CalibXBatt - Calibration of XCT-Automatic Defect Recognition for Battery Inspection [10050292]

该项目旨在与具有计量专业知识的研究伙伴合作，与XCT一起开发一种用于电池内部结构定量尺寸评估的校准方法。该项目的成果有望使我们的人工智能XCT检测分析解决方案更具竞争力，并有可能为电池行业的客户提供可跟踪的测量精度。该项目的目标包括：*开发和生产具有已知校准缺陷和距离的模型。（NPL）*使用模体插入制造电池样品，使扫描条件尽可能接近真实条件。（UKBIC+Waygate）*用XCT扫描样品生成体积数据，并分析XCT数据以检查/确定扫描数据与校准数据的偏差。（Waygate +NPL+UKBIC）交付成果将是电池ADR软件的校准方法，包括：1。用幻影来校准adr - 2。评估过程。

This project aim to develop a calibration method for quantitative dimensional evaluation of battery internal structure with XCT, in partnership with a research partner with metrology expertise. The outcome of the project is expected to make our solution of AI-powered analysis of XCT inspection more competitive, with the possibility to offer a tracible measurement accuracy to the customers of battery industry.The objectives of the project include:* To develop and produce a phantom with known calibrated defects and distance.(NPL)* To manufacture battery cell samples with the phantom insert, to get the scanning conditions as close to the real condition as possible. (UKBIC+Waygate)* To scan the samples with XCT to generate volumetric data, and analyze the XCT data to check /determine the deviation of scanned data from the calibration data. (Waygate +NPL+UKBIC)The deliverables will be a calibration method for the battery ADR software, which include:1. The phantom to calibrate the ADR.2. The evaluation process.