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RISS 인기검색어
- 검색키워드
- 저자 : YanBin He (검색결과 3 건)
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Impact of WS2 Nanoparticles on Nitrile Butadiene Rubber Properties
Qiang He,Guangfei Wang,Bo Zheng,Wei Zhou,Yanbin Zhang 한국섬유공학회 2020 Fibers and polymers Vol.21 No.5
WS2/nitrile butadiene rubber (NBR) nanocomposite was prepared by mechanical blending. The vulcanization andmechanical behavior, contact angle with water, friction and wear properties, as well as thermal stability were measured toinvestigate the influence of nano WS2 content on the NBR. Moreover, scanning electron microscopic (SEM) and elementdispersive spectrum analysis (EDS) were used to analyze the tensile failure mechanism of the WS2/NBR nanocomposite. Results showed that the tensile strength, elongation at break and contact angle with water of the vulcanized rubber reachedtheir maxima when the content of nano WS2 was 10 parts. Furthermore, fast vulcanization rate and the minimum friction andwear properties were also observed. The tear strength, rebound resilience and electrical resistivity decreased with theincrement of WS2 content, while the hardness and thermal stability increased. Investigation on tensile fracture showed thatcrack growth was mainly caused by stress concentration.
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Modeling and Optimization Method of Laser Cladding Based on GA-ACO-RFR and GNSGA-II
Guohua He,Yanbin Du,Qiang Liang,Zhijie Zhou,Linsen Shu 한국정밀공학회 2023 International Journal of Precision Engineering and Vol.10 No.5
Laser cladding is an environmentally friendly and reliable surface modification technology. The quality characteristics of the coating are directly affected by the process parameters of laser cladding. The reasonable selection of process parameters is essential to obtain high-quality coating. In this study, the single-track 15-5PH alloy coating was fabricated on the surface of 12Cr13 stainless steel. In view of the hybrid Genetic Algorithm and Ant Colony Optimization (GA-ACO) can effectively improve the prediction ability and robustness of Random Forest Regression (RFR), a prediction method of cladding layer quality characteristics based on GA-ACO-RFR was proposed. The fast non-dominated ranking genetic algorithm with elite strategy by introducing the Gaussian distribution crossover operator (GNSGA-II) was used to optimize the process parameters of laser cladding. The results showed that the multi-objective optimization method of laser cladding process parameters proposed in this paper can obtain high-quality laser cladding coating. This work demonstrated the potential of the proposed method in laser cladding process prediction and optimization.
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Synthesis and characterization of TiC powders by sol-gel method
Liang Gao,Yun Zhang,Xue Yang,YanBin He,LiHua Song 한양대학교 세라믹연구소 2020 Journal of Ceramic Processing Research Vol.21 No.6
TiC powders were successfully synthesized by carbothermal reduction of Ti-O-C precursor in argon at 1,400 °C for 2 h. Andthe Ti-O-C precursor was formed by sol-gel method using titanium butyrate (Ti(OC4H9)4), fructose (C6H12O6), and acetylacetone (acac). Here, acac was used as chemical modifier to control Ti(OC4H9)4 hydrolysis to obtain stable sol. Furthermore,TG-DSC, XRD, FTIR, Raman, SEM, and EDS were employed to characterize the precursor and TiC powders. Moreover, acacas stabilizer was studied using FTIR when reacted with Ti(OC4H9)4 formed stable six-member ring as a result of the existenceof tautomer, prevent the nucleophilic attack of water, which reduced the hydrolysis rate of Ti(OC4H9)4. Besides, the compositionof TiC phase was further understood by the Raman spectra, and the results showed that the peaks at 403 cm−1, 513 cm−1, and 629 cm−1 were ascribed to the characteristic peaks of TiC. Finally, the photomicrograph revealed an equiaxed shape and theaverage grain size of TiC particles was ca. 1 um. The EDS indicated that the particles contain elements of Ti and carbonaccording to dot and line scan.
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