Machine Learning Based Suggestions of Separation Units for Process Synthesis in Process Simulation

As part of Industry 4.0, workflows in the process industry are becoming increasingly digitalized. In this context, artificial intelligence (AI) methods also finding their way into development. communication, machine learning (ML) algorithms used to suggest suitable separation units based on simulated streams. Simulations that have been performed earlier as training data and information is learned by models implemented Python. The trained show good, reliable results connected a simulator using .NET framework. For further optimization, concept for implementation user feedback will be assigned. provide fundamental basis future AI-based recommendation systems.