Abstract
This paper discusses worm gear optimization, with a focus on speed ratio in a two stage worm-gear reducer, based on the conditions of equal contact stress, oil-immersed lubrication, and minimum volume. Tables, graphs, and calculations are used to present research findings. Therefore, a reasonable speed ratio can be chosen throughout the design process to achieve the best operating capacity while consuming the minimum material mass.
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References
Alexandru, A.T.: Worm gears with optimized main geometrical parameters and their efficiency. Mechanika, Nr.1.81 (2010)
Chandrasekaran, M., Padmanabhan, S., Srinivasa Raman, V.: Swarm intelligence optimization of worm and worm wheel design. ARPN J. Eng. Appl. Sci. 10(13) (2015). ISSN 1819-6608
Chong, T.H., Bae, I., Park, G.-J: A new and generalized methodology to design multi-stage gear drives by integrating the dimensional and the configuration design process. Mech. Mach. Theory 37(3), 295–310 (2002)
Chul Kim, S., Gon Moon, S., Hyeon Sohn, J., Jun Park, Y., Ho Choi, C., Ho Lee, G.: Macro geometry optimization of a helical gear pair for mass efficiency and transmission error. Mech. Mach. Theory 144 (2020)
Dudas, I.: The Theory and Practice of Worm Gear Drives. British Library Cataloguing in Publication Data (2005)
Elkholy, A.H., Falah, A.H.: Worm gearing design improvement by considering varying mesh stiffness. Int. J. Mech. Mechatron. Eng. 9(9)
Godwin Raja Ebenezer, N., Saravanan, R., Ramabalan, S., Navaneethasanthakumar, S.: Worm gear drive optimization considering industry constraints based on nature inspired algorithms. World Sci. News (WSN) 87, 205–221 (2017). EISSN 2392-2192
Golabi, S.I., Fesharaki, J.J., Yazdipoor, M.: Gear train optimization based on minimum volume/weight design. Mech. Mach. Theory 73, 197–217 (2014)
Grote, K.-H., Antonsson, E.: Springer Handbook of Mechanical Engineering (2009)
ISO 6336-2:2006: Calculation of load capacity of spur and helical gears—Part 2: Calculation of surface durability (pitting) (2006)
Krol, O., Sokolov, V.: Selection of worm gearing optimal structure for machine rotary table. Diagnostyka 22(1) (2021)
Marjanovic, N., Isailovic, B., Marjanovic, V., Milojevic, Z., Blagojevic, M., Bojic, M.: A practical approach to the optimization of gear trains with spur gears. Mech. Mach. Theory 53, 1–16 (2012)
Miltenović, A., Banić, M., Miltenović, D.: Load capacity of worm gear transmission from aspect of maximal use of available resources. MATEC Web Conf. 121 (2017)
Mogal, Y.K., Wakchaure, V.D.: A multiobjective optimization approach for design of worm and worm wheel based on genetic algorithm. Bonfring Int. J. Man Mach. Interface 3(1) (2013)
Nguyen, H.L.: Fundamentals of Machine Design, 1st edn. Publishing House, Vietnam National University of Ho Chi Minh City (2020)
Padmanabhan, S., Chandrasekaran, M., Srinivasa Raman, V.: Design optimization of worm gear drive. Int. J. Min. Metall. Mech. Eng. (IJMMME) 1(1) (2013). ISSN 2320-4060
Park, N., Sohn, J., Baek, G., Oh, C.: Optimal design of worm gear system using in CVVL for automobiles. In: Proceedings of ASME 2013 International Mechanical Engineering Congress & Exposition (IMECE 2013), November 15–21, San Diego, CA, USA (2013)
Patil, M.B., Ramkumar, P., Shankar, K.: Multi-objective optimization of two-stage helical gearbox with tribological constraints. Mech. Mach. Theory 138, 38–57 (2019)
Rai, P., Barman, A.G.: Design optimization of worm gear drive with reduced power loss. IOP Conf. Ser. Mater. Sci. Eng. 635 (2019)
Su, D., Peng, W.: Optimum design of worm gears with multiple computer aided techniques. Proc. ICCES 08, 575–658 (2008)
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We acknowledge Ho Chi Minh City University of Technology (HCMUT), VNU-HCM for supporting this study.
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Anh, L.T., Loc, N.H. (2023). Calculation and Optimization of the Two Stage Worm-Gear Reducers Speed Ratio. In: Agarwal, R.K. (eds) Recent Advances in Manufacturing Engineering and Processes. ICMEP 2021. Lecture Notes in Mechanical Engineering. Springer, Singapore. https://doi.org/10.1007/978-981-19-6841-9_5
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DOI: https://doi.org/10.1007/978-981-19-6841-9_5
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