Relevant bibliographies by topics / Distributed 3D printing

Academic literature on the topic 'Distributed 3D printing'

Author: Grafiati
Published: 10 December 2022
Last updated: 28 January 2023

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Journal articles on the topic "Distributed 3D printing"

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Chen, Y. "Advantages of 3D Printing for Circular Economy and Its Influence on Designers." Proceedings of the Design Society 2 (May 2022): 991–1000. http://dx.doi.org/10.1017/pds.2022.101.

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AbstractBased on the theoretical research of 3D printing and circular economy, combined with case studies, this paper analyzes the advantages of 3D printing in realizing circular economy and its influence on designers from the perspectives of “reduce”, “reuse”, “recycle” and distributed manufacturing. As a technological innovation, 3D printing not only promoted the transformation from linear economy to circular economy, but also had a certain impact on the role and skills of traditional designers.
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Shi, Ce, Lin Zhang, Jingeng Mai, and Zhen Zhao. "3D printing process selection model based on triangular intuitionistic fuzzy numbers in cloud manufacturing." International Journal of Modeling, Simulation, and Scientific Computing 08, no. 02 (December 22, 2016): 1750028. http://dx.doi.org/10.1142/s1793962317500283.

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The distributed and customized 3D printing can be realized by 3D printing services in a cloud manufacturing environment. As a growing number of 3D printers are becoming accessible on various 3D printing service platforms, there raises the concern over the validation of virtual product designs and their manufacturing procedures for novices as well as users with 3D printing experience before physical products are produced through the cloud platform. This paper presents a 3D model to help users validate their designs and requirements not only in the traditional digital 3D model properties like shape and size, but also in physical material properties and manufacturing properties when producing physical products like surface roughness, print accuracy and part cost. These properties are closely related to the process of 3D printing and materials. In order to establish the 3D model, the paper analyzes the model of the 3D printing process selection in the cloud platform. Triangular intuitionistic fuzzy numbers are applied to generate a set of 3D printers with the same process and material. Based on the 3D printing process selection model, users can establish the 3D model and validate their designs and requirements on physical material properties and manufacturing properties before printing physical products.
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Isnain, Auliya Rahman, Qadhli Jafar Adrian, and Ade Dwi Putra. "Digital Printing Training for Design at Students of SMK Budi Karya Natar." Journal of Engineering and Information Technology for Community Service 1, no. 3 (January 1, 2023): 137–41. http://dx.doi.org/10.33365/jeit-cs.v1i3.205.

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The presence of technology in our lives if used positively, actually brings many benefits. No exception to support and maximize a business. Following the rapid development of digital, business competition is getting tougher. Figma is one of the design tools and the advantage of Figma is web based. Illustrations on the figma are created with basic shapes and editing tools available. We can use the edit object to manipulate the nodes as needed. The purpose of the PKM activity entitled introduction to design technology and 3D printing is to provide knowledge to students and teachers about design technology and 3D printing technology and the benefits obtained in the use of design technology and 3D printing. From the results of the questionnaire, knowledge about 3D Printing technology that was distributed before the activity and after the activity there was an increase in student and teacher knowledge about 3D Printing technology from those who knew 50% before the PKM activity, after this activity increased to 100% knowing about 3D Printing technology.
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Li, Simeng, Liang Hao, Qiaoyu Chen, Lu Zhang, Ping Gong, Zhaohui Huang, Dongchen Huang, Ping Nie, and Hua Dong. "Open Design and 3D Printing of Face Shields: The Case Study of a UK-China Initiative." Strategic Design Research Journal 13, no. 3 (December 23, 2020): 511–24. http://dx.doi.org/10.4013/sdrj.2020.133.17.

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At the start of the COVID-19 outbreak, many countries lacked personal protective equipment (PPE) to protect healthcare workers. To address this problem, open design and 3D printing technologies were adopted to provide much-in-need PPEs for key workers. This paper reports an initiative by designers and engineers in the UK and China. The case study approach and content analysis method were used to study the stakeholders, the design process, and other relevant issues such as regulation. Good practice and lessons were summarised, and suggestions for using distributed 3D printing to supply PPEs were made. It concludes that 3D printing has played an important role in producing PPEs when there was a shortage of supply, and distributed manufacturing has the potential to quickly respond to local small-bench production needs. In the future, clearer specification, better match of demands and supply, and quicker evaluation against relevant regulations will provide efficiency and quality assurance for 3D printed PPE supplies.
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Cong, Lu. "Development and Application of 3D Printing Technology in Industrial Design." Learning & Education 10, no. 5 (March 13, 2022): 119. http://dx.doi.org/10.18282/l-e.v10i5.2697.

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Internet technology promotes the transformation of social cooperation, and the rise of small organizations and distributed design behavior seem to be the inevitable trend. As a rapid prototyping process, 3D printing technology based on artificial intelligence technology will definitely bring revolutionary changes to the future manufacturing industry. This paper mainly analyzes the innovative application of 3D printing technology in industrial product design, explores the application of 3D printing technology in industrial design, lays a stable foundation and provides a strong driving force for the all-round and good development of China’s industry, and hopes to improve the production quality of industrial products and provide corresponding reference. D printing technology is one of the technical paths to realize Industry 4.0.
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Ullah, AMM Sharif, Doriana Marilena D’Addona, Yusuke Seto, Shota Yonehara, and Akihiko Kubo. "Utilizing Fractals for Modeling and 3D Printing of Porous Structures." Fractal and Fractional 5, no. 2 (April 30, 2021): 40. http://dx.doi.org/10.3390/fractalfract5020040.

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Porous structures exhibiting randomly sized and distributed pores are required in biomedical applications (producing implants), materials science (developing cermet-based materials with desired properties), engineering applications (objects having controlled mass and energy transfer properties), and smart agriculture (devices for soilless cultivation). In most cases, a scaffold-based method is used to design porous structures. This approach fails to produce randomly sized and distributed pores, which is a pressing need as far as the aforementioned application areas are concerned. Thus, more effective porous structure design methods are required. This article presents how to utilize fractal geometry to model porous structures and then print them using 3D printing technology. A mathematical procedure was developed to create stochastic point clouds using the affine maps of a predefined Iterative Function Systems (IFS)-based fractal. In addition, a method is developed to modify a given IFS fractal-generated point cloud. The modification process controls the self-similarity levels of the fractal and ultimately results in a model of porous structure exhibiting randomly sized and distributed pores. The model can be transformed into a 3D Computer-Aided Design (CAD) model using voxel-based modeling or other means for digitization and 3D printing. The efficacy of the proposed method is demonstrated by transforming the Sierpinski Carpet (an IFS-based fractal) into 3D-printed porous structures with randomly sized and distributed pores. Other IFS-based fractals than the Sierpinski Carpet can be used to model and fabricate porous structures effectively. This issue remains open for further research.
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Chen, Zhen. "The Influence of 3D Printing on Global Container Multimodal Transport System." Complexity 2017 (2017): 1–19. http://dx.doi.org/10.1155/2017/7849670.

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Container multimodal transport system was an important promoter of postwar globalization. But in the future, part of global manufacturing may change from centralized to distributed due to 3D printing. To evaluate its impact, this research established a system dynamics model of sneakers supply chain firstly. The modeling showed that the total demand of international transport would decline after the application of 3D printing. For consumer country, the return of manufacturing would increase its container business. And that of producer country would reduce correspondingly. But for resource country, its resource exports would decline, while its container business may grow for the local processing of printing filaments. Secondly, the evaluations based on the data of Guangzhou port suggest that the 3D printing of sneakers was not enough to subvert the existing system. It would be broken only after the 3D printing of electrical products. By then, more manufacturing activities would transfer to the end of supply chain. On the other hand, producer country may actively respond to maintain its advantage in incumbent industrial pattern, such as Belt and Road initiative proposed by China. Deglobalization, caused by 3D printing, and globalization strengthening, caused by trade cooperation, will affect this system simultaneously.
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Xu, Wen Jin. "Data Flow Analysis on 3D Printing for Distributed Manufacturing Information System." Applied Mechanics and Materials 599-601 (August 2014): 543–46. http://dx.doi.org/10.4028/www.scientific.net/amm.599-601.543.

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3D printing is a new kind technology with great future. As a new processing technology in the intelligent manufacturing, it will change the way of mass production assembly line as the representative of the second industrial revolution. At the same time, distributed production need new data flow strategy and new network for big data. In this article, we introduced the research for the distributed manufacture network and data flow analysis.
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Mai, Jingeng, Lin Zhang, Fei Tao, and Lei Ren. "Customized production based on distributed 3D printing services in cloud manufacturing." International Journal of Advanced Manufacturing Technology 84, no. 1-4 (October 14, 2015): 71–83. http://dx.doi.org/10.1007/s00170-015-7871-y.

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Zhou, Longfei, Lin Zhang, Yuanjun Laili, Chun Zhao, and Yingying Xiao. "Multi-task scheduling of distributed 3D printing services in cloud manufacturing." International Journal of Advanced Manufacturing Technology 96, no. 9-12 (February 27, 2018): 3003–17. http://dx.doi.org/10.1007/s00170-017-1543-z.

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Dissertations / Theses on the topic "Distributed 3D printing"

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Norwood, Charles Ellis. "Demonstration of Vulnerabilities in Globally Distributed Additive Manufacturing." Thesis, Virginia Tech, 2020. http://hdl.handle.net/10919/99104.

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Globally distributed additive manufacturing is a relatively new frontier in the field of product lifecycle management. Designers are independent of additive manufacturing services, often thousands of miles apart. Manufacturing data must be transmitted electronically from designer to manufacturer to realize the benefits of such a system. Unalterable blockchain legers can record transactions between customers, designers, and manufacturers allowing each to trust the other two without needing to be familiar with each other. Although trust can be established, malicious printers or customers still have the incentive to produce unauthorized or pirated parts. To prevent this, machine instructions are encrypted and electronically transmitted to the printing service, where an authorized printer decrypts the data and prints an approved number of parts or products. The encrypted data may include G-Code machine instructions which contain every motion of every motor on a 3D printer. Once these instructions are decrypted, motor drivers send control signals along wires to the printer's stepper motors. The transmission along these wires is no longer encrypted. If the signals along the wires are read, the motion of the motor can be analyzed, and G-Code can be reverse engineered. This thesis demonstrates such a threat through a simulated attack on a G-Code controlled device. A computer running a numeric controller and G-Code interpreter is connected to standard stepper motors. As G-Code commands are delivered, the magnetic field generated by the transmitted signals is read by a Hall Effect sensor. The rapid oscillation of the magnetic field corresponds to the stepper motor control signals which rhythmically move the motor. The oscillating signals are recorded by a high speed analog to digital converter attached to a second computer. The two systems are completely electronically isolated. The recorded signals are saved as a string of voltage data with a matching time stamp. The voltage data is processed through a Matlab script which analyzes the direction the motor spins and the number of steps the motor takes. With these two pieces of data, the G-Code instructions which produced the motion can be recreated. The demonstration shows the exposure of previously encrypted data, allowing for the unauthorized production of parts, revealing a security flaw in a distributed additive manufacturing environment.
Master of Science
Developed at the end of the 20th century, additive manufacturing, sometimes known as 3D printing, is a relatively new method for the production of physical products. Typically, these have been limited to plastics and a small number of metals. Recently, advances in additive manufacturing technology have allowed an increasing number of industrial and consumer products to be produced on demand. A worldwide industry of additive manufacturing has opened up where product designers and 3D printer operators can work together to deliver products to customers faster and more efficiently. Designers and printers may be on opposite sides of the world, but a customer can go to a local printer and order a part designed by an engineer thousands of miles away. The customer receives a part in as little time as it takes to physically produce the object. To achieve this, the printer needs manufacturing information such as object dimensions, material parameters, and machine settings from the designer. The designer risks unauthorized use and the loss of intellectual property if the manufacturing information is exposed. Legal protections on intellectual property only go so far, especially across borders. Technical solutions can help protect valuable IP. In such an industry, essential data may be digitally encrypted for secure transmission around the world. This information may only be read by authorized printers and printing services and is never saved or read by an outside person or computer. The control computers which read the data also control the physical operation of the printer. Most commonly, electric motors are used to move the machine to produce the physical object. These are most often stepper motors which are connected by wires to the controlling computers and move in a predictable rhythmic fashion. The signals transmitted through the wires generate a magnetic field, which can be detected and recorded. The pattern of the magnetic field matches the steps of the motors. Each step can be counted, and the path of the motors can be precisely traced. The path reveals the shape of the object and the encrypted manufacturing instructions used by the printer. This thesis demonstrates the tracking of motors and creation of encrypted machine code in a simulated 3D printing environment, revealing a potential security flaw in a distributed manufacturing system.
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Book chapters on the topic "Distributed 3D printing"

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Ford, Simon, and Tim Minshall. "Defining the Research Agenda for 3D Printing-Enabled Re-distributed Manufacturing." In Advances in Production Management Systems: Innovative Production Management Towards Sustainable Growth, 156–64. Cham: Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-22759-7_18.

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Liu, Sicheng, Ying Liu, and Lin Zhang. "Distributed 3D Printing Services in Cloud Manufacturing: A Non-cooperative Game-Theory-Based Selection Method." In Communications in Computer and Information Science, 137–45. Singapore: Springer Singapore, 2019. http://dx.doi.org/10.1007/978-981-15-1078-6_12.

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Frazer, John Scott. "The Role of Distributed Manufacturing and 3D Printing in Development of Personal Protective Equipment Against COVID-19." In Lecture Notes in Bioengineering, 15–34. Singapore: Springer Singapore, 2021. http://dx.doi.org/10.1007/978-981-33-6703-6_2.

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Küfeoğlu, Sinan. "Emerging Technologies." In Emerging Technologies, 41–190. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-031-07127-0_2.

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AbstractThis chapter presents brief descriptions and working principles of 34 emerging technologies which have market diffusion and are commercially available. Emerging technologies are the ones whose development and application areas are still expanding fast, and their technical and value potential is still largely unrealised. In alphabetical order, the emerging technologies that we list in this chapter are 3D printing, 5G, advanced materials, artificial intelligence, autonomous things, big data, biometrics, bioplastics, biotech and biomanufacturing, blockchain, carbon capture and storage, cellular agriculture, cloud computing, crowdfunding, cybersecurity, datahubs, digital twins, distributed computing, drones, edge computing, energy storage, flexible electronics and wearables, healthcare analytics, hydrogen, Internet of Behaviours, Internet of Things, natural language processing, quantum computing, recycling, robotic process automation, robotics, soilless farming, spatial computing and wireless power transfer.
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Cucinotta, Filippo, Marcello Raffaele, and Fabio Salmeri. "A Topology Optimization Method for Stochastic Lattice Structures." In Lecture Notes in Mechanical Engineering, 235–40. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-70566-4_38.

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AbstractStochastic lattice structures are very powerful solutions for filling three-dimensional spaces using a generative algorithm. They are suitable for 3D printing and are well appropriate to structural optimization and mass distribution, allowing for high-performance and low-weight structures. The paper shows a method, developed in the Rhino-Grasshopper environment, to distribute lattice structures until a goal is achieved, e.g. the reduction of the weight, the harmonization of the stresses or the limitation of the strain. As case study, a cantilever beam made of Titan alloy, by means of SLS technology has been optimized. The results of the work show the potentiality of the methodology, with a very performing structure and low computational efforts.
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Mitev, Tihomir. "Where Is the Missing Matter?" In 3D Printing, 145–52. IGI Global, 2017. http://dx.doi.org/10.4018/978-1-5225-1677-4.ch007.

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The additive manufacturing (or the popular 3D printing) is relatively new technology which opens new spaces for entrepreneurial imagination and promises next stage of the industrial revolution. It is creating three dimensional solid objects from a digital file. The printer transforms the file into a material object layer by layer, using different raw materials. Today, the additive manufacturing is successfully used in architecture, medicine and healthcare, light and heavy industries, education, etc. The paper analyses the roles of actors in manufacturing the objects. It starts with the Heideggerian questioning of technology (), searching for the causes of bringing into appearance of the 3D model. According to Heideggerian analysis the technology is represented as an ‘unveiling of the truth'. The paper suggests that the old understanding of matter as a thing-in-itself should be replaced by a new, flexible, fluid, concept of matter, which is more or less manipulable. The matter is no more an occasion for object's taking place. On the other hand, it seems 3D printing technology is reduced to mere means; a simple intermediary, a copier of ideas. From that perspective the paper questioning the problem of action in ANT and search how action and interaction is distributed and how actors constitutes themselves as well as their actor-world.
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Loy, Jennifer, and James I. Novak. "3D Printing Build Farms." In Anywhere Working and the Future of Work, 220–46. IGI Global, 2021. http://dx.doi.org/10.4018/978-1-7998-4159-3.ch009.

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The development of high-end, distributed, advanced manufacturing over the last decade has been a by-product of a push to foster new workforce capabilities, while building a market for industrial additive manufacturing (3D printing) machines. This trend has been complemented by a growing democratization in access to commercial platforms via the internet, and the ease of communication it allows between consumers and producers. New ways of distributed working in manufacturing are on the rise while mass production facilities in the Western world are in decline. As automation increasingly excludes the worker from assembly line production, the tools to regain control over manufacturing and commercial interaction are becoming more readily available. As a result, new working practices are emerging. This chapter discusses networked 3D printing build farms and their potential to reshape the future of work for distributed manufacturing. It highlights changes in infrastructure priorities and education for a digitally enabled maker society from an Australian perspective.
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Novak, James I., and Paul Bardini. "The Popular Culture of 3D Printing." In Advances in Media, Entertainment, and the Arts, 188–211. IGI Global, 2019. http://dx.doi.org/10.4018/978-1-5225-8491-9.ch012.

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As 3D printing technology achieves mainstream adoption, people are forming new relationships with products as they shift from passive consumers to “prosumers” capable of both producing and consuming objects on demand. This is fueled by expanding online 3D printing communities, with new data within this chapter suggesting that prosumers are challenging existing understandings of popular culture as they bypass traditional mass manufacturing. With 3D digital files rapidly distributed through online platforms, this chapter argues that a new trend for “viral objects” is emerging, alongside the “3D selfie,” as digital bits spread via the internet are given physical form through 3D printing in ever increasing quantities. Analysis of these trends will provide academics, educators, and prosumers with a new perspective of 3D printing's socio-cultural impact, and further research directions are suggested to build a broader discourse around the opportunities and challenges of a cyberphysical future.
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Wei, Shuyi, Shaobo Wei, Jingyi Guo, Zhulin Shao, Lei Zhu, and Xiuxia Zhang. "3D Printing System and Method of Organic Polymer Solar Cell Device Based on Blockchain." In Advances in Transdisciplinary Engineering. IOS Press, 2022. http://dx.doi.org/10.3233/atde221017.

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Low carbon development has become the theme of today’s social development, which foundation was renewable energy.For example: photovoltaic power generation, wind power generation, hydropower generation and so on.One of the representatives of new energy is photovoltaic power generation. After a long period of development, photovoltaic power generation technology has become more and more mature. For improved solar cell stability, photoelectric conversion efficiency, low cost and data security of energy information. 3D printing system and method of organic polymer solar cell device based on blockchain was rough design. 3D printing technology could be used to replace traditional manufacturing technology to complete the printing and manufacturing of solar cell devices. In order to meet the requirements. First, Modeling solar cell structure according to customer requirements, and then process simulation and performance analysis, 3D printing manufacturing after reaching the standards.For data security combining blockchain technology with 3D printing technology, the data security problem of 3D printing could be solved. Blockchain technology has been use to data structure to verify and store data. Blockchain could be considered as a distributed ledger which was decentralized, non-tamperable, traceable, and maintained by multiple parties. By applying the features of blockchain technology such as data encryption, time stamping, and distributed consensus to 3D printing technology, combined with the cloud platform, the cost and stability of 3D printed solar cell devices would be further improved.
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Taito-Matamua, Lionel, Simon Fraser, and Jeongbin Ok. "Chapter 11 Renewing Materials: Implementing 3D Printing and Distributed Recycling in Samoa." In Unmaking Waste in Production and Consumption: Towards the Circular Economy, 191–212. Emerald Publishing Limited, 2018. http://dx.doi.org/10.1108/978-1-78714-619-820181016.

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Conference papers on the topic "Distributed 3D printing"

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Guo, Yijie, Joost Peters, Tom Oomen, and Sandipan Mishra. "Distributed model predictive control for ink-jet 3D printing." In 2017 IEEE International Conference on Advanced Intelligent Mechatronics (AIM). IEEE, 2017. http://dx.doi.org/10.1109/aim.2017.8014056.

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Wang, Ziqi. "Exploration of Topological Data Analysis In 3D Printing." In 2020 International Conference on Information Science, Parallel and Distributed Systems (ISPDS). IEEE, 2020. http://dx.doi.org/10.1109/ispds51347.2020.00038.

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Ren, Lei, Shicheng Wang, Yijun Shen, Shikai Hong, Yudi Chen, and Lin Zhang. "3D Printing in Cloud Manufacturing: Model and Platform Design." In ASME 2016 11th International Manufacturing Science and Engineering Conference. American Society of Mechanical Engineers, 2016. http://dx.doi.org/10.1115/msec2016-8669.

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Although 3D printing has attracted remarkable attention from both industry and academia society, still only a relatively small number of people have access to required 3D printers and know how to use them. One of the challenges is that how to fill the gap between the unbalanced supply of various 3D printing capabilities and the customized demands from geographically distributed customers. The integration of 3D printing into cloud manufacturing may promote the development of future smart networks of virtual 3D printing cloud, and allow a new service-oriented 3D printing business model to achieve mass customization. This paper presents a primary 3D printing cloud model and an advanced 3D printing cloud model, and analyzes the 3D printing service delivery paradigms in the models. Further, the paper proposes a 3D printing cloud platform architecture design to support the advanced model. The proposed advanced 3D printing cloud model as well as the architecture design can provide a reference for the development of various 3D printing clouds.
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Fok, Kai-Yin, Chi-Tsun Cheng, Chi K. Tse, and Nuwan Ganganath. "A Relaxation Scheme for TSP-Based 3D Printing Path Optimizer." In 2016 International Conference on Cyber-Enabled Distributed Computing and Knowledge Discovery (CyberC). IEEE, 2016. http://dx.doi.org/10.1109/cyberc.2016.80.

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Zhou, Longfei, Lin Zhang, Lei Ren, and Yuanjun Laili. "Matching and selection of distributed 3D printing services in cloud manufacturing." In IECON 2017 - 43rd Annual Conference of the IEEE Industrial Electronics Society. IEEE, 2017. http://dx.doi.org/10.1109/iecon.2017.8216815.

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Xu, Yue, and Cheng Deng. "An investigation on 3D printing technology for power electronic converters." In 2017 IEEE 8th International Symposium on Power Electronics for Distributed Generation Systems (PEDG). IEEE, 2017. http://dx.doi.org/10.1109/pedg.2017.7972486.

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Yan, Jianzhuo, and Zhongqi Li. "Research on distributed 3D printing model slicing system based on cloud platform." In Fourteenth National Conference on Laser Technology and Optoelectronics, edited by Huai-Liang Xu, Feng Chen, Lingfei Ji, Buhong Li, Xiaoping Xie, Yuxin Leng, Zhengming Sheng, et al. SPIE, 2019. http://dx.doi.org/10.1117/12.2533775.

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Yinan Wu, Gongzhuang Peng, Lu Chen, and Heming Zhang. "Service architecture and evaluation model of distributed 3D printing based on cloud manufacturing." In 2016 IEEE International Conference on Systems, Man, and Cybernetics (SMC). IEEE, 2016. http://dx.doi.org/10.1109/smc.2016.7844657.

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H. El-Ashry, Amina, Xinran Zhang, Savani Shrotri, Susanna Abler, and Foad Hamidi. "Exploring the Collaboration Possibilities of Distributed Making for Storytelling Using 3D Printing Pens." In CSCW '21: Computer Supported Cooperative Work and Social Computing. New York, NY, USA: ACM, 2021. http://dx.doi.org/10.1145/3462204.3481755.

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Ang, Karl Jin, Katherine S. Riley, Jakob Faber, and Andres F. Arrieta. "Switchable Bistability in 3D Printed Shells With Bio-Inspired Architectures and Spatially Distributed Pre-Stress." In ASME 2018 Conference on Smart Materials, Adaptive Structures and Intelligent Systems. American Society of Mechanical Engineers, 2018. http://dx.doi.org/10.1115/smasis2018-8208.

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Using fused deposition modeling (FDM) 3D printing, we combine a bio-inspired bilayer architecture with distributed pre-stress and the shape memory behavior of polylactic acid (PLA) to manufacture shells with switchable bistability. These shells are stiff and monostable at room temperature, but become elastic and bistable with fast morphing when heated above their glass transition temperature. When cooled back down, the shells retain the configuration they were in at the elevated temperature and return to being stiff and monostable. These programmed deformations result from the careful design and control of how the filament is extruded by the printer and therefore, the resulting directional pre-stress. Parameter studies are presented on how to maximize the pre-stress for this application. The shells are analyzed using nonlinear finite element analysis. By leveraging the vast array of geometries accessible with 3D printing, this method can be extended to complex, multi-domain shells, including bio-inspired designs.
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Reports on the topic "Distributed 3D printing"

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Slattery, Kevin T. Unsettled Aspects of the Digital Thread in Additive Manufacturing. SAE International, November 2021. http://dx.doi.org/10.4271/epr2021026.

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In the past years, additive manufacturing (AM), also known as “3D printing,” has transitioned from rapid prototyping to making parts with potentially long service lives. Now AM provides the ability to have an almost fully digital chain from part design through manufacture and service. Web searches will reveal many statements that AM can help an organization in its pursuit of a “digital thread.” Equally, it is often stated that a digital thread may bring great benefits in improving designs, processes, materials, operations, and the ability to predict failure in a way that maximizes safety and minimizes cost and downtime. Now that the capability is emerging, a whole series of new questions begin to surface as well: •• What data should be stored, how will it be stored, and how much space will it require? •• What is the cost-to-benefit ratio of having a digital thread? •• Who owns the data and who can access and analyze it? •• How long will the data be stored and who will store it? •• How will the data remain readable and usable over the lifetime of a product? •• How much manipulation of disparate data is necessary for analysis without losing information? •• How will the data be secured, and its provenance validated? •• How does an enterprise accomplish configuration management of, and linkages between, data that may be distributed across multiple organizations? •• How do we determine what is “authoritative” in such an environment? These, along with many other questions, mark the combination of AM with a digital thread as an unsettled issue. As the seventh title in a series of SAE EDGE™ Research Reports on AM, this report discusses what the interplay between AM and a digital thread in the mobility industry would look like. This outlook includes the potential benefits and costs, the hurdles that need to be overcome for the combination to be useful, and how an organization can answer these questions to scope and benefit from the combination. This report, like the others in the series, is directed at a product team that is implementing AM. Unlike most of the other reports, putting the infrastructure in place, addressing the issues, and taking full advantage of the benefits will often fall outside of the purview of the product team and at the higher organizational, customer, and industry levels.
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