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      Optimised processes when physical and virtual realities are linked

      Optimised processes when physical and virtual realities are linked

      By using virtual models of various phenomena in product development, the gap between digital, virtual and physical realities can be bridged and processes can be optimised. Creating digital twins can save time and money, and can make production more sustainable.

      Virtual manufacturing technology links the real world with the digital and the virtual through three areas:

      • Experimental validation of numerical models
      • Data-driven analysis, which involves taking advantage of experiments and various measurement data from the numerical models.
      • Process modelling, where the process is modelled using tools such as digital twins.

      Optimised processes in production

      This could involve machining, for example. The machining operations in industry can be modelled in different ways, for example in two-dimensional representations of different cutting depths for cutting blades, where aspects such as temperatures and cutting blade life are simulated to optimise lifetime and throughput.

      3D modelling is sometimes required to simulate the cutting processes. Through process modelling, different phenomena are tested in digital twins, for example, which contain the same data as the real operations.

      Implementation in real processes

      Other areas simulated within process modelling include laser welding, ultrasonic welding and mechanical problems.

      Reliable digital twins provide the scope to analyse, study and make changes in virtual reality, before implementing them in a real process. The optimised processes can result in increased profits and reduced costs, and can contribute towards more sustainable production from an environmental perspective.

      Courses for managers at different levels

      WISER courses include basic knowledge of laser welding, using digital and mathematical tools to optimise processes, material selection and controlling operations with CNC codes.

      The target group is managers at various levels within the manufacturing industry, such as middle managers, group managers or other staff with specialist skills.

      Responsible for the domain area

      Professor of Mechanical Engineering

      Published: 3/14/2022
      Edited: 3/14/2022
      Responsible: webmaster@his.se