Enhancing Hand Efficiency of Smart Glass Cleaning Robot through Generative Design Module

Authors: Pankaj Gupta, Amit Kumar Srivastava, Nitesh Pandey

Abstract:

This article explores the domain of generative design in order to enhance the development of robot designs for innovative and efficient maintenance approaches for tall buildings. This study aims to optimize the design of robotic hands by focusing on minimizing mass and volume while ensuring they can withstand the specified pressure with equal strength. The research procedure is structured and systematic. The purpose of optimization is to enhance the efficiency of the robot and reduce the manufacturing expenses. The project seeks to investigate the application of generative design in order to optimize products. Autodesk Fusion 360 offers the capability to immediately apply the generative design functionality to the solid model. The effort involved creating a solid model of the Smart Glass Cleaning Robot and optimizing one of its components, the Hand, using generative techniques. The article has thoroughly examined the designs, outcomes, and procedure. These loads serve as a benchmark for creating designs that can endure the necessary level of pressure and preserve their structural integrity. The efficacy of the generative design process is contingent upon the selection of materials, as different materials possess distinct physical attributes. The study utilizes five different materials, namely Steel, Stainless Steel, Titanium, Aluminum, and CFRP (Carbon Fiber Reinforced Polymer), in order to investigate a range of design possibilities.

Keywords: Generative design, mass and volume optimization, material strength analysis, generative design, smart glass cleaning robot.

References:

[1] Buonamici, F., Carfagni, M., Furferi, R., Volpe, Y., & Governi, L. (2020). Generative design: an explorative study. Computer-Aided Design and Applications, 18(1), 144-155.
[2] Aman, B. (2020). Generative design for performance enhancement, weight reduction, and its industrial implications. arXiv preprint arXiv:2007.14138.
[3] Junk, S., & Burkart, L. (2021). Comparison of CAD systems for generative design for use with additive manufacturing. Procedia CIRP, 100, 577-582.
[4] Pollák, M., Kočiško, M., & Dobránsky, J. (2021, November). Analysis of software solutions for creating models by a generative design approach. In IOP Conference Series: Materials Science and Engineering (Vol. 1199, No. 1, p. 012098). IOP Publishing.
[5] Yosinski, J., Clune, J., Hidalgo, D., Nguyen, S., Zagal, J. C., & Lipson, H. (2011, August). Evolving robot gaits in hardware: the HyperNEAT generative encoding vs. parameter optimization. In ECAL (pp. 890-897).
[6] Zhao, A., Xu, J., Konaković-Luković, M., Hughes, J., Spielberg, A., Rus, D., & Matusik, W. (2020). Robogrammar: graph grammar for terrain-optimized robot design. ACM Transactions on Graphics (TOG), 39(6), 1-16.
[7] Oh, S., Jung, Y., Kim, S., Lee, I., & Kang, N. (2019). Deep generative design: Integration of topology optimization and generative models. Journal of Mechanical Design, 141(11), 111405.
[8] Baboria, M., Kaith, M., & Student, M. T. (2018). Literature review on design and simulation of industrial robotic arm using CAD/CAM software. International Journal of Engineering Science, 16630.
[9] Zhang, H., Zhang, J., Zong, G., Wang, W., & Liu, R. (2006). Sky cleaner 3: A real pneumatic climbing robot for glass-wall cleaning. IEEE Robotics & Automation Magazine, 13(1), 32-41.
[10] Wang, W., Tang, B., Zhang, H., & Zong, G. (2010). Robotic cleaning system for glass facade of high‐rise airport control tower. Industrial Robot: An International Journal, 37(5), 469-478.
[11] Zhang, H., Zhang, J., Wang, W., Liu, R., & Zong, G. (2007). A series of pneumatic glass‐wall cleaning robots for high‐rise buildings. Industrial Robot: An International Journal, 34(2), 150-160.
[12] Mohd Dzulfikry Bin Mohd Aris, M. D. (2010). Design and Analysis of Robotic Device for Cleaning Window Glass Panel in High Rise Building.
[13] Junk, S., & Burkart, L. (2021). Comparison of CAD systems for generative design for use with additive manufacturing. Procedia CIRP, 100, 577-582.
[14] Marcus, W., Martin, L., David, D. & Milan, B. (2023). Generative design of space frames for additive manufacturing technology, The International Journal of Advanced Manufacturing Technology, 127, p. 4619–4639.
[15] Castañeda, E. A., Asmat, A. D., Pejerrey, M. J., Jara, C. M., Cabrejos, L. G., & Cornejo, J. (2022, July). 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. In 2022 International Conference on Advanced Robotics and Mechatronics (ICARM) (pp. 929-936). IEEE.
[16] Mahto, H. K., Pandey, N., Mahalik, V., Shrivastava, A., Pandey, A., Tewari, P., ... & Gupta, P. Design and Analysis of the Component of Glass Cleaning Robot Using Generative Designing Module.