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Books in Physical sciences and engineering

2271-2280 of 25894 results in All results

Human Factor and Reliability Analysis to Prevent Losses in Industrial Processes

  • 1st Edition
  • March 23, 2022
  • Salvador Avila Filho + 2 more
  • English
  • Paperback
    9 7 8 - 0 - 1 2 - 8 1 9 6 5 0 - 2
  • eBook
    9 7 8 - 0 - 1 2 - 8 1 9 6 5 1 - 9
Human reliability is an issue that is increasingly discussed in the process and manufacturing industries to check factors that influence operator performance and trigger errors. Human Factor and Reliability Analysis to Prevent Losses in Industrial Processes: An Operational Culture Perspective provides a multidisciplinary analysis of work concepts and environments to reduce human error and prevent material, energy, image, and time losses.    The book presents a methodology for the quantification and investigation of human reliability, and verification of the influence of human factors in the generation of process losses, consisting of the following steps: contextualization, data collection, and results; performing task and loss observation; socio-technical variable analyses; and data processing. Investigating human reliability, concepts, and models in situations of human error in practice, the book identifies where low reliability occurs and then visualizes where and how to perform an intervention. This guide is an excellent resource for professionals in chemical, petrochemical, oil, and nuclear industries for managing and analyzing safety and loss risks and for students in chemical and process engineering. 

Machine Learning for Planetary Science

  • 1st Edition
  • March 22, 2022
  • Joern Helbert + 3 more
  • English
  • Paperback
    9 7 8 - 0 - 1 2 - 8 1 8 7 2 1 - 0
  • eBook
    9 7 8 - 0 - 1 2 - 8 1 8 7 2 2 - 7
Machine Learning for Planetary Science presents planetary scientists with a way to introduce machine learning into the research workflow as increasingly large nonlinear datasets are acquired from planetary exploration missions. The book explores research that leverages machine learning methods to enhance our scientific understanding of planetary data and serves as a guide for selecting the right methods and tools for solving a variety of everyday problems in planetary science using machine learning. Illustrating ways to employ machine learning in practice with case studies, the book is clearly organized into four parts to provide thorough context and easy navigation. The book covers a range of issues, from data analysis on the ground to data analysis onboard a spacecraft, and from prioritization of novel or interesting observations to enhanced missions planning. This book is therefore a key resource for planetary scientists working in data analysis, missions planning, and scientific observation.

Low-Grade Thermal Energy Harvesting

  • 1st Edition
  • March 22, 2022
  • Shiren Wang
  • English
  • Paperback
    9 7 8 - 0 - 1 2 - 8 2 3 6 9 0 - 1
  • eBook
    9 7 8 - 0 - 1 2 - 8 2 3 6 9 1 - 8
Low-Grade Thermal Energy Harvesting: Advances in Thermoelectrics, Materials, and Emerging Applications provides readers with fundamental and key concepts surrounding low-grade thermal energy conversion while also reviewing the latest research directions. The book covers the most promising and emerging technologies for low-grade heat recovery, harvesting and conversion, including wearable thermoelectrics and organic thermoelectrics. Each chapter includes key materials, principles, design and fabrication strategies for low-grade heat recovery. Special attention on emerging materials such as organic composites, 2D materials and nanomaterials are also included. The book emphasizes materials and device structures that enable the powering of wearable electronics and consumer electronics. The book is suitable for materials scientists and engineers in academia and R&D in manufacturing, industry, energy and electronics.

Risk, Reliability and Sustainable Remediation in the Field of Civil and Environmental Engineering

  • 1st Edition
  • March 22, 2022
  • Thendiyath Roshni + 4 more
  • English
  • Paperback
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  • eBook
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Risk, Reliability and Sustainable Remediation in the Field of Civil and Environmental Engineering illustrates the concepts of risk, reliability analysis, its estimation, and the decisions leading to sustainable development in the field of civil and environmental engineering. The book provides key ideas on risks in performance failure and structural failures of all processes involved in civil and environmental systems, evaluates reliability, and discusses the implications of measurable indicators of sustainability in important aspects of multitude of civil engineering projects. It will help practitioners become familiar with tolerances in design parameters, uncertainties in the environment, and applications in civil and environmental systems. Furthermore, the book emphasizes the importance of risks involved in design and planning stages and covers reliability techniques to discover and remove the potential failures to achieve a sustainable development.

Nuclear Engineering

  • 1st Edition
  • March 22, 2022
  • Zafar Ullah Koreshi
  • English
  • Paperback
    9 7 8 - 0 - 3 2 3 - 9 0 6 1 8 - 0
  • eBook
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Nuclear Engineering Mathematical Modeling and Simulation presents the mathematical modeling of neutron diffusion and transport. Aimed at students and early career engineers, this highly practical and visual resource guides the reader through computer simulations using the Monte Carlo Method which can be applied to a variety of applications, including power generation, criticality assemblies, nuclear detection systems, and nuclear medicine to name a few. The book covers optimization in both the traditional deterministic framework of variational methods and the stochastic framework of Monte Carlo methods. Specific sections cover the fundamentals of nuclear physics, computer codes used for neutron and photon radiation transport simulations, applications of analyses and simulations, optimization techniques for both fixed-source and multiplying systems, and various simulations in the medical area where radioisotopes are used in cancer treatment.

Braking of Road Vehicles

  • 2nd Edition
  • March 21, 2022
  • Andrew J. Day + 1 more
  • English
  • Paperback
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  • eBook
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Braking of Road Vehicles, Second Edition includes updated and new subject matter related to the technological advances of road vehicles such as hybrid and electric vehicles and "self-driving" and autonomous vehicles. New material to this edition includes root causes, guidelines, experimental and measurement techniques, brake NVH identification and data analysis, CAE and dynamic modelling, advances in rotor and stator materials, manufacturing methods, changes to European and US legislation since 2014, recent developments in technology, methods and analysis, and new and updated case studies. This new edition will continue to be of interest to engineers and technologists in automotive and road transport industries, automotive engineering students and instructors, and professional staff in vehicle-related legislational, legal, military, security and investigative functions.

Self-Healing Materials

  • 2nd Edition
  • March 21, 2022
  • George Wypych
  • English
  • Hardback
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  • eBook
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Self-Healing Materials: Principles and Technology, Second Edition provides engineers and researchers in both industry and academia the information they need to deploy self-healing technology in a range of potential applications, from adhesives to the automotive industry, and from electronics to biomedical implants. Sections discuss the principal mechanisms of self-healing and how these are applied to the development of materials that have the ability to repair themselves, either with minimal or no human intervention. In addition, the book provides a theoretical background and a review of the major research undertaken to date, providing a thorough grounding in this concept and related technology. Other sections compare the parameters of different self-healing technological processes, such as fault detection mechanisms, methods of triggering and turning off the healing processes, the activation energy of self-healing processes, the means and methods of delivery of the healing substances to the defect locations, self-healing timescale (rate of self-healing), and the extent of self-healing (healing efficiency, recovery of properties, etc.). In addition, mathematical modeling of the processes of self-healing (molecular dynamics simulation), the morphology of healed areas, and other important topics are thoroughly discussed.

Rheology

  • 4th Edition
  • March 21, 2022
  • Alexander Y. Malkin + 1 more
  • English
  • Hardback
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  • eBook
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Rheology: Concepts, Methods, and Applications, Fourth Edition provides a thorough historical and theoretical grounding in the field and introduces rheology as the method for solving many practical problems in materials science and engineering. This new edition has been updated to include new evidence-based methods and applications, coverage of non-Newtonian properties and their effect on material processing, heterogeneity in flow, rheology of highly concentrated emulsions and suspensions, viscosity and viscoelastic behavior of nanocomposites, the behavior of supramolecular solutions, rheology of gels, deformation-induced anisotropy, conformation changes during flow and molecular orientation. The book is practical and relevant for industry, but also consistent with rheology courses in academia, making it relevant to both academics and accomplished rheologists in industry.

Metal Oxide-Carbon Hybrid Materials

  • 1st Edition
  • March 20, 2022
  • Muhammad Akram Chaudhry + 2 more
  • English
  • Paperback
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  • eBook
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Metal Oxide–Carbon Hybrid Materials: Synthesis, Properties and Applications reviews the advances in the fabrication and application of metal oxide–carbon-based nanocomposite materials. Their unique properties make them ideal materials for gas-sensing, photonics, catalysis, opto-electronic, and energy-storage applications. In the first section, the historical background to the hybrid materials based on metal oxide–carbon and the hybridized metal oxide composites is provided. It also highlights several popular methods for the preparation of metal oxide–carbon composites through solid-state or solution-phase reactions, and extensively discusses the materials’ properties. Fossil fuels and renewable energy sources cannot meet the ever-increasing energy demands of an industrialized and technology-driven global society. Therefore, the role of metal oxide–carbon composites in energy generation, hydrogen production, and storage devices, such as rechargeable batteries and supercapacitors, is of extreme importance. These problems are discussed in in the second section of the book. Rapid industrialization has resulted in serious environmental issues which in turn have caused serious health problems that require the immediate attention of researchers. In the third section, the use of metal oxide–carbon composites in water purification, photodegradation of industrial contaminants, and biomedical applications that can help to clean the environment and provide better healthcare solutions is described. The final section is devoted to the consideration of problems associated with the development of sensors for various applications. Numerous studies performed in this area have shown that the use of composites can significantly improve the operating parameters of such devices. Metal Oxide–Carbon Hybrid Materials: Synthesis, Properties and Applications presents a comprehensive review of the science related to metal oxide–carbon composites and how researchers are utilizing these materials to provide solutions to a large array of problems.

Current Trends and Advances in Computer-Aided Intelligent Environmental Data Engineering

  • 1st Edition
  • March 20, 2022
  • Goncalo Marques + 1 more
  • English
  • Paperback
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  • eBook
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Current Trends and Advances in Computer-Aided Intelligent Environmental Data Engineering merges computer engineering and environmental engineering. The book presents the latest finding on how data science and AI-based tools are being applied in environmental engineering research. This application involves multiple domains such as data science and artificial intelligence to transform the data collected by intelligent sensors into relevant and reliable information to support decision-making. These tools include fuzzy logic, knowledge-based systems, particle swarm optimization, genetic algorithms, Monte Carlo simulation, artificial neural networks, support vector machine, boosted regression tree, simulated annealing, ant colony algorithm, decision tree, immune algorithm, and imperialist competitive algorithm. This book is a fundamental information source because it is the first book to present the foundational reference material in this new research field. Furthermore, it gives a critical overview of the latest cross-domain research findings and technological developments on the recent advances in computer-aided intelligent environmental data engineering.