SANHTA – Spectral ANalysis for High Temperature Applications

Sensor Coating Systems （SCS）为发电、喷气推进、汽车和制造业提供热测绘服务。SCS开发的测量系统由三个技术支柱组成：1)智能磷光温度记忆涂层2)定制仪器3)全自动机器人和数字化系统该系统允许在关键任务部件的CAD模型上生成高分辨率热图。这些热图使设计师能够微调冷却安排和提高热效率，特别是在燃气轮机。这是一项独特的技术，对于需要更高工作温度才能实现净零排放的能源转换非常有价值。**背景：**在最近的一项调查中，SCS确定了准确温度测量对其客户的重要性，特别是在发电和航空领域。SCS从零开始开发了这项新技术，与传统方法（如热电偶、热测法、热涂料和热晶体）竞争。SCS的技术在使用传统测量方法的特定温度范围内显示出较高的不确定度。SCS试图通过改变分析方法和分析涂层光谱的具体特征来解决这个问题。这显示了巨大的前景，并使该技术更加强大。然而，在特定区域，这种新方法的不确定性在150°C-200°C左右时可能高得令人无法接受，需要达到±30°C。**目标：**为此，该项目将SCS作为技术所有者，NEL作为合作伙伴和机器学习专家，UKAEA作为分包商和光谱拟合专家，共同开发计算机化光谱分析工具箱，用于识别、拟合和跟踪涂层发光随暴露温度的变化。这将使测量的不确定度在150°C - 1600°C的温度测量范围内降低到±30°C，显着提高了该技术的竞争优势。**影响：** SCS的技术已被美国、欧洲和亚洲的客户用于温度测绘服务。SCS认为，使用新光谱方法提供±30°C不确定性的成功项目将加速该技术在全球所有行业的采用。SCS估计，一个成功的项目可以将去年的营业额从115万英镑（2021年）翻一番。最近在美国对50个部件进行的大型发动机测试显示，所有部件都暴露在很宽的温度范围内。50%的组件将受益于提议的频谱分析方法，使其他竞争技术过时。此外，“早期”采用者和客户的数量将会增加。

Sensor Coating Systems (SCS) provides a thermal mapping service to the power generation, jet propulsion, automotive and manufacturing industry. SCS has developed a measurement system consisting of three technical pillars: 1) Smart phosphorescent temperature memory coating2) Tailored instrumentation3) Fully automated robotic and digitisation systemThe system allows to provide high resolution thermal maps to be generated on CAD models of mission-critical components. These thermal maps enable designers to fine tune cooling arrangements and increase thermal efficiencies specifically in gas turbines. An enabling, unique technology highly valuable for the energy transition where hotter operating temperatures are needed to achieve net zero.**Context:** In a recent survey SCS established the importance of accurate temperature measurements for its clients specifically in power generation and aviation. SCS has developed this novel technology from scratch competing with traditional methods such as thermocouples, pyrometry, thermal paints and thermal crystals.SCS' technology has shown areas of higher uncertainties in specific temperature ranges using its traditional measurement approach. SCS tried to resolve this by changing the analysis method and analysing specific features of the optical spectrum of the coatings. This has shown great promise and made the technology more robust. However, the uncertainty of this novel approach can be unacceptably high at around 150°C-200°C in specific areas and needs to be brought to ±30°C.**Objective:** To this end, this project brings together SCS as technology owner, NEL as partner and machine learning expert, and UKAEA as subcontractor and spectral fitting expert to develop a computerised spectra analysis toolbox that identifies, fits and tracks changes in coating luminescence with exposure temperature. This will enable the reduction of uncertainty of the measurements to ±30°C across the temperature measurement range from 150°C - 1600°C, significantly improving the competitive advantage of the technology.**Impact:** SCS' technology has been utilised for temperature mapping services with clients in the US, Europe and Asia. SCS believes that a successful project delivering ±30°C uncertainty using the new spectral approach will accelerate the adoption of the technique worldwide in all sectors. SCS estimates that a successful project could double last year's turnover figure from £1.15m (2021). A recent large engine test in the US on 50 components has exposed all parts across a wide temperature range. 50% of components would have benefited from the proposed spectral analysis approach, making other competing technologies obsolete. Further, the number of 'early' adopters and clients will increase.