Study on real-time wear measurement of piston-ring and cylinder-bore in an engine using thin layer activation method

Huang, Donghui; Wang, Pingsheng; Tian, Wei; Dequan, Zhao; Cao, Guangzhou; Bangfa, Ni; Zhang, Xun; Liang, Lin; Zhang, Guiying; Cunxiong, Liu; Li, Dehong

doi:10.1016/j.apradiso.2007.11.014

Cited by 9 publications

(2 citation statements)

References 14 publications

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“…In addition, wear impairs the hydrodynamic support of the piston rings and thus increases the risk of a fatal engine failure [22]. There are multiple on-site and external methodologies that characterize the surface structure including stylus instruments, white light interferometry [23], scanning electron microscopes, bore measurements, thin layer activation [24] and 3D optical confocal measurements [23,25]. Various methods have been proposed for cylinder liner wear assessment including component mass losses [26], precise coordinate measurements [27], volume losses [28,29] and repeated measurements of component positions [30].…”

Section: Cylinder Liner Wear Assessmentmentioning

confidence: 99%

Surface Topography Characterization Using a Simple Optical Device and Artificial Neural Networks

Angermann¹,

Haltmeier²,

Laubichler³

et al. 2021

Preprint

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Digitalization offers a large number of promising tools for large internal combustion engines such as condition monitoring or condition-based maintenance. This includes the status evaluation of key engine components such as cylinder liners, whose inner surfaces are subject to constant wear due to their movement relative to the pistons. Existing state-of-theart methods for quantifying wear require disassembly and cutting of the examined liner followed by a high-resolution microscopic surface depth measurement that quantitatively evaluates wear based on bearing load curves (also known as Abbott-Firestone curves). Such reference methods are destructive, time-consuming and costly. The goal of the research presented here is to develop simpler and nondestructive yet reliable and meaningful methods for evaluating wear condition. A deep-learning framework is proposed that allows computation of the surface-representing bearing load curves from reflection RGB images of the liner surface that can be collected with a simple handheld device, without the need to remove and destroy the investigated liner. For this purpose, a convolutional neural network is trained to estimate the bearing load curve of the corresponding depth profile, which in turn can be used for further wear evaluation.

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Section: Cylinder Liner Wear Assessmentmentioning

confidence: 99%

Surface Topography Characterization Using a Simple Optical Device and Artificial Neural Networks

Angermann¹,

Haltmeier²,

Laubichler³

et al. 2021

Preprint

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“…The techniques used in situ and with online measurements are based on different principles and include the thin layer activation method (TLA), online visual ferrography (OLVF), optical counter sensors, and inductive sensors [5,6]. The TLA technique is based on the gamma ray detection principle and consists of pre-treating the surfaces of the engine to be measured by adding a layer of radiotracers; during the engine operation and when wear processes occur, wear debris particles are generated and released to the oil, which are then quantified with a gamma ray detector [7][8][9]. The main advantages of this online measurement technique are its high sensitivity and that there is no need to disassemble the engine; however, the associated costs to apply the technique are high, along with the awareness of additional safety concerns related to working with radioactivity [10].…”

Section: Introductionmentioning

confidence: 99%

Application of a Wear Debris Detection System to Investigate Wear Phenomena during Running-In of a Gasoline Engine

Bastidas

Allmaier

2023

Lubricants

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When a tribological system is operated for the first time, the first hours of operation are of the utmost importance as the surfaces of the contacting elements mate to each other, involving significant wear processes until the surfaces reach stable topological characteristics. This initial phase in a combustion engine is known as running-in and is of critical importance in the study of friction and wear phenomena. Despite this, there is little information in the literature dedicated to running-in and, therefore, data improving its understanding is greatly anticipated. In this work, a novel wear debris detection system measuring in real time was employed to investigate the running-in of an inline 4-cylinder gasoline engine; it consists primarily of an optical sensor with the capability of detecting very small particles from 4 μm. For the tests, the engine was mounted on a test bench and operated under stationary working conditions. The results of the wear debris measurements showed interesting insights into the engine running-in process; although in general, the results followed the expected trend, they also showed an unexpected behavior: it was expected to obtain the highest amounts of wear debris at the beginning of the running-in, but instead the number of debris stagnated and only started to increase after about 20 h to then decrease again. The best operating conditions to run-in the engine were identified at the middle of the running-in period, without the presence of large wear debris that could lead to severe wear. Finally, it was found that the engine running-in was not finished until at least 75 h of operation, although commonly, a running-in time of 10 h is used in the industry.

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Sub-micron wear measurement using activities under the free handling limit

Ditrói

Takács

Tárkányi

et al. 2012

J Radioanal Nucl Chem

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Study on real-time wear measurement of piston-ring and cylinder-bore in an engine using thin layer activation method

Cited by 9 publications

References 14 publications

Surface Topography Characterization Using a Simple Optical Device and Artificial Neural Networks

Surface Topography Characterization Using a Simple Optical Device and Artificial Neural Networks

Application of a Wear Debris Detection System to Investigate Wear Phenomena during Running-In of a Gasoline Engine

Sub-micron wear measurement using activities under the free handling limit

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