Brazo Robótico de 5 Ejes para Uso Didáctico Parte I: Diseño y Fabricación
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Published:
Dec 21, 2022
Keywords:
Didactic machine, Free software, Free hardware, Numerical control, CNC.
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Abstract
This article aims to design and manufacture a robotic arm with 5 degrees of freedom of free software and hardware, low cost and manufactured mostly by machining and 3D printing processes that allows advanced manufacturing operations such as additive manufacturing through a 3D printing hotend, laser cutting and engraving processes as well as a clamping system for parts. This tool will be designed and manufactured at the Tunja sectional Santo Tomás University, a university in which a rapid prototyping tool is necessary for the academic activities of teachers and students since there is currently no one mainly due to its high cost in the market. . This robotic arm seeks to improve learning processes, integrating the student into an automated manufacturing environment using CNC machines, designing and manufacturing complex parts on this type of machine with a significant impact on learning and teaching this type of technology
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How to Cite
Gutiérrez Arias, G., Aguirre Rodríguez, C., Jiménez Díaz , F., Moreno Ruiz, D., & Sierra Sánchez , N. (2022). Brazo Robótico de 5 Ejes para Uso Didáctico Parte I: Diseño y Fabricación. Ingenio Magno, 13(2), 35 - 41. Retrieved from http://revistas.ustatunja.edu.co/index.php/ingeniomagno/article/view/2593
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Articulos
DECLARATION OF ORGINIALITY OF SUBMITTED ARTICLE
With this document, I/We certify that the article submitted for possible publication in the institutional journal INGENIO MAGNO of the Research Center Alberto Magno CIIAM of the University Santo Tomás, Tunja campus, is entirely of my(our) own writing, and is a product of my(our) direct intellectual contribution to knowledge.
All data and references to completed publications are duly identified with their respective bibliographical entries and in the citations thus highlighted. If any adjustment or correction is needed, I(we) will contact the journal authorities in advance.
Due to that stated above, I(we) declare that the entirety of the submitted material is in accordance with applicable laws regarding intellectual and industrial property, and therefore, I(we) hold myself(ourselves) responsible for any complaint related to it.
If the submitted article is published, I(we) declare that I(we) fully relinquish publishing rights of the article to the University Santo Tomás, Tunja campus. As remuneration for this relinquishment of rights, I(we) declare my(our) agreement to receive two (2) copies of the edition of the journal in which my(our) article appears.
References
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[15] Merckaert K, De Beir A, Adriaens N, El Makrini I, Van Ham R, Vanderborght B, “brazo robótico manipulador de medición y transporte de carga independiente para mejorar la relación carga útil/masa”, Robótica y fabricación integrada por computadora, vol. 53, pp 135-140, 2018.
[16] Erardo Leal-Muñoz, Eduardo Diez, Juan Marquez, Antonio Vizan, “Feasibility of machining using low payload robots”, Procedia Manufacturing, Vol 41, pp 594-601, 2019.
[2] P. R.Nair, H. Khokhawat y R. Chittawadigi, “ACAM: A CNC Simulation Software for Effective Learning”, Procedia Computer Science, Vol 133, pp 823-830, 2018.
[3] E. Valvo, R. Licari, y A. Adornetto. "CNC milling machine simulation in engineering education." International Journal of Online and Biomedical Engineering (iJOE) Vol 8.2, pp 33 – 38, mayo, 2012.
[4] Z. Gani, y S. Sivaloganathan, “Teaching Manufacturing Technology through ’Learning by Doing’ Approach”, ASEE 2018 American society for engineering education annual conference y exposition. 2018, Salt palace convention center, Salt lake City USA.
[5] K. Kawagishi, S. Umetani, K. Tanaka, E. Ametani, Y. Morimoto y K. Takasugi, “Development of Four-Axis 3D Printer with Fused Deposition Modeling Technology”. IJAT vol 11, pp 278-286, 2017.
[6] L. Qian, “Teaching Multi-axis Complex Surface Machining via Simulation and Projects”, Proceedings of the 2005 American Society for Engineering Education Annual Conference & Exposition, Department of Engineering Technology & Management, South Dakota State University, junio, 2006.
[7] W. Zebala, M. Plaza, “Comparative study of 3- and 5-axis CNC centers for free-form machining of difficult-to-cut material”, International journal of Production Economics, pp 345–358, 2014.
[8] N. Días, H. Alvarinhas, A. Quintana, J. Santos, “Web enabled CNC milling machine control”, IFAC Proceedings, Vol 39, pp 759-764, 2006.
[9] André Martins, João Lucas, Hugo Costelha, Carlos Neves,
“Developing an OPC UA Server for CNC Machines”, Procedia Computer Science,Vol 180, pp 561-570, 2021.
[10] Youichi Nonaka, Gábor Erdős, Tamás Kis, Takahiro Nakano, József Váncza,” Scheduling with alternative routings in CNC workshops”,CIRP Annals,Vol 61, pp 449-454, 2012.
[11] Yuanyuan Zhao, Quan Liu, Wenjun Xu, Huiqun Yuan, Ping Lou, “An ontology self-learning approach for CNC machine capability information integration and representation in cloud manufacturing”, Journal of Industrial Information Integration, Vol 25, 2022.
[12] Ashwin Misra, Ayush Sharma, Ghanvir Singh, Ashish Kumar, Vikas Rastogi, “Design and Development ofa Low-Cost CNC Alternative SCARA Robotic Arm”, Procedia Computer Science, Vol 171, pp 2459-2468, 2020.
[13] Agathoklis A. Krimpenis, Vasileios Papapaschos, Evgenios Bontarenko, “HydraX, a 3D printed robotic arm for Hybrid Manufacturing. Part I: Custom Design, Manufacturing and Assembly”, Procedia Manufacturing, Vol 51, pp 103-108, 2020.
[14] Vasileios Papapaschos, Evgenios Bontarenko, Agathoklis A. Krimpenis, “HydraX, a 3D printed robotic arm for Hybrid Manufacturing. Part II: Control, Calibration & Programming, Procedia Manufacturing”, Vol 51, pp 109-115, 2020.
[15] Merckaert K, De Beir A, Adriaens N, El Makrini I, Van Ham R, Vanderborght B, “brazo robótico manipulador de medición y transporte de carga independiente para mejorar la relación carga útil/masa”, Robótica y fabricación integrada por computadora, vol. 53, pp 135-140, 2018.
[16] Erardo Leal-Muñoz, Eduardo Diez, Juan Marquez, Antonio Vizan, “Feasibility of machining using low payload robots”, Procedia Manufacturing, Vol 41, pp 594-601, 2019.