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Lan Wang

Researcher at Beijing Jiaotong University

Publications -  5
Citations -  108

Lan Wang is an academic researcher from Beijing Jiaotong University. The author has contributed to research in topics: Solenoid valve & Internal flow. The author has an hindex of 3, co-authored 5 publications receiving 71 citations.

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Effects of structure parameters on the static electromagnetic characteristics of solenoid valve for an electronic unit pump

TL;DR: In this article, the effects of driving current and solenoid valve's structure parameters (including iron-core's length, magnetic pole's cross-sectional area, coil turn, coil position, armature's thickness, damping hole's position, damp hole's size, and width of working air gap) on the static electromagnetic characteristics have been numerically investigated.
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Effects of structure parameters on flow and cavitation characteristics within control valve of fuel injector for modern diesel engine

TL;DR: In this paper, a computational study focused on the flow and cavitation phenomena within control valve has been reported and the effects of control valve's structure parameters (including rounded edge, seal cone angle and outflowing control-orifice structure) on the fluid flow and Cavitation characteristics have been investigated in detail.
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Effect of characteristic parameters on the magnetic properties of solenoid valve for high-pressure common rail diesel engine

TL;DR: In this paper, the effects of cross-sectional area of iron core and ampere turn on the static electromagnetic characteristics have been studied through numerical simulation method, and the results show that the four parameters have great effects on the dynamic response characteristics of solenoid valve.
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Effects of Control Valve's Structure Parameters on the Circulation Characteristics for an Electronic Unit Pump

TL;DR: In this article, the transient flow characteristics within control valve during the discharge of an electronic unit pump (EUP) fuel injection system were evaluated using a computational fluid dynamics (CFD) approach.