Multi-Set MMV Topology Optimization Approach for Sliding Surface Texture Design

IF 2.7 3区 工程技术 Q1 ENGINEERING, MULTIDISCIPLINARY
Weisheng Zhang, Honghao Tian, Bao Zhu, Xu Guo, Sung-Kie Youn
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引用次数: 0

Abstract

Surface texture is of great practical importance in applications due to its significant effect on the tribological performance of the sliding surface. In the present work, an explicit topology optimization framework for surface texture design is proposed. For this purpose, the moving morphable void (MMV)-based explicit topology optimization approach is used to maximize the load carrying capacity (LCC) of the bearing by optimizing the distribution of the surface texture. A multi-set of voids is established to describe the multi-film thickness of the texture. By using the explicit geometry information in MMV, the present work can be seamlessly linked to the CAD system, resulting in the accurate processing of complex surface textures. Besides some numerical examples to demonstrate the effectiveness of the proposed approach, experimental tests are also provided to verify the validity of the optimization results.

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来源期刊
CiteScore
5.70
自引率
6.90%
发文量
276
审稿时长
5.3 months
期刊介绍: The International Journal for Numerical Methods in Engineering publishes original papers describing significant, novel developments in numerical methods that are applicable to engineering problems. The Journal is known for welcoming contributions in a wide range of areas in computational engineering, including computational issues in model reduction, uncertainty quantification, verification and validation, inverse analysis and stochastic methods, optimisation, element technology, solution techniques and parallel computing, damage and fracture, mechanics at micro and nano-scales, low-speed fluid dynamics, fluid-structure interaction, electromagnetics, coupled diffusion phenomena, and error estimation and mesh generation. It is emphasized that this is by no means an exhaustive list, and particularly papers on multi-scale, multi-physics or multi-disciplinary problems, and on new, emerging topics are welcome.
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