| Title |
Drag Reduction Method of Deep Pine Components in Soda Saline-Alkali Soil for a Smart City |
| ID_Doc |
42140 |
| Authors |
Wang, JL; Feng, WZ; Zhang, H; Sun, J; Zhao, QL |
| Title |
Drag Reduction Method of Deep Pine Components in Soda Saline-Alkali Soil for a Smart City |
| Year |
2023 |
| Published |
Journal Of Testing And Evaluation, 51, 3 |
| DOI |
10.1520/JTE20220125 |
| Abstract |
The traditional method of deep pine in soda saline-alkali soil has great resistance, so the structure of the deep pine shovel is optimized to reduce the resistance. The deep pine shovel structure model was constructed with bionic technology, and the 3-D bionic model was built with Unigraphics software to imitate the appearance of the paw and toe of the Daurian typhus. The tip of the deep loose shovel imitates the surface structure of the lip base of the head of a dung beetle, which makes the tip of the shovel have good nonstick and wear resistance characteristics. The structural parameters, manufacturing materials, and technology of the spatula tip were determined, and the connection and fixation of the spatula tip and handle were completed by force analysis of the spatula tip and handle. In order to verify the drag reduction effect of the proposed method, a comparative experiment was designed. The experimental results show that the resistance of the designed deep pine shovel is 5,592.8 N when the tillage depth is 25 cm and 7,129 N when the tillage depth is 30 cm. When the tillage speed is 0.2 m/s, the resistance to the deep pine shovel of the drag reduction method in this paper is 521 N. When the tillage speed increases to 1.0 m/s, the resistance of the deep pine shovel in this paper is only 1,035 N. The method in this paper has good drag reduction effect and high value. |
| Author Keywords |
soda saline-alkaline land; deep loose parts; drag reduction method; three-dimensional bionic; model; Unigraphics software |
| Index Keywords |
Index Keywords |
| Document Type |
Other |
| Open Access |
Open Access |
| Source |
Science Citation Index Expanded (SCI-EXPANDED) |
| EID |
WOS:000882969400001 |
| WoS Category |
Materials Science, Characterization & Testing |
| Research Area |
Materials Science |
| PDF |
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