内燃机的数字孪生:简要回顾

Viet Dung Tran, Prabhakar Sharma, Lan Huong Nguyen
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引用次数: 0

摘要

数字孪生技术在内燃机领域的应用已经引起了人们的广泛关注。本文综述了数字孪生技术在集成电路发动机领域的应用和效果。数字孪生是现实世界引擎的虚拟对应物,可以实现实时监控、诊断和预测建模,从而提高设计、开发和运营效率。本摘要深入研究了使用数据驱动模型,基于物理的模拟和物联网传感器数据创建IC引擎的完整虚拟描述。该研究着眼于如何在发动机的整个使用寿命中使用数字孪生,包括设计验证、性能优化和基于状态的维护。本文通过对重要案例研究和创新的系统分析,强调了数字孪生在IC发动机操作革命中的关键作用,从而提高了可靠性,减少了停机时间,并加强了排放控制。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Digital twins for internal combustion engines: A brief review
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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