2009 International Conference on Measuring Technology and Mechatronics Automation 2009
DOI: 10.1109/icmtma.2009.519
|View full text |Cite
|
Sign up to set email alerts
|

Analysis on Dynamic Characteristics of Internal Combustion Engine Crankshaft System

Abstract: Bases on the virtual prototyping technology, a CAX integrated analysis environment in the PC platform is built. By the CAX, a simulation model of crankshaft system of internal combustion engine is built .The model is then used to analyze the kinematics and dynamics characteristics of some type crankshaft system. Through comparing the data of simulation result with that of classic literature, the virtual prototyping technology model is testified to reasonable and accurate. Then the real-time boundary load is ac… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...

Citation Types

0
2
0

Year Published

2011
2011
2018
2018

Publication Types

Select...
3
1

Relationship

0
4

Authors

Journals

citations
Cited by 4 publications
(2 citation statements)
references
References 4 publications
0
2
0
Order By: Relevance
“…The failure points generally exist at transition fillet on main journal and crank arm, oil hole and internal defects. And most of the existing researches are to find the maximum stress point, using different analytical methods to achieve the purposes of crank design and optimization [2][3][4][5]. For the structure parameters (main journal diameter and length, crank pin diameter and length, etc.…”
mentioning
confidence: 99%
See 1 more Smart Citation
“…The failure points generally exist at transition fillet on main journal and crank arm, oil hole and internal defects. And most of the existing researches are to find the maximum stress point, using different analytical methods to achieve the purposes of crank design and optimization [2][3][4][5]. For the structure parameters (main journal diameter and length, crank pin diameter and length, etc.…”
mentioning
confidence: 99%
“…orthogonal experimental, which is orthogonal rows; q is orthogonal columns; t is the level number of each selected factor [6]. This experiment uses four factors and two-level orthogonal table L 8 (7) 2 .…”
mentioning
confidence: 99%