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  • © 2019

Twin-Control

A Digital Twin Approach to Improve Machine Tools Lifecycle

  • Reviews advances in the application of information and communication technology (ICT) in machine tools and manufacturing, published with open access
  • Describes the experimental application of new technologies and includes case studies from industry
  • Signposts future developments in manufacturing technology and machine tools

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Table of contents (16 chapters)

  1. Front Matter

    Pages i-xvi
  2. Introduction

    1. Front Matter

      Pages 1-1
    2. Machine Tool: From the Digital Twin to the Cyber-Physical Systems

      • Mikel Armendia, Aitor Alzaga, Flavien Peysson, Tobias Fuertjes, Frédéric Cugnon, Erdem Ozturk et al.
      Pages 3-21Open Access
    3. Twin-Control Approach

      • Mikel Armendia, Aitor Alzaga, Flavien Peysson, Dirk Euhus
      Pages 23-38Open Access
  3. Virtual Representation of the Machine Tool and Machining Processes

    1. Front Matter

      Pages 39-39
    2. Virtualization of Machine Tools

      • Frédéric Cugnon, Mani Ghassempouri, Patxi Etxeberria
      Pages 41-55Open Access
    3. Modelling of Machining Processes

      • Luke Berglind, Erdem Ozturk
      Pages 57-93Open Access
    4. Towards Energy-Efficient Machine Tools Through the Development of the Twin-Control Energy Efficiency Module

      • Dominik Flum, Johannes Sossenheimer, Christian Stück, Eberhard Abele
      Pages 95-110Open Access
    5. New Approach for Bearing Life Cycle Estimation and Control

      • Eneko Olabarrieta, Egoitz Konde, Enrique Guruceta, Mikel Armendia
      Pages 111-121Open Access
  4. Real Representation of the Machine Tool and Machining Processes

    1. Front Matter

      Pages 123-123
    2. Data Monitoring and Management for Machine Tools

      • Tobias Fuertjes, Christophe Mozzati, Flavien Peysson, Aitor Alzaga, Mikel Armendia
      Pages 125-136Open Access
    3. Behaviours Indicators of Machine Tools

      • Flavien Peysson, David Leon, Quentin Lafuste, Mikel Armendia, Unai Mutilba, Enrique Guruceta et al.
      Pages 137-154Open Access
    4. Non-intrusive Load Monitoring on Component Level of a Machine Tool Using a Kalman Filter-Based Disaggregation Approach

      • Johannes Sossenheimer, Thomas Weber, Dominik Flum, Niklas Panten, Eberhard Abele, Tobias Fuertjes
      Pages 155-165Open Access
    5. Utilizing PLC Data for Workpiece Flaw Detection in Machine Tools

      • Johannes Sossenheimer, Christoph J. H. Bauerdick, Mark Helfert, Lars Petruschke, Eberhard Abele
      Pages 167-179Open Access
  5. Integration of the Twin Concept

    1. Front Matter

      Pages 181-181
    2. Simulation of Machining Operations Based on the VMT Concept

      • Frédéric Cugnon, Jean-Pierre Delsemme
      Pages 183-196Open Access
    3. Cyber-Physical System to Improve Machining Process Performance

      • Mikel Armendia, Tobias Fuertjes, Denys Plakhotnik, Johaness Sossenheimer, Dominik Flum
      Pages 197-208Open Access
    4. Fleet-Wide Proactive Maintenance of Machine Tools

      • Flavien Peysson, Christophe Mozzati, David Leon, Quentin Lafuste, Jean-Baptiste Leger
      Pages 209-224Open Access
    5. Visualization of Simulated and Measured Process Data

      • Denys Plakhotnik, Luke Berglind, Marc Stautner, Dirk Euhus, Erdem Ozturk, Tobias Fuertjes et al.
      Pages 225-233Open Access
  6. From Theory to Practice

    1. Front Matter

      Pages 235-235

About this book

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.


Editors and Affiliations

  • Parke Teknologikoa, IK4-TEKNIKER, Eibar, Spain

    Mikel Armendia

  • Z.I. de Melou, Comau, Castres, France

    Mani Ghassempouri

  • Advanced Manufacturing Park, University of Sheffield, Catcliffe, UK

    Erdem Ozturk

  • Predict, Six-Fours-les-Plages, France

    Flavien Peysson

About the editors

Dr. Mikel Armendia completed his Master’s in Mechanical Engineering in 2007. In 2011, he obtained a PhD in Mechanical Engineering on machining of titanium alloys. He has since worked in the Automation and Control Unit of IK4-TEKNIKER where he has been involved in projects dealing with mechanical system modelling, servo control adjustment, monitoring etc. Since 2015, Dr. Armendia has coordinated the EU-funded Twin-Control project.

 Dr. Eng. Mani Ghassempouri completed his studies in Tehran in 1992, obtaining a Master’s degree in Robotics and Mechanical Engineering from the University of Technology of Tehran. In 1997, he received his PhD degree in Mechanical Engineering from the LMS University (Poitiers, France) and CETIM (Senlis, France). Until 2000 he remained at the CETIM as Simulation and Test Team Manager dealing with dynamic simulation of flexible mechanisms, including the numerical control system, prototyping and experimental validation and software design. From 2000 he has worked at COMAU Powertrain Systems as Research, Development and Innovation Department Manager. He manages all R&D and innovation activities for PWT and is a member of the COMAU Innovation Committee.

Dr. Erdem Ozturk received his BSc degree in Mechanical Engineering from Middle East Technical University in 2003 and his MSc. degree in Mechatronics Engineering from Sabanci University in 2005. He was awarded his PhD degree from the same department in 2010. His PhD thesis focused on modelling of the mechanics and dynamics of multi-axis machining operations, namely, 5-axis ball-end milling, parallel turning and parallel milling processes. Since September 2010, he has been with the AMRC (Advanced Manufacturing Research Centre) with Boeing. He is a Senior Technical Fellow leading the Machining Dynamics group and a lecturer at the University of Sheffield AMRC with Boeing. He is also a Visiting Scholar at the Global Production Engineering and Management MSc. programme at the Vietnamese German University in Ho Chi Minh.  He is an Associate member of CIRP (The International Academy For Production Engineering).

 

 

Dr Flavien PEYSSON is a Research Engineer at the PREDICT company, France, where he is responsible of the R&D Team. He received his M.S. in Industrial Engineering from the Marseilles University Polytechnic School, and earned his PhD, in 2009, from the Aix-Marseilles University, France. He has worked on mission-based usage and component damage accumulation. His research interests focus on formal approach and knowledge management coupled to data analysis for prognostics and health management solutions applied to large scale systems.




Bibliographic Information

Buy it now

Buying options

Hardcover Book USD 59.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Other ways to access