This paper explores the transformative impact of digital twin technology on design and maintenance practices within the realm of mechanical engineering. Digital twins, virtual replicas of physical assets or systems, are revolutionizing traditional engineering processes by enabling real-time monitoring, predictive analytics, and simulation-based optimization. This paper provides an overview of the fundamental concepts underlying digital twin technology and its applications across various stages of the product lifecycle, including design, manufacturing, operation, and maintenance. We delve into key advancements in sensor technology, data analytics, and simulation techniques that facilitate the creation and utilization of digital twins for diverse mechanical systems and components. Through case studies and examples, we illustrate how digital twins are enhancing design efficiency, enabling predictive maintenance strategies, and optimizing performance across a wide range of industries, from aerospace and automotive to energy and healthcare. By elucidating the capabilities and benefits of digital twin technology, this paper aims to inspire further adoption and innovation in mechanical engineering practices, driving advancements towards smarter, more efficient, and sustainable engineering solutions.
Volume 16 | Special issue on Trends in Engineering
Pages: 83-95