Process modeling and optimization

Process modeling of industrial applications allows simulation and assessment of current or non-conventional operating conditions, prognostic evaluation of the plant behavior in future scenarios, analyses of process integration solutions, as well as optimization of process parameters configurations for improving product properties and productivity

Mathematical modeling

FEM modeling

AI based modeling

Process modeling and optimization through Aspen+®
AI techniques for industrial problems

Wide expertise on artificial intelligence techniques and on their exploitation in diverse industrial fields for handling real world problems.

Artificial neural networks

Fuzzy and neuro-fuzzy systems

Single & multi-objective evolutionary algorithms
Iron & steel sector and other process industries

Wide expertise in the application of AI techniques, mathematical modelling and dedicated simulation tools for the process industry, with a particular focus on the steelmaking sector.
Exemplar applications are:

Material properties prediction

Modelling and simulation of complex thermo-mechanical processing

Process monitoring and control

Scheduling and logistic optimization

Total site analysis

Control and assessment of environmental impact

Simulations and studies on by-products reuse and recycling

ICT COISP

Information and Communication Technologies for
Complex Industrial Systems and Processes

Born from the need to develop research topics belonging to different areas, the Center can exploit the extensive expertise acquired over the years by the Institute researchers in artificial intelligence, software architectures and network services, making them available to industry in order to solve specific issues.

A single shared environment where to develop research applied to efficient analysis of data from industrial contexts aiming at monitoring and controlling of systems and industrial processes, as well as at modelling, simulation and optimization of the same processes.

Applications of these technologies are broad: starting from detection, prediction and prevention of inefficiencies, anomalies, failures and qualitative drifts (for example, in order to improve control systems or to schedule on time preventive maintenance operations), for identifying the causes of anomalous events, which is an essential prerequisite for the improvement of existing systems and for designing advanced ones.

Moreover, these technologies can be applied to machinery design and control, to the management and optimization of entire production processes (in terms of product quality, production costs, energy consumption, efficient management of resources, environmental impact, etc.), to the development of models to predict the behaviour of the machinery or of the product management in the intermediate stages of processing, down to scenario studies to assess the feasibility of more radical transformations of the same processes.

Even the potential of these technologies is enormous in terms of extraction, formalization and hoarding of corporate know-how, which is the most important resource in maintaining and increasing the competitiveness in the global market.

ICT-COISP

Via Alamanni 13b
56010 Ghezzano, Pisa
ITALY

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Process modeling and optimization

AI techniques for industrial problems

Iron & steel sector and other process industries

ICT COISP