Pd Dopant for SnO2 Based Thick Film Gas Sensor for Detection of LPG using ANN Technique

8 Pages Posted: 24 Jan 2020

See all articles by Amit Gupta

Amit Gupta

NARASARAOPETA ENGINEERING COLLEGE

Dr. Santharaman Kannan

Independent

G. F. Harish Reddy

Independent

Date Written: January 7, 2020

Abstract

In the present paper, studies that it has been made to investigate the sensitivity, response of SnO2 based different Pd-doped thick gas sensor for LPG detection using different non-linear ANN technique at temperature of 350° C. Thick film SnO2 sensor is fictitious on a 1” x 1” alumina substrate. It consists of a SnO2 doped hypersensitive gas layer including different Pd, a pair of electrodes bottom the gas sensing layer serving as a contact pad for sensor. In conjunction with a heater, element designed on the backside of the substrate was printed. The sensitivity of sensor has been studied at different Pd-doped concentration upon exposure LPG for finding the maximum sensitivity at a temperature at 350 c. on the pair of pure and pd doped specimen analysis of conductance and capacitance have been invented by fixed temperature at fixed gas concentration .the sensor sensitivity has been studied at different pd doped at constant temperature of 350° C upon exposure to LPG. The sensitivity and selectivity measurement of sensing ownership are carried out in the range 0- 5000 ppm at 350° C. The maximum response of 72.08% at 350° C was obtained under the explore of 0.5% of LPG. Practical sensitivity of LPG is used to measure the sensitivity of different Pd-doped SnO2 based thick film gas sensors by using ANN algorithm. The performance of ANN models with different non- linear algorithm is evaluated on practical sensitivity of sensor with different network transfer functions. Experimentally, we found that ANN model training algorithm is more suitable for the sensor and sensitivity. ANN as an effective tool in the area of SnO2 based thick film sensor design to find the sensitivity of the LPG gas.

Keywords: Thick film gas sensor, artificial neural network, Levenberg- Marquardt algorithm, random weight / bias rule

Suggested Citation

Gupta, Amit and Kannan, Santharaman and Reddy, G. F. Harish, Pd Dopant for SnO2 Based Thick Film Gas Sensor for Detection of LPG using ANN Technique (January 7, 2020). Proceedings of Industry Interactive Innovations in Science, Engineering & Technology (I3SET2K19), Available at SSRN: https://ssrn.com/abstract=3515140 or http://dx.doi.org/10.2139/ssrn.3515140

Amit Gupta (Contact Author)

NARASARAOPETA ENGINEERING COLLEGE ( email )

109 kausalya tower
South Kamala nagar
HYDERABAD, 500062 500062
India
9785741277 (Phone)
500062 (Fax)

Santharaman Kannan

Independent ( email )

G. F. Harish Reddy

Independent ( email )

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