Table of Contents: Twin-Control :

Twin-Control : A Digital Twin Approach to Improve Machine Tools Lifecycle.

Bibliographic Details
Main Author:	Armendia, Mikel.
Other Authors:	Ghassempouri, Mani., Ozturk, Erdem., Peysson, Flavien.
Format:	eBook
Language:	English
Published:	Cham : Springer International Publishing AG, 2019.
Edition:	1st ed.
Subjects:	Electronic books.
Online Access:	Click to View

Table of Contents:

Intro
Foreword
Acknowledgements
Contents
Abbreviations
Introduction
Introduction
1 Machine Tool: From the Digital Twin to the Cyber-Physical Systems
1.1 Introduction
1.2 Machine Tool Digital Twin
1.2.1 Virtual Machining
1.2.2 Virtual Machine Tool
1.2.3 Life Cycle Features
1.3 Monitoring and Data Management
1.3.1 Local Monitoring and Data Management
1.3.2 Network
1.3.3 Data Analytics
1.4 Cyber-Physical Systems in Machine Tools
1.5 Conclusions
References
2 Twin-Control Approach
2.1 Introduction
2.2 Twin-Control Architecture
2.2.1 Integrated Simulation Tool
2.2.2 Local Monitoring and Control System
2.2.3 Fleet-Based Knowledge System
2.3 Twin-Control Validation and Evaluation
2.4 Conclusions
References
Virtual Representation of the Machine Tool and Machining Processes
3 Virtualization of Machine Tools
3.1 Introduction
3.2 The Virtual Machine Tool Concept
3.2.1 Structural Model
3.2.2 Drive Train
3.2.3 Spindle Model
3.2.4 Modelling Principle
3.2.5 Control
3.3 Validation of the VMT
3.3.1 Hammer Test (Comau Machine)
3.3.2 Fast 1 Axis Motion (Comau Machine)
3.4 Conclusions
References
4 Modelling of Machining Processes
4.1 Introduction
4.2 Discrete Cutting Force Model
4.2.1 Introduction
4.2.2 Discretized Force Model
4.2.3 Tool Cutting Forces
4.2.4 Part Cutting Forces
4.2.5 Cutting Trials
4.2.6 Cutting Force Model Summary
4.3 Stability Roadmap
4.3.1 Dynamic Force Model
4.3.2 Stability Roadmap Generation
4.3.3 Stability Roadmap Trials
4.3.4 Stability Roadmap Summary
4.4 Surface Location Error Model
4.4.1 Form Error Prediction
4.4.2 Surface Location Error Calculation
4.4.3 Surface Location Error Trials
4.5 Process Model Simulation Interface.
4.5.1 Process Model GUI Layout, Inputs and Options
4.5.2 Process Model GUI Outputs
4.6 Conclusions
References
5 Towards Energy-Efficient Machine Tools Through the Development of the Twin-Control Energy Efficiency Module
5.1 Introduction
5.1.1 Energy Efficiency of Production Machines
5.1.2 Scope of Investigation
5.2 Theoretical Background
5.2.1 Machine Simulation and Process Modelling
5.2.2 Energy Demand Approximation of Production Machines
5.2.3 Summary
5.3 The Energy Efficiency Module
5.3.1 Framework
5.3.2 Key Elements
5.4 Energy Simulation of Machine Tools
5.4.1 Basic Principle
5.4.2 Modelling the Machine Tool Components
5.5 Implementation on EMAG VLC100Y Turning Machine
5.6 Conclusions
References
6 New Approach for Bearing Life Cycle Estimation and Control
6.1 Introduction
6.2 Theoretical Background
6.3 End-of-Life Calculation Module
6.4 Validation Tests
6.4.1 Experimental Set-up
6.4.2 Results
6.4.3 Vibration Measurements
6.5 Conclusions
References
Real Representation of the Machine Tool and Machining Processes
7 Data Monitoring and Management for Machine Tools
7.1 Introduction
7.2 Monitored Equipment
7.3 Implemented Monitoring Architecture
7.4 Cloud Data Management
7.5 Conclusions
Reference
8 Behaviours Indicators of Machine Tools
8.1 Introduction
8.2 Extraction from Machining Raw Measurements
8.2.1 Indicator Extraction Process
8.2.2 Machine Operating Conditions
8.2.3 Indicator Processing
8.2.4 Example of Indicators
8.3 Machine Tool Characterization Tests
8.3.1 Diagonal Positioning Error Measurement
8.3.2 Artefact Measurement Using Touch Probe
8.3.3 Dynamic Stiffness Measurement of Tool/Part
8.3.4 Feed Drive and Spindle Auto-Characterization
8.4 Conclusions
References.
9 Non-intrusive Load Monitoring on Component Level of a Machine Tool Using a Kalman Filter-Based Disaggregation Approach
9.1 Introduction and Motivation
9.2 Related Work
9.3 Kalman Filter-Based Disaggregation Approach
9.3.1 NILM Through Kalman Filter-Based Power Disaggregation
9.3.2 Differentiation of Dynamic and Constant Electrical Power Consumers
9.3.3 Extension of the Kalman Filter Using Peak Shaving and Damping Factors
9.4 Implementation and Validation of the Presented NILM Approach
9.5 Conclusion and Outlook
References
10 Utilizing PLC Data for Workpiece Flaw Detection in Machine Tools
10.1 Introduction
10.2 Automated Quality Monitoring Using Drive-Based Data
10.2.1 Information Flow and Evaluation Process
10.2.2 Sensitivity Analysis and Signal Processing Steps
10.2.3 Workpiece Flaw Detection
10.2.4 Evaluation and Limits of the Presented Concept
10.3 Influence of Tool Wear on Machine Drive-Based Signals
10.4 Conclusions
References
Integration of the Twin Concept
11 Simulation of Machining Operations Based on the VMT Concept
11.1 Introduction
11.2 Machining Module
11.3 Coupling Architecture
11.4 Simulation of Machining Sequences
11.4.1 Simple Machining Process with the High-Speed Box-in-Box Machine
11.4.2 Machining Process with Tool Change on a Multi-spindle Machine
11.4.3 Industrial Machining Process
11.5 Conclusions
References
12 Cyber-Physical System to Improve Machining Process Performance
12.1 Introduction
12.2 Process Monitoring
12.3 MT Operating Condition Adaptation for Life Increase
12.4 Energy Monitoring System on Component Level
12.5 Telegram Remote Control
12.6 Adaptive Feed Rate Control
12.7 CNC Simulation and Collision Avoidance System (CAS)
12.8 Conclusions
References.
13 Fleet-Wide Proactive Maintenance of Machine Tools
13.1 Introduction
13.1.1 Fleet-Wide Approach and Industrial Challenges
13.1.2 Building the Fleet-Wide Approach
13.2 Fleet-Wide Knowledge Base Architecture
13.2.1 Machine Tool and Related Concepts Definition
13.2.2 Functional and Dysfunctional Analysis
13.2.3 Combination of the General Concepts and Analysis to Build Fleet-Wide Architecture
13.3 Maintenance Platform Services
13.3.1 Data Visualization Services
13.3.2 Event Management Services
13.3.3 Analysis and Investigation Service
13.3.4 Knowledge and Information Sharing Service
13.4 Conclusion
References
14 Visualization of Simulated and Measured Process Data
14.1 Introduction
14.2 3D Volumetric Simulation
14.3 3D Simulation and Interfaces Combined
14.4 Additional Visualization Features
14.5 Conclusions
References
From Theory to Practice
15 Twin-Control Evaluation in Industrial Environment: Aerospace Use Case
15.1 Introduction
15.2 Use Case Description
15.3 Evaluation Strategy
15.4 Scenario of Use 1: Machine Tool Design
15.4.1 Virtual Machine Tool with Integrated Process Models
15.5 Scenario of Use 2: Process Design
15.5.1 Virtual Machine Tool with Integrated Process Models
15.6 Scenario of Use 3: Process Control
15.6.1 Local Machine Tool and Process Monitoring and Control Device
15.7 Scenario of Use 4: Maintenance
15.7.1 Fleet Management System
15.8 Conclusions
16 Twin-Control Evaluation in Industrial Environment: Automotive Case
16.1 Introduction
16.2 Use Case Description
16.3 Evaluation Strategy
16.4 Scenario of Use 1: Machine Tool Design
16.4.1 Virtual Machine Tool with Integrated Process Models
16.4.2 Energy Efficiency Models
16.5 Scenario of Use 2: Process Design
16.5.1 Machining Process Models.
16.6 Scenario of Use 3: Process Control
16.6.1 Local Machine Tool and Process Monitoring and Control Device
16.7 Scenario of Use 4: Maintenance
16.7.1 Fleet Management System
16.8 Scenario of Use 5: Quality Control
16.8.1 Local Machine Tool and Process Monitoring and Control Device
16.9 Conclusions
Conclusions and Next Steps.

Twin-Control : A Digital Twin Approach to Improve Machine Tools Lifecycle.

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