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i, on behalf of my mother mardiana majid, former employee of on semiconductor corporation in malaysia.
saya, mewakili ibu saya mardiana majid, bekas pekerja on semiconductor corporation in malaysia. disini saya lampirkan borang pengaktifan akaun bagi employee stock plan ibu saya
tin oxide (sno2) gas sensor is the most commonly used metal oxide semiconductor gas sensor in various industries due to its high stability and reliability. hence, a mathematical model is required to simulate the responses of the sno2 gas sensor when it is exposed to a variety of operating conditions and targeted gases. in the present study, the mathematical model is developed based on knudsen diffusion model which is commonly used to describe gas diffusion mechanism. previous researches had shown that the sensing performance of sno2 is influenced by some factors, such as operating temperature, targeted gas concentration, film thickness and pore radius of the sensing film. on top of this, in order to determine the reliability and feasibility of the develop mathematical model, matlab simulation is used to study the effects of targeted gas (benzene and toluene) concentration (c_s) and film thickness (l) on the sensitivity of sno2 gas sensor (s). from the results obtained, the sensitivity of the gas sensor will increase with the target gas concentration until the maximum adsorption limit is reached. at the same time, the results showed a lower snesitivity when a thicker sensing film is used. both of these results confirmed that the developed mathematical model matches the validity of the theory. besides that, sno2 gas sensor always has a better sensig performance toward toluene than benzene, which is due to the higher reactivity of toluene as compared to benzene.
最終更新： 2021-06-06
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