Eventos Anais de eventos
CREEM2025
CREEM 2025 - XXXI Congresso Nacional de Estudantes de Engenharia Mecânica Congresso Nacional de Estudantes de Engenharia Mecânica
Data-Driven Models for Health Monitoring of Thermal Systems
Submission Author:
Joao Luiz Perez Pereira , Sao Paulo , Brazil
Co-Authors:
Joao Luiz Perez Pereira, Samuel da Silva
Presenter: Joao Luiz Perez Pereira
doi://10.26678/ABCM.CREEM2025.CRE2025-0076
Abstract
Heat exchangers are widely used in industrial processes for the purpose of heating or cooling liquids, and during use life they experience a loss in heat transfer capacity. Monitoring and controlling this issue requires a representative model of the system. Digital Twin models have been used as tools for the development of models aimed at simulation, digital testing, adjustments, and system monitoring. In this work, the modeling of a shell and tube thermal system is presented, using a Digital Twin model to analyze the effects of damage on the system’s heat transfer capacity. Two damage conditions were simulated, and the results show that the model has potential for monitoring the system’s healthy.
Keywords
Systems identification, data-driven models, monitoring, Diagnostics and Control
