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DESIGN, MODELING AND OPTIMIZATION OF A MULTILAYER DIAPHRAGM USED IN OPTICAL PRESSURE SENSOR

DESIGN, MODELING AND OPTIMIZATION OF A MULTILAYER DIAPHRAGM ...

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2012 IEEE International Conference on Computer Science and Automation Engineering（CSAE 2012）

作者： Amin Khosravi Mahdi Khosravi parastoo nozari Student of Master of Electronic Engineering Arak Azad University Arak Iran Instrumentation engineering forth refinery of south Gas Company Asalooyeh Iran PhD student of electronic Science and Research Tehran Iran

Multilayer diaphragm has been designed and modeled. Commercial Finite element software, ANSYS was implemented to model the diaphragm. This multi-layer diaphragm can be used as both optical sensor and common sensor. A simplified model is introduced to reduce the CPU time. Characteristics of the multilayer diaphragm have been investigated. The important parameters of the multilayer diaphragm have been optimized to improve the performance of a pressure sensor using APDL macro.

关键词： Finite Element ANSYS MEMS optical Pressure Sensors Multilayer Diaphragm

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Use of Artificial Neural Network process analyzers: A case study

Use of Artificial Neural Network process analyzers: A case s...

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2012 IEEE International Conference on Computer Science and Automation Engineering（CSAE 2012）

作者： Mahdi khosravi Amin Khosravi Mehran Khosravi parastoo nozari Instrumentation Department forth South Pars Gas Refining Co. Iranian National gas Company Asalooyeh Iran

In this paper artificial neural network （ANN）, which are known for ability to model non linear system, are used as h s analyzer to predict h s in export gas at South Pars Gas company in south of Iran. The training data has been collected over duration of three years and use to train a neural network to develop based h s analyzer. The results are promising. The FPD become the most commonly used sulfur detector due to its ease-of-use and relatively low cost of operation. It also exhibits moderate sensitivity and selectivity for sulfur. However, the FPD has a number of disadvantages, a key disadvantages is that its response to sulfur is approximately proportional to the square of the mass of the sulfur compound. Nowadays PFDD used as sulfur detector, it is a significant improvement because it can provide better sensitivity and selectivity for sulfur and *** use of PFDD increasing both costs and complexity. The adopted neural network used is a multi layer feed forward, network with Inputs, one output trained using back propagation algorithm. After many trails, it has been found neurons in the hidden layer give an acceptable compromise between network estimation accuracy and network complexity.

关键词： Artificial neural network Gas chromatography hydrogen sulfide

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