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Development of In-Process NDE Machining Force Feedback Analysis for Titanium Alloy Component Texture Analysis

Development of In-Process NDE Machining Force Feedback Analysis for Titanium Alloy Component Texture Analysis
用于钛合金部件织构分析的在线 NDE 加工力反馈分析的开发
批准号:
2879514
负责人:
金额:
$0.0万
依托单位:
依托单位国家:
英国
项目类别:
Studentship
财政年份:
2023
资助国家:
英国
项目状态:
未结题
起止时间:
2023 至 --

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中文摘要
翻译
钛合金具有较高的强度/重量比和优异的抗疲劳、耐腐蚀性能,被广泛应用于航空航天工业中的高性能旋转部件,尤其是压气机盘片。钛合金产品一般是锻造和机械加工的,近年来,机械力反馈响应被用来指示锻造材料中的晶粒结构和上游锻造对织构发展的影响。该EngD项目的一个关键目标是发展力反馈方法,作为钛合金构件和上游锻造条件的无损评估技术。一个方面是检测锻造材料中可能更容易在使用中具有性能限制特征的缺失微纹理区域,并从这样的力反馈数据中开发出微结构数字孪生组织。这个项目在先进材料的制造中非常重要,特别是考虑到为了提高生产率而转向高速加工,因为没有可行的非破坏性检测方法能够在线确定材料在加工过程中的组织变化。这严重限制了新材料和机械加工技术的进步。如果能够开发一种可靠的在线无损检测方法,这不仅将在锻造产品中提供巨大的制造优势,而且将在其他需要减法加工的过程中提供巨大的制造优势,例如加法制造。开发工作还将通过关键的固态加工步骤提供工件材料的数字孪生组织的框架。
英文摘要
Titanium alloys are used in high performance rotating components in the aerospace industry, particularly compressor discs, as they possess high strength/weight ratios and excellent fatigue and corrosion re-sistance. Titanium alloy products are generally forged and machined, and over recent years, the ma-chining force feedback response has been used to provide an indication of grain structure in forged mate-rial and the influence of upstream forging on texture development. A key aim of this EngD project is to develop the force feedback approach as a non-destructive evaluation technique for titanium alloy components and upstream forged conditions. One aspect is to detect delete-rious micro-texture regions in forged material that may be more prone to performance limiting features in-service and develop a microstructural digital twin from such force feedback data. This project is hugely important in the manufacture of advanced materials, particularly considering the move to high speed machining for enhanced productivity, as there is no viable non-destructive inspec-tion method capable of determining microstructural variation on-line as the material is being machined. This severely limits the advancement of both new materials and machining techniques. If a reliable in-process NDE approach can be developed, this will provide a vast manufacturing advantage not just in forged product but in other processes that require subtractive machining, such as additive manufacturing. The development will work will also provide the framework of a digital twin of the workpiece material through key solid state processing steps.
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国内基金
海外基金
Neural Process模型的多样化高保真技术研究
磁转动超新星爆发中weak r-process的关键核反应
多臂Bandit process中的Bayes非参数方法
  • 批准号:
    71771089
  • 项目类别:
    面上项目
  • 资助金额:
    48.0万元
  • 批准年份:
    2017
  • 负责人:
    吴贤毅
  • 依托单位: