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Digital Twins and Virtual Prototyping for Industrial Systems

In: Advances in Computational Mathematics for Industrial System Reliability and Maintainability

Author

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  • Mohammad Yazdi

    (Macquarie University)

Abstract

In the era of Industry 4.0, “Digital Twins” emerges as a ground breaking approach, offering a fusion of the physical and digital worlds. This chapter talks deep into understanding digital twins as virtual replicas of tangible systems, accentuating their transformative potential in Product Lifecycle Management (PLM). Through real-time monitoring capabilities, digital twins can revolutionize the design, testing, and maintenance phases of a product's life, providing predictive insights and facilitating proactive system health checks. However, as with all technological advancements, there are challenges—navigating the vast data volume, ensuring synchronization, and addressing potential hurdles remain at the forefront. Through illustrative case studies, this chapter highlights the practical applications of digital twins across diverse industries such as aerospace, manufacturing, healthcare, and energy. Emphasizing their significance, it is evident that digital twins are not just a fleeting trend but a pivot towards a more integrated and efficient future. As industries continue to evolve, the opportunities for leveraging digital twins are vast, promising a horizon filled with innovation, optimization, and unparalleled growth.

Suggested Citation

  • Mohammad Yazdi, 2024. "Digital Twins and Virtual Prototyping for Industrial Systems," Springer Series in Reliability Engineering, in: Advances in Computational Mathematics for Industrial System Reliability and Maintainability, chapter 0, pages 155-168, Springer.
    • Handle: RePEc:spr:ssrchp:978-3-031-53514-7_9
    DOI: 10.1007/978-3-031-53514-7_9
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