Analysis of the dynamic performances of a piston-crankshaft system considering oil-film forces reconstructed by a neural network

被引：8

作者：

Meng, F. M. ^{[1
]}

Hu, Y. Z.

Wang, H.

Zhang, Y. Y.

机构：

[1] Tsinghua Univ, Sch Mech Engn, State Key Lab Tribol, Beijing 100084, Peoples R China

[2] Xi An Jiao Tong Univ, Theory Lubricat & Bearing Inst, Xian 710049, Peoples R China

来源：

PROCEEDINGS OF THE INSTITUTION OF MECHANICAL ENGINEERS PART D-JOURNAL OF AUTOMOBILE ENGINEERING | 2007年 / 221卷 / D2期

关键词：

dynamic performance; piston-crankshaft system; radial base function neural network; reconstruction; oil-film forces;

D O I：

10.1243/09544070JAUTO256

中图分类号：

TH [机械、仪表工业];

学科分类号：

0802 ;

摘要：

A dynamic modelling method for the piston-crankshaft system in an internal combustion engine, including two-dimensional oil-film forces of the piston pack, was proposed. In order to obtain the dynamic performance of this system, the dynamic equations for the components in the system were presented. Meanwhile, a radial base function neural network technology was employed to reconstruct the two-dimensional oil-film forces, which are then coupled to the presented dynamic equations for the components. The validity of the proposed modelling method for the piston-crankshaft system was demonstrated, and conclusions concerning the dynamic performance of the system were drawn.

引用

页码：171 / 180

页数：10

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