|
|
|
|
|
|
|
|
Contact:Mr.Deng 18929104529 Mr.Zhou 18929169595
Miss Zhang 18929104530
Toll Free: 4000661106
Tel: 076921664818 (16 lines)
Fax: 076921664685
E-mail: ybl_kj@163.com
Website: http://www.dgybl.com
Address: Dongguan City Wanjiang Dafen Industrial Zone sand Kiln Lane 31, Lane ten
|
|
|
|
|
|
|
|
Working performance and main work supercharger | 1 and the working process of the internal pressure is analyzed, and the working process of the combination of mechanical supercharger turbo engine on mechanical properties indexand calculation, and is verified by simulation. Experimental data shows that, through the supercharged, can make the engine power and torque promoted,
2, the combination of the basic conditions, the combustion of turbo engine and the matching problem pressurization system are analyzed, and suitable for the supercharged matching scheme. By the analysis of engine that is the main factors affecting the pressurized mechanical pressure, flow turbocharger job performance parameters, etc.
3, analyzed the basic performance parameters of the supercharger and combining the traditional mechanical rotor type supercharger according to actual needs, application, design a kind of simplified involute type line rotor,
4, combining traditional lines and lines of geometric parameters of the rotor, which influence the mechanical performance of important factor supercharger in air leakage and pulse, the mathematical model and numerical calculation, obtained the corresponding simulation results, and analyzed and corresponding structure.
Five, the mechanical performance test, the supercharger LabVIEW virtual instrument platform of combination of mechanical procedure, the performance parameters of the supercharger experimental measurement and analysis and verify the correctness of the theory analysis. Experimental results show that based on the improved structure, mechanical supercharger basically eliminate the phenomenon of mechanical supercharger pulsing air,
6 and the technology of artificial neural network, with experimental data for the samples, the performance of mechanical supercharger is forecasted. Through comparing the BP neural network and generalized regression neural network two neural network model for prediction model of mechanical supercharger, can predict the performance, mechanical supercharger experimental process simplification and design of the internal pressure.
This article reprinted http://www.dgybl.com from (the), |
| 【 Views:827 】 【 add time:2010-8-19 8:56:02 】 【 close 】 |
|
|