(246i) A Tree Ontology for Multi-Scale Muti-Disciplinary Process Model
AIChE Annual Meeting
2016
2016 AIChE Annual Meeting
Computing and Systems Technology Division
Interactive Session: Information Management and Intelligent Systems
Monday, November 14, 2016 - 3:45pm to 5:45pm
Each leave in the tree represents a network of capacities linked by transfers. What is ''living'' in these networks depends on the discipline. In physical systems this will be mass, energy, species detailed into phases that may be detailed even further. In control this will be signals and information, in material models it can be particles, molecules, atoms. The structure is completed by linking the leaves together where the discipline-specific networks are linked through connection networks. All networks build on a very small set of meta terms, the set of which is the result of intense research over the last couple of years not at least in connection with a European project that has the objective to model polyurethane foams from quantum to mechanical properties (http://modena.units.it).
The process of building the ontology start with generating the tree structure. One of the keywords provides the branching the rest provides the key construction elements for the equation/variable system that eventually will represent the behaviour of the modelled process in a mathematical form.
The ontology is used in conjunction with a graphical user interface that implements a hierarchical network representation. The hierarchy being used here is different from the hierarchy of the ontology. In the graph model designer, the hierarchy serves the purpose of managing the model complexity, in terms of a large number of nodes and arcs in the respective discipline-dependent network.
The system generates automatically code for target applications that have the necessary solution methods implemented.
The presentation will focus on the philosphy of the approach and the range of applications with the example of materials modelling and controlled plants.