Fast-acquisition, robot-mounted, 3D X-ray inspection, with longitudinal failure-analysis for Digital Twins.
Fast-acquisition, robot-mounted, 3D X-ray inspection, with longitudinal failure-analysis for Digital Twins.
批准号:
10066346
负责人:
金额:
$144.55万
依托单位:
依托单位国家:
英国
项目类别:
BEIS-Funded Programmes
财政年份:
2023
资助国家:
英国
项目状态:
未结题
起止时间:
2023 至 --
中文摘要
Adaptix已经证明了他们的医疗设备可以通过以前的ATI授权检查真正的航空航天部件所需的行业标准。通过用于医疗保健的系统来检查这些较小的部件并不适用于典型的大型航空部件。Adaptix希望扩大其成像大型航空部件(如机翼/门/皮肤)的能力,同时保持在复合材料中看到典型失效模式的所需分辨率。在保持保真度的同时扩大规模是一项重大的创新挑战。在航空工业制造的早期干预成型阶段确定复合材料故障的能力仍然是一个挑战,但也是非常可取的。通过Adaptix新颖的“数字断层合成”技术,对干式预成型(目前其他方法无法检测的领域)进行快速采集检测,解锁了具有重大财务和环境影响的新制造方法。这将加速这种复合材料在飞机和发动机制造中的应用。利用不同学科的技术,这项创新研究将对现实世界的复合材料进行低功耗、机器人安装的3D x射线检测。在此过程中,本研究还将探索对报废部件的纵向分析,以反馈到制造过程中。有了这些数字信息,这项工作将有助于NDE 4.0和数字双胞胎的工作。该项目创新的价值得到了航空航天制造巨头的支持,包括空客、Spirit AeroSystems、GKN和Dowty Propellers(通用电气旗下公司)。
英文摘要
Adaptix have proven their medical devices can inspect authentic aerospace parts to the required industry standard via a previous ATI grant. Inspecting these smaller parts via systems built for healthcare doesn't serve the typical large aerospace parts. Adaptix wants to scale-up their capability to image large aerospace parts (such as wings/doors/skins) while maintaining the required resolution of seeing typical failure modes in the composite. This scale-up while maintaining fidelity is a significant innovation challenge.The ability to determine failures in composite materials in the early, dry-preform phase of manufacture for the aero industry continues to be a challenge, but is highly desirable. Fast-acquisition inspection at dry-preform (where other methods currently can't inspect) via Adaptix' novel _Digital Tomosynthesis_ unlocks new manufacturing methods with significant financial and environmental impact. This will then hasten the desired greater incorporation of such composite material in the manufacture of aircraft and engines.Using technology developed for a different discipline, this innovative research will deploy low-power, robot-mounted, 3D X-ray inspection on real world composites. In doing so, this research will also explore longitudinal analysis of end-of-life parts, to feed back in to the manufacturing process. With such digital information, this work will contribute to work in NDE 4.0 and Digital Twins.The value of this project innovation has the backing or aerospace manufacturing primes, Airbus, Spirit AeroSystems, GKN and Dowty Propellers (a GE company).
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