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Designing a CAD model and Optimization of a Glass Cleaning Robot Body Part by Generative Design Using Autodesk Fusion 360

Pramiti Tewari1 , Nitesh Pandey2 , Amit Kumar Srivastava3 , Pankaj Gupta4

Section:Research Paper, Product Type: Journal-Paper
Vol.10 , Issue.2 , pp.18-24, Feb-2024


Online published on Feb 28, 2024


Copyright © Pramiti Tewari, Nitesh Pandey, Amit Kumar Srivastava, Pankaj Gupta . This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
 

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IEEE Style Citation: Pramiti Tewari, Nitesh Pandey, Amit Kumar Srivastava, Pankaj Gupta, “Designing a CAD model and Optimization of a Glass Cleaning Robot Body Part by Generative Design Using Autodesk Fusion 360,” International Journal of Scientific Research in Multidisciplinary Studies , Vol.10, Issue.2, pp.18-24, 2024.

MLA Style Citation: Pramiti Tewari, Nitesh Pandey, Amit Kumar Srivastava, Pankaj Gupta "Designing a CAD model and Optimization of a Glass Cleaning Robot Body Part by Generative Design Using Autodesk Fusion 360." International Journal of Scientific Research in Multidisciplinary Studies 10.2 (2024): 18-24.

APA Style Citation: Pramiti Tewari, Nitesh Pandey, Amit Kumar Srivastava, Pankaj Gupta, (2024). Designing a CAD model and Optimization of a Glass Cleaning Robot Body Part by Generative Design Using Autodesk Fusion 360. International Journal of Scientific Research in Multidisciplinary Studies , 10(2), 18-24.

BibTex Style Citation:
@article{Tewari_2024,
author = {Pramiti Tewari, Nitesh Pandey, Amit Kumar Srivastava, Pankaj Gupta},
title = {Designing a CAD model and Optimization of a Glass Cleaning Robot Body Part by Generative Design Using Autodesk Fusion 360},
journal = {International Journal of Scientific Research in Multidisciplinary Studies },
issue_date = {2 2024},
volume = {10},
Issue = {2},
month = {2},
year = {2024},
issn = {2347-2693},
pages = {18-24},
url = {https://www.isroset.org/journal/IJSRMS/full_paper_view.php?paper_id=3400},
publisher = {IJCSE, Indore, INDIA},
}

RIS Style Citation:
TY - JOUR
UR - https://www.isroset.org/journal/IJSRMS/full_paper_view.php?paper_id=3400
TI - Designing a CAD model and Optimization of a Glass Cleaning Robot Body Part by Generative Design Using Autodesk Fusion 360
T2 - International Journal of Scientific Research in Multidisciplinary Studies
AU - Pramiti Tewari, Nitesh Pandey, Amit Kumar Srivastava, Pankaj Gupta
PY - 2024
DA - 2024/02/28
PB - IJCSE, Indore, INDIA
SP - 18-24
IS - 2
VL - 10
SN - 2347-2693
ER -

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Abstract :
Over the years, there have been major developments in the field of robotics, the autonomous cleaning systems was another such advancement. The research paper presents the designing and optimization of the leg of the Smart Glass Cleaning Robot by using the Generative Design module. The main aim of the leg mechanism in a glass cleaning robot is to provide stability and mobility, ensuring the safe and effective operation of the robot on vertical or horizontal glass surfaces. This critical component is fundamental to the robot’s ability to adhere to glass, maintain equilibrium, and navigate while carrying out tasks. In this research paper, the author delves into the significance of the leg mechanism in smart glass cleaning robots, elaborating the component’s role in the efficiency, safety, complexity and precision of the cleaning process. Additionally, the author discusses the challenges associated with the design and potential future advancements in area, aiming to contribute to the ongoing development of glass cleaning robots. The exploration of various modules leads to a manifold reduction in the maintenance costs of the overall machinery.

Key-Words / Index Term :
Adherence, Optimization, Generative Design, Stress analysis, Topology Optimization, CAD, Autodesk

References :
[1] D. Nakhaeinia, S. H. Tang, S. B. M. Noor, and O. Motlagh, “A review of control architectures for autonomous navigation of mobile robots,” International Journal of Physical Sciences, Vol.6, No.2, pp.169–174, 2011. https://doi.org/ 10.5897/ijps10.540.
[2] G. S. Hornby, H. Lipson, and J. B. Pollack, “Evolution of generative design systems for modular physical robots,” IEEE International Conference on Robotics and Automation, Vol 4, pp.4146-4151, 2001. https://doi.org/10.1109/robot.2001.933266.
[3] P. Holmes, R. J. Full, D. Koditschek, and J. Guckenheimer, “The Dynamics of Legged Locomotion: Models, Analyses, and Challenges,” SIAM Review, Vol.48, No.2, pp.207–304, 2006. https://doi.org/10.1137/s0036144504445133.
[4] Z. Li, Q. Xu, and L. M. Tam, “A Survey on Techniques and Applications of Window-Cleaning Robots,” IEEE Access, Vol.9, pp.111518–111532, 2021. https://doi.org/10.1109/access.2021.3103757..
[5] F. Buonamici, M. Carfagni, R. Furferi, Y. Volpe, and L. Governi, “Generative Design: An Explorative Study,” Computer-Aided Design and Applications, Vol.18, No.1, pp.144–155, 2020. https://doi.org/10.14733/cadaps.2021.144-155.
[6] M. Pollák, M. Töröková, and M. Ko?iško, “Utilization of Generative Design Tools in Designing Components Necessary for 3D Printing Done by a Robot,” TEM Journal, Vol.9, No. 3, pp.868–872,2020. https://doi.org/10.18421/tem93-05.
[7] P. U. Bhad and R. B. Buktar, “Multiple novel generative design solutions for various mechanical engineering related products using Autodesk Fusion 360 software,” International Journal of Design Engineering, Vol.11, No.1, pp.1, 2022. https://doi.org/10.1504/ijde.2022.10051857.
[8] A. Agkathidis, “Generative Design Methods - Implementing computational techniques in undergraduate architectural education,” eCAADe Proceedings, Vol.2, No.33 2015. https://doi.org/10.52842/conf.ecaade.2015.2.047.
[9] N. Ath. Kallioras and N. D. Lagaros, “DzAI?: Deep learning based generative design,” Procedia Manufacturing, Vol. 44, pp.591–598, 2020. https://doi.org/10.1016/j.promfg.2020.02.251.
[10] N. Mir-Nasiri, H. S. J, and Md. H. Ali, “Portable Autonomous Window Cleaning Robot,” Procedia Computer Science, Vol. 133, pp.197–204, 2018. https://doi.org/10.1016/j.procs.2018.07.024.
[11] [11]. L. Bruzzone, S. E. Nodehi, and P. Fanghella, “Tracked Locomotion Systems for Ground Mobile Robots: A Review,” Machines, Vol.10, No.8, pp.648, 2022. https://doi.org/10.3390/machines10080648.
[12] B. Aman, “Generative Design for Performance Enhancement, Weight Reduction, and its Industrial Implications,”https://arxiv.org/abs/2007.14138, 2020. https://arxiv.org/abs/2007.14138 (accessed Sep. 16, 2023).
[13] Dr. A. A, “Generative Design as a Design Exploration Method for Rocker-Bogie Mechanism, 2023. https://www.researchgate.net/profile/Kushal-Pradhan 2/publication/373018165_Generative_Design_as_a_Design_Exploration_Method_for_Rocker-Bogie_Mechanism/links/64d465aab684851d3d94cc4b/Generative-Design-as-a-Design-Exploration-Method-for-Rocker-Bogie-Mechanism.pdf
[14] E. A. Castañeda, A. D. Asmat, M. J. Pejerrey, C. M. Jara, L. G. Cabrejos, and J. Cornejo, “Generative Design and DEM-FEA Simulations for Optimization and Validation of a Bio-Inspired Airless Tire-Wheel System for Land-Based Space Planetary Exploration Robot,” IEEE Xplore,, 2022. https://ieeexplore.ieee.org/abstract/document/9959104 (accessed Sep. 17, 2023)..
[15] J. Noh, “ Inverse design meets nanophotonics: From computational optimization to artificial neural network,” 2023. https://www.sciencedirect.com/science/article/abs/pii/B9780323857963000019 (accessed Aug. 09, 2023).
[16] H. K. Mahto, “DESIGN AND ANALYSIS OF THE COMPONENT OF GLASS CLEANING ROBOT USING GENERATIVE DESIGNING MODULE,” Vol.5, No.10, 2023. https://www.doi.org/10.56726/IRJMETS45165

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