In today’s Industry 5.0 and digital manufacturing era, digital twins have sparked a revolution in product development. This book chapter explores how digital twins are changing the approach to design, test, and enhance products. By creating virtual replicas of actual products, digital twins allow manufacturers to experiment with, forecast, and boost product performance in a virtual environment before constructing physical prototypes. The chapter dives into the main tech and methods behind digital twins, including advanced simulation real-time data analysis, and machine learning. It shows how digital twins can speed up product development, cut down time to market, and boost product quality and reliability. The chapter also shares real-life examples of digital twins working well in different fields, like aerospace, cars, and consumer goods. It also talks about the hurdles and future of digital twins in product development pointing out the need to standardize, make things work together, and train the workforce. This in-depth chapter gives useful insights for people in the industry, researchers, and students who want to use digital twins to drive new ideas and stay competitive in the Industry 5.0 and digital manufacturing era.

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Digital Twins in Product Development

  • R. Immanual,
  • N. Sanjana,
  • K. M. Kirthika,
  • S. Sangeetha

摘要

In today’s Industry 5.0 and digital manufacturing era, digital twins have sparked a revolution in product development. This book chapter explores how digital twins are changing the approach to design, test, and enhance products. By creating virtual replicas of actual products, digital twins allow manufacturers to experiment with, forecast, and boost product performance in a virtual environment before constructing physical prototypes. The chapter dives into the main tech and methods behind digital twins, including advanced simulation real-time data analysis, and machine learning. It shows how digital twins can speed up product development, cut down time to market, and boost product quality and reliability. The chapter also shares real-life examples of digital twins working well in different fields, like aerospace, cars, and consumer goods. It also talks about the hurdles and future of digital twins in product development pointing out the need to standardize, make things work together, and train the workforce. This in-depth chapter gives useful insights for people in the industry, researchers, and students who want to use digital twins to drive new ideas and stay competitive in the Industry 5.0 and digital manufacturing era.