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Author: Nadine Madanchi
Publisher: Springer Nature
ISBN: 3030875407
Category : Technology & Engineering
Languages : en
Pages : 195
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Book Description
This book provides a concept to analyze and increase the energy and resource efficiency of machining systems. Machining systems are widely used to produce workpieces in large quantities and with complex geometrical shapes. These systems, however, are also relevant in terms of energy and resource consumption, which is strongly connected to the choice of cutting fluid strategy. Within the focus of the concept, cutting fluid connects the elements of the machining system and results in interactions between them. Based on this description and an extensive literature review, a modeling approach is developed that comprises the relations between process parameters, cutting fluid strategies, and relevant machining system elements. The performance of the machining system is assessed with regard to environmental, economic as well as technological indicators and improved by various organizational and technical measures. The exemplary application of the developed concept is carried out in the context of two case studies and also indicates the corresponding effects of improvement measures.
Author: Nadine Madanchi
Publisher: Springer Nature
ISBN: 3030875407
Category : Technology & Engineering
Languages : en
Pages : 195
Get Book Here
Book Description
This book provides a concept to analyze and increase the energy and resource efficiency of machining systems. Machining systems are widely used to produce workpieces in large quantities and with complex geometrical shapes. These systems, however, are also relevant in terms of energy and resource consumption, which is strongly connected to the choice of cutting fluid strategy. Within the focus of the concept, cutting fluid connects the elements of the machining system and results in interactions between them. Based on this description and an extensive literature review, a modeling approach is developed that comprises the relations between process parameters, cutting fluid strategies, and relevant machining system elements. The performance of the machining system is assessed with regard to environmental, economic as well as technological indicators and improved by various organizational and technical measures. The exemplary application of the developed concept is carried out in the context of two case studies and also indicates the corresponding effects of improvement measures.
Author: Tao Peng
Publisher:
ISBN:
Category : Machine-tools
Languages : en
Pages : 552
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Book Description
Manufacturing, being the backbone of an industrialised country' economy, is facing many challenges through resource shortages, environmental deterioration, and everintensifying global competition. With the widespread adoption of Computer Numerical Control (CNC) machine tools, the machining industry has been revolutionised by soaring productivity, excellent quality and unbeatable prices. However, from a sustainability perspective, this has placed heavy burdens on the eco-system. The need for energy consumption efficiency has thus been widely recognised. The energy required by this industry will continuously increase with the advancement of CNC machine tools. Therefore, sizeable efforts from both industry and academics are being made to improve this situation. The work presented in this study deals with improving energy-efficient machining systems by providing an open, interoperable and holistic solution built upon a comprehensive framework of Global Energy-efficient Machining Systems (GEMS), a novel energy consumption modelling approach, and integrated energy data models. Four activity modules in the framework, namely, energy monitoring, analysis, energy-based optimal control and databases, were designed. Three key issues in creating GEMS have been identified and carefully studied in this research. Firstly, the model-based characteristics of GEMS give rise to an accurate, comprehensive, yet practical energy consumption model. The energy model developed here attempts to combine specific theoretical and/or empirical models of individual components with state-based models of systematic behaviour. The resulting hybrid energy model has proved feasible and effective in modelling two different machining systems. Subsequently, the function block technique was introduced to model energy consumption for the first time, and facilitate model implementation. This supports the idea of creating a shared pool of modular energy models for maximum reusability, fast construction and flexibility, so that the machine/process-specific characteristics of energy consumption behaviour can be addressed. Secondly, to facilitate communication and collaboration between different activities, tighter integration of energy data with machining systems is a prerequisite. This energy data integration envisages a standardised, unambiguous data representation, exchange and maintenance mechanism, which can support various energy-efficient activities. The dated but still dominant CNC part programming G-code fails to meet such requirements. Hence, energy data models have been developed in compliance with STEP/STEP-NC standards, providing an enhanced ability to describe product information through an entire life cycle. In this research, four groups of energy data model were proposed to define data structure and holders for automated monitoring, energy modelling, online optimisation and energy data archiving. Useful information for potentially improving energy performance is thereby captured and preserved. Thirdly, to implement the aforementioned hybrid energy model and data models, two systems were investigated, namely, a unified energy analysis system - iGEMS, and a mobile application - GEMS-IIMS. Utilising the latest IT and computing technology, a Cloud-based architecture was adopted. It aims to provide a service-oriented and practicable energy-efficient machining system, with the intention of improving industrial practices. Easily accessible energy monitoring, prescribed energy analysis and online energy optimisation, and a comprehensive energy data repository have been provided to meet user requirements. An energy analysis and machine tool energy database were created to demonstrate that the energy consumption of a machining system can be effectively analysed based on high-level production data. Furthermore, it was noticed during this research that having an energy evaluation system helps users to understand energy consumption data, and guides them in improving energy efficiency. Hence, an energy rating schema, taking information at different levels of detail into account, is proposed. The schema avoids pointless comparison between different types of machine tools, but concentrates on improving actual operations. All in all, the importance and necessity of this research lies in the fact that it views energy-efficient machining systems as a whole, which paves the way to reducing overall energy consumption and the corresponding environmental impact in the future.
Author: Şenol Bayraktar
Publisher: CRC Press
ISBN: 1040128580
Category : Technology & Engineering
Languages : en
Pages : 245
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Book Description
This book provides essential information on environmentally benign/sustainable machining processes including innovations and developments in conventional machining, considering economy, safety, and productivity. Developments in machine tools, recent research on green lubricants and lubrication techniques, process hybridization, and the role of optimization techniques are discussed. Green machining of difficult-to-machine materials and composites is also explained with attempts towards making electric discharge and electrochemical machining technologies. Features: Covers up to date and latest information on environmentally benign machining technologies. Includes current approaches regarding the machinability properties of biomaterials, smart materials, and difficult-to-cut materials. Reviews theoretical understanding and practical aspects of using different technological approaches to attain sustainability in machining. Includes sustainability aspects for both conventional and modern machining. Aids industrial users in the optimum selection of machining parameters with regard to sustainability. This book is aimed at researchers and professionals in manufacturing and mechanical engineering, and sustainable processes.
Author: Jingshan Li
Publisher: Momentum Press
ISBN: 1606509063
Category : Technology & Engineering
Languages : en
Pages : 210
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Book Description
Sustainable production automation, as an effective way to enable and expedite transitions to sustainability and enhance resource utilizations, attracts substantial efforts from researchers in both academy and industry. This book presents the recent development of innovative algorithms, models, heuristics, hardware and software in broad areas of sustainable production systems. It focuses on design, analysis and management of the processes involved in the product life cycle (from design to delivery to return) to have the minimal negative impacts on society (including environmental, economic and social). The contributors are experts from both universities and industrial research centers.
Author: David A. Dornfeld
Publisher: Springer Science & Business Media
ISBN: 3642290698
Category : Technology & Engineering
Languages : en
Pages : 620
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Book Description
The 19th CIRP Conference on Life Cycle Engineering continues a strong tradition of scientific meetings in the areas of sustainability and engineering within the community of the International Academy for Production Engineering (CIRP). The focus of the conference is to review and discuss the current developments, technology improvements, and future research directions that will allow engineers to help create green businesses and industries that are both socially responsible and economically successful. The symposium covers a variety of relevant topics within life cycle engineering including Businesses and Organizations, Case Studies, End of Life Management, Life Cycle Design, Machine Tool Technologies for Sustainability, Manufacturing Processes, Manufacturing Systems, Methods and Tools for Sustainability, Social Sustainability, and Supply Chain Management.
Author: Bernard Grabot
Publisher: Springer
ISBN: 3662447363
Category : Computers
Languages : en
Pages : 732
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Book Description
The three volumes IFIP AICT 438, 439, and 440 constitute the refereed proceedings of the International IFIP WG 5.7 Conference on Advances in Production Management Systems, APMS 2014, held in Ajaccio, France, in September 2014. The 233 revised full papers were carefully reviewed and selected from 271 submissions. They are organized in 6 parts: knowledge discovery and sharing; knowledge-based planning and scheduling; knowledge-based sustainability; knowledge-based services; knowledge-based performance improvement, and case studies.
Author: Fa-Long Luo
Publisher: John Wiley & Sons
ISBN: 1119562252
Category : Technology & Engineering
Languages : en
Pages : 490
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Book Description
A comprehensive review to the theory, application and research of machine learning for future wireless communications In one single volume, Machine Learning for Future Wireless Communications provides a comprehensive and highly accessible treatment to the theory, applications and current research developments to the technology aspects related to machine learning for wireless communications and networks. The technology development of machine learning for wireless communications has grown explosively and is one of the biggest trends in related academic, research and industry communities. Deep neural networks-based machine learning technology is a promising tool to attack the big challenge in wireless communications and networks imposed by the increasing demands in terms of capacity, coverage, latency, efficiency flexibility, compatibility, quality of experience and silicon convergence. The author – a noted expert on the topic – covers a wide range of topics including system architecture and optimization, physical-layer and cross-layer processing, air interface and protocol design, beamforming and antenna configuration, network coding and slicing, cell acquisition and handover, scheduling and rate adaption, radio access control, smart proactive caching and adaptive resource allocations. Uniquely organized into three categories: Spectrum Intelligence, Transmission Intelligence and Network Intelligence, this important resource: Offers a comprehensive review of the theory, applications and current developments of machine learning for wireless communications and networks Covers a range of topics from architecture and optimization to adaptive resource allocations Reviews state-of-the-art machine learning based solutions for network coverage Includes an overview of the applications of machine learning algorithms in future wireless networks Explores flexible backhaul and front-haul, cross-layer optimization and coding, full-duplex radio, digital front-end (DFE) and radio-frequency (RF) processing Written for professional engineers, researchers, scientists, manufacturers, network operators, software developers and graduate students, Machine Learning for Future Wireless Communications presents in 21 chapters a comprehensive review of the topic authored by an expert in the field.
Author: André Zein
Publisher: Springer Science & Business Media
ISBN: 3642322476
Category : Technology & Engineering
Languages : en
Pages : 170
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Book Description
Energy efficiency represents a cost-effective and immediate strategy of a sustainable development. Due to substantial environmental and economic implications, a strong emphasis is put on the electrical energy requirements of machine tools for metalworking processes. The improvement of energy efficiency is however confronted with diverse barriers, which sustain an energy efficiency gap of unexploited potential. The deficiencies lie in the lack of information about the actual energy requirements of machine tools, a minimum energy reference to quantify improvement potential and the possible actions to improve the energy demand. Therefore, a comprehensive concept for energy performance management of machine tools is developed which guides the transition towards energy efficient machine tools. It is structured in four innovative concept modules, which are embedded into step-by-step workflow models. The capability of the performance management concept is demonstrated in an automotive manufacturing environment. The target audience primarily comprises researchers and practitioners challenged to enhance energy efficiency in manufacturing. The book may also be beneficial for graduate students who want to specialize in this field.
Author: John W. Sutherland
Publisher: John Wiley & Sons
ISBN: 1118423844
Category : Technology & Engineering
Languages : en
Pages : 466
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Book Description
Over the last several years, manufacturers have expressed increasing interest in reducing their energy consumption and have begun to search for opportunities to reduce their energy usage. In this book, the authors explore a variety of opportunities to reduce the energy footprint of manufacturing. These opportunities cover the entire spatial scale of the manufacturing enterprise: from unit process-oriented approaches to enterprise-level strategies. Each chapter examines some aspect of this spatial scale, and discusses and describes the opportunities that exist at that level. Case studies demonstrate how the opportunity may be acted on with practical guidance on how to respond to these opportunities.
Author: Jörg Franke
Publisher: Trans Tech Publications Ltd
ISBN: 3035730571
Category : Technology & Engineering
Languages : en
Pages : 266
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Book Description
The Green Factories in Bavaria bundle up the research skills of all relevant fields for energy efficient production, e.g. Mechanical Engineering, Processing Technologies, Electrical Engineering, Information Technology, Process Engineering, Materials Science and Economic Science. They also consider all major types of energy, e.g. for motion, illumination, information processing, manufacturing processes and thermal control. Furthermore, Green Factories address the use of energy in production, logistics and administration. With clear focus on energy efficiency in the production and Bavarian-wide, interdisciplinary collaboration, these Green Factories have to be expanded into an international research network. We hope that presented articles from 3rd Green Factory Bavaria Colloquium 2016 will be useful for many researchers and engineers for the development and operation of modern energy-efficient productions.
