The Impact of Model-Based Design on Controls Today and in Future

Webinar Content



New Product Introduction is a complex and time taking process with the goal to get a product accepted successfully in the target market. Successful Companies now taking leadership of change in the market by deploying front loading techniques like Virtual Design and Digital Twins to shorten their development cycle. The use of Digital twins enhanced with advances in Augmented Reality (AR) Artificial Intelligence( AI) and Machine Learning (ML) are accelerating the process of design, manufacturing and Deployment. These game changing techniques are enabling Companies to build Innovative, cost-effective and high quality products wining customers in their target markets.

The Webinar will discuss the creation of Digital Twins, which can truly represent their physical counterparts in response and operation creating a powerful tool to rapidly simulate the product throughout its Life cycle. This has added a powerful new dimension, which brings together the physical and digital world linking all stakeholders on a digital platform. This collaboration enables rapid, intelligent and concurrent engineering, thus shrinking execution time. The Digital Twin makes it possible to integrate the performance and failure data from the field to augment and optimize the quality of the product design life cycle.

The Webinar will discuss the fidelity needs of the Twin and its deployment in the enterprise information system with its identity, security and RBAC considerations. Open source and interoperability standards for life cycle of the product will be highlighted as well.

The role of Digital twins in the emerging manufacturing 4.0 scenario and creation of an agile digital enterprise with an interactive customer platform will be reviewed.

Case studies presented in session will illustrate how real time field insights can be fed to the Digital Twin to prioritise key attributes and their impact on the physical product and process. With AI and ML the system predicts performance and outcomes for smart decision making. A Digital twin potentially integrates all the learning from previous and current products and leverages them to build new concepts with real time feedbacks. These can mitigate potential failure modes and optimize performance. Thus reducing time of execution significantly by avoiding costly downstream corrections.

Course Takeaway

The Webinar will enable the participants to understand the digital evolution process for the creation of Digital Twins. The discussions with case studies presented will clearly demonstrate the application of Digital Twins and their role in enhancing and accelerating the development process.