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Robust Design Optimization for the Mechanical Claw of Novel Intelligent Sanitation Vehicles
Technical Paper
2021-01-0839
ISSN: 0148-7191, e-ISSN: 2688-3627
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SAE WCX Digital Summit
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English
Abstract
The mechanical claw is an important functional part of intelligent sanitation vehicles. Its performance significantly influences the functional reliability and structural safety of intelligent sanitation vehicles. The load of the trash changes extensively during the work of the mechanical claw. Hence, a comprehensive consideration of structural uncertainty during designing is needed to meet performance requirements. Uncertainty optimization design should be applied to reduce the sensitivity of structural performance to uncertain factors and ensure the robust performance of the mechanical paw structure. In this study, a numerical model of the mechanical claw of novel intelligent sanitation vehicles is established first in SolidWorks, and a finite element model is built by Optistruct. Based on the analysis of uncertain load factors of the mechanical claw, a robust mathematical model of uncertain factors is established by the Gauss-Chebyshev and Smolyak algorithm. Finally, a robust topology optimization method considering uncertain loads is proposed. Results show the robust optimization design can improve the comprehensive performance of the mechanical claw. This study puts forward a feasible robust design idea for the mechanical claw of novel intelligent sanitation vehicles.
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Xu, X., Chen, X., Liu, Z., Chen, J. et al., "Robust Design Optimization for the Mechanical Claw of Novel Intelligent Sanitation Vehicles," SAE Technical Paper 2021-01-0839, 2021, https://doi.org/10.4271/2021-01-0839.Data Sets - Support Documents
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References
- Michael , A. , Hiroji , T. , Glynn , H. et al. The Advanced Spaceborne Thermal Emission and Reflection Radiometer (ASTER) after Fifteen Years: Review of Global Products International Journal of Applied Earth Observation and Geoinformation 38 292 301 2015 10.1016/j.jag.2015.01.013
- Syeda , M.H. , Joseph , S. , Eunsu , L. et al. Effective Municipal Solid Waste Collection Using Geospatial Information Systems for Transportation: A Case Study of Two Metropolitan Cities in Pakistan Research in Transportation Economics 84 100950 2020 10.1016/j.retrec.2020.100950
- Bhamare , S. , Rathore , A. , and Yadav , O. A Multi-Objective Reliability-Based Robust Design Optimization Framework Using Hybrid Quality Loss Function SAE Technical Paper 2008-01-0378 2008 https://doi.org/10.4271/2008-01-0378
- Khodaygan , S. and Sharafi , M. A New Approach for the Reliability-Based Robust Design Optimization of Mechanical Systems under the Uncertain Conditions SAE Technical Paper 2018-01-0615 2018 https://doi.org/10.4271/2018-01-0615
- Noziglia , F. , Rigato , P. , Cestino , E. , Frulla , G. et al. Efficient Procedure for Robust Optimal Design of Aerospace Laminated Structures SAE Technical Paper 2017-01-2058 2017 https://doi.org/10.4271/2017-01-2058
- Li , F. , Sun , G. , Huang , X. et al. Multiobjective Robust Optimization for Crashworthiness Design of Foam Filled Thin-Walled Structures with Random and Interval Uncertainties Engineering Structures 88 Apr.1 111 124 2015 10.1016/j.engstruct.2015.01.023
- Youn , B. , Choi , K. , and Yi , K. Reliability-Based Robust Design Optimization using the Performance Moment Integration Method and Case Study of Engine Gasket-Sealing Problem SAE Technical Paper 2005-01-0812 2005 https://doi.org/10.4271/2005-01-0812
- Zhang , L. Robust Analysis and Optimization Design of Double Front Axle Steering System SAE International Journal of Passenger Cars - Mechanical Systems 7 1 7 14 2014 https://doi.org/10.4271/2013-01-9124
- Weng , J. Robust Design Optimization of Dynamic Performances of the Automobile Suspension with Uncertainty SAE Technical Paper 2010-01-0910 2010 https://doi.org/10.4271/2010-01-0910
- Ghanmi , S. , Guedri , M. , Bouazizi , M.L. et al. Robust Multi-Objective and Multi-Level Optimization of Complex Mechanical Structures Mechanical Systems & Signal Processing 25 7 2444 2461 2011 10.1016/j.ymssp.2011.02.011
- Zheng , Y. , Da , D. , Li , H. et al. Robust Topology Optimization for Multi-Material Structures under Interval Uncertainty Applied Mathematical Modelling 78 627 647 2020 10.1016/j.apm.2019.10.019
- Gao , Y. , Xu , Y. , Wu , C. , and Fang , J. Topology Optimization of Metal and Carbon Fiber Reinforced Plastic (CFRP) Structures under Loading Uncertainties SAE Technical Paper 2019-01-0709 2019 https://doi.org/10.4271/2019-01-0709
- Sun , G. , Li , G. , Zhou , S. et al. Crashworthiness Design of Vehicle by Using Multiobjective Robust Optimization Structural & Multidisciplinary Optimization 44 99 110 2011 10.1007/s00158-010-0601-z
- Gabrel , V. , Murat , C. , and Thiele , A. Recent Advances in Robust Optimization: An Overview European Journal of Operational Research 235 3 471 483 2014 10.1016/j.ejor.2013.09.036
- Lee , S.H. , Chen , W. , and Kwak , B.M. Robust Design with Arbitrary Distributions using Gauss-Type Quadrature Formula Structural & Multidiplinary Optimization 39 3 227 243 2009 10.1007/s00158-008-0328-2