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The structure and working principle of a self-deigned high pressure electronic pneumatic pressure reducing valve (EPPRV) with slide pilot are introduced.The resistance value formulas and the relationship between the resistance and pressure of three typical pneumatic resistances are obtained.Then,the method of static characteristics analysis only considering pneumatic resistances is proposed,the resistance network from gas supply to load is built up,and the mathematical model is derived from the flow rate formulas and flow conservation equations,with the compressibility of high pressure gas and temperature drop during the expansion considered in the model.Finally,the pilot spool displacement of 1.5 mm at an output pressure of 15MPa and the enlarging operating stroke of the pilot spool are taken as optimization targets,and the optimization is carried out based on genetic algorithm and the model mentioned above.The results show that the static characteristics of the EPPRV are significantly improved.The idea of static characteristics analysis and optimization based on pneumatic resistance network is valuable for the design of pneumatic components or system.
The structure and working principle of a self-deigned high pressure electronic pneumatic pressure reducing valve (EPPRV) with slide pilot are introduced. The resistance value formulas and the relationship between the resistance and pressure of three typical pneumatic resistances are obtained. Chen, the method of static characteristics analysis only considering pneumatic resistances is proposed, the resistance network from gas supply to load is built up, and the mathematical model is derived from the flow rate formulas and flow conservation equations, with the compressibility of high pressure gas and temperature drop during the expansion considered in the model. Finally, the pilot spool displacement of 1.5 mm at an output pressure of 15 MPa and the enlarging operating stroke of the pilot spool are taken as optimization targets, and the optimization is carried out on on genetic algorithm and the model mentioned above the results show that the static characteristics of the EPPRV are significantl y improved. The idea of static characteristics analysis and optimization based on pneumatic resistance network is valuable for the design of pneumatic components or system.