AI-Powered Digital Twins: Transforming Industry 4.0 and Smart Manufacturing
Abstract
Digital twins—virtual representations of physical assets—are reshaping industries by enabling real-time monitoring, predictive maintenance, and process optimization. This paper explores the integration of AI with digital twins to enhance their predictive capabilities in Industry 4.0 applications. We present a hybrid AI framework combining machine learning, reinforcement learning, and IoT sensors to improve manufacturing efficiency. Case studies from aerospace, automotive, and industrial automation sectors illustrate the benefits of AI-driven digital twins. Challenges such as data synchronization, computational demands, and security risks are discussed, along with future research directions.
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