Creation of an intelligent machining system to adapt to structural variability in safety critical titanium alloy components

创建智能加工系统以适应安全关键钛合金部件的结构变化

• 批准号: EP/S013377/1
• 负责人: Martin Jackson
• 金额: $ 84.81万
• 依托单位: University of Sheffield
• 依托单位国家: 英国
• 项目类别: Research Grant
• 财政年份: 2019
• 资助国家: 英国
• 起止时间: 2019 至 无数据
• 项目状态: 已结题
• 来源: https://gtr.ukri.org/projects?ref=EP%2FS013377%2F1
• 关键词: Creation; intelligent; machining; system; adapt

This work will change the way we think about machining high value titanium components - for example, turning an aeroengine shaft on a lathe. Rather than apply global rules about how much metal we can remove and how fast we can rotate the part, we will develop a technique that can monitor - in real time - the "microstructure" of the part, in order to determine how much pressure we apply with the cutting tool. Microstructure in metals is analogous to the different parts of timber - heartwood, sapwood, knots, how the grain runs - but on a much smaller scale (usually fractions of a millimetre). A master carpenter will see and feel these features of the timber by sight and touch, and instinctively work the wood with their tools in such a way as to maximise strength and/or visual appeal whilst using the least amount of effort. Such finesse has not been possible in metal working as - until now - there has not been a technique available that can "see" the microstructure.A technique called spatially resolved acoustic spectroscopy (SRAS for short) uses lasers to generate and detect very high frequency ultrasonic waves that travel on the surface of the metal component. These waves interact with the microstructure, and this allows us to "see" it. By relating this information to knowledge of how machining the metal affects its performance - which is another part of the work - opens up the possibility of intelligently crafting the cutting process. Not only will this lead to faster machining processes and less damage, it will also mean that a map of the microstructure of the final part is available - this will be invaluable for confirming quality.

这项工作将改变我们对加工高价值钛部件的看法，例如，在车床上转动航空发动机轴。我们将开发一种技术，可以实时监控零件的“微观结构”，以确定我们使用切削工具施加的压力，而不是应用关于我们可以去除多少金属以及我们可以旋转零件的速度的全球规则。金属的微观结构类似于木材的不同部分——心材、边材、节、纹理——但尺度要小得多（通常不到一毫米）。一个熟练的木匠会通过视觉和触觉来看到和感受到木材的这些特征，并本能地用他们的工具来加工木材，以这样一种方式，在使用最少的努力的同时，最大限度地提高强度和/或视觉吸引力。这种技巧在金属加工中是不可能的，直到现在，还没有一种技术可以“看到”微观结构。一种叫做空间分辨声学光谱（简称SRAS）的技术利用激光产生并探测在金属部件表面传播的高频超声波。这些波与微观结构相互作用，这使我们能够“看到”它。通过将这些信息与加工金属如何影响其性能的知识（这是工作的另一部分）联系起来，开辟了智能设计切削过程的可能性。这不仅会导致更快的加工过程和更少的损坏，这也意味着最终零件的微观结构图是可用的-这将是非常宝贵的确认质量。

项目成果

The influence of machining induced surface integrity and residual stress on the fatigue performance of Ti-6Al-4V following polycrystalline diamond and coated cemented carbide milling

• DOI: 10.1016/j.ijfatigue.2022.107054
• 发表时间: 2022-06-15
• 期刊: INTERNATIONAL JOURNAL OF FATIGUE
• 影响因子: 6
• 作者: Childerhouse, Thomas;M'Saoubi, Rachid;Jackson, Martin
• 通讯作者: Jackson, Martin

Titanium alloy microstructure fingerprint plots from in-process machining

• DOI: 10.1016/j.msea.2021.141074
• 发表时间: 2021-03-19
• 期刊: MATERIALS SCIENCE AND ENGINEERING A-STRUCTURAL MATERIALS PROPERTIES MICROSTRUCTURE AND PROCESSING
• 影响因子: 6.4
• 作者: Fernandez, D. Suarez;Wynne, B. P.;Jackson, M.
• 通讯作者: Jackson, M.

The effect of forging texture and machining parameters on the fatigue performance of titanium alloy disc components

• DOI: 10.1016/j.ijfatigue.2020.105949
• 发表时间: 2021-01-01
• 期刊: INTERNATIONAL JOURNAL OF FATIGUE
• 影响因子: 6
• 作者: Fernandez, Daniel Suarez;Wynne, B. P.;Jackson, M.
• 通讯作者: Jackson, M.

In-Process Fingerprints of Dissimilar Titanium Alloy Diffusion Bonded Layers from Hole Drilling Force Data

钻孔力数据中异种钛合金扩散连接层的过程指纹

• DOI: 10.3390/met12081353
• 发表时间: 2022
• 期刊: Metals
• 影响因子: 2.9
• 作者: Graves A

Rapid acquisition of digital fingerprints of Ti-6Al-4V macrotexture from machining force measurement data

从加工力测量数据快速获取 Ti-6Al-4V 宏观纹理的数字指纹

• DOI: 10.1016/j.matchar.2023.113550
• 发表时间: 2024
• 期刊: Materials Characterization
• 影响因子: 4.7
• 作者: Childerhouse T