Modeling, integration, and automation of degradation to generate asset lifespan analytics using AssessLIFE software
Obi, Emenike R. and Nwajana, Augustine ORCID: 0000-0001-6591-5269 (2022) Modeling, integration, and automation of degradation to generate asset lifespan analytics using AssessLIFE software. International Journal of Manufacturing, Materials, and Mechanical Engineering, 12 (1):28. pp. 1-40. ISSN 2156-1680 (Print), 2156-1672 (Online) (doi:https://doi.org/10.4018/IJMMME.300828)
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Abstract
The degradation of metallic industrial assets, equipment, and components costs governments, industries, and citizens billions of dollars a year. Also, the degradation of industrial assets and infrastructure proliferates myriad safety problems. AssessLIFE software addresses this strategic deficiency by focusing on forecasting strategies rather than on mitigation strategies in the active battle against industrial asset degradation. By employing tested and proven scientific analytical computations, forecasting, prediction, and analytics, the AssessLIFE software plans to significantly reduce the billions of dollars expended via inspection, treatment, and repair of degradation-prone assets and infrastructure. The AssessLIFE software leverages many scientific studies and research in many fields of engineering. The AssessLIFE software also emphasizes the computerization or automation of the processes of metallic (alloys and welds) degradation mechanisms and parameters using digital techniques.
Item Type: | Article |
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Uncontrolled Keywords: | alloy degradation; corrosion; erosion; fatigue; flow turbulence; stress corrosion cracking |
Subjects: | Q Science > QA Mathematics > QA76 Computer software T Technology > TK Electrical engineering. Electronics Nuclear engineering |
Faculty / School / Research Centre / Research Group: | Faculty of Engineering & Science Faculty of Engineering & Science > School of Engineering (ENG) Faculty of Engineering & Science > Wolfson Centre for Bulk Solids Handling Technology |
Related URLs: | |
Last Modified: | 11 May 2022 09:19 |
URI: | http://gala.gre.ac.uk/id/eprint/36149 |
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