Digital twins for internal combustion engines: A brief review
DOI:
https://doi.org/10.61435/jese.2023.5Keywords:
Digital twins, IC engine, Predictive maintenance, Sustainability, ReliabilityAbstract
The adoption of digital twin technology in the realm of internal combustion (IC) engines has been attracting a lot of interest. This review article offers a comprehensive summary of digital twin applications and effects in the IC engine arena. Digital twins, which are virtual counterparts of real-world engines, allow for real-time monitoring, diagnostics, and predictive modeling, resulting in improved design, development, and operating efficiency. This abstract digs into the creation of a full virtual depiction of IC engines using data-driven models, physics-based simulations, and IoT sensor data. The study looks at how digital twins can potentially be used throughout the engine's lifespan, including design validation, performance optimization, and condition-based maintenance. This paper emphasizes the critical role of digital twins in revolutionizing IC engine operations, resulting in enhanced reliability, decreased downtime, and enhanced emissions control through a methodical analysis of significant case studies and innovations.
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Copyright (c) 2023 Viet Dung Tran, Prabhakar Sharma, Lan Huong Nguyen
This work is licensed under a Creative Commons Attribution 4.0 International License.
Journal of Emerging Science and Engineering published under the terms of a Creative Commons Attribution 4.0 International License / CC BY 4.0 This license permits anyone to copy and redistribute this material in any form or format, compose, modify, and make derivative works of this material for any purpose, including commercial purposes, so long as they include credit to the Authors of the original work.
