This book is an expanded form of the monograph, Dropwise Condensation on Inclined Textured Surfaces, Springer, 2013, published earlier by the authors, wherein a mathematical model for dropwise condensation of pure vapor over inclined textured surfaces was presented, followed by simulations and comparison with experiments. The model factored in several details of the overall quasi-cyclic process but approximated those at the scale of individual drops. In the last five years, drop level dynamics over hydrophobic surfaces have been extensively studied. These results can now be incorporated in the dropwise condensation model. Dropwise condensation is an efficient route to heat transfer and is often encountered in major power generation applications. Drops are also formed during condensation in distillation devices that work with diverse fluids ranging from water to liquid metals. Design of such equipment requires careful understanding of the condensation cycle, starting from the birth of nuclei, followed by molecular clusters, direct growth of droplets, their coalescence, all the way to instability and fall-off of condensed drops. The model described here considers these individual steps of the condensation cycle. Additional discussions include drop shape determination under static conditions, a fundamental study of drop spreading in sessile and pendant configurations, and the details of the drop coalescence phenomena. These are subsequently incorporated in the condensation model and their consequences are examined. As the mathematical model is spread over multiple scales of length and time, a parallelization approach to simulation is presented. Special topics include three-phase contact line modeling, surface preparation techniques, fundamentals of evaporation and evaporation rates of a single liquid drop, and measurement of heat transfer coefficient during large-scale condensation of water vapor. We hope that this significantly expanded text meets the expectations of design engineers, analysts, and researchers working in areas related to phase-change phenomena and heat transfer.
Dropwise Condensation on Textured Surfaces presents a holistic framework for understanding dropwise condensation through mathematical modeling and meaningful experiments. The book presents a review of the subject required to build up models as well as to design experiments. Emphasis is placed on the effect of physical and chemical texturing and their effect on the bulk transport phenomena. Application of the model to metal vapor condensation is of special interest. The unique behavior of liquid metals, with their low Prandtl number and high surface tension, is also discussed. The model predicts instantaneous drop size distribution for a given level of substrate subcooling and derives local as well as spatio-temporally averaged heat transfer rates and wall shear stress.
This book is an ensemble of six major chapters, an introduction, and a closure on modeling transport phenomena in porous media with applications. Two of the six chapters explain the underlying theories, whereas the rest focus on new applications. Porous media transport is essentially a multi-scale process. Accordingly, the related theory described in the second and third chapters covers both continuum‐ and meso‐scale phenomena. Examining the continuum formulation imparts rigor to the empirical porous media models, while the mesoscopic model focuses on the physical processes within the pores. Porous media models are discussed in the context of a few important engineering applications. These include biomedical problems, gas hydrate reservoirs, regenerators, and fuel cells. The discussion reveals the strengths and weaknesses of existing models as well as future research directions.
This book A Beginner’s Guide to Learning Analytics is designed to meet modern educational trends’ needs. It is addressed to readers who have no prior knowledge of learning analytics and functions as an introductory text to learning analytics for those who want to do more with evaluation/assessment in their organizations. The book is useful to all who need to evaluate their learning and teaching strategies. It aims to bring greater efficiency and deeper engagement to individual students, learning communities, and educators. Covered here are the key concepts linked to learning analytics for researchers and practitioners interested in learning analytics. This book helps those who want to apply analytics to learning and development programs and helps educational institutions to identify learners who require support and provide a more personalized learning experience. Like chapters show diverse uses of learning analytics to enhance student and faculty performance. It presents a coherent framework for the effective translation of learning analytics research for educational practice to its practical application in different educational domains. This book provides educators and researchers with the tools and frameworks to effectively make sense of and use data and analytics in their everyday practice. This book will be a valuable addition to researchers’ bookshelves.
Dear Readers, We live in a remarkable era of rapid technological advancement, where innovation is reshaping our world at an unprecedented pace. From artificial intelligence to renewable energy, emerging technologies are driving transformative changes across various sectors, promising to revolutionize the way we live, work, and interact. Artificial intelligence (AI) is a prime example of a groundbreaking technology that is already making a significant impact. Machine learning algorithms and deep neural networks are enabling computers to learn, reason, and make decisions like never before. AI is being employed in fields as diverse as healthcare, finance, transportation, and entertainment, revolutionizing processes, improving efficiency, and unlocking new possibilities. The Internet of Things (IoT) is another revolutionary concept that is steadily permeating our daily lives. By connecting everyday objects to the internet and allowing them to communicate and share data, IoT is creating a seamlessly interconnected environment. Smart homes, autonomous vehicles, and industrial automation are just a few examples of how IoT is reshaping industries and enhancing our quality of life. Advancements in biotechnology and genetic engineering hold the promise of tackling some of the most pressing challenges in healthcare, agriculture, and environmental conservation. Gene editing technologies like CRISPR-Cas9 have the potential to cure genetic diseases, increase crop yields, and preserve endangered species. The ability to manipulate DNA is opening up new frontiers in scientific discovery and paving the way for a more sustainable and healthier future. Renewable energy technologies are revolutionizing the global energy landscape. Solar, wind, and hydroelectric power are becoming increasingly affordable and efficient, driving the transition towards a clean energy economy. With each passing day, we are moving closer to achieving energy independence, mitigating climate change, and ensuring a sustainable future for generations to come. Blockchain technology, initially popularized by cryptocurrencies like Bitcoin, is now being recognized for its potential in transforming various industries. Its decentralized and transparent nature offers new possibilities for secure and efficient transactions, data management, and supply chain optimization. Blockchain is poised to disrupt finance, healthcare, logistics, and other sectors, driving efficiency, reducing fraud, and fostering trust. These emerging technologies are not just isolated advancements; they are interconnected and synergistic. The convergence of AI, IoT, biotechnology, renewable energy, and blockchain holds the potential for even more profound transformations. Combined, they can create smart cities with optimized energy consumption, personalized medicine tailored to individual genomes, and sustainable ecosystems that benefit both human society and the planet. However, as we embrace the promises of emerging technologies, we must also acknowledge the challenges they present. Ethical considerations, privacy concerns, and the potential for job displacement are all aspects that require careful consideration. As society navigates these transformative waters, policymakers, researchers, and citizens alike must work together to ensure responsible and equitable deployment of emerging technologies. The future is being shaped by the incredible potential of emerging technologies. As we witness their integration into our daily lives, it is imperative that we approach their development and deployment with responsibility, foresight, and empathy. By doing so, we can harness their power to create a better, more sustainable, and inclusive future for all. Sincerely, Dr K Parish Venkata Kumar Mr.Prasad Devarasetty Dr.Muralidhar Vejendla Dr N Raghvendra Sai Dr.K Gurnadha Gupta Dr P Dileep Kumar Reddy
This will help us customize your experience to showcase the most relevant content to your age group
Please select from below
Login
Not registered?
Sign up
Already registered?
Success – Your message will goes here
We'd love to hear from you!
Thank you for visiting our website. Would you like to provide feedback on how we could improve your experience?
This site does not use any third party cookies with one exception — it uses cookies from Google to deliver its services and to analyze traffic.Learn More.