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26. Synergistic Enhancement on the Sensing Performance of Mixed Potential NH3Sensors by Fe and Mo Codoping into BiVO4

Author

Yang, Lin, Zhang, Yiran, Zheng, Haonan, Wu, Chunping, Wang, Junfang, Chen, Ting, and Lin, He

Abstract

Mixed potential ammonia (NH3) sensors with the Fe- and Mo-codoped BiVO4sensing electrode and Ag reference electrode based on the yttria-stabilized zirconia solid electrolyte were developed. Fe- and Mo-doped BiVO4sensing materials were prepared using solution combustion synthesis and then characterized by X-ray diffraction (XRD), scanning electron microscopy (SEM), energy-dispersive spectroscopy (EDS), and X-ray photoelectron spectroscopy (XPS). It was observed that Fe doping could greatly improve the response rate, while Mo doping could enhance the response signal (ΔU) and sensitivity. Based on the optimal doping ratio of Fe and Mo each, the synergistic enhancement of the performance by Fe and Mo codoping was investigated. The sensor coated by BiV0.75Fe0.2Mo0.05Oδmaterials exhibited a prominent sensing performance to a low concentration of 10–50 ppm of NH3at 525 °C with the outstanding sensitivity of −148.988 mV/decade. Fe and Mo doping also improved the selectivity of the sensor to NH3, with the relative deviations less than ±8% of other typical gases’ interference including NO, NO2, CO, CO2, and CH4. Besides, the sensor showed good resistance to fluctuations in the oxygen concentration and favorable stability against changes in the water vapor concentration. In addition, the sensor also exhibited good long-term stability. The mixed potential response mechanism was further discussed and analyzed through polarization curves as well as through gas chromatography and infrared absorption spectroscopy.

Published
2024
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32. ADAPTIVE GROWTH TECHNIQUE OF TRUSS STRUCTURE BASED ON MMA

Author

HUA Min, DING XiaoHong, and WU ChunPing

Subjects
Adaptive growth technique, Method of moving asymptotes, Truss structure, Topology optimization, Mechanical engineering and machinery, TJ1-1570, Materials of engineering and construction. Mechanics of materials, TA401-492
Abstract

The existing adaptive growth technique deducted the optimization iteration formula according to the condition named Karush-Kuhn-Tucker condition. It is high efficiency and good, which is aimed to strain energy and bound to the volume against optimization problem of stiffener distribution for plate and shell structures. However, different optimization iteration formula, which deducted by different kinds of problem, is poor and difficult to generalize, especially for the optimization problems with more than one constraint. Against with the lack of adaptive growth technique, a new method that is moving asymptotes（MMA） is suggested by this article and the adaptive growth technique is applied to truss structure topology optimization design. The design of typical truss structures with single constraint and multiple constraints is discussed, and the multi load cases are studied. The results of numerical examples show that the proposed method can obtain clear information of rod distribution and dimension, and has high design efficiency and good applicability. It is convenient for practical machining and has a good application prospect.

Published
2019
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35. MACHINE TOOL SPINDLE PERFORMANCE DEGRADATION RELIABILITY STUDY BASED ON ACOUSTIC EMISSION MONITORING

Author

CHI YuLun, ZHONG XueLian, WU ChunPing, and LI HaoLin

Subjects
Acoustic emission, Machine tool spindle, Performance degradation, Reliability, Mechanical engineering and machinery, TJ1-1570, Materials of engineering and construction. Mechanics of materials, TA401-492
Abstract

As one of core components of machine tool,the reliability of spindle is very important for improving machine tool quality. According to spindle performance degradation mechanism analysis,the acoustic emission signal is used to monitor and study the performance state of spindle. A reliability evaluation method is proposed for the long-life and less failure sample problem based on machine tool degradation path models. At last,this method is used to solve the machine tool spindle reliability assessment,which integrates virtual augmented sample method. It effectiveness and practicability is proved through experiment results.

Published
2017
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