The Automatic Detection Technology for the Surface Defects of Automobile Engine Cylinder

Jin Jun Ji; C. Ye

doi:10.4028/www.scientific.net/KEM.693.1458

Paper Titles

State Inspection and Fault Diagnosis System of Train Axel Box Bearing Based on Virtual Instrument
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Study on Laser Measurement Technology of Inner Surfaces
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Study on the Influence of Roughness on the Detection for Mechanical Characteristics of the Machined Surface by Surface Acoustic Wave Dispersion Theory
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Study on the Relation of Wheel Hub Bearing Preload and Natural Frequency by Dynamic Test
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The Automatic Detection Technology for the Surface Defects of Automobile Engine Cylinder
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The Pre-Travel Error Study of Electrical Trigger Probe in On-Machine Measurement
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The System of Tensile Test Based on Multi-Agent Virtual Instrument
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Weak-Points Diagnosis and Optimization of Shield Machine Cutter Tool Based on Characteristic Parameters
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A Reliability Research on Internet of Objects Monitoring System of Facility Agriculture
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HomeKey Engineering MaterialsKey Engineering Materials Vol. 693The Automatic Detection Technology for the Surface...

The Automatic Detection Technology for the Surface Defects of Automobile Engine Cylinder

Abstract:

In view of the casting defects of the automobile engine cylinder, the automatic detection technology for the surface defects of cylinder was investigated in this study. Moreover, a system was designed to automatically detect the surface defects of engine cylinder bore basing on machine vision technology. The pixels of the bottom circle and top circle of cylinder bore were effectively extracted using a Hough transform-based fast detection circle algorithm; Aiming to solve the inconvenience in observation and measurement as well as the obvious geometric distortion presented in annular image, an algorithm, in which annulus was extended into rectangular, was put forward. Experiment results proved that this algorithm was fast and efficient and showed lower mean error in calculating annular defect area.

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Periodical:

Key Engineering Materials (Volume 693)

Pages:

1458-1465

DOI:

https://doi.org/10.4028/www.scientific.net/KEM.693.1458

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Online since:

May 2016

Authors:

Jin Jun Ji*, C. Ye

Keywords:

Defect Area Calculation, Detection System, Geometric Distortion, Hough Transform

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