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NOVOTNÝ, P. PÍŠTĚK, V.
Original Title
New efficient methods for powertrain vibration analysis
Type
journal article in Web of Science
Language
English
Original Abstract
The paper presents new efficient computational and experimental approaches to a powertrain vibration analysis. A complex computational model of a powertrain (a virtual engine) is a powerful tool for the solution of structural, thermal, and fatigue problems. The virtual engine results have to provide answers to different questions, mainly those concerning the area of noise, vibration, and fatigue components. The paper also includes a description of a fast algorithm for hydrodynamic solution of a slide bearing incorporating pin tilting influences. The main contribution is the fact that all models, namely those of the cranktrain, valvetrain, gear timing mechanism and fuel injection pump, are solved simultaneously, using a complex computational model. Synchronous solutions can have a fundamental effect on the results of powertrain dynamics solutions. Additionally, it might help influences between powertrain parts to be understood. The virtual engine is assembled as well as numerically solved as a multi-body system. Virtual engine results are validated by measurements on a diesel in-line six-cylinder engine.
Keywords
multi-body system, finite element model, vibrations, dynamics, powertrain, hydrodynamics
Authors
NOVOTNÝ, P.; PÍŠTĚK, V.
RIV year
2010
Released
1. 6. 2010
Publisher
Professional Engineering Publishing
Location
London
ISBN
0954-4070
Periodical
PROCEEDINGS OF THE INSTITUTION OF MECHANICAL ENGINEERS PART D-JOURNAL OF AUTOMOBILE ENGINEERING
Year of study
Number
224
State
United Kingdom of Great Britain and Northern Ireland
Pages from
611
Pages to
629
Pages count
BibTex
@article{BUT49314, author="Pavel {Novotný} and Václav {Píštěk}", title="New efficient methods for powertrain vibration analysis", journal="PROCEEDINGS OF THE INSTITUTION OF MECHANICAL ENGINEERS PART D-JOURNAL OF AUTOMOBILE ENGINEERING", year="2010", volume="2010", number="224", pages="611--629", issn="0954-4070" }