Author: Tao Peng
Publisher:
ISBN:
Category : Machine-tools
Languages : en
Pages : 552
Get Book Here
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: 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: André Zein
Publisher: Springer Science & Business Media
ISBN: 3642322476
Category : Technology & Engineering
Languages : en
Pages : 170
Get Book Here
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: Mikel Armendia
Publisher: Springer
ISBN: 303002203X
Category : Technology & Engineering
Languages : en
Pages : 296
Get Book Here
Book Description
This open access book summarizes the results of the European research project “Twin-model based virtual manufacturing for machine tool-process simulation and control” (Twin-Control). The first part reviews the applications of ICTs in machine tools and manufacturing, from a scientific and industrial point of view, and introduces the Twin-Control approach, while Part 2 discusses the development of a digital twin of machine tools. The third part addresses the monitoring and data management infrastructure of machines and manufacturing processes and numerous applications of energy monitoring. Part 4 then highlights various features developed in the project by combining the developments covered in Parts 3 and 4 to control the manufacturing processes applying the so-called CPSs. Lastly, Part 5 presents a complete validation of Twin-Control features in two key industrial sectors: aerospace and automotive. The book offers a representative overview of the latest trends in the manufacturing industry, with a focus on machine tools.
Author: Yan Wang
Publisher: Springer Nature
ISBN: 981154462X
Category : Science
Languages : en
Pages : 291
Get Book Here
Book Description
This book provides energy efficiency quantitative analysis and optimal methods for discrete manufacturing systems from the perspective of global optimization. In order to analyze and optimize energy efficiency for discrete manufacturing systems, it uses real-time access to energy consumption information and models of the energy consumption, and constructs an energy efficiency quantitative index system. Based on the rough set and analytic hierarchy process, it also proposes a principal component quantitative analysis and a combined energy efficiency quantitative analysis. In turn, the book addresses the design and development of quantitative analysis systems. To save energy consumption on the basis of energy efficiency analysis, it presents several optimal control strategies, including one for single-machine equipment, an integrated approach based on RWA-MOPSO, and one for production energy efficiency based on a teaching and learning optimal algorithm. Given its scope, the book offers a valuable guide for students, teachers, engineers and researchers in the field of discrete manufacturing systems.
Author: NADINE. MADANCHI
Publisher:
ISBN: 9783030885076
Category :
Languages : en
Pages :
Get Book Here
Book Description
Author: Jan Beier
Publisher: Springer
ISBN: 3319466399
Category : Technology & Engineering
Languages : en
Pages : 249
Get Book Here
Book Description
This authored monograph provides in-depth analysis and methods for aligning electricity demand of manufacturing systems to VRE supply. The book broaches both long-term system changes and real-time manufacturing execution and control, and the author presents a concept with different options for improved energy flexibility including battery, compressed air and embodied energy storage. The reader will also find a detailed application procedure as well as an implementation into a simulation prototype software. The book concludes with two case studies. The target audience primarily comprises research experts in the field of green manufacturing systems.
Author: John W. Sutherland
Publisher: John Wiley & Sons
ISBN: 1118423844
Category : Technology & Engineering
Languages : en
Pages : 466
Get Book Here
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: Panagiotis Kyratsis
Publisher: Springer Nature
ISBN: 3030694720
Category : Technology & Engineering
Languages : en
Pages : 288
Get Book Here
Book Description
This book presents the latest advances in manufacturing from both the experimental and simulation point of view. It covers most aspects of manufacturing engineering, i.e. theoretical, analytical, computational and experimental studies. Experimental studies on manufacturing processes require funds, time and expensive facilities, while numerical simulations and mathematical models can improve the efficiency of using the research results. It also provides high level of prediction accuracy and the basis for novel research directions.
Author: Anna Burduk
Publisher: Springer Nature
ISBN: 3031442822
Category : Technology & Engineering
Languages : en
Pages : 808
Get Book Here
Book Description
This book reports on intelligent methods and solutions in engineering production and maintenance. It describes advanced tools for optimizing production processes, increasing their automation, safety and sustainability. Contributions cover different stages of the production process, such as product design, supply chain, and equipment maintenance and safety. This is one of the two volumes based on the 4th International Conference on Intelligent Systems in Production Engineering and Maintenance, ISPEM 2023, held on September 13-15, 2023, in Wroclaw, Poland.
