| Autor: |
Jiashu Yang, Bingquan Zuo, Huixin Luo, Weikang Xie |
| Jazyk: |
angličtina |
| Rok vydání: |
2023 |
| Předmět: |
|
| Zdroj: |
Lubricants, Vol 11, Iss 3, p 128 (2023) |
| Druh dokumentu: |
article |
| ISSN: |
2075-4442 |
| DOI: |
10.3390/lubricants11030128 |
| Popis: |
A fast local refinement algorithm based on feature extraction is developed. In the mesh-based Reynolds equation solutions, two refinement features based on the physical parameters of fluid lubrication are firstly defined, namely, pressure value feature and pressure gradient feature. Then, a fast adaptive strategy different from the traditional methods based on residuals or recovery errors is constructed according to the features, which are expected to determine the element needed to be refined. Considering the update requirement of the feature parameters, an adaptive update strategy for feature parameters is also developed. Finally, the feasibility of the scheme is verified on a single-cylinder gasoline engine. Results show that the current algorithm can effectively reduce the computational scale while ensuring the computational accuracy of the mesh-based model, compared with the traditional global and local refinement strategy. |
| Databáze: |
Directory of Open Access Journals |
| Externí odkaz: |
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