Critical mini-review evaluates digital twin technology applications in mechanical engineering, highlighting challenges and future research opportunities.
Digital Twin (DT) technology has become one of the most significant innovations in modern mechanical engineering by integrating physical assets with dynamic virtual models that continuously receive real-time operational data. Through the combination of Artificial Intelligence (AI), the Industrial Internet of Things (IIoT), cloud computing, and advanced simulation techniques, Digital Twins enable predictive maintenance, performance optimization, and lifecycle management. This mini-review summarizes recent developments in Digital Twin technology, discusses its applications in mechanical engineering, evaluates current technical limitations, and identifies future research opportunities supporting Industry 4.0 and smart manufacturing. Keywords: Digital Twin, Mechanical Engineering, Industry 4.0, Artificial Intelligence, IIoT, Predictive Maintenance. Title: Digital Twin Technology in Mechanical Engineering: Current Applications, Challenges, and Future Opportunities – A Critical Mini Review Author: Abdulaziz Aldhafeeri International Journal of Mechanical and Industrial Technology ISSN 2348-7593 (Online) Vol. 14, Issue 1, April 2026 - September 2026 Page No: 50-52 Research Publish Journals Website: www.researchpublish.com Published Date: 03-July-2026 DOI: https://doi.org/10.5281/zenodo.21169326 Paper Download Link (Source) https://www.researchpublish.com/papers/digital-twin-technology-in-mechanical-engineering-current-applications-challenges-and-future-opportunities--a-critical-mini-review
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Abdulaziz Aldhafeeri (2026) studied this question.
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