A climate classification for corrosion control in electronic system design
Climate factors such as humidity and temperature have a significant impact on the corrosion reliability of electronic products. Given the huge geographical variability in climate conditions globally, a climate classification is a useful tool that simplifies the problem of considering climate when de...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
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Elsevier
2022-09-01
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| Series: | Machine Learning with Applications |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S2666827022000767 |
| _version_ | 1811297407263047680 |
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| author | Max Spooner Rajan Ambat Hélène Conseil-Gudla Murat Kulahci |
| author_facet | Max Spooner Rajan Ambat Hélène Conseil-Gudla Murat Kulahci |
| author_sort | Max Spooner |
| collection | DOAJ |
| description | Climate factors such as humidity and temperature have a significant impact on the corrosion reliability of electronic products. Given the huge geographical variability in climate conditions globally, a climate classification is a useful tool that simplifies the problem of considering climate when designing electronics packaging. Most current guidelines for electronic product design rely on the Köppen–Geiger classification first developed by Köppen over a century ago. Köppen devised a set of heuristics to separate climates to match different vegetation types. These climate classes are unlikely to be the optimal for electronic product design. This paper presents a new climate classification using parameters important for corrosion reliability of electronics. The classification is based on real climate data measured every 3 h during a 5-year period at over 9000 locations globally. A key step is defining relevant features of climate affecting corrosion in electronics. Features related to temperature are defined, but also the amount of time that the difference between Temperature and Dew Point is less than 1, 2 or 3 ℃. These features relate to the risk of condensation in electronic products. The features are defined such that diurnal, seasonal and yearly variation is taken into account. The locations are then clustered using K-means clustering to obtain the relevant climate classes. This data-driven classification, based on key features for corrosion reliability of electronics, will be a useful aid for product design, reliability testing and lifetime estimation. |
| first_indexed | 2024-04-13T06:03:50Z |
| format | Article |
| id | doaj.art-fa95ea3b9b8c40ddbfea18e1b5c5be14 |
| institution | Directory Open Access Journal |
| issn | 2666-8270 |
| language | English |
| last_indexed | 2024-04-13T06:03:50Z |
| publishDate | 2022-09-01 |
| publisher | Elsevier |
| record_format | Article |
| series | Machine Learning with Applications |
| spelling | doaj.art-fa95ea3b9b8c40ddbfea18e1b5c5be142022-12-22T02:59:20ZengElsevierMachine Learning with Applications2666-82702022-09-019100397A climate classification for corrosion control in electronic system designMax Spooner0Rajan Ambat1Hélène Conseil-Gudla2Murat Kulahci3Department of Applied Mathematics and Computer Science, Technical University of Denmark, Kongens Lyngby, Denmark; Corresponding author.Department of Mechanical Engineering, Technical University of Denmark, Kongens Lyngby, DenmarkDepartment of Mechanical Engineering, Technical University of Denmark, Kongens Lyngby, DenmarkDepartment of Applied Mathematics and Computer Science, Technical University of Denmark, Kongens Lyngby, Denmark; Department of Business Administration, Technology and Social Sciences, Luleå, University of Technology, SwedenClimate factors such as humidity and temperature have a significant impact on the corrosion reliability of electronic products. Given the huge geographical variability in climate conditions globally, a climate classification is a useful tool that simplifies the problem of considering climate when designing electronics packaging. Most current guidelines for electronic product design rely on the Köppen–Geiger classification first developed by Köppen over a century ago. Köppen devised a set of heuristics to separate climates to match different vegetation types. These climate classes are unlikely to be the optimal for electronic product design. This paper presents a new climate classification using parameters important for corrosion reliability of electronics. The classification is based on real climate data measured every 3 h during a 5-year period at over 9000 locations globally. A key step is defining relevant features of climate affecting corrosion in electronics. Features related to temperature are defined, but also the amount of time that the difference between Temperature and Dew Point is less than 1, 2 or 3 ℃. These features relate to the risk of condensation in electronic products. The features are defined such that diurnal, seasonal and yearly variation is taken into account. The locations are then clustered using K-means clustering to obtain the relevant climate classes. This data-driven classification, based on key features for corrosion reliability of electronics, will be a useful aid for product design, reliability testing and lifetime estimation.http://www.sciencedirect.com/science/article/pii/S2666827022000767Climate classificationCorrosionElectronicsK-meansClusteringPrinted circuit board enclosure |
| spellingShingle | Max Spooner Rajan Ambat Hélène Conseil-Gudla Murat Kulahci A climate classification for corrosion control in electronic system design Machine Learning with Applications Climate classification Corrosion Electronics K-means Clustering Printed circuit board enclosure |
| title | A climate classification for corrosion control in electronic system design |
| title_full | A climate classification for corrosion control in electronic system design |
| title_fullStr | A climate classification for corrosion control in electronic system design |
| title_full_unstemmed | A climate classification for corrosion control in electronic system design |
| title_short | A climate classification for corrosion control in electronic system design |
| title_sort | climate classification for corrosion control in electronic system design |
| topic | Climate classification Corrosion Electronics K-means Clustering Printed circuit board enclosure |
| url | http://www.sciencedirect.com/science/article/pii/S2666827022000767 |
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