Predictive Design & Digital Twin

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This work focuses on rapid, predictive design of products and processes. It will develop a new capability by integrating theoretical, modelling, experimental and ICT approaches. Predictive design approaches that combine crystal engineering, particle engineering and structure generation to produce final dosage forms with consistent and predictable performance will be targeted. Deliverables will be the process design and digital twin for each API studied.

Digital Twin

The CMAC digital twin refers to model-based simulations of transformations within unit operations or material attributes resulting from processes and characterisation tools. Data from small scale experiments/measurements are used to parameterise the models used to generate the digital twins.

The digital twins can be utilised and applied in a number of ways such as:

  • To virtually design a full scale manufacturing process or individual unit ops within

  • Enabling model-based experimentation to explore process conditions and determine optimal process outcomes

  • Inform and prioritise “hands on” experimental approaches and key parameters to be evaluated as well as analysis of data and monitoring of systems

  • Development of model-based-control systems

  • Model based exploration of design changes and design optimisation for future implementations

  • Evaluation of the impact of process on product


Predictive DesignSteven Scott