Multi-objective optimization of the parameters of TiO2-based ceramic humidity sensors

被引：19
|
作者：
Nenov, Toshko [1 ]
Nenova, Zvezditza [2 ]
机构：
[1] Tech Univ Gabrovo, Dept Automat Informat & Control Syst, Gabrovo 5300, Bulgaria
[2] Tech Univ Gabrovo, Dept Elect Engn, Gabrovo 5300, Bulgaria
来源：
CERAMICS INTERNATIONAL | 2013年 / 39卷 / 04期
关键词：
Electrical properties; TiO2; Sensors; Optimization; SOL-GEL TECHNOLOGY; SENSING PROPERTIES; SENSITIVITY; FILMS;
D O I：
10.1016/j.ceramint.2012.11.040
中图分类号：
TQ174 [陶瓷工业]; TB3 [工程材料学];
学科分类号：
0805 ; 080502 ;
摘要：
An investigation of ceramic humidity sensing elements based on titanium dioxide with dopants of PbO, Bi2O3 and Na2CO3 center dot 10H(2)O has been performed. To study the complex influence of dopants and sintering temperature on the parameters and characteristics of the ceramic humidity sensors, an experimental design has been performed. A multi-objective optimization based on the method of general loss functions was carried out. The optimal composition of dopants and sintering temperature were determined to obtain ceramic sensors with optimal parameters. Experimental samples based on this optimal composition and temperature were prepared and investigated. (C) 2012 Elsevier Ltd and Techna Group S.r.l. All rights reserved.
引用
收藏
页码：4465 / 4473
页数：9
相关论文
共 50 条
  • [21] SOL-GEL PROCESSED TIO2-BASED THIN-FILMS AS INNOVATIVE HUMIDITY SENSORS
    MONTESPERELLI, G
    PUMO, A
    TRAVERSA, E
    GUSMANO, G
    BEARZOTTI, A
    MONTENERO, A
    GNAPPI, G
    SENSORS AND ACTUATORS B-CHEMICAL, 1995, 25 (1-3) : 705 - 709
  • [22] Evolutionary multi-objective optimization without additional parameters
    Deb, Kalyamnoy
    PARAMETER SETTING IN EVOLUTIONARY ALGORITHMS, 2007, 54 : 241 - 257
  • [23] Fuzzy Multi-Objective Optimization of Passive Suspension Parameters
    Song, Chong-zhi
    Zhao, You-qun
    FUZZY INFORMATION AND ENGINEERING, 2010, 2 (01) : 87 - 100
  • [24] Multi-objective optimization of drilling parameters for orthopaedic implants
    Antil, Parvesh
    Kumar Antil, Sundeep
    Prakash, Chander
    Krolczyk, Grzegorz
    Pruncu, Catalin
    MEASUREMENT & CONTROL, 2020, 53 (9-10): : 1902 - 1910
  • [25] Nonlinear multi-objective optimization of machining processes parameters
    ElSayed, J
    ElGizawy, S
    COMPUTER AIDED OPTIMUM DESIGN OF STRUCTURES V, 1997, : 141 - 149
  • [26] Multi-objective optimization for support vector regression parameters
    Wang, Xiaogang
    Tong, Zhen
    Wang, Fuli
    Information, Management and Algorithms, Vol II, 2007, : 194 - 196
  • [27] INKJET TiO2-BASED SENSORS FOR ENVIRONMENTAL MONITORING
    di Diodoro, Bianca
    Bax, Carmen
    Langfelder, Giacomo
    Bernasconi, Roberto
    Magagnin, Luca
    Prudenza, Stefano
    Capelli, Laura
    2021 21ST INTERNATIONAL CONFERENCE ON SOLID-STATE SENSORS, ACTUATORS AND MICROSYSTEMS (TRANSDUCERS), 2021, : 803 - 806
  • [28] Multi-objective optimization for the parameters of vane of gas turbines
    Chai, S
    Gang, XY
    Zhang, YM
    Ma, H
    Qu, QW
    OPTIMIZATION OF STRUCTURAL AND MECHANICAL SYSTEMS, PROCEEDINGS, 1999, : 414 - 421
  • [29] Multi-Objective Robust Optimization for the Traffic Sensors Location Problem
    Fakhouri, Ashkan Ahmadi
    Soltani, Roya
    IEEE ACCESS, 2021, 9 : 6225 - 6238
  • [30] Multi-objective optimization framework for designing photonic crystal sensors
    Safdari, Mohammad Javad
    Mirjalili, Seyed Mohammad
    Bianucci, Pablo
    Zhang, Xiupu
    APPLIED OPTICS, 2018, 57 (08) : 1950 - 1957
12345