Manufacturing Technology, Volume 1 provides a comprehensive introduction to the principles and practice of engineering manufacturing processes. This third edition has been written, updated and expanded to reflect the current requirements of the Advanced GNVQ Engineering syllabus as well as BTEC NC/D engineering specifications. As such it also forms an ideal introduction to the subject for first-year degree courses in engineering. Topics covered include: alteration of shape, tooling, toolholding and workholding, kinematics of manufacturing equipment, computer numerical control (CNC), assembly, fabrication (including plastics), heat treatment, finishing, quality control, manufacturing relationships, and health and safety at work. This book leads the reader naturally onto the companion volume Manufacturing Technology, Volume 2, intended for those studying engineering manufacture at a more advanced level such as HNC/D and first/second-year engineering degree courses. The broad and in-depth coverage of this two-volume approach ensures that these texts not only satisfy the requirements of technician students up to the highest level but also provide an excellent technical background for undergraduates studying for a degree in mechanical engineering, manufacturing engineering and combined engineering.

This book introduces social manufacturing, the next generation manufacturing paradigm that covers product life cycle activities that deal with Internet-based organizational and interactive mechanisms under the context of socio-technical systems in the fields of industrial and production engineering. Like its subject, the book's approach is multi-disciplinary, including manufacturing systems, operations management, computational social sciences and information systems applications. It reports on the latest research findings regarding the social manufacturing paradigm, the architecture, configuration and execution of social manufacturing systems and more. Further, it describes the individual technologies enabled by social manufacturing for each topic, supported by case studies. The technologies discussed include manufacturing resource minimalization and their socialized reorganizations, blockchain models in cybersecurity, computing and decision-making, social business relationships and organizational networks, open product design, social sensors and extended cyber-physical systems, and social factory and inter-connections. This book helps engineers and managers in industry to practice social manufacturing, as well as offering a systematic reference resource for researchers in manufacturing. Students also benefit from the detailed discussions of the latest research and technologies that will have been put into practice by the time they graduate.

The manufacturing industry has experienced dramatic change over the years with growing advancements, implementations, and applications in technology. Manufacturing Intelligence for Industrial Engineering: Methods for System Self-Organization, Learning, and Adaptation focuses on the latest innovations for developing, describing, integrating, sharing, and processing intelligent activities in the process of manufacturing in engineering. Containing research from leading international experts, this publication provides readers with scientific foundations, theories, and key technologies of manufacturing intelligence.

Featuring selected contributions from the 2nd International Conference on Mechatronics and Robotics Engineering, held in Nice, France, February 18-19, 2016, this book introduces recent advances and state-of-the-art technologies in the field of advanced intelligent manufacturing. This systematic and carefully detailed collection provides a valuable reference source for mechanical engineering researchers who want to learn about the latest developments in advanced manufacturing and automation, readers from industry seeking potential solutions for their own applications, and those involved in the robotics and mechatronics industry.

The proceedings brings together a selection of papers from the 7th International Workshop of Advanced Manufacturing and Automation (IWAMA 2017), held in Changshu Institute of Technology, Changshu, China on September 11-12, 2017. Most of the topics are focusing on novel techniques for manufacturing and automation in Industry 4.0. These contributions are vital for maintaining and improving economic development and quality of life. The proceeding will assist academic researchers and industrial engineers to implement the concepts and theories of Industry 4.0 in industrial practice, in order to effectively respond to the challenges posed by the 4th industrial revolution and smart factories.

Artificial Intelligence (AI) is playing an increasing role in production and manufacturing engineering. Since a great deal of manufacturing knowledge can be put in the form of rules, expert systems have emerged as a promising practical tool of AI for solving engineering problems. Expert systems allow knowledge to be used for constructing human-machine systems that have specialized methods and techniques for solving problems in practical application areas. This book contains the structure and rules for 15 expert systems dealing with various aspects of production and manufacturing engineering. Topics covered range from casting design evaluation through to quality control. All expert systems included are accompanied by description of their structure and the rules are included on floppy disc in ASCII that can be readily accessed. These expert systems are generic in nature and readers should find it possible to modify these expert systems for their own specific applications.

This book develops the core system science needed to enable the development of a complex industrial internet of things/manufacturing cyber-physical systems (IIoT/M-CPS). Gathering contributions from leading experts in the field with years of experience in advancing manufacturing, it fosters a research community committed to advancing research and education in IIoT/M-CPS and to translating applicable science and technology into engineering practice. Presenting the current state of IIoT and the concept of cybermanufacturing, this book is at the nexus of research advances from the engineering and computer and information science domains. Readers will acquire the core system science needed to transform to cybermanufacturing that spans the full spectrum from ideation to physical realization.

BASYS conferences were initially organized to promote the development of balanced automation systems. The first BASYS conference was successfully launched in Victoria, Brazil, in 1995. BASYS'06 is the 7th edition in this series. This book comprises three invited keynote papers and forty-nine regular papers accepted for presentation at the conference. All together, these papers will make significant contributions to the literature of Intelligent Technology for Balanced Manufacturing Systems.

This book contains the latest research on intelligent holonic execution. It presents a conceptual model for Holonic Manufacturing Execution that draws together research threads from both holonics and multi-agent systems. The book presents the model by mapping it onto two current BDI programming frameworks, and uses this for two separate implementations of an execution system for an industrial strength robotic assembly cell. This work also introduces the Team Programming paradigm.

This book constitutes the refereed proceedings of the 6th IFIP WG 5.5 International Precision Assembly Seminar, IPAS 2012, held in Chamonix, France, in February 2012. The 15 revised full papers were carefully reviewed and selected from numerous submissions. The papers are organized into the following topical sections: micro processes and systems; handling and manipulation in assembly; tolerance management and error compensation methods; metrology and quality control; intelligent control of assembly systems; and process selection and modelling techniques.

The manufacturing industry will reap significant benefits from encouraging the development of digital manufacturing science and technology. Digital Manufacturing Science uses theorems, illustrations and tables to introduce the definition, theory architecture, main content, and key technologies of digital manufacturing science. Readers will be able to develop an in-depth understanding of the emergence and the development, the theoretical background, and the techniques and methods of digital manufacturing science. Furthermore, they will also be able to use the basic theories and key technologies described in Digital Manufacturing Science to solve practical engineering problems in modern manufacturing processes. Digital Manufacturing Science is aimed at advanced undergraduate and postgraduate students, academic researchers and researchers in the manufacturing industry. It allows readers to integrate the theories and technologies described with their own research works, and to propose new ideas and new methods to improve the theory and application of digital manufacturing science.

The direct generation of physical objects based on three dimensional computer aided design (3D-CAD) data is currently a manufacturing process of major importance. The dynamic development in this new high tech area is characterized by the different kinds of equipment commercially available at present, as well as the many new procedures that have been patented or are under development.
This book provides a major contribution to progress in industrial applications through its in-depth descriptions of the new technological methodologies and their implications in the planning and shaping of design.
All the essential commercially available systems are discussed in detail, and some important systems currently in development are also reviewed. Starting with the necessary 3D-Geometrical Modelling the general tasks for process realization are explained.
Further essential main points covered in the volume are:
Characteristics of the most suitable areas of application in the manufacturing industry.
Systematic approaches for decision-making for the most suitable equipment and usages (whether to invest or job out).
Methodical support for proper utilization of selected equipment.
Efficient combination with current manufacturing technologies.
Technological and economical aspects for evaluation and comparison of other traditional procedures.
The book will be of particular interest to workers and researchers in the fields of manufacturing (especially tool making), engineering, marketing, and CAD/CAM; CIM. The book is also suitable for students of engineering, management and economic disciplines.

Based on the results of the study carried out in 1996 to investigate the state of the art of workflow and process technology, MCC initiated the Collaboration Management Infrastructure (CMI) research project to develop innovative agent-based process technology that can support the process requirements of dynamically changing organizations and the requirements of nomadic computing. With a research focus on the flow of interaction among people and software agents representing people, the project deliverables will include a scalable, heterogeneous, ubiquitous and nomadic infrastructure for business processes. The resulting technology is being tested in applications that stress an intensive mobile collaboration among people as part of large, evolving business processes. Workflow and Process Automation: Concepts and Technology provides an overview of the problems and issues related to process and workflow technology, and in particular to definition and analysis of processes and workflows, and execution of their instances. The need for a transactional workflow model is discussed and a spectrum of related transaction models is covered in detail. A plethora of influential projects in workflow and process automation is summarized. The projects are drawn from both academia and industry. The monograph also provides a short overview of the most popular workflow management products, and the state of the workflow industry in general. Workflow and Process Automation: Concepts and Technology offers a road map through the shortcomings of existing solutions of process improvement by people with daily first-hand experience, and is suitable as a secondary text for graduate-level courses on workflow and process automation, and as a reference for practitioners in industry.

Applications of Soft Computing have recently increased and methodological development has been strong. The book is a collection of new interesting industrial applications introduced by several research groups and industrial partners. It describes the principles and results of industrial applications of Soft Computing methods and introduces new possibilities to gain technical and economic benefits by using this methodology. The book shows how fuzzy logic and neural networks have been used in the Finnish paper and metallurgical industries putting emphasis on processes, applications and technical and economic results.

Owing to the development and rapid spread of communication technologies including the Internet, the world is indeed turning into a global village. The rate of introduction of new products and technologies is steadily rising. At the same time, pressures to reduce time-to-market are mounting. Only companies that are able to realize products rapidly are able to survive today.
From a technological viewpoint, rapid product realization involves rapid design, rapid prototyping, and rapid tooling. Fortunately, a class of technologies, also collectively called rapid prototyping (RP) technologies, has emerged in the last two decades or so to meet these requirements. Early technologies merely aimed to produce single part look-alikes. However, intense R&D efforts are taking place around the world to go beyond mere look alike' single part prototyping, into functional, multi-part assemblies.
RP technologies are different from other modern manufacturing technologies in many ways. In RP, material is usually added incrementally in a layered manner and, occasionally, subtracted. Some technologies depend upon layers of resin cured under the influence of one or more CNC controlled laser beams. Others use lasers to selectively sinter layers of powdered metal. There are also RP technologies that do not use lasers at all. Indeed, RP is turning out to be a potent arena for technological creativity.
This book provides an updated overview of RP technologies at a level of detail that university engineering students taking courses on RP as well R&D and operating professionals from industry interested in RP are likely to find attractive. While the emphasis is on laser-based technologies, other processesare also discussed. With respect to each important RP process, the part/assembly modeling techniques, the materials used, process itself, advantages and disadvantages, accuracy and finish issues as well as application potential are discussed.

Model-based fault detection and isolation requires a mathematical model of the system behaviour. Modelling is important and can be difficult because of the complexity of the monitored system and its control architecture. The authors use bond-graph modelling, a unified multi-energy domain modelling method, to build dynamic models of process engineering systems by composing hierarchically arranged sub-models of various commonly encountered process engineering devices. The structural and causal properties of bond-graph models are exploited for supervisory systems design.

The structural properties of a system, necessary for process control, are elegantly derived from bond-graph models by following the simple algorithms presented here. Additionally, structural analysis of the model augmented with available instrumentation indicates directly whether it is possible to detect and/or isolate faults in some specific sub-space of the process. Such analysis aids in the design and resource optimization of new supervision platforms.

Static and dynamic constraints, which link the time evolution of the known variables under normal operation, are evaluated in real time to determine faults in the system. Various decision or post-processing steps integral to the supervisory environment are discussed in this monograph; they are required to extract meaningful data from process state knowledge because of unavoidable process uncertainties. Process state knowledge has been further used to take active and passive fault accommodation measures.

Several applications to academic and small-scale-industrial processes are interwoven throughout. Finally, an application concerning development of asupervision platform for an industrial plant is presented with experimental validation.

Model-based Process Supervision provides control engineers and workers in industrial and academic research establishments interested in process engineering with a means to build up a practical and functional supervisory control environment and to use sophisticated models to get the best use out of their process data.

In recent years the situation of production enterprises has been aggravated by the change from a vendors' market to a buyers' market, the globaHsation of competition, a severe market segmentation and rapid progress in product and process technologies. Beside cost and quality, time has taken on an increasingly important role, forcing enterprises to become ever more dynamic and versatile. Therefore, in all areas of production management, novel, effective concepts, procedures and tools have been developed in order to meet these new requirements. But beyond these more technical, organisational and information technology related aspects there is certainly another one which has to be considered more closely than ever before, namely that of human resources. Is not group technology also related to group work? Do partners in a global network only operate according to predefined process schemes with no personal contact? Are the mental process models of the programmers of ERP-systems the same as those of the users? What is the impact of human behaviour and what consequences are to be expected if organisational and individual objectives are separated? And finally, how do necessary technological changes affect the workforce and the individual needs and wishes of the employees.

Low-volume high-variety products like personalized cars or customized engines will be the key issues for manufacturing in the 21st century. The necessary control technology is based on the concept of holons, which are the units of production and behave as autonomous and cooperative agents, providing flexibility, adaptability, agility, and dynamic reconfigurability. This book presents the latest research results in agent-based manufacturing as carried out by researchers in academia and industry within the international "Holonic Manufacturing Systems" project. As this project was driven by industry, the results presented here are of vital interest not just to researchers in agent technologies or distributed artificial intelligence, but also to engineers and professionals in industry who have to respond to rapid changes and new demands in production.

The focus of this ninth volume is on human/technology issues that arise from the design, development, application, operation, evaluation, and maintenance of advanced systems with regard to training in complex environments. Areas covered include: a user-oriented design analysis of a virtual environment training system, a cognitive task analysis technique for virtual environment training, advanced embedded team training, human centered automation for air traffic control, human performance modelling in system design, and scenario-based training.

Computer Aided Innovation (CAI) is a young domain, the goal of which is to support enterprises throughout the complete innovation process. This comprehensive book presents the most up-to-date research on CAI. It addresses the main motivations of the industrial sector regarding the engineering innovation activity with computer tools and methods. The book also discusses organizational, technological and cognitive aspects of the application of CAI methods and tools.

This book deals with Web applications in product design and manufacture, thus filling an information gap in digital manufacturing in the Internet era. It helps both developers and users to appreciate the potentials, as well as difficulties, in developing and adopting Web applications. The objective is to equip potential users and practitioners of Web applications with a better appreciation of the technology. In addition, Web application developers and new researchers in this field will gain a clearer understanding of the selection of system architecture and design, development and implementation techniques, and deployment strategies. The book is divided into two main parts. The first part gives an overview of Web and Internet and the second explains eight typical Web applications.

In todaya (TM)s competitive world, industries are focusing on shorter lead times, improved quality, reduced cost, increased profit, improved productivity and better customer service. As ERP and other information management systems have been widely implemented, information growth poses new challenges to decision makers in areas ranging from shop floor control to supply chain management and design.

Frontiers in Computing Technologies for Manufacturing Applications presents an overview of the state-of-the-art intelligent computing in manufacturing. Modelling, data processing, algorithms and computational analysis of difficult problems found in advanced manufacturing are discussed. It is the first book to bring together combinatorial optimization, information systems and fault diagnosis and monitoring in a consistent manner. Techniques are presented in order to aid decision makers needing to consider multiple, conflicting objectives in their decision processes. In particular, the use of metaheuristic optimization techniques for multi-objective problems is discussed. Readers will learn about computational technologies that can improve the performance of manufacturing systems ranging from manufacturing equipment to supply chains.

Frontiers in Computing Technologies for Manufacturing Applications will be of interest to students in industrial and mechanical engineering as well as information engineers needing practical examples for the successful integration of information in manufacturing applications. The book will also appeal to technical decision makers involved in production planning, logistics, supply chain, industrial ecology, manufacturing information systems, faultdiagnosis and monitoring.