Customized Production Through 3D Printing in Cloud Manufacturing explains how to combine the latest cloud manufacturing and additive manufacturing technology to find innovative solutions to important problems in research and industry.
The manufacturing industry strives constantly to improve levels of product personalization for its customers, who have become increasingly demanding in this respect in recent decades. Among the tools currently growing in use in the industry, there is great potential to address this demand. Cloud manufacturing maps manufacturing resources and capabilities to the cloud, adding the capacity to gather decentralized manufacturing resources and use manufacturing services on-demand, and 3D printing provides strong support for truly individualized manufactured components.
This is the first book to cover the whole lifecycle of 3D printing services in a cloud environment, including topics like: cloud servitization of 3D printers, 3D printing model design, supply-demand matching and scheduling, on-demand using and pricing, printing monitoring in cloud, and printing service evaluation. With a systematic introduction to this promising manufacturing paradigm, as well as coverage of models and service management to practical applications, this book will meet the needs of a broad range of researchers as well as practitioners.
Author(s): Lin Zhang, Longfei Zhou, Luo Xiao
Publisher: Elsevier
Year: 2022
Language: English
Pages: 212
City: Amsterdam
Front Cover
Customized Production Through 3D Printing in Cloud Manufacturing
Copyright
Contents
Preface
Chapter 1: Introduction to customized manufacturing
1.1. The origin of customized manufacturing
1.2. Evolution of customized production
1.2.1. Cottage industry production
1.2.2. Machine production
1.2.3. Mass production
1.2.4. Mass customized production
1.2.5. Future production
1.3. 3D printing and cloud manufacturing
1.4. Conclusion
References
Chapter 2: Advances in cloud manufacturing
2.1. A new paradigm of manufacturing
2.2. The concept of cloud manufacturing
2.2.1. The conceptual model of cloud manufacturing
2.2.2. Whole life cycle activities in a cloud environment
2.2.3. Six unique abilities of cloud service platform
2.3. Six technical features of cloud manufacturing
2.3.1. Digitization
2.3.2. Networking
2.3.3. Virtualization
2.3.4. Service-orientation
2.3.5. Collaboration
2.3.6. Intelligence
2.4. Conclusion
References
Chapter 3: 3D printing with cloud manufacturing
3.1. 3D printing in the cloud manufacturing environment
3.2. Production with cloud 3D printing platform
3.2.1. The architecture of the cloud 3D printing platform
3.2.2. The functional structure of the cloud 3D printing platform
3.2.3. Standard for 3D printing platform
3.3. Advantages of cloud 3D printing services
3.3.1. High customization
3.3.2. High agility
3.3.3. High flexibility
3.3.4. High socialization
3.3.5. Low cost
3.4. Conclusion
References
Chapter 4: Model design of 3D printing
4.1. 3D printing model management
4.2. Sketch based 3D model retrieval
4.3. Image based 3D model generation
4.3.1. 3D model generation process
4.3.2. Experiment and evaluation
4.4. Conclusion
References
Chapter 5: 3D printing resource access
5.1. Classification of 3D printers
5.2. Accessing 3D printers based on adapters
5.2.1. Adapter access module on the adapter side
5.2.2. Service management module on the platform side
5.2.3. Communication between platform and adapters
5.2.4. Distributed slicing task execution based on adapters
5.3. Accessing 3D printers based on sensors
5.3.1. Sensor selection and application
5.3.2. Sensor fusion
5.4. Conclusion
References
Chapter 6: 3D printing process monitoring
6.1. Quality problems in the 3D printing
6.2. Overview of the 3D printing process monitoring method
6.3. 3D printing fault detection based on process data
6.3.1. Data acquiring
6.3.2. Data preprocessing
6.3.3. Feature engineering
6.3.4. Classifier
6.3.5. Design of the fault detection system
6.4. Conclusion
References
Chapter 7: 3D printing credibility evaluation
7.1. 3D printing model credibility evaluation
7.1.1. Problem description
7.1.2. Framework of 3D printing model credibility evaluation
7.1.3. Indexes and evaluation of 3D printing model credibility
7.2. 3D printing service credibility evaluation
7.2.1. Credibility evaluation indicators of cloud manufacturing services
7.2.2. Attributes of a 3D printing equipment
7.2.3. Credibility assessment process of cloud manufacturing services
7.3. Conclusion
References
Chapter 8: Supply-demand matching and task scheduling
8.1. The supply and demand relationship in 3D printing cloud platform
8.2. Supply-demand matching
8.2.1. Multi-source data integration model
8.2.2. Capability indicator model
8.2.3. Model-based matching process and matching rules
8.3. Scheduling of distributed 3D printing services
8.3.1. Optimization objective
8.3.2. Constraints
8.3.3. Optimization algorithm
8.4. Conclusion
References
Chapter 9: 3D printing process management
9.1. Multi-task parallel printing for complex products
9.1.1. Problem definition
9.1.2. Combinatorial optimization method of parallel processing services
9.2. A 3D printing task packing algorithm
9.2.1. Problem description
9.2.2. The 3D printing task packing algorithm (3DTPA)
9.3. Conclusion
References
Chapter 10: Security and privacy in cloud 3D printing
10.1. Data security of cloud 3D printing platforms
10.1.1. Data security issues in cloud 3D printing
10.1.2. Encryption technology for cloud 3D printing data
10.1.3. Violation identification and notification in cloud 3D printing
10.2. Access control for cloud 3D printers
10.3. Security of cloud 3D printing based on blockchain
10.3.1. Review of blockchain applications in cloud manufacturing
10.3.2. Credit security of cloud 3D printing services
10.4. Intellectual property protection
10.5. Conclusions
References
Chapter 11: Application demonstration of cloud 3D printing platform
11.1. Customized production based on cloud 3D printing platform
11.2. Conclusion
Chapter 12: Conclusions and future work
References
Index
Back Cover
