Method to Improve Powertrain Reliability through Vibration Durability Profile Implementation

This paper presents a method for generating an accelerated vibration driving profile to evaluate the vibration durability of an automotive powertrain system. A key challenge in vibration durability testing is developing a vibration profile in a laboratory environment that accurately reproduces the vibration damage severity and characteristics observed under real-world conditions, taking into account the harsh operating environment of the vehicle. The optimal mounting positions for accelerometers on the target components are determined by analyzing the vibration transfer functions at candidate positions for 3-axis vibration measurements, each corresponding to a different channel. The optimal combination of road profiles was identified by comparing on-road data with special road data and analyzing sensitivity, pattern similarity, and correlations for each vibration channel. Furthermore, an optimization algorithm was applied to minimize errors in fatigue damage estimation and reduce the test duration, leading to the derivation of an optimal accelerated durability test mode. Through a comparative analysis of on-road data and special road data with iterative control to minimize errors, the vibration durability severity error rate was maintained within acceptable limits.

Authors

Publication Details

Journal
Transactions of the Korean Society for Noise and Vibration Engineering
Published
2024-12-20
DOI
https://doi.org/10.5050/ksnve.2024.34.6.690
Primary Topic
Mechanical Failure Analysis and Simulation
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Method to Improve Powertrain Reliability through Vibration Durability Profile Implementation

Hyosung Kim, Gwangmin Park, Yongrae Roh
1 links
Transactions of the Korean Society for Noise and Vibration Engineering
Mechanical Failure Analysis and Simulation
article

Method to Improve Powertrain Reliability through Vibration Durability Profile Implementation

Hyosung Kim, Gwangmin Park, Yongrae Roh
article en

Abstract

This paper presents a method for generating an accelerated vibration driving profile to evaluate the vibration durability of an automotive powertrain system. A key challenge in vibration durability testing is developing a vibration profile in a laboratory environment that accurately reproduces the vibration damage severity and characteristics observed under real-world conditions, taking into account the harsh operating environment of the vehicle. The optimal mounting positions for accelerometers on the target components are determined by analyzing the vibration transfer functions at candidate positions for 3-axis vibration measurements, each corresponding to a different channel. The optimal combination of road profiles was identified by comparing on-road data with special road data and analyzing sensitivity, pattern similarity, and correlations for each vibration channel. Furthermore, an optimization algorithm was applied to minimize errors in fatigue damage estimation and reduce the test duration, leading to the derivation of an optimal accelerated durability test mode. Through a comparative analysis of on-road data and special road data with iterative control to minimize errors, the vibration durability severity error rate was maintained within acceptable limits.

Transactions of the Korean Society for Noise and Vibration EngineeringVol. 34(6)
Affordable and clean energy
Openalex Percentile: Top 75%
Mechanical Failure Analysis and Simulation
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.