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This text provides an in-depth overview of sustainability in machining processes, challenges during machining of difficult-to-cut materials and different ways of green machining in achieving sustainability. It discusses important topics including green and sustainable machining, dry machining, textured cutting coated tools for machining, solid lubricants-based machining, gas-cooled machining, cryogenic cooling for intelligent machining, artificial neural network for machining, big data based machining, and hybrid intelligent machining. This book- Covers advances in sustainable machining such as gas-cooled machining, near dry machining, and minimum quantity lubrication. Explores use of big da...
Reliability and maintenance modeling with optimization is the most fundamental and interdisciplinary research area that can be applied to every technical and management field. Reliability and Maintenance Modeling with Optimization: Advances and Applications aims at providing the most recent advances and achievements in reliability and maintenance. The book discusses replacement, repair, and inspection, offers estimation and statistical tests, covers accelerated life testing, explores warranty analysis manufacturing, and includes service reliability. The targeted readers are researchers interested in reliability and maintenance engineering. The book can serve as supplemental reading in professional seminars for engineers, designers, project managers, and graduate students.
The evolution of soft computing applications has offered a multitude of methodologies and techniques that are useful in facilitating new ways to address practical and real scenarios in a variety of fields. In particular, these concepts have created significant developments in the engineering field. Soft Computing Techniques and Applications in Mechanical Engineering is a pivotal reference source for the latest research findings on a comprehensive range of soft computing techniques applied in various fields of mechanical engineering. Featuring extensive coverage on relevant areas such as thermodynamics, fuzzy computing, and computational intelligence, this publication is an ideal resource for students, engineers, research scientists, and academicians involved in soft computing techniques and applications in mechanical engineering areas.
In recent years, substantial efforts are being made in the development of reliability theory including fuzzy reliability theories and their applications to various real-life problems. Fuzzy set theory is widely used in decision making and multi criteria such as management and engineering, as well as other important domains in order to evaluate the uncertainty of real-life systems. Fuzzy reliability has proven to have effective tools and techniques based on real set theory for proposed models within various engineering fields, and current research focuses on these applications. Advancements in Fuzzy Reliability Theory introduces the concept of reliability fuzzy set theory including various methods, techniques, and algorithms. The chapters present the latest findings and research in fuzzy reliability theory applications in engineering areas. While examining the implementation of fuzzy reliability theory among various industries such as mining, construction, automobile, engineering, and more, this book is ideal for engineers, practitioners, researchers, academicians, and students interested in fuzzy reliability theory applications in engineering areas.
This book reflects the new dimension of biofuel production from its introductory principles to the advancements from a future prospective. It summarizes the rationale for changes in liquid fuel utilization and the selection of new technologies to make biofuel cost-effective and move toward a carbon-neutral approach. It provides an evidence-based outline of how additives and nanotechnology chemically change biofuels' quality and effectiveness, including new and innovative approaches, such as nanomaterials and various nano-additives. Features: It provides an overview of biowaste as a sustainable source in the field of biofuel production It includes effective conversion parameters of the biowaste feedstocks and their classification It summarizes current research into the development and exploitation of new biofuel sources It discusses the improvement of pilot scale scalability, chemical processing, and design flow It presents relevant and realistic global explanations of biowaste management techniques for biofuels This book is aimed at senior undergraduate and graduate students, and researchers in bioprocessing, chemical engineering, and biotechnology.
This book presents the state-of-the-art methods in Linear Integer Programming, including some new algorithms and heuristic methods developed by the authors in recent years. Topics as Characteristic equation (CE), application of CE to bi-objective and multi-objective problems, Binary integer problems, Mixed-integer models, Knapsack models, Complexity reduction, Feasible-space reduction, Random search, Connected graph are also treated.
This work presents the guiding principles of Integral Transforms needed for many applications when solving engineering and science problems. As a modern approach to Laplace Transform, Fourier series and Z-Transforms it is a valuable reference for professionals and students alike.
This book provides in-depth knowledge about cross rolling of biomedical alloys, cellulose, magnetic iron oxide nanoparticles, magnesium-based nanocomposites, titanium, titanium alloys, stainless steel, and improved biodegradable implants materials for biomechanical applications like joint replacements, bone plates, bone cement, artificial ligaments and tendons, dental implants for tooth fixation, and hip implants. It comprehensively covers advancements in materials including graphene-reinforced magnesium metal matrix, magnesium and its alloys, and 2D nanomaterials. The text discusses important topics including advanced materials for biomechanical applications, design, and analysis of stainless steel 316L for femur bone fracture healing, design and manufacturing of prosthetic dental implants, a biomechanical study of a low-cost prosthetic leg, and an energy harvesting mechanism for walking applications. The text will serve as a useful text for graduate students, academic researchers, and general practitioners in areas including materials science, manufacturing engineering, mechanical engineering, and biomechanical engineering.
The text envisages novel optimization methods that significantly impact real-life problems, starting from inventory control to economic decision-making. It discusses topics such as inventory control, queueing models, timetable scheduling, fuzzy optimization, and the Knapsack problem. The book’s content encompass the following key aspects: Presents a new model based on an unreliable server, wherein the convergence analysis is done using nature-inspired algorithms. Discusses the optimization techniques used in transportation problems, timetable problems, and optimal/dynamic pricing in inventory control. Highlights single and multi-objective optimization problems using pentagonal fuzzy number...
Algorithms are ubiquitous in the contemporary technological world, and they ultimately consist of finite sequences of instructions used to accomplish tasks with necessary input values. This book analyses the top performing algorithms in areas as diverse as Big Data, Artificial Intelligence, Optimization Techniques and Cloud & Cyber Security Systems in order to explore their power and limitations.