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With the rapid development of Computer Integrated Manufacturing (CIM), Computer Aided Process Planning (CAPP) is becoming incresingly important since it plays a key role in CIM. This book systematically discusses process planning and how to implement computerized process planning systems. In essence, the aim of the book is to provide a comprehensive review of CAPP from a manufacturing engineering perspective. Strong emphasis is placed on the understanding of the fundamental principles allied with the implementation of CAPP systems. The book also provides state-of-the-art knowledge on all aspects of computerized manufacturing process planning technologies. Criteria on how to evaluate CAPP systems are also included. The book can be used as a graduate text for courses on Manufacturing Process Planning and Advanced Manufacturing Engineering. It is also eminently suitable as a reference book for guiding research activities in the area of developing CAPP systems and production integration. Production managers and manufacturing engineers will also find the book useful to update their knowledge.
Process Planning covers the selection of processes, equipment, tooling and the sequencing of operations required to transform a chosen raw material into a finished product. Initial chapters review materials and processes for manufacturing and are followed by chapters detailing the core activities involved in process planning, from drawing interpretation to preparing the final process plan. The concept of maximising or 'adding value' runs throughout the book and is supported with activities.Designed as a teaching and learning resource, each chapter begins with learning objectives, explores the theory behind process planning, and sets it in a 'real-life' context through the use of case studies and examples. Furthermore, the questions in the book develop the problem-solving skills of the reader.ISO standards are used throughout the book (these are cross-referenced to corresponding British standards).This is a core textbook, aimed at undergraduate students of manufacturing engineering, mechanical engineering with manufacturing options and materials science. - Features numerous case studies and examples from industry to help provide an easy guide to a complex subject - Fills a gap in the market for which there are currently no suitable texts - Learning aims and objectives are provided at the beginning of each chapter - a user-friendly method to consolidate learning
Fixtures--the component or assembly that holds a part undergoing machining--must be designed to fit the shape of that part and the type of machining being done. This book discusses the fundamentals of Computer-Aided Fixture Design (CAFD) techniques and covers fixture planning, fixture design (both modular and dedicated fixtures), fixture design verifications, and the overall integration with CAD/CAM. The book shows how CAFD may lead to a significant reduction of product and process development time and production cost, and how CAFD can increase quality assurance through simulation and science-based technical specification and cost estimation in business quoting, especially in current supplier-based manufacturing. It also provides case study examples. - This book provides a total solution of CAFD, including planning, design, and design verification - Practical and comprehensive theoretical analysis of fixturing from real industrial application projects - Introduces the integration of fixture design and analysis with CAD/CAM so that detailed geometric information can be processed and complex fixture designs can be designed and analyzed
Written in a clear and concise manner this book provides a theoretical and application oriented analysis of deterministic scheduling problems arising in computer and manufacturing environments. Various scheduling problems are discussed where different problem parameters such as task processing times, urgency weights, arrival times, deadlines, precedence constraints, and processor speed factor are involved. Polynomial and exponential time optimization algorithms as well as approximation and heuristic approaches are presented and discussed. Moreover, resource-constrained, imprecise computation, flexible flow shop and dynamic job shop scheduling, as well as flexible manufacturing systems, are considered. An excellent analysis based on real-world applications with plenty of examples.
Modem manufacturing systems involve many processes and operations that can be monitored and controlled at several levels of intelligence. At the highest level there is a computer that supervises the various manufacturing functions, whereas at the lowest level there are stand alone computer controlled systems of manufacturing processes and robotic cells. Until recenty computer-aided manufacturing systems constituted isolated "islands" of automation, each oriented to a particular application, but present day systems offer integrated approaches to manufacturing and enterprise operations. These modem systems, known as computer-integrated manufacturing (CIM) systems, can easily meet the current performance and manufacturing competitiveness requirements under strong environmental changes. CIM systems are much of a challenge, and imply a systemic approach to the design and operation of a manufacturing enterprise. Actualy, a CIM system must take into account in a unified way the following three views : the user view, the technology view, and the enterprise view. This means that CIM includes both the engineering and enterprise planning and control activities, as well as the information flow activities across all the stages of the system.
The second edition of this standard-setting handbook provides and all-encompassing reference for the practicing engineer in industry, government, and academia, with relevant background and up-to-date information on the most important topics of modern mechanical engineering. These topics include modern manufacturing and design, robotics, computer engineering, environmental engineering, economics, patent law, and communication/information systems. The final chapter and appendix provide information regarding physical properties and mathematical and computational methods. New topics include nanotechnology, MEMS, electronic packaging, global climate change, electric and hybrid vehicles, and bioengineering.
Over the last fifty-plus years, the increased complexity and speed of integrated circuits have radically changed our world. Today, semiconductor manufacturing is perhaps the most important segment of the global manufacturing sector. As the semiconductor industry has become more competitive, improving planning and control has become a key factor for business success. This book is devoted to production planning and control problems in semiconductor wafer fabrication facilities. It is the first book that takes a comprehensive look at the role of modeling, analysis, and related information systems for such manufacturing systems. The book provides an operations research- and computer science-based introduction into this important field of semiconductor manufacturing-related research.
This six-volume set presents cutting-edge advances and applications of expert systems. Because expert systems combine the expertise of engineers, computer scientists, and computer programmers, each group will benefit from buying this important reference work. An "expert system" is a knowledge-based computer system that emulates the decision-making ability of a human expert. The primary role of the expert system is to perform appropriate functions under the close supervision of the human, whose work is supported by that expert system. In the reverse, this same expert system can monitor and double check the human in the performance of a task. Human-computer interaction in our highly complex world requires the development of a wide array of expert systems. Expert systems techniques and applications are presented for a diverse array of topics including Experimental design and decision support The integration of machine learning with knowledge acquisition for the design of expert systems Process planning in design and manufacturing systems and process control applications Knowledge discovery in large-scale knowledge bases Robotic systems Geograhphic information systems Image analysis, recognition and interpretation Cellular automata methods for pattern recognition Real-time fault tolerant control systems CAD-based vision systems in pattern matching processes Financial systems Agricultural applications Medical diagnosis