چكيده به لاتين
The diaphragm compressors are classified as positive displacement compressors. Due to the static sealing of this devices, unlike many positive-displacement compressors, the gas leakage is close to zero, and the gas does not come into contact with lubricating oils or any material that changes the purity of the gas. Therefore For this reason, this type of compressors is very useful in compressing toxic, explosive, radioactive gases, gases whose purity is very important and gases whose leakage is difficult to control such as hydrogen gas. The compression camber is the most sensitive part of this device, and other parts of the device have simpler technology. The main purpose of this dissertation is to design, optimize and fabricate a compression chamber sample of diaphragm compressors. Optimization is necessary in the design of the compression chamber of this device due to the interaction between the stress on the diaphragm and the volume of gas displacement in each cycle. In this thesis, the maximum radial tension created in the diaphragm is considered as the optimization constraint and the volume of gas displacement in each cycle as the optimization objective function. Given that the diaphragm stress is obtained by numerical solution, the use of evolutionary algorithms, due to the reliance on objective functions and optimization constraints, and the need for non-derivative functions, to optimize the Compression chamber are very beneficial. In this thesis, genetic algorithm has been used for optimization because of its high efficiency in optimizing this kind of problems. After optimizing the compression chamber, the stresses generated at different points of the diaphragm and parts of the upper and lower headers are calculated using finite element methods. Then the 3D design of the machine is made and then different parts are made.