Journal of Liaoning Petrochemical University
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Effect of Additives on the Performance of Polyurea Lubricating Grease
Xiaohui LI, Ze ZHANG, Lulu YANG, Weiqi WU, Xiaochen REN, Weihua MA, Guangtao LI
Abstract454)   HTML13)    PDF (2548KB)(58)      

The direct method was used to prepare polyurea lubricating grease, and the effects of several different types of additives on the extreme pressure and anti?wear performance for polyurea lubricating grease were investigated and studied. The results demonstrate that several types of additives have good compatibility with polyurea grease, and they have little undesirable influence on colloidal stability of polyurea grease, and they can also enhance thermal stability of polyurea grease. Moreover, the addition of additives can significantly improve the performance of extreme pressure and wear resistance for polyurea lubricating grease. And in the experiments, it was found that the composite multifunctional additive containing sulfur and phosphorus has a relatively better effect on improving the extreme pressure and wear resistance of polyurea lubricating grease. The research results can provide a reference basis for the improvement of extreme pressure and anti?wear property for polyurea lubricating grease, achieving a relatively optimized comprehensive performance, thereby enhancing its practical utilization performance under the harsh working conditions for high load and high speed mechanical equipment.

2024, 44 (2): 7-13. DOI: 10.12422/j.issn.1672-6952.2024.02.002
Research on Personalized Web Search Algorithm Based on Vector Space Model
Lu Yang, Shi Yuanbo
Abstract196)   HTML    PDF (768KB)(122)      
In order to solve the problem that different users have different expectations for search results in information retrieval, a personalized web search algorithm based on vector space model was proposed.In view of the different interests of users, user portraits could more comprehensively express the characteristics of user interests. The vector space model was used to establish user portraits to express user interests, combined with traditional web page ranking algorithms to obtain the final web page ranking results. Different web search results could be obtained for different users, and the number of web pages that meet user interests increases in the top ranking web pages. Through the analysis of the experimental results of simulated web search, it was proved that this algorithm was better than the traditional PageRank algorithm in personalized web search.
2021, 41 (2): 92-96. DOI: 10.3969/j.issn.1672-6952.2021.02.016