[2603.24629] Sketch2Simulation: Automating Flowsheet Generation via Multi Agent Large Language Models

Computer Science > Software Engineering arXiv:2603.24629 (cs) [Submitted on 25 Mar 2026] Title:Sketch2Simulation: Automating Flowsheet Generation via Multi Agent Large Language Models Authors:Abdullah Bahamdan, Emma Pajak, John D. Hedengren, Antonio del Rio Chanona View a PDF of the paper titled Sketch2Simulation: Automating Flowsheet Generation via Multi Agent Large Language Models, by Abdullah Bahamdan and 3 other authors View PDF HTML (experimental) Abstract:Converting process sketches into executable simulation models remains a major bottleneck in process systems engineering, requiring substantial manual effort and simulator-specific expertise. Recent advances in generative AI have improved both engineering-diagram interpretation and LLM-assisted flowsheet generation, but these remain largely disconnected: diagram-understanding methods often stop at extracted graphs, while text-to-simulation workflows assume structured inputs rather than raw visual artifacts. To bridge this gap, we present an end-to-end multi-agent large language model system that converts process diagrams directly into executable Aspen HYSYS flowsheets. The framework decomposes the task into three coordinated layers: diagram parsing and interpretation, simulation model synthesis, and multi-level validation. Specialized agents handle visual interpretation, graph-based intermediate representation construction, code generation for the HYSYS COM interface, execution, and structural verification. We evalua...