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The method for identification of damping coefficient of the trucks suspension

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

17 Citations (Scopus)

Abstract

The modern commercial vehicle with a weight of more than 3,5 [Mg] is a complex design solution, which contains many of mechatronic systems. The standard equipment are the ability of the driver assistance systems such as ABS (Anti-Lock Braking System), ESP (Electronic Stability Program), ASR (Acceleration Slip Regulation). The technical condition of the modern car's suspension determines the value of the indicators of road safety. An essential element of the suspension system, whose function is to change the mechanical vibration energy into thermal energy, is the shock absorber. Incorrect functioning of shock absorbers affects the quality of the operation of these systems improve safety. In the case of gradually wears of shock absorber even an experienced driver is able to notice this phenomenon. For this reason it becomes necessary the need for regular technical condition monitoring of dampers. Diagnostic dampers on buses and trucks are limited to the organoleptic examination and propose based on intermediate symptoms such as accelerated tire wear. The paper describes the method for estimating the suspension damping characteristics of commercial vehicle in operating conditions.

Original languageEnglish
Title of host publicationSmart Diagnostics V
PublisherTrans Tech Publications Ltd.
Pages281-289
Number of pages9
ISBN (Print)9783037858899
DOIs
Publication statusPublished - 2014
Event5th International Congress of Technical Diagnostics - Krakow, Poland
Duration: 3 Sept 20125 Sept 2012

Publication series

NameKey Engineering Materials
Volume588
ISSN (Print)1013-9826
ISSN (Electronic)1662-9795

Conference

Conference5th International Congress of Technical Diagnostics
Country/TerritoryPoland
CityKrakow
Period3/09/125/09/12

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well-being
  2. SDG 11 - Sustainable Cities and Communities
    SDG 11 Sustainable Cities and Communities

Keywords

  • Condition monitoring
  • Machine and material dynamics
  • Signal processing of mechanical systems

ASJC Scopus subject areas

  • General Materials Science
  • Mechanics of Materials
  • Mechanical Engineering

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