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Model-aided optimization and analysis of multi-component catalysts : application to selective hydrogenation of cinnamaldehyde

หน่วยงาน Nanyang Technological University, Singapore

รายละเอียด

ชื่อเรื่อง : Model-aided optimization and analysis of multi-component catalysts : application to selective hydrogenation of cinnamaldehyde
นักวิจัย : Yan, Wenjin , Guo, Zhen , Jia, Xinli , Kariwala, Vinay , Chen, Tao , Yang, Yanhui
คำค้น : -
หน่วยงาน : Nanyang Technological University, Singapore
ผู้ร่วมงาน : -
ปีพิมพ์ : 2555
อ้างอิง : Yan, W., Guo, Z., Jia, X., Kariwala, V., Chen, T.,& Yang, Y. (2012). Model-aided optimization and analysis of multi-component catalysts: Application to selective hydrogenation of cinnamaldehyde. Chemical Engineering Science, 76, 26-36. , 0009-2509 , http://hdl.handle.net/10220/12978 , http://dx.doi.org/10.1016/j.ces.2012.03.049
ที่มา : -
ความเชี่ยวชาญ : -
ความสัมพันธ์ : Chemical engineering science
ขอบเขตของเนื้อหา : -
บทคัดย่อ/คำอธิบาย :

Multi-component catalysts are widely used to exploit the component interactions with the aim to improve catalysis processes. This study applies a model-aided approach to determine the optimal compositions of carbon nanotubes (CNTs) supported Pt–Co–Fe catalysts for selective hydrogenation of cinnamaldehyde. The methodology integrates an iterative response surface methodology (RSM) for optimization, and global sensitivity analysis for interpreting the impact of components and their interactions on the achieved process yield. The RSM encapsulates the state-of-the-art space-filling experimental design, advanced data-based modeling, and model-aided optimization while considering prediction uncertainty. A high performance catalyst, 3.4%Pt-1.3%Co-2.6%Fe/CNT, is identified with 15 experiments, giving rise to 86.1% conversion, 86.4% selectivity and 74.4% yield. The sensitivity analysis identifies the role of the components and their interactions, which is consistent with reported literature results. For verification purpose, selected catalysts are characterized by using powder X-ray diffraction, transmission electron microscopy, and X-ray photoelectron spectroscopy. Overall, this paper establishes the presented methodology as a powerful tool for design of multi-component catalysts.

บรรณานุกรม :
Yan, Wenjin , Guo, Zhen , Jia, Xinli , Kariwala, Vinay , Chen, Tao , Yang, Yanhui . (2555). Model-aided optimization and analysis of multi-component catalysts : application to selective hydrogenation of cinnamaldehyde.
    กรุงเทพมหานคร : Nanyang Technological University, Singapore.
Yan, Wenjin , Guo, Zhen , Jia, Xinli , Kariwala, Vinay , Chen, Tao , Yang, Yanhui . 2555. "Model-aided optimization and analysis of multi-component catalysts : application to selective hydrogenation of cinnamaldehyde".
    กรุงเทพมหานคร : Nanyang Technological University, Singapore.
Yan, Wenjin , Guo, Zhen , Jia, Xinli , Kariwala, Vinay , Chen, Tao , Yang, Yanhui . "Model-aided optimization and analysis of multi-component catalysts : application to selective hydrogenation of cinnamaldehyde."
    กรุงเทพมหานคร : Nanyang Technological University, Singapore, 2555. Print.
Yan, Wenjin , Guo, Zhen , Jia, Xinli , Kariwala, Vinay , Chen, Tao , Yang, Yanhui . Model-aided optimization and analysis of multi-component catalysts : application to selective hydrogenation of cinnamaldehyde. กรุงเทพมหานคร : Nanyang Technological University, Singapore; 2555.