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Numerical Prediction of Flow, Heat Transfer, Turbulence and Combustion: Selected Works of Professor D. Brian Spalding focuses on the many contributions of Professor Spalding on thermodynamics. This compilation of his works is done to honor the professor on the occasion of his 60th birthday. Relatively, the works contained in this book are selected to highlight the genius of Professor Spalding in this field of interest. The book presents various research on combustion, heat transfer, turbulence, and flows. His thinking on separated flows paved the way for the multi-dimensional modeling of turbulence. Arguments on the universality of the models of turbulence and the problems that are associated with combustion engineering are clarified. The text notes the importance of combustion science as well as the problems associated with it. Mathematical computations are also presented in determining turbulent flows in different environments, including on curved pipes, curved ducts, and rotating ducts. These calculations are presented to further strengthen the claims of Professor Spalding in this discipline. The book is a great find for those who are interested in studying thermodynamics.
This book focuses on heat and mass transfer, fluid flow, chemical reaction, and other related processes that occur in engineering equipment, the natural environment, and living organisms. Using simple algebra and elementary calculus, the author develops numerical methods for predicting these processes mainly based on physical considerations. Through this approach, readers will develop a deeper understanding of the underlying physical aspects of heat transfer and fluid flow as well as improve their ability to analyze and interpret computed results.
Prof. D. Brian Spalding, working with a small group of students and colleagues at Imperial College, London in the mid-to late-1960’s, single-handedly pioneered the use of Computational Fluid Dynamics (CFD) for engineering practice.​This book brings together advances in computational fluid dynamics in a collection of chapters authored by leading researchers, many of them students or associates of Prof. Spalding. The book intends to capture the key developments in specific fields of activity that have been transformed by application of CFD in the last 50 years. The focus is on review of the impact of CFD on these selected fields and of the novel applications that CFD has made possible. Some of the chapters trace the history of developments in a specific field and the role played by Spalding and his contributions. The volume also includes a biographical summary of Brian Spalding as a person and as a scientist, as well as tributes to Brian Spalding by those whose life was impacted by his innovations. This volume would be of special interest to researchers, practicing engineers, and graduate students in various fields, including aerospace, energy, power and propulsion, transportation, combustion, management of the environment, health and pharmaceutical sciences.
Learn to improve and optimize the design and operation of mixed-flow pumps Mixed-flow pumps have a huge range of applications in agriculture, hydroelectric power, and other industries that incorporate fluid transport. They are centrifugal pumps incorporating the characteristics of both axial and radial pumps to increase the flow rate and discharge pressure. Though essential in a variety of industries, they pose serious challenges to numerical simulation methods, challenges which are starting to be met by the application of computational fluid dynamics using high-performance computing. Mixed-flow Pumps introduces engineers and researchers to this subject and its important applications. Incorporating all major varieties of mixed-flow pumps used in industrial applications, it employs methods from advanced computational fluid dynamics and high-precision flow field experimentation to characterize and analyze these crucial technologies. Moving from the fundamentals of the technology to its most advanced applications, it's an essential resource for engineers and industry practitioners looking to develop their understanding of fluid transport. Mixed-flow Pumps readers will also find: Detailed information on how to design and optimize mixed-flow pumps to meet the increasingly stringent industry demands Detailed information on energy performance tests and experiments, methods for data analysis, entropy production theory, CFD solutions using Reynolds-Averaged Navier-Stokes (RANS) equations, and many more An authoritative team with immense global experience in flow pumps and broader industrial experience Mixed-flow Pumps is a useful reference for mixed-flow pump design by academic researchers, including graduate students, industry practitioners, and test engineers.
This volume comprises the select proceedings of the 3rd Biennial International Conference on Future Learning Aspects of Mechanical Engineering (FLAME-2022). It aims to provide a comprehensive and broad-spectrum picture of state-of-the-art research and development in thermal and fluid engineering. Various topics covered include flow analysis, thermal systems, flow instability, renewable energy, hydel and wind power systems, heat transfer augmentation, biomimetic/ bioinspired engineering, heat pipes, heat pumps, multiphase flow/ heat transfer, energy conversion, thermal hydraulics of nuclear systems, refrigeration, and HVAC systems, computational fluid dynamics, fluid-structure interaction, etc. This volume will prove a valuable resource for those in academia and industry.
Process intensification aims for increasing efficiency and sustainability of (bio-)chemical production processes. The second book of our two-book series focusses entirely on process intensifi cation by centrifugally enhanced (reactive) separations. The book provides an overview of the main applications of rotating packed beds (RPBs) in liquid-liquid, gas-liquid and vapor-liquid contacting, within academic research and industrial applications. The book addresses current design rules and modeling frameworks, including the tailored design of functional packings by means of additive manufacturing. Rotating packed beds are widely applicable and fl exible mass transfer machines for process intensifi cation. Applications, design rules and advanced modeling for rotating packed beds are presented in an interconnected way.
This book highlights the important use of digital technologies and the latest developments in mechanical and industrial engineering to enhance environmental and resource sustainability. Sustainable Development Goals (SDGs) have as their overarching objective the reduction or eradication of a wide range of global problems, including, but not limited to poverty, climate change, environmental degradation, and inequality. Digital technologies (DTs) have the potential to be exploited to meet the goals associated with the circular economy (CE) and sustainable development. Additive manufacturing (AM), cyber-physical systems (CPS), and blockchain technology are examples of DT-enabled technologies that are helpful for businesses that seek to shift to a circular economic model. With the remanufacturing of products, applications that make use of virtual reality and augmented reality, in addition to the Internet of Things, simplify the construction of strategic decision models that reduce time and expense while simultaneously increasing productivity. In addition, the utilization of big data analytics helps businesses discover previously undisclosed trends and unlock numerous opportunities for environmental and resource sustainability. Employing analytics makes it feasible to collect helpful information regarding the socio-environmental impact of a product, as well as consumption factors over the entirety of a product’s life cycle. This book contains 44 comprehensive chapters and is divided into five parts. Part 1 delves deeply into sustainable operational practices and supply chain management. The impact that digital technology-enabled operational techniques have on product life cycles is investigated, as well as the design of efficient remanufacturing processes, environmentally friendly logistics and warehousing practices, sustainable designs for distributed energy supply systems, and efficient recycling procedures. Part 2 provides a perspective on advanced materials and developments for sustainable manufacturing. The chapters in this section address sustainable material development and its application in the circular economy concept. Included here is an in-depth exploration of cutting-edge technology for synthesis, processing, fabrication, process optimization, testing, and performance evaluation of advanced materials. Part 3 covers sustainable manufacturing practices and looks at the problems faced by the industry when using digital technologies in their operations, as well as the possible benefits. Part 4 examines sustainable innovation in mechanical design. It addresses all aspects of mechanical design that contribute to sustainable innovation for nation-building. Part 5 delves into heat transfer and fluid flow concepts for sustainable product development and applications. The chapters explain how to construct sustainable energy systems by reducing the total amount of energy that is utilized, enhancing the efficiency of the process of energy conversion, and making use of sources of energy that are renewable. Audience This book has a wide audience in academic institutions and engineers in a variety of manufacturing industries. It will also appeal to economists and policymakers working on the circular economy, clean tech investors, industrial decision-makers, and environmental professionals.
This book contains papers presented in the 6th International Conference on Civil, Offshore & Environmental Engineering (ICCOEE2020) under the banner of World Engineering, Science & Technology Congress (ESTCON2020) will be held from 13th to 15th July 2021 at Borneo Convention Centre, Kuching, Sarawak, Malaysia. This proceeding contains papers presented by academics and industrial practitioners showcasing the latest advancements and findings in civil engineering areas with an emphasis on sustainability and the Industrial Revolution 4.0. The papers are categorized under the following tracks and topics of research: 1. Resilient Structures and Smart Materials 2. Advanced Construction and Building Information Modelling 3. Smart and Sustainable Infrastructure 4. Advanced Coastal and Offshore Engineering 5. Green Environment and Smart Water Resource Management Systems
Matthäus Jäger examines the simulation of liquid-gas flow in fuel tank systems and its application to sloshing problems. The author focuses at first on the physical model and the assumptions necessary to derive the respective partial differential equations. The second step involves the cell-centered finite volume method and its application to fluid dynamic problems with free surfaces using a volume of fluid approach. Finally, the application of the method for different use cases is presented followed by an introduction to the methodology for the interpretation of the results achieved.
Road transports are responsible for almost 18 % of the greenhouse gas emission in Europe and are today the leading cause of air pollution in cities. Aerodynamic resistance has a significant effect on fuel consumption and hence the emission of vehicles. For electric vehicles, emissions are not affected by the aerodynamics as such but instead have a significant effect on the effective range of the vehicle. In 2017, a new measurement procedure was introduced, Worldwide Harmonized Light Vehicles Test Procedure (WLTP), for measuring emissions, fuel consumption, and range. This procedure includes a new test cycle with increased average driving speed compared to the former procedure, which thereby increases the importance of the aerodynamic resistance, as it drastically increases with speed. A second effect is that the exact car configuration sold to the customer needs to be certified in terms of fuel consumption and emissions. The result is that every possible combination of optional extras, which might affect the aerodynamic resistance, needs to be aerodynamically analyzed and possibly improved. From 2021, the European Commission will introduce stricter emission regulations for new passenger cars, with the fleet-wide average lowered to 95 grams CO2=km, which puts an even higher demand on achieving efficient aerodynamics. Virtual development of the aerodynamics of road vehicles is today used to a great extent, using Computational Fluid Dynamics, as it enables faster and cheaper development. However, achieving high accuracy for the prediction of the flow field and aerodynamic forces is challenging, especially given the complexity of both the vehicle geometry in itself and the surrounding flow field. Even for a simplified generic bluff body, accurately predicting the flow field and aerodynamic forces is a challenge. The main reason for this challenge of achieving results with high accuracy is the prediction of the complex behavior of turbulence. Scale-resolving simulation (SRS) methods, such as Large Eddy Simulation (LES), where most of the turbulent structures are resolved has in many studies shown high accuracy but unfortunately to a very high computational cost. It is primarily the small turbulent structures within the near-wall region that requires a _ne resolution in both space (the mesh) and in time. This fine resolution is the reason for the very high computational cost and makes LES unfeasible for practical use in industrial aerodynamic development at present and in the near future. By modeling the turbulent structures within the near-wall region using a Reynolds-Averaged Navier-Stokes (RANS) model, and resolving the turbulence outside the region with a LES model, a coarser resolution is possible to use, resulting in significantly lower computational cost. Which used RANS model is of high importance, and especially how much turbulent viscosity the model generates, as too high values can result in suppression of the resolved turbulence. The transitioning between the RANS and LES regions have a significant effect on the results. Faster transition enables more resolved turbulence, favorable for higher accuracy, but needs to be balanced with sufficient shielding of the RANS region. If resolving the turbulence occurs within the near-wall region, and the mesh is not sufficiently fine, it can result in poor accuracy. By increasing the time-step size and disregarding best-practice guides, the computational cost can be significantly reduced. The accuracy is reasonably insensitive to the larger time step sizes until a certain degree, thereby enabling computationally cheaper SRS to achieve high accuracy of aerodynamic predictions needed to meet present and future emission regulations.