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We experimentally and numerically study the dynamics of a liquid jet issued from a rotating orifice, whose breakup is regulated by a vibrating piezo element. The helical trajectory of the spiralling jet yields fictitious forces varying along the jet whose longitudinal projections stretch and thin the jet, affecting the growth of perturbations. We show that by quantifying these fictitious forces, one can estimate the jet intact length and size distribution of drops formed at jet breakup. The presence of the locally varying fictitious forces may render high-frequency perturbations, that would otherwise be stable in the abscence of stretching, unstable, as observed similarly in the case of straight jets stretching under gravity. The perturbation amplitude then dictates how strong the perturbation is coupled to the jet compared with random noise that is inherently present in any experimental set-up. In the present study we exploit the slenderness of the jet to separate the calculation of the base flow and the growth of perturbations. The fictitious forces calculated from the base flow trajectory are then used in a nonlinear slender-jet model, which treats the spiralling jet as a quasi-straight jet with locally varying body forces. We show both experimentally and numerically that jet breakup characteristics (e.g. intact length and drop size distribution) can be controlled by finite-amplitude perturbations created by mechanically induced pressure modulations. Finally, we revisit the integrated net gain approach developed for straight jets under gravity and we provide simple analogous relations for spiralling jets.
At the forefront of cutting-edge technologies, this text provides a comprehensive treatment of a crucial network performance metric, ushering in new opportunities for rethinking the whole design of communication systems. Detailed exposition of the communication and network theoretic foundations of Age of Information (AoI) gives the reader a solid background, and discussion of the implications on signal processing and control theory shed light on the important potential of recent research. The text includes extensive real-world applications of this vital metric, including caching, the Internet of Things (IoT), and energy harvesting networks. The far-reaching applications of AoI include networked monitoring systems, cyber-physical systems such as the IoT, and information-oriented systems and data analytics applications ranging from the stock market to social networks. The future of this exciting subject in 5G communication systems and beyond make this a vital resource for graduate students, researchers and professionals.
Over the past several decades, analyses of solute migration in aquifers have widely adopted the classical advection-dispersion equation. However, misunderstandings over advection-dispersion concepts, their relationship with the scales of heterogeneity, our observation and interest, and their ensemble mean nature have created furious debates about the concepts' validity. This book provides a unified and comprehensive overview and lucid explanations of the stochastic nature of solute transport processes at different scales. It also presents tools for analyzing solute transport and its uncertainty to meet our needs at different scales. Easy-to-understand physical explanations without complex mathematics make this book an invaluable resource for students, researchers, and professionals performing groundwater quality evaluations, management, and remediation.
The world needs to turn away from fossil fuels and use clean, renewable sources of energy as soon as we can. Failure to do so will cause catastrophic climate damage sooner than you might think, leading to loss of biodiversity and economic and political instability. But all is not lost! We still have time to save the planet without resorting to 'miracle' technologies. We need to wave goodbye to outdated technologies, such as natural gas and carbon capture, and repurpose the technologies that we already have at our disposal. We can use existing technologies to harness, store, and transmit energy from wind, water, and solar sources to ensure reliable electricity, heat supplies, and energy security. Find out what you can do to improve the health, climate, and economic state of our planet. Together, we can solve the climate crisis, eliminate air pollution and safely secure energy supplies for everyone.
Well-resolved direct numerical simulations (DNS) have been performed of the flow in a smooth circular pipe of radius $R$ and axial length $10{\rm \pi} R$ at friction Reynolds numbers up to $Re_\tau =5200$ using the pseudo-spectral code OPENPIPEFLOW. Various turbulence statistics are documented and compared with other DNS and experimental data in pipes as well as channels. Small but distinct differences between various datasets are identified. The friction factor $\lambda$ overshoots by $2\,\%$ and undershoots by $0.6\,\%$ the Prandtl friction law at low and high $Re$ ranges, respectively. In addition, $\lambda$ in our results is slightly higher than in Pirozzoli et al. (J. Fluid Mech., vol. 926, 2021, A28), but matches well the experiments in Furuichi et al. (Phys. Fluids, vol. 27, issue 9, 2015, 095108). The log-law indicator function, which is nearly indistinguishable between pipe and channel up to $y^+=250$, has not yet developed a plateau farther away from the wall in the pipes even for the $Re_\tau =5200$ cases. The wall shear stress fluctuations and the inner peak of the axial turbulence intensity – which grow monotonically with $Re_\tau$ – are lower in the pipe than in the channel, but the difference decreases with increasing $Re_\tau$. While the wall value is slightly lower in the channel than in the pipe at the same $Re_\tau$, the inner peak of the pressure fluctuation shows negligible differences between them. The Reynolds number scaling of all these quantities agrees with both the logarithmic and defect-power laws if the coefficients are properly chosen. The one-dimensional spectrum of the axial velocity fluctuation exhibits a $k^{-1}$ dependence at an intermediate distance from the wall – also seen in the channel. In summary, these high-fidelity data enable us to provide better insights into the flow physics in the pipes as well as the similarity/difference among different types of wall turbulence.
The solution to air pollution, global warming, and energy insecurity is, in theory, simple and straightforward: Electrify or provide direct heat for all energy; obtain the electricity and heat from only wind, water, and solar power (WWS); store energy, transmit electricity over long distance; and reduce energy use. This chapter first explores the main components of a WWS system, then focuses on the WWS electricity-generating technologies that will replace traditional energy sources, thereby eliminating all global anthropogenic emissions from energy sources.
So far, this book has examined the main technologies needed for a 100 percent clean, renewable energy and storage system. Virtually all of these technologies exist today, and none is a miracle technology. This chapter focuses on combining the technologies together in countries, states, cities, and towns to provide end-point roadmaps for a transition. Such roadmaps provide targets for meeting all-purpose power demand with 100 percent WWS in the annual average by some year, often 2050, but ideally sooner, such as 2035. Chapter 13 discusses methods of matching power demand continuously (rather than in the annual average) with WWS supply, storage, and demand response Roadmaps and grid stability analyses are helpful for giving policymakers, utilities, and the public confidence that a transition will not cause grid failures, particularly during extreme weather events.
Multiphase segmentation of pore-scale features and identification of mineralogy from digital images of materials is critical for many applications in the natural resources sector. However, the materials involved (rocks, catalyst pellets, and synthetic alloys) have complex and unpredictable composition. Algorithms that can be extended for multiphase segmentation of images of these materials are relatively few and very human-intensive. Challenges lie in designing algorithms that are context free, can function with less training data, and can handle the unpredictability of material composition. Semisupervised algorithms have shown success in classification in situations characterized by limited training data; they use unlabeled data in addition to labeled data to produce classification. The segmentation obtained can be more accurate than fully supervised learning approaches. This work proposes using a semisupervised clustering algorithm named Continuous Iterative Guided Spectral Class Rejection (CIGSCR) toward multiphase segmentation of digital scans of materials. CIGSCR harnesses spectral cohesion, splitting the intensity histogram of the input image down into clusters. This splitting provides the foundation for classification strategies that can be implemented as postprocessing steps to get the final segmentation. One classification strategy is presented. Micro-computed tomography scans of rocks are used to present the results. It is demonstrated that CIGSCR successfully enables distinguishing features up to the uniqueness of grayscale values, and extracting features present in full image stacks (3D), including features not presented in the training data. Results including instances of success and limitations are presented. Scalability to data sizes $ \mathcal{O}\left({10}^9\right) $ voxels is briefly discussed.
Aside from implementing WWS and storage technologies, the main suggestions for reducing or eliminating energy-related emissions have included using natural gas for electricity instead of coal, using natural gas or coal with carbon capture, using nuclear power instead of fossil fuels for electricity, using biomass with or without carbon capture for electricity, using liquid biofuels instead of gasoline or diesel for transportation, and using blue instead of green hydrogen. Non-energy-producing methods have also been proposed to remediate global warming. These include primarily synthetic direct air carbon capture and geoengineering. Policies that include these technologies along with WWS technologies are referred to as “all-of-the-above” policies, since they involve promoting most all technologies, regardless of their side effects, cost, effectiveness, or length of time between planning and operation. The justification for using these technologies is that they are a bridge between current carbon-intense technologies and WWS. This chapter discusses these non-WWS technologies and delineates the reasons why they are not needed or helpful for solving global warming, air pollution, and energy security problems.