Abstract With technology development, there is a growing need for an accurate simulation tools, allowing the best possible representation of the reality. Developed model found not only application in prototyping process but can provide significant knowledge into the artificial intelligent model extending their comprehension. Computational performance and accuracy of the numerical model, dedicated for granular flows are mostly a function of mathematical model that track the mutual interaction between particles. Currently the kinetic theory of granular flow or soft- and hard-sphere collision models are used for modeling particle interactions. Each of them suffers from some imperfection that often limit the problem sizes. The purpose of this work is building new mathematical approach, not only fast, but also accurate regarding predicting collisions and determining particle trajectories by application of machine learning technique.

Representation

10.21203/rs.3.rs-2178782/v1

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Hybrid Modeling of a Circulating Fluidized Bed Boiler for Development of a Prediction and Prescription System for Power Plant Operation

Sławomir Sładek Bartłomiej Melka Adam Klimanek Lucyna Czarnowska Agata Widuch

A prediction and prescription system for the operation of power plants can improve efficiency, reduce emissions, enhance boiler availability, and ultimately contribute to more sustainable energy systems. In this study, a hybrid model of a circulating fluidized bed boiler was developed for a supercritical, once-through boiler in {\L}agisza, Poland. The approach combines computational fluid dynamics model, practice-oriented macro-scale models, and a data-driven reduced order model to capture both the physical and empirical behaviors of the boiler and to provide a fast simulation of the process. The hybrid model was validated against real measurement data and showed good accuracy in predicting key process variables. In the future, the developed model can be used as a prediction and prescription system to enable operators to optimize the boiler operation and prevent abnormal events. The following paper describes the development and validation of the hybrid model.

Fluidized bed combustion

10.2139/ssrn.4471632

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A methodology to determine the thermal diffusivity of additively manufactured jet engine blades based on laser-induced temperature field

Measurement (2022)

Wojciech Adamczyk Sebastian Pawlak T. Durejko Magdalena Łazińska Ryszard A. Białecki

This paper presents a new methodology for the thermal diffusivity determination of additively manufactured jet engine blades by using active infrared thermography. The technique is combined with a dedicated procedure based on deep machine learning models. The investigated samples were fabricated from different metal alloy powders by using the Laser Engineered Net Shaping (LENS®) technique. The experimental data for model development were in the form of laser shot-induced temperature fields, obtained from an original, in-house developed test apparatus. The advantage of the proposed methodology is that it can be used for the non-destructive measurements of the additively manufactured jet engine blades, which distinguishes the presented approach from the traditional laser-flash technique or other well-established methods. The obtained experimental values of the thermal diffusivity are in good agreement with data measured using the ASTM standard test method. The presented non-destructive technique has significant implementation/commercialization potential when applied to quality control or diagnostic procedures of 3D-printed parts.

Thermography

Jet engine

10.1016/j.measurement.2022.111955

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Technique for reducing erosion in large-scale circulating fluidized bed units

Powder Technology (2023)

Jaroslaw Grochowalski Agata Widuch Sławomir Sładek Bartłomiej Melka Marcin Nowak

Unit operation

Power unit

Fluidized bed combustion

10.1016/j.powtec.2023.118651

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Citations (6)