
Precision Assembly in the Digital Age
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The 20 revised full papers were carefully reviewed and selected from numerous submissions. The papers address topics such as machine vision and metrology for assembly operations, gripping and handling technologies, numerical methods and planning in assembly, digital technologies and Industry 4.0 applications, precision assembly methods, assembly systems and platforms and human cooperation, and machine learning. They are organized in the following topical sections: design and deployment of assembly systems; human robot cooperation and machine vision; assembly methods and models; digital technologies and industry 4.0 applications; and gripping and handling solutions in assembly.
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Content
- Intro
- Preface
- Organization
- Contents
- Design and Deployment of Assembly Systems
- An All-in-One Robotic Platform for Hybrid Manufacturing of Large Volume Parts
- Abstract
- 1 Introduction
- 2 The Setup
- 2.1 Manufacturing Approach
- 2.2 Robotic Platform
- 2.3 Absolute Laser Tracker
- 2.4 System Architecture
- 2.5 Control Approach
- 3 Preliminary Results and Discussion
- 3.1 Control Approach
- 3.2 Extended Kalman Filter
- 4 Conclusion and Outlook
- Acknowledgments
- References
- Deployment of a Distributed Multi-Agent Architecture for Transformable Assembly
- Abstract
- 1 Introduction
- 2 Scenario and Current Limitations
- 3 Enabling Technologies for Low-Cost Industry 4.0 Implementation
- 3.1 Data Distribution Services
- 3.2 Embedded Computers
- 3.3 Intelligent Agents
- 4 Technical Implementation of Evolvable Assembly Systems
- 4.1 Embedded Computers and Smart Devices
- 4.2 Interfaces with Resources
- 4.3 Networking and Data Collection
- 4.4 Agents
- 5 Conclusions
- Acknowledgements
- References
- Creating Resource Combinations Based on Formally Described Hardware Interfaces
- 1 Introduction
- 2 Interface Description
- 2.1 Interface Description in Resource Description Concept
- 2.2 Resource Interface Ontology
- 3 Interface Matchmaking
- 3.1 Process for Comparing the Interfaces
- 3.2 Rules for Interface Characteristics
- 4 Test Cases for Interface Matchmaking
- 5 Discussion and Conclusions
- References
- Functional Modelling in Evolvable Assembly Systems
- Abstract
- 1 Introduction
- 2 Functional Modelling and the Behavioural Approach
- 3 Evolvable Assembly Systems
- 3.1 Multi-agent Architecture
- 3.2 Shared Context
- 4 Implementation Example
- 5 Summary and Acknowledgements
- References
- Production and Maintenance Scheduling Supported by Genetic Algorithms
- Abstract
- 1 Introduction
- 2 Related Work
- 3 Dynamic Scheduling Solution
- 3.1 System Overview
- 3.2 Scheduling Algorithm
- 4 Execution Environment
- 5 Conclusions and Further Work
- 5.1 Conclusions
- 5.2 Further Work
- References
- Human Robot Cooperation and Machine Vision
- A Learning Method for Automated Disassembly
- Abstract
- 1 Introduction
- 2 Related Work
- 3 Learning Method for Disassembly Processes
- 3.1 Product Characteristics
- 3.2 Lookup-Table
- 3.3 Multiple Linear Regression
- 3.4 Example of Use
- 3.5 Mean Value
- 4 Conclusion and Outlook
- Acknowledgments
- References
- Gesture-Based Robot Programming Using Microsoft Kinect
- Abstract
- 1 Introduction
- 2 Concept of Programming
- 3 Recognition of Fingertips
- 4 Recognition of Planes
- 4.1 Related Work
- 4.2 Plane and Edge Detection
- 5 Precision of Surface Recognition
- 6 Conclusion and Outlook
- References
- The Comfort Zone Concept in a Human-Robot Cooperative Task
- 1 Introduction
- 2 Related Works
- 3 Comfort Zone Concept
- 3.1 Research Methodology
- 3.2 Factors Relating to Mental Comfort
- 3.3 Factors Relating to Physical Comfort
- 4 Conclusion
- References
- A Low-Cost Automated Fastener Painting Method Based on Machine Vision
- Abstract
- 1 Introduction
- 2 Related Work
- 3 The Automated Fastener Painting System
- 3.1 System Overview
- 3.2 Painting Process
- 3.3 Vision-Guided Programming
- 3.4 System Calibration
- 3.5 Singularity Avoidance
- 4 Experimental Results
- 5 Conclusion and Future Work
- References
- Assembly Methods and Models
- A Probabilistic Approach for Trade-off Analysis of Composite Wing Structures at the Conceptual Phase of Design
- Abstract
- 1 Introduction
- 2 Cost Modelling Method
- 2.1 Process Based Cost Model
- 2.2 Monte Carlo Simulation and the Rank Correlation Coefficient
- 3 Case Study
- 3.1 Concepts
- 3.2 Scope of the Model
- 3.3 Manufacturing and Assembly Process Plan
- 4 Results and Discussion
- 5 Conclusions
- Acknowledgements
- References
- Precision Assembly of Optical Backplanes
- Abstract
- 1 Introduction
- 2 Backplane Design and Assembly Challenges
- 2.1 Optical Backplane for ICT Apparatus
- 2.2 Assembly Strategy and Main Steps
- 3 Automatic Assembly: Enabling Technologies
- 3.1 Robotized Assembly Solution
- 3.2 Digital Work-Cell Design
- 3.3 Additive Technologies for Components' Manufacturing
- 3.4 Virtual Simulation and Off-line Programming
- 4 Work-Cell and Interconnect Circuit Prototypes
- 5 Conclusions
- Acknowledgments
- References
- Prefabrication and Automated Micro Assembly of Piezoceramic Fiber Array Transducers in Microstructured Surfaces of Sheet Metals
- Abstract
- 1 Introduction
- 2 PZT Fiber Arrays for Direct Functional Integration in Microstructured Sheet Metals
- 2.1 Design Concept of Piezo-Metal Modules
- 2.2 Principle for High-Volume Production of PZT Fiber Arrays
- 3 Automated Micro Assembly
- 3.1 Design of Micro-Assembly System
- 3.2 Machine Vision System
- 3.3 Chromatic Confocal Sensors
- 4 Experimental
- 4.1 Manufacturing of PZT Fiber Arrays
- 4.2 Pose Measurement with Micro Assembly System
- 5 Summary
- Acknowledgement
- References
- Towards a Cloud-Based Analytics Framework for Assembly Systems
- Abstract
- 1 Introduction
- 2 A Data Analytics Framework for the Cloud
- 3 Deployment on the Cloud
- 4 Deployment on Assembly Lines
- 5 Real-Time Monitoring of Assembly Lines
- 6 Conclusions
- References
- Digital Technologies and Industry 4.0 Applications
- Information-Rich Manufacturing Metrology
- Abstract
- 1 Manufacturing Metrology
- 2 Information-Rich Metrology
- 3 Examples of IRM Research at Nottingham
- 3.1 An All-Optical Dimensional Measuring System
- 3.2 High Slope Measurement
- 3.3 Measurement Enhancement Using Artificial Intelligence
- 4 Discussion
- Acknowledgements
- References
- Aerospace Assembly Gap Measurement Using Low Cost Smart Tools with Machine Vision
- Abstract
- 1 Introduction
- 1.1 Industry 4.0 and Smart Tools
- 1.2 Hand Held Machine Vision Application
- Gap Measurement in Aerospace
- 1.3 Rapid Manufacturing, Machine Vision and IOT Devices
- 2 Research Methodology
- 2.1 Experimental Set-Up
- 2.2 Control Algorithms and Decision-Making Environment
- 3 System Implementation and Discussion of Results
- 3.1 Calibration and Variability
- 4 Conclusions
- References
- Towards Industry 4.0: The Future Automated Aircraft Assembly Demonstrator
- Abstract
- 1 Introduction
- 2 Evolvable Assembly Systems
- 3 EAS for Aerospace: The FA3D
- 3.1 Industrial Robots and Operating End Effectors
- 3.2 Metrology Systems
- 3.3 Safety
- 3.4 Communication
- 3.5 Radio-Frequency IDentification
- 4 Positioning Technology
- 4.1 Preliminary Work
- 4.2 Positioning Process
- 4.3 Addressed Issues
- 5 Conclusion
- References
- Does Industry 4.0 Pose a Challenge for the SME Machine Builder? A Case Study and Reflection of Readiness for a UK SME
- Abstract
- 1 Introduction
- 2 Assessment of the Definition of Industry 4.0
- 3 Assessment of TQC Capability Against the Nine Pillars
- 3.1 Big Data and Analytics
- 3.2 Autonomous Robots
- 3.3 Simulation
- 3.4 Horizontal and Vertical IT System Integration
- 3.5 The Industrial Internet of Things
- 3.6 Cybersecurity
- 3.7 The Cloud
- 3.8 Additive Manufacturing
- 3.9 Augmented Reality
- 3.10 Summary of 9 Pillars Assessment
- 4 The Challenges in Implementation of Industry 4.0
- 5 An Assessment Related to Big Data
- 5.1 The 6Cs of Data Analytics
- 6 The Pressures on Manufacturing System Suppliers and Specifiers
- 7 Conclusion
- References
- Gripping and Handling Solutions in Assembly
- Sliding Mode Impedance Controlled Smart Fingered Microgripper for Automated Grasp and Release Tasks at the Microscale
- Abstract
- 1 Introduction
- 2 Microgripper Design
- 3 Microgripper Model
- 3.1 Model of the Passive Finger and of the Microcomponent
- 3.2 Model of the Smart Finger
- 4 Impedance Control with Force Tracking for the Control of the Grasping Task
- 4.1 Sliding Mode Impedance Control Formulation
- 4.2 Force Tracking
- 5 Experimental Studies
- 5.1 Experimental Setup
- 5.2 Experimental Results
- 6 Conclusion
- Acknowledgment
- References
- Fluid Dynamics Aided Design of an Innovative Micro-Gripper
- Abstract
- 1 Introduction
- 2 The Working Principle of the Vacuum Micro-grippers
- 3 CFD Simulations
- 4 The Gripper Model
- 5 The Design Procedure
- 6 Conclusions
- Acknowledgments
- References
- Improving Rigid-Body Registration Based on Points Affected by Bias and Noise
- Abstract
- 1 Introduction
- 2 Restoration of Rigid-Body Condition
- 3 Experiment
- 4 Data Processing
- 5 Results
- 6 Discussion and Conclusions
- References
- Author Index
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