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Numerical Analysis of Stainless Steel Diaphragm for Low Pressure Measurement

EasyChair Preprint no. 644

4 pagesDate: November 20, 2018

Abstract

Metal membranes are the thin circular plates. For transducers and pressure transmitters, it is assumed that the membrane is loaded with uniform load over the entire surface. In case that the membrane is stiffened over the edge, then it is called a diaphragm. In general, the membranes are divided into flat and corrugated. Corrugated diaphragms can resist much higher pressure than flat diaphragms and they are used mainly in the low pressure area. In contact with various aggressive fluids, mebranes are most commonly made of high alloy austenitic steel, which have high corrosion resistance, have good spring properties and they are stable at diferent temperatures. The deflection analyses of corrugated diaphragms are very important in sensitivity of transducers/transmitters. The application of corrugated diaphragms gives possibility to control sensitivity of thin diaphragms by geometrical parameters. In this paper numerical and experimental structural analysis of a thin corrugated diaphragm 19 mm diameter, with variable material thickness and corrugation number is presented. Experimental tests are conducted on a corrugated stainless steel (AISI 316) diaphragm. The measured deflections are compared with numerical results in ANSYS software package. The results showed small deviations between numerical and experimental data, which is very important for further diaphragm application of measurement instruments.

Keyphrases: ANSYS, corrugated diaphragm, Deflection, geometrical parameters

BibTeX entry
BibTeX does not have the right entry for preprints. This is a hack for producing the correct reference:
@Booklet{EasyChair:644,
  author = {Bojan Perić and Aleksandar Simonović and Slobodan Stupar and Toni Ivanov and Miloš Vorkapić and Jelena Svorcan and Ognjen Peković},
  title = {Numerical Analysis of Stainless Steel Diaphragm for Low Pressure Measurement},
  howpublished = {EasyChair Preprint no. 644},
  doi = {10.29007/zsz9},
  year = {EasyChair, 2018}}
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