Email this article Topology optimization of the front loader’s working equipment
- Authors: Popov Y.G.1
-
Affiliations:
- Yaroslavl State Technical University
- Issue: Vol 91, No 6 (2024)
- Pages: 713-722
- Section: Theory, designing, testing
- URL: https://bakhtiniada.ru/0321-4443/article/view/283046
- DOI: https://doi.org/10.17816/0321-4443-630455
- ID: 283046
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Abstract
BACKGROUND: Topological optimization is widely used in aircraft construction and architecture, but is still of limited use in heavy mechanical engineering. At the same time, the metal cutting for production of working bodies, frames and other structures is often carried out by plasma cutters with computer numerical control. This makes it possible to produce flat parts of almost any complexity. Consequently, there is a field for using the topology optimization methods with no need to use additive technologies to create three-dimensional structures.
OBJECTIVE: Weight reduction of the structural components of the front loader’s working equipment without loss of rigidity and strength, as compared with traditional designs; exploration of the capabilities of topological optimization for solving this problem.
METHODS: The DM-30 loader was used as the base machine. Its work equipment was converted into a set of flat-shaped design volumes, to which the topological optimization methods of the Autodesk Inventor Professional (AIP) software package were applied. As the steel structure of the working equipment is subject to load in different directions during operation, a method of sequential generation of parts’ shapes for each design position and synthesis of all the shapes into a single object was used. The forces acting on the components of the working equipment were determined with dynamic simulation of the design positions for the base machine which made it possible to study the majority of operation cases.
RESULTS: As a result, the weight of the front loader was reduced by 36% while sustaining the same strength characteristics.
CONCLUSIONS: The proposed method of formation the optimized steel structure is capable of using simple topological optimization modules and obtaining up to 40% less metal-consuming spatial structures.
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##article.viewOnOriginalSite##About the authors
Yury G. Popov
Yaroslavl State Technical University
Author for correspondence.
Email: popovyug@ystu.ru
ORCID iD: 0000-0002-7594-6234
SPIN-code: 7378-0410
Cand. Sci. (Engineering), Associate Professor of the Construction and Road Machinery Department
Russian Federation, YaroslavlReferences
- Mee C. Mycenaean Fortifications, Highways, Dams and Canals. By R. Hope Simpson and D. K. Hagel. Am. J. Archaeol. 2007;111(2):374–375. doi: 10.1086/AJS40037280
- Ghabraie K. Applications of Topology Optimization Techniques in Seismic Design of Structure. In: Structural Seismic Design Optimization and Earthquake Engineering. IGI Global; 2012:232–268. doi: 10.4018/978-1-4666-1640-0.ch010
- Yuksel O. An overview on topology optimization methods employed in structural engineering. Kırklareli Univ. J. Eng. Sci. 2019:159-175. doi: 10.34186/klujes.606666
- Bendsøe MP, Sigmund O. Topology Optimization. Springer Berlin Heidelberg; 2004. doi: 10.1007/978-3-662-05086-6
- Meng L., Zhang W., Quan D., et al. From Topology Optimization Design to Additive Manufacturing: Today’s Success and Tomorrow’s Roadmap. Arch Comput Methods Eng. 2020;27(3):805–830. doi: 10.1007/s11831-019-09331-1
- Turner C, Gordon B, Mansfield N, Sayah A. Computer-Aided Design (CAD) Trends in Manufacturing for 2022. Technical report, 2022. doi: 10.13140/RG.2.2.11813.78566
- Boyarkina I.V. Technological mechanics of single-bucket front-end loaders. Omsk: SibADI; 2011. (In Russ.)
- Tsavdaridis KD, Kingman JJ, Toropov V V. Application of structural topology optimisation to perforated steel beams. Comput Struct. 2015;158:108–123. doi: 10.1016/j.compstruc.2015.05.004
- Tyflopoulos E, Steinert M. Messing with boundaries — quantifying the potential loss by pre-set parameters in topology optimization. Procedia CIRP. 2019;84:979–985. doi: 10.1016/j.procir.2019.04.307
- Tyflopoulos E, Tollnes FD, Steinert M, et al. State of the art of generative design and topology optimization and potential research needs. In: DS 91 Proc Nord 2018, Linköping, Sweden, 14th–17th August 2018. Linköping, 2018.
- Barroqueiro B, Andrade-Campos A, Valente RAF. Designing Self Supported SLM Structures via Topology Optimization. J Manuf Mater Process. 2019;3(3):68. doi: 10.3390/jmmp3030068
- Fiebig S., Sellschopp J., Manz H., et al. Future challenges for topology optimization for the us-age in automotive lightweight design technologies. In: Proc. of 11th world congress on structural and multidisciplinary optimization, Sydney, Australia. Sydney; 2015;142.
- Li Y, Yang Q, Chang T, Qin T, et al. Multi-load cases topological optimization by weighted sum method based on load case severity degree and ideality. Adv Mech Eng. 2020;12(8). doi: 10.1177/1687814020947510
- Oest J, Lund E. Topology optimization with finite-life fatigue constraints. Struct Multidiscip Optim. 2017;56(5):1045–1059. doi: 10.1007/s00158-017-1701-9
- Ribeiro TP, Bernardo LFA, Andrade JMA. Topology Optimisation in Structural Steel Design for Additive Manufacturing. Appl Sci. 2021;11(5):2112. doi: 10.3390/app11052112
- ZHU J, ZHOU H, WANG C, et al. A review of topology optimization for additive manufacturing: Status and challenges. Chinese J Aeronaut. 2021;34(1):91-110. doi: 10.1016/j.cja.2020.09.020
- Frantsuzov AA, Shapovalov YI, Vdovin DS. Topology optimization for lifting appliances design. Univ proceedings Volga Reg Tech Sci. 2017;42(2):99–108. (In Russ.) doi: 10.21685/2072-3059-2017-2-9
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