Additive manufacturing or 3D printing is the construction of an object using CAD models. The technology for additive manufacturing s gaining traction in recent times due to its accessibility for both personal and industrial use, as well as its usefulness in quick prototyping (either of a whole object or its components) and meeting the needs of small commercial workloads. Advances in Additive Manufacturing Processes informs readers about the breadth of 3D printing processes. Chapters cover the basic knowledge of additive techniques and their industrial applications with relevant examples. The improvements in each method and their recent technical achievements with practical experimental data are highlighted. The book presents eight types of 3D printing processes, covering a diverse range of technologies which represent the industry. The contents also cover selected topics of relevance to additive manufacturing which include the formation of defects and factors that affect the mechanical properties of the additively manufactured components. Chapters also provide recent guidelines for adapting additive manufacturing processes to increase productivity and reduce manufacturing cost. Advances in Additive Manufacturing Processes is a handy reference for scholars and professionals involved in manufacturing industries and process engineering as well as hobbyists who are interested in the current state-of-the-art in 3D printing.

This reference presents a collection of studies which highlight new developments in improving manufacturing processes and performance. The book includes 11 chapters which cover unique topics of interest to production engineers. These topics include the production of advanced composite materials and alloys to the use of sensors to evaluate production processes, product testing and evaluation (in production and storage environments), and the development and testing of an unmanned aerial vehicle. Chapters have been contributed by several scholars, who give a unique perspective on specific aspects of manufacturing and industrial production. The book also covers recent technologies such as additive manufacturing. Each chapter presents the study in an experimental manner highlighting the theory, methods, and results, where applicable. References for further reading are also provided. This book is intended to provide researchers and engineers with new data and cases for industrial manufacturing processes which may be applied in different industrial sectors.

In the modern era of manufacturing, unconventional machining methods are quite popular due to various advantages such as high accuracy, excellent surface finish, less tool wear, much quieter operations, among others. Moreover, new age and novel materials are sometimes hard to machine with traditional machining processes due to their high strength and brittleness. Advances in Nonconventional Machining Processes covers recent development in such methods. Chapters have been contributed by many authors and provide detailed information about machining processes (ultrasonic machining, thermally enhanced machining and electronic discharge machining, to name a few). Additional chapters that provide information about novel materials and their fabrication as well as innovations in machining methods (including the use of machine learning techniques) which have long been established on an industrial scale are also included in the book. Advances in Nonconventional Machining Processes is a reference work suitable for apprentices and academic scholars studying manufacturing. Industry professionals who wish to know about cutting-edge developments in machining techniques will also find this a useful handbook for their library.

This Global Emerging Innovation Summit (GEIS 2021) book summarizes the proceedings of the international summit held on April 9th and 10th, 2021. The meeting was organized by Lovely Professional University (LPU) and supported by ENEA - the National Agency for New Technologies, Energy and Sustainable Economic Development. GEIS-2021 is the most comprehensive conference focused on the diverse facets of the innovations in different technical domains. The goal of this conference is to bring together researchers from academia and industry as well as practitioners in allied fields to share their ideas and solutions related to issues and challenges that rely on the use of technology. The conference highlights the multifaceted nature of innovation in engineering and natural sciences. Attendees are given an opportunity to exchange new ideas to establish research relations to find global partners for future collaboration. Authors from academics, government agencies and industries, contributed several papers which truly make the conference a diverse and unique platform in the region for a productive and interdisciplinary dialogue. This volume features 59 contributions which were selected after review by the editors. Chapters cover emerging developments in a broad range sectors including aviation, transportation, pharmaceutical chemistry, medicine, life sciences, space science, electronics, security, artificial intelligence, communications, energy and much more. This compilation is a handy resource for readers who are seeking updates in the latest trends and innovative developments in technology and engineering.

This e-book is an essential review of land-based laser sensing methods, such as differential absorption, Raman scattering, laser-induced fluorescence, Doppler effect methods, laser-induced breakdown spectroscopy, and laser ultrasonics, and their respective application to specific industrial needs, such as natural gas leak detection, hydrogen gas leak detection, pollutant detection, wind profiling for windmill sites, minor constituent monitoring and concrete structure health monitoring. Readers will gain an updated overview of laser remote sensing techniques and their applications to the industrial environment.

Lean Management Solutions for Contemporary Manufacturing Operations: Applications in the automotive industry covers recent techniques aimed at improving manufacturing activities in automotive factories in the time of the fourth industrial revolution. The book informs the reader about some improvements in hard skills (such as technical concepts, new tools, processes, and applied designs), as well as soft skills (strategic planning and the psychology of motivating human resources in manufacturing setups). The book also presents insight for managers who are working with a niche of employees with disabilities with respect to the automotive industry. Topics in the book include: Application of Graph Theory in Workplace Design Applied Design Disability and the 4th Industrial Revolution People Development, Motivation & Results Low Cost Logistics Solutions Agile Methodologies in Manufacturing Projects This book is a concise, informative reference which updates the reader on recent strategies to maximize productivity in the auto manufacturing sector.

This eBook has been written in an easy style to understand the way to establish full clarity of the two subjects, dealt in the text books, Part "A" - Professional Practice and Ethics, and Part "B" - Engineering Law and Professional Liability. It eases the tough and complicated language used in the two textbooks. The simplicity of the language utilized to prepare the answers to the questions of the previous Professional Practice Examinations, paves a way to follow and understand these two subjects easily. The eBook can be considered as an essential prerequisite to the two textbooks assigned to the PPE candidates. The PPE candidates should consider this book as a useful tool in order to prepare themselves for the Examination.

Risk management is a process through which an organization methodically analyses risks inherent in all of its operational activities with the aim of minimizing damage to physical assets or occupational health hazards. Risk Management, therefore, should be a central element in the management strategy of any organization as it plays a crucial role in giving the organization a sustainable operational advantage. Safety Science: Methods to Prevent Incidents and Worker Health Damage at the Workplace is a handbook for management students and working professionals (safety professionals, human resource managers, insurance officers etc.) interested in the science of risk management and methods to implements safety standards at the workplace. The book introduces readers to the concept of occupational risk and occupational health management. It explains the concepts relevant to these topics such as safety economy valuation and asset integrity management. Assessment tools related to qualitative and quantitative risk management, incident and vulnerability analysis are also provided. Additionally, readers will find information on the human factors and methods to improve human engagement in risk management as well as information about current safety standards and systems in organizations around the world.

Soft robotics is a subfield of robotics that encompasses the design and fabrication of robots with soft and compliant materials. Soft robots represent components like human prosthetics or biomimicking systems. Soft robotics relies on technically astute designs based on the correct choice of materials to enable a level of dexterity not possible with rigid components alone. The basic prime movers (actuators) and perception (sensors) require control systems capable of accommodating imprecise feedback data and often unpredictable reaction times. Mobility in such robots is more akin to entomological or marine systems than conventional guided vehicles. This reference is a guide to materials and systems used in soft robotics. If features 6 chapters contributed by robotics experts that review fundamental and applied topics that are important for understanding the requirements of soft robotics design projects and the physics of the polymers involved. Chapters are organized for easy reading and include references. The topics include: - Aspects of materials processing and engineering for the development of soft robotic devices - A review on biological gripping principles and their application to robotics - Information about self-sensing electroadhesive polymer grippers with magnetically controllable surface geometry - Theoretical and experimental investigations of magnetic hybrid materials - Modeling and dynamic analysis of a novel rotary soft robotic arm by transfer matrix method - Design and control of a portable continuum robot for pipe inspection assisted by a rigid manipulator This book is a suitable reference for scholars and engineers who are seeking knowledge about materials and design principles in soft robotics with its practical applications.

A smart city uses technology to provide services and solve problems to improve urban policy efficiency, reduce waste, improve quality of life, and maximize social inclusion. By 2050, 66% of the world's population is expected to be urban, which is a key driver of a global trend toward the creation of smart cities. This trend creates many opportunities for urban planning committees to learn how to design, modernize, and operate smart cities intelligently and effectively. Facets of a Smart City: Computational and Experimental Techniques for Sustainable Urban Development is a collection of topics that are relevant to the design of a smart city. This book aims to complement technical journal articles that require advanced knowledge of the subject of smart cities and applications for readers. It aims to bridge knowledge gaps in sustainable urban design by providing background information via case studies to facilitate students, recent graduates and new practitioners in urban design and planning. Key Features: - This book features 9 chapters that cover 6 major domains, which include (i) information modelling, (ii) internet of things, (iii) intelligent transportation systems, (iv) water supply, (v) waste management and (vi) sustainable environment - Computational techniques are included in the book. These include artificial neural networks, stochastic models, particle swarm optimization, machine learning, and adaptive neuro-fuzzy Inference systems. - Goals of case studies presented in this book use computational techniques to offer readers examples of supervised, unsupervised and reinforcement learning strategies in the context of smart city applications - References are provided for further reading