Digital Twin Simulation for Spinning Process Optimisation
topic
Digital twin models of spinning processes use mathematical representations of fibre mechanics, drafting zone dynamics, twist propagation, and machine kinematics calibrated with actual production data to simulate yarn quality outcomes for proposed process setting changes before physical implementation, enabling virtual process optimisation that reduces the time and raw material cost of experimental process development.
Role
Accelerates spinning process development and optimisation by enabling virtual testing of machine setting combinations and raw material changes in simulation before physical trials, reducing the experimental trial cost and time required to optimise spinning parameters for new yarn specifications and enabling exploration of a wider parameter space than practical physical experimentation allows.