“…The author explores the origins of the eighteenth-century chemical revolution as it centers on Antoine-Laurent Lavoisier's earliest work on combustion. He shows that the main lines of Lavoisier's theory-including his theory of a heat-fluid, caloric-were elaborated well before his discovery of the role played by oxygen. …”

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Enlace del recurso

Materias: “…Combustibles nuclears Aspectes econòmics…”

Tabla de Contenidos: “…Engines for hybrid powertrains and electrification, IC engines, Fuel cellsE-machines, Air-path and other technologies achieving performance and fuel economy benefits, Advances and improvements in combustion and ignition systems, Emissions regulation and their control by engine and after-treatment, Developments in real-world driving cycles, Advanced boosting systems, Connected powertrains (AI), Electrification opportunities, Energy conversion and recovery systems, Modified or novel engine cycles, IC engines for heavy duty and off highway…”

“…Propone un modelo teórico para la dirección del proyecto ampliación del depósito de combustibles…”
Acceso restringido con credenciales UPSA

Enlace del recurso

“…Propone un modelo teórico para la dirección del proyecto ampliación del depósito de combustibles…”
Acceso restringido con credenciales UPSA

Tabla de Contenidos: “…Front Cover; Contents; Preface; Authors; Abbreviations; Chapter 1 - Introduction: Land, Sea and Air Transportation; Chapter 2 - Conventional Fuels for Land Transportation; Chapter 3 - Alternative Fuels for Land Transportation; Chapter 4 - Aviation Fuels; Chapter 5 - Utilisation of Alternative Fuels in Internal Combustion Engines/Vehicles; Chapter 6 - Fuel Quality Characterisation for Suitability of Internal Combustion Engines; Chapter 7 - Modelling of Alternative Fuelled Internal Combustion Engines; Chapter 8 - Alternative Powered Vehicles…”

Tabla de Contenidos: “…Introduction -- ML Algorithms, Techniques and their Application to Reactive Molecular Dynamics Simulations -- Big Data Analysis, Analytics & ML role -- ML for SGS Turbulence (including scalar flux) Closures -- ML for Combustion Chemistry -- Applying CNNs to model SGS flame wrinkling in thickened flame LES (TFLES) -- Machine Learning Strategy for Subgrid Modelling of Turbulent Combustion using Linear Eddy Mixing based Tabulation -- MILD Combustion–Joint SGS FDF -- Machine Learning for Principal Component Analysis & Transport -- Super Resolution Neural Network for Turbulent non-premixed Combustion -- ML in Thermoacoustics -- Concluding Remarks & Outlook…”

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