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Synthesis and characterization of novel Ti-containing mesoporous silicas support
Peihong Yao,Weiwei Hu,Yan Bao,Cuiling Zhang,Bochao Zhu,Wenxia Liu,Yongxiao Bai 한양대학교 세라믹연구소 2011 Journal of Ceramic Processing Research Vol.12 No.3
Titanium-containing novel mesoporous silicas have been synthesized at ambient temperature by a sol-gel method using amines with alkyl chains of 10-16 carbon atoms as a templating surfactant. An identical synthesis procedure was followed together with the addition of different amounts of titanium (IV) source in the synthesis gels to obtain its titanium-containing silicate gels. Following this synthesis route, it was possible to prepare materials without forming extrawall TiO2. The transparent gel formed as a precursor resulted in a relatively high titanium incorporation in the silicate framework of up to 0.4% Ti. The characterization results show that most Ti4+ are isolated and tetrahedrally incorporated into the framework of the silicate gel. Raman spectra and UV-vis spectra indicated that most Ti atoms were incorporated as isolated Ti sites into the silicate framework, and materials with a higher wt% Ti using relatively more coordination agent to prevent TiO2 forming anatase.
Yao Li,Haiqing Si,Yitong Zong,Xiaojun Wu,Peihong Zhang,Hongyin Jia,Shuqing Xu,Dayong Tang 한국항공우주학회 2021 International Journal of Aeronautical and Space Sc Vol.22 No.6
The process of obtaining flight data from flight test is complex and costly, which makes it difficult to identify aerodynamic parameters. Therefore, Cessna172 flight simulator was used for flight data extraction, which ensures the convenience, efficiency and economy of the test. To obtain aerodynamic model, based on the idea of machine learning, a recurrent neural network was used to process multi-dimensional nonlinear flight test data, and a real-time recursive learning algorithm was proved to be suitable for dynamic training. Due to the large amount of state parameter data generated by aircraft, which will cause the real-time recursive learning algorithm to train slowly. So, Kalman filter algorithm was introduced for system identification. Considering validity analysis, the comparative verification method was used to verify system identification model. Results show that the aircraft aerodynamic and aerodynamic moment models have good applicability and can be popularized and applied.