Thème :
Statistical design of experiments as a tool for investigation for the influence of porous coating on the critical heat flux
Présentation :
This paper presents the results of a detailed characterization of critical heat flux (CHF), obtained using a design of experiments (DOE) methods. The results show that the operational behavior of a CHF is mainly influenced by four independent input variables. The influence of the porous coated tube on critical heat flux (CHF) is investigated. At first, there were 4 variable input factors included in the process. Only some of them have dominant effect on CHF. More exact relations, between mass flux, pressure, presence of porous coated, L/D and critical heat flux were investigated. The effect of a measurement error was also detected.
Thème :
Energetic transition within thermal machines and co-generation: Effect of mass flux on critical heat flux
Présentation :
Topics associated with the critical heat flux (CHF) in industry sector are at the heart of the hot interesting issues on the global agenda. In this paper, we introduce a new method of energy analysis of heat transfer in new generation heat exchangers applicable to the innovative sector of energy recovery. A statistical analysis is performed to study the effect of mass flux on the critical heat flux of an evaporator boiler. The aim of the present study is to provide insights into the effect of mass flux on the CHF when porous tubes are used. Independent sets of full 2 ³ factorial designs with three central points were employed in case of porous coated tubes. Results revealed that the CHF could be influenced by some factors which were dominated in the studied conditions. More specifications of CHF and its relation with the input variables were detailed in this paper.
Thème :
APPLICATION OF FACTORIAL PLAN FOR THE RECOVERY OF PHOSPHATE REJECTS +15 mm BY FLOTATION METHOD CASE OF THE MINE OF DJEBEL ONK, TEBESSA -ALGERIA
Présentation :
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Thème :
Vers un paradigme bas carbone des machines de production d’énergie
Présentation :
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Thème :
Energy Recovery – Waste Heat Recovery
Présentation :
The sources of energy losses in an internal combustion engine can be found in the exhaust circuit, cooling circuits and by the transfer of heat via convection and radiation. Cogeneration , which means the combined production of mechanical and thermal energy from the same energy source, makes it possible to fully exploit the fuel and therefore reduce carbon dioxide emissions. The significant energy and environmental disorder leads us to consider an energy policy directed towards three simultaneously major concerns: working against climatic disorder, security of primary energy supplies and the preservation of health and the environment. A cogenerating engine is a complex system that requires a generator and boilers to heat the water to be used in the local heating system. Polygeneration is an interesting prospect as a way to increase the thermal efficiency of engines. Engine cogeneration technology can increase thermal efficiency by up to 75–80%.
Thème :
Valorisation d’énergie et de chaleur fatale
Présentation :
L’optimisation énergétique des moteurs thermiques constitue un enjeu majeur pour la préservation des ressources énergétiques et la protection de l’environnement en limitant les émissions de polluants et de gaz à effet de serre.Dans ce contexte, en utilisant l’approche thermodynamique, Thermodynamique des moteurs thermiques étudie les phénomènes de conversion d’énergie des moteurs thermiques. Les analyses s’étendent de l’énergie primaire utilisée jusqu’à la valorisation de la chaleur fatale. Les bases nécessaires à la compréhension de l’analyse thermodynamique de la combustion et de la conversion de chaleur en travail mécanique sont présentées. Ces analyses s’appliquent aussi bien aux moteurs des systèmes de transport (véhicules routiers et ferroviaires, aéronautique et espace) que ceux des installations fixes (systèmes de cogénération, centrales à cycles combinés).
Thème :
Synergistic prediction of penetration rate in Boukhadhra mining using regression, design of experiments, fuzzy logic, and artificial neural networks
Présentation :
The comparative analysis of predictive methodologies highlights the original contribution of this study in optimizing the prediction of Rate of Penetration (ROP) in mining drilling operations. The emphasis on employing advanced Artificial Neural Networks (ANN), fuzzy logic, and linear regression models provides new insights into enhancing predictive accuracy and operational efficiency in mining practices. This study aims to quantify the effects of three pivotal drilling parameters: compressive strength, rotational pressure, and thrust pressure on the rate of penetration, a critical performance metric in mining drilling operations. Additionally, the study seeks to develop and evaluate advanced predictive methodologies for predicting ROP. The effects of compressive strength, rotational pressure, and thrust pressure on the rate of penetration were investigated through a Design of Experiments (DOE) approach. Initially, the main effects and two-way interactions among these variables were identified using DOE. Subsequently, three predictive methodologies: linear regression, fuzzy logic, and artificial neural networks, were developed and evaluated to predict ROP based on the identified factors. The evaluation of predictive methodologies revealed that the ANN model demonstrated superior accuracy in predicting the ROP, achieving over 95 % accuracy. Additionally, the fuzzy logic model provided effective handling of nonlinearities in the data, while the linear regression model offered initial insights into the relationships between the variables. The application of advanced predictive methodologies: artificial neural networks, fuzzy logic, and linear regression to optimize the prediction of rate of penetration in mining drilling operations offers precise insights into drilling parameter interactions, enhancing operational efficiency and supporting informed decision making in mining practices.