sustainable practices in electrical discharge machining of metallic biomaterials can bring business value to biomedical device industry as well as tool, gas turbine, chemical and oil industries. The project will establish a synergistic education network between the University of Alabama and Aachen University to train the next cadre of ?whole-brain? students in the global context. The collaborative network will also provide an express way for fast technology transfer from fundamental research to industrial practices.
本提案的研究目的是通过汇集互补的国际研究和教育专业知识,了解生物医用镍钛合金的放电加工条件、白色层(即重铸层)与疲劳和腐蚀之间的基本关系。它将测试的假设,放电加工使用最小的放电能量是一个非常有竞争力的过程相比,机械加工,以经济地制造精细的无毛刺镍钛合金微结构,高纵横比和优良的表面光洁度。研究方法是:(1)探索医用镍钛合金电火花加工的工艺能力,建立加工条件与表面完整性之间的基本关系:(2)用透射电镜和X射线衍射确定白色层是否为亚稳纳米准晶;(3)阐明工艺诱导的表面完整性,特别是白色层,对疲劳和腐蚀性能的基本作用;以及(4)通过具有材料烧蚀能力的多物理场过程模拟方法,揭示了材料在放电过程中的烧蚀机理和微观结构演变,研究成果将对对包括钛、铬镍铁合金、不锈钢和硬化合金在内的各种其他难切削材料的加工具有广泛的影响。金属生物材料电火花加工的良好可持续实践可以为生物医学设备行业以及工具、燃气涡轮机、化学和石油行业带来商业价值。该项目将在亚拉巴马大学和亚琛大学之间建立一个协同教育网络,以培养下一批?全脑?学生在全球范围内。该合作网络还将为从基础研究到工业实践的快速技术转移提供快速途径。

项目成果

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Yuebin Guo其他文献

Explainable AI for layer-wise emission prediction in laser fusion
  • DOI:
    10.1016/j.cirp.2023.03.009
  • 发表时间:
    2023-01-01
  • 期刊:
  • 影响因子:
  • 作者:
    Weihong “Grace” Guo;Vidita Gawade;Bi Zhang;Yuebin Guo
  • 通讯作者:
    Yuebin Guo
Mining Infrequent Itemsets Based on Extended MMS Model
基于扩展MMS模型的非频繁项集挖掘
Predictive model to decouple the contributions of friction and plastic deformation to machined surface temperatures and residual stress patterns in finish dry cutting
  • DOI:
    10.1007/s11465-010-0097-7
  • 发表时间:
    2010-06-03
  • 期刊:
  • 影响因子:
    4.000
  • 作者:
    Subhash Anurag;Yuebin Guo
  • 通讯作者:
    Yuebin Guo

Yuebin Guo的其他文献

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{{ truncateString('Yuebin Guo', 18)}}的其他基金

Collaborative Research: Fusion of Siloed Data for Multistage Manufacturing Systems: Integrative Product Quality and Machine Health Management
协作研究:多级制造系统的孤立数据融合:集成产品质量和机器健康管理
  • 批准号:
    2323083
  • 财政年份:
    2024
  • 资助金额:
    $ 37万
  • 项目类别:
    Standard Grant
FMRG: Cyber: Manufacturing USA: NextG-Enabled Manufacturing of the Future (NextGEM)
FMRG:网络:美国制造:支持 NextG 的未来制造 (NextGEM)
  • 批准号:
    2328260
  • 财政年份:
    2024
  • 资助金额:
    $ 37万
  • 项目类别:
    Standard Grant
Conference: Early-Career Researcher Travel Support for the 30th CIRP Life Cycle Engineering Conference May 15-17, 2023
会议:2023 年 5 月 15 日至 17 日第 30 届 CIRP 生命周期工程会议的早期职业研究员旅行支持
  • 批准号:
    2322400
  • 财政年份:
    2023
  • 资助金额:
    $ 37万
  • 项目类别:
    Standard Grant
CDS&E: Computation-Informed Learning of Melt Pool Dynamics for Real-Time Prognosis
CDS
  • 批准号:
    2152908
  • 财政年份:
    2022
  • 资助金额:
    $ 37万
  • 项目类别:
    Standard Grant
Collaborative Research: Specific Energy-Based Prognosis for Machining Surface Integrity through Integration of Process Physics and Machine Learning
合作研究:通过过程物理和机器学习的集成,基于特定能量的加工表面完整性预测
  • 批准号:
    2040358
  • 财政年份:
    2021
  • 资助金额:
    $ 37万
  • 项目类别:
    Standard Grant
Hybrid Dry Cutting - Finish Burnishing of Novel Biodegradable Magnesium-Calcium Implants for Superior Corrosion Performance
混合干切削 - 新型可生物降解镁钙植入物的精加工抛光,具有卓越的腐蚀性能
  • 批准号:
    1000706
  • 财政年份:
    2010
  • 资助金额:
    $ 37万
  • 项目类别:
    Standard Grant
GOALI: Six-Sigma Based Robust Process Design Under Tool Deterioration for Giga Fatigue Life of Precision Machined Components in Hard Turning
GOALI:基于 6-Sigma 的稳健工艺设计,在刀具磨损情况下实现硬车削中精密加工部件的千兆疲劳寿命
  • 批准号:
    0825780
  • 财政年份:
    2008
  • 资助金额:
    $ 37万
  • 项目类别:
    Standard Grant
Fabrication, Property and Function of the Nanostructured Surface Barrier for Hydrogen Storage
储氢纳米结构表面势垒的制备、性能和功能
  • 批准号:
    0700468
  • 财政年份:
    2007
  • 资助金额:
    $ 37万
  • 项目类别:
    Standard Grant
Collaborative Research: Massive Parallel Laser Direct-Write of Sub-micron Dent Array for Quantum Leap of Fatigue Performance
合作研究:大规模并行激光直写亚微米凹痕阵列,实现疲劳性能的量子飞跃
  • 批准号:
    0555269
  • 财政年份:
    2006
  • 资助金额:
    $ 37万
  • 项目类别:
    Standard Grant
CAREER: A Fundamental Study on Hard Turning - Prediction and Synthesis of Surface Integrity and Component Life
职业生涯:硬车削的基础研究 - 表面完整性和零件寿命的预测和综合
  • 批准号:
    0447452
  • 财政年份:
    2005
  • 资助金额:
    $ 37万
  • 项目类别:
    Standard Grant

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  • 批准号:
    RGPIN-2019-06585
  • 财政年份:
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