Papers
Topics
Authors
Recent
Gemini 2.5 Flash
Gemini 2.5 Flash
158 tokens/sec
GPT-4o
7 tokens/sec
Gemini 2.5 Pro Pro
45 tokens/sec
o3 Pro
4 tokens/sec
GPT-4.1 Pro
38 tokens/sec
DeepSeek R1 via Azure Pro
28 tokens/sec
2000 character limit reached

A Mobile Additive Manufacturing Robot Framework for Smart Manufacturing Systems (2404.13034v1)

Published 19 Apr 2024 in cs.RO

Abstract: Recent technological innovations in the areas of additive manufacturing and collaborative robotics have paved the way toward realizing the concept of on-demand, personalized production on the shop floor. Additive manufacturing process can provide the capability of printing highly customized parts based on various customer requirements. Autonomous, mobile systems provide the flexibility to move custom parts around the shop floor to various manufacturing operations, as needed by product requirements. In this work, we proposed a mobile additive manufacturing robot framework for merging an additive manufacturing process system with an autonomous mobile base. Two case studies showcase the potential benefits of the proposed mobile additive manufacturing framework. The first case study overviews the effect that a mobile system can have on a fused deposition modeling process. The second case study showcases how integrating a mobile additive manufacturing machine can improve the throughput of the manufacturing system. The major findings of this study are that the proposed mobile robotic AM has increased throughput by taking advantage of the travel time between operations/processing sites. It is particularly suited to perform intermittent operations (e.g., preparing feedstock) during the travel time of the robotic AM. One major implication of this study is its application in manufacturing structural components (e.g., concrete construction, and feedstock preparation during reconnaissance missions) in remote or extreme terrains with on-site or on-demand feedstocks.

Definition Search Book Streamline Icon: https://streamlinehq.com
References (31)
  1. Hu, S. “Evolving paradigms of manufacturing: From mass production to mass customization and personalization.” Procedia Cirp. 7 pp. 3-8 (2013)
  2. Lu, Y. & Ju, F. “Smart manufacturing systems based on cyber-physical manufacturing services (CPMS).” IFAC-PapersOnLine. 50, 15883-15889 (2017)
  3. Kovalenko, I., Moyne, J., Bi, M., Balta, E., Ma, W., Qamsane, Y., Zhu, X., Mao, Z., Tilbury, D. & Barton, K. “Toward an automated learning control architecture for cyber-physical manufacturing systems.” IEEE Access. 10 pp. 38755-38773 (2022)
  4. Kovalenko, I., Barton, K., Moyne, J. & Tilbury, D. “Opportunities and Challenges to Integrate Artificial Intelligence Into Manufacturing Systems: Thoughts From a Panel Discussion [Opinion].” IEEE Robotics & Automation Magazine. 30, 109-112 (2023,6), https://ieeexplore.ieee.org/document/10100942/
  5. Eyers, D., Potter, A., Gosling, J. & Naim, M. “The flexibility of industrial additive manufacturing systems.” International Journal Of Operations & Production Management. 38, 2313-2343 (2018)
  6. Fragapane, G., Ivanov, D., Peron, M., Sgarbossa, F. & Strandhagen, J. “Increasing flexibility and productivity in Industry 4.0 production networks with autonomous mobile robots and smart intralogistics.” Annals Of Operations Research. 308, 125-143 (2022)
  7. Reeves, P., Tuck, C. & Hague, R. “Additive manufacturing for mass customization.” Mass Customization: Engineering And Managing Global Operations. pp. 275-289 (2011)
  8. Guidetti, X., Kühne, M., Nagel, Y., Balta, E., Rupenyan, A. & Lygeros, J. “Data-driven process optimization of fused filament fabrication based on in situ measurements.” IFAC-PapersOnLine. 56, 4713-4718 (2023)
  9. Bromberger, J., Ilg, J. & Miranda, A. “The mainstreaming of additive manufacturing.” McKinsey & Company. (2022)
  10. Fry, N., Richardson, R. & Boyle, J. “Robotic additive manufacturing system for dynamic build orientations.” Rapid Prototyping Journal. 26, 659-667 (2020)
  11. Zhang, G., Mondesir, W., Martinez, C., Li, X., Fuhlbrigge, T. & Bheda, H. “Robotic additive manufacturing along curved surface—A step towards free-form fabrication.” 2015 IEEE International Conference On Robotics And Biomimetics (ROBIO). pp. 721-726 (2015)
  12. Dörfler, K., Dielemans, G., Lachmayer, L., Recker, T., Raatz, A., Lowke, D. & Gerke, M. “Additive Manufacturing using mobile robots: Opportunities and challenges for building construction.” Cement And Concrete Research. 158 pp. 106772 (2022)
  13. Kenger, Z., Koç, Ç. & Özceylan, E. “Integrated disassembly line balancing and routing problem with mobile additive manufacturing.” International Journal Of Production Economics. 235 pp. 108088 (2021)
  14. Coronel Jr, J., Fehr, K., Kelly, D., Espalin, D. & Wicker, R. “Increasing component functionality via multi-process additive manufacturing.” Micro-and Nanotechnology Sensors, Systems, And Applications IX. 10194 pp. 250-257 (2017)
  15. Sauerwein, M., Doubrovski, E., Balkenende, R. & Bakker, C. “Exploring the potential of additive manufacturing for product design in a circular economy.” Journal Of Cleaner Production. 226 pp. 1138-1149 (2019)
  16. Woern, A., Byard, D., Oakley, R., Fiedler, M., Snabes, S. & Pearce, J. “Fused particle fabrication 3-D printing: Recycled materials’ optimization and mechanical properties.” Materials. 11, 1413 (2018)
  17. Sanchez, F., Boudaoud, H., Camargo, M. & Pearce, J. “Plastic recycling in additive manufacturing: A systematic literature review and opportunities for the circular economy.” Journal Of Cleaner Production. 264 pp. 121602 (2020)
  18. Strong, D., Kay, M., Conner, B., Wakefield, T. & Manogharan, G. “Hybrid manufacturing—Locating AM hubs using a two-stage facility location approach.” Additive Manufacturing. 25 pp. 469-476 (2019)
  19. Yang, M., Yang, E., Zante, R., Post, M. & Liu, X. “Collaborative mobile industrial manipulator: a review of system architecture and applications.” 2019 25th International Conference On Automation And Computing (ICAC). pp. 1-6 (2019)
  20. Ansari, J., Hsiao, T., Jafari, M., Varga, B., Farkas, J., Moldován, I., Göppert, A. & Schmitt, R. “5G enabled flexible lineless assembly systems with edge cloud controlled mobile robots.” 2022 IEEE 33rd Annual International Symposium On Personal, Indoor And Mobile Radio Communications (PIMRC). pp. 1419-1424 (2022)
  21. Liu, H., Rahman, M., Rahimi, M., Starr, A., Durazo-Cardenas, I., Ruiz-Carcel, C., Ompusunggu, A., Hall, A. & Anderson, R. “An autonomous rail-road amphibious robotic system for railway maintenance using sensor fusion and mobile manipulator.” Computers And Electrical Engineering. 110 pp. 108874 (2023)
  22. Rocha, F., Garcia, G., Pereira, R., Faria, H., Silva, T., Andrade, R., Barbosa, E., Almeida, A., Cruz, E., Andrade, W. & Others “Rosi: A robotic system for harsh outdoor industrial inspection-system design and applications.” Journal Of Intelligent & Robotic Systems. 103 pp. 1-22 (2021)
  23. Urhal, P., Weightman, A., Diver, C. & Bartolo, P. “Robot assisted additive manufacturing: A review.” Robotics And Computer-Integrated Manufacturing. 59 pp. 335-345 (2019)
  24. Li, L., Haghighi, A. & Yang, Y. “A novel 6-axis hybrid additive-subtractive manufacturing process: Design and case studies.” Journal Of Manufacturing Processes. 33 pp. 150-160 (2018)
  25. Apsley, L., Bodell, C., Danton, J., Reyes-Guerrero, E., Hayden, S., Kapila, S., Lessard, E. & Uhl, R. “Vendor interface for item delivery via 3D manufacturing on demand.” (Google Patents,2018), US Patent 9,858,604
  26. Cui, W., Yang, Y. & Di, L. “Modeling and optimization for static-dynamic routing of a vehicle with additive manufacturing equipment.” International Journal Of Production Economics. 257 pp. 108756 (2023)
  27. Stardog Union, “Stardog: The Enterprise Knowledge Graph Platform.” [Online]. Available: https://www.kuka.com/en-us/products/mobility/mobile-robot-systems/kmr-iiwa
  28. Stardog Union, “Stardog: The Enterprise Knowledge Graph Platform.” [Online]. Available: https://help.prusa3d.com/article/faq-frequently-asked-questions_1932
  29. Ju, F., Li, J. & Deng, W. “Selective assembly system with unreliable Bernoulli machines and finite buffers.” IEEE Transactions On Automation Science And Engineering. 14, 171-184 (2016)
  30. Ju, F. & Li, J. “A Bernoulli model of selective assembly systems.” IFAC Proceedings Volumes. 47, 1692-1697 (2014)
  31. Kovalenko, I., Barton, K., Moyne, J. & Tilbury, D. “Opportunities and Challenges to Integrate Artificial Intelligence Into Manufacturing Systems: Thoughts From a Panel Discussion [Opinion].” IEEE Robotics & Automation Magazine. 30, 109-112 (2023,6)

Summary

We haven't generated a summary for this paper yet.