Research on Digital Twin Technology for Mechatronic Product Developments
Abstract:
The increasing complexity of mechatronic systems presents significant challenges in product development, including prolonged design cycles, elevated costs, and difficulties in predicting system behavior. This research investigates the application of digital twin technology as a solution by developing virtual models that replicate physical mechatronic products. Employing a mixed-methods approach, the study integrates system modeling, simulation, and analysis of three industrial case studies encompassing mechanical, electrical, and control components. The effectiveness of digital twins is evaluated in terms of enhancing design accuracy, reducing time-to-market, and enabling predictive maintenance through continuous monitoring and real-time feedback. Results indicate that digital twin implementation significantly mitigates development challenges such as design errors and unexpected failures, thereby improving product reliability and cost efficiency. The findings con tribute to the advancement of smart manufacturing by providing a practical framework for integrating digital twins within mechatronic product development. This research highlights the technology’s potential to optimize system performance and lifecycle management, supporting more efficient and resilient mechatronic products.
