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contributor authorPoonthottathil, N.
contributor authorKrennrich, F.
contributor authorWeinstein, A.
contributor authorEisch, J.
contributor authorBond, L. J.
contributor authorBarnard, D.
contributor authorZhang, Z.
contributor authorKoester, L.
date accessioned2022-02-05T21:50:47Z
date available2022-02-05T21:50:47Z
date copyright1/19/2021 12:00:00 AM
date issued2021
identifier issn2572-3901
identifier othernde_4_2_024501.pdf
identifier urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4276450
description abstractElectronics operating at cryogenic temperatures play a critical role in future science experiments and space exploration programs. The Deep Underground Neutrino Experiment (DUNE) uses a cold electronics system for data taking. Specifically, it utilizes custom-designed Application Specific Integrated Circuits (ASICs). The main challenge is that these circuits will be immersed in liquid Argon and that they need to function for 20+ years without any access. Ensuring quality is critical, and issues may arise due to thermal stress, packaging, and manufacturing-related defects: if undetected, these could lead to long-term reliability and performance problems. This paper reports an investigation into non-destructive evaluation techniques to assess their potential use in a comprehensive quality control process during prototyping, testing, and commissioning of the DUNE cold electronics system. Scanning acoustic microscopy (SAM) was used to investigate permanent structural changes in the ASICs associated with thermal cycling between room and cryogenic temperatures. Data are assessed using a correlation analysis, which can detect even minimal changes happening inside the ASICs.
publisherThe American Society of Mechanical Engineers (ASME)
titleInspection of Electronics Components for Cryogenic Temperature Operations
typeJournal Paper
journal volume4
journal issue2
journal titleJournal of Nondestructive Evaluation, Diagnostics and Prognostics of Engineering Systems
identifier doi10.1115/1.4049300
journal fristpage024501-1
journal lastpage024501-4
page4
treeJournal of Nondestructive Evaluation, Diagnostics and Prognostics of Engineering Systems:;2021:;volume( 004 ):;issue: 002
contenttypeFulltext


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