The efficiency of dust collector is relatively low when dealing with PM2.5. Agglomerating the aerosols under acoustic field is a preliminary method to make the efficiency improve. Acoustic agglomeration of aerosol mainly includes four mechanisms: orthokinetic interaction, hydrodynamic interaction, acoustic wake effect and Brown agglomeration. All mechanisms have their own characteristics with the change of acoustic field. Among witch orthokinetic interaction plays the leading role, while Brown agglomeration is the weakest. Besides, Brown agglomeration is only related to the change of temperature and other air characteristics, thus it changes little under the effect of acoustic field. Compared with experimental methods, simulating the agglomerate process on computer is much faster and more economical. To overcome the flaws of traditional ways in simulation of long-time, hard to make exact hypotheses and difficult to make the formulas close, quadrature method of moments (QMOM) is employed when doing simulations, and taking it into practical use. The results of QMOM show a good match with group method, while it takes less time and does not need to make unnecessary hypotheses. Besides studying the characteristics of acoustic agglomeration, QMOM will also be easy to be used in other fields of studies with similar dynamic equations.
Beam double-well pump unit as a new generation of pumping unit is currently used in mechanical oil production. However, due to a number of pumping system parameters, the conventional design can not achieve the optimal pumping system parameters Using MATLAB simulation optimization algorithms, simulates the structural parameters, rod speed, rod acceleration, rod load, crank torque factors and gear’s crank shaft net torque of the double horse head double-well pumping unit, achieving optimal design of double horse head double-well pumping system, with the existing conventional design of double horse head double-well pumping unit, double horse head double-well pumping unit has a great improving than conventional pumping unit in motion and power dynamic characteristics.
Crank-slider type cluster wells pumping unit is a new generation of energy efficient pumping unit whose structure is simple and it is safe to use. Crank torque is one of the key factors affecting the efficiency and efficiency of the pumping unit, which is closely related to its structural parameters. Using ADAMS mechanical system dynamics simulation software to build a virtual prototype of the slider-crank cluster wells pumping unit, taking which as a basis, carried out virtual test aiming to the length of the crank and connecting rod, which was two factors affecting the crank torque. The result of the study has a guiding significance to the structural design and optimization of slider-crank cluster wells pumping unit.
At present, one pumping corresponding one oil well exploitation pattern has been unable to meet the cluster well oil recovery characteristics of muti-well platform. Single-well pumping unit’s torque factor is too large, resulting in the peak of the net torque of the crank shaft is too large and the fluctuation is too large, which lead to the increasing of the pumping consumption. Slider-crank type cluster well pumping unit can realize a pumping unit driving several wells pumping and make use of the principle of rod load balancing each other, no need of special balance block, having good balance effect, the crankshaft net torque having smaller peak and energy saving effect is obvious .Proposing the cluster well pumping unit design program based on slider- crank type mechanism, establishing the corresponding motion and dynamic analysis equation and analyzing the performance of slider- crank type cluster well pumping unit based on the actual load conditions.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
customersupport@researchsolutions.com
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.
Copyright © 2025 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.