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Research Papers

Identification of Machining Chatter Marks on Surfaces of Automotive Valve Seats

[+] Author and Article Information
Hagay Bamberger

 Rafael – Advanced Defense Systems Ltd., Haifa, P.O. Box 5218, Kfar Hasidim 20400, Israelhagayb@rafael.co.il

Saikrishnan Ramachandran

En Hong

 University of Michigan, Ann Arbor, MI 48109enhong@umich.edu

Reuven Katz

 Technion, Israel Institute of Technology, Haifa 32000, Israelreuven@umich.edu

J. Manuf. Sci. Eng 133(4), 041003 (Jul 20, 2011) (7 pages) doi:10.1115/1.4004331 History: Received April 10, 2011; Revised May 23, 2011; Published July 20, 2011; Online July 20, 2011

In this paper, we propose a method for inspecting machining chatter marks on automotive valve seats using image processing technique. Chatter or self-excited tool-workpiece relative vibration is unacceptable in the machining processes of valve seats, because it causes poor surface finish and can create internal leaks in the engine. Robust identification of chatter marks on machined surfaces is one of the main challenges in the realization of an automatic in-line inspection system. We suggest several methods for calculating the chatter marks severity, using circle fitting and gray level co-occurrence matrix technique, which was for the first time implemented on circular images.

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Copyright © 2011 by American Society of Mechanical Engineers
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Figures

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Figure 1

Cross section of a valve seat

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Figure 2

Experimental setup

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Figure 3

Valve seat images of (a) accepted part and (b) rejected part

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Figure 4

Flowchart of calculating the three parameters that quantify the valve seat quality

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Figure 5

Edges along some radial lines for (a) accepted part and (b) rejected part

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Figure 6

Output of the radial 1D edge detector, and the definition of annular ring width

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Figure 7

Histogram of CFN results for 40 parts

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Figure 8

Value of center location error Ej versus the angular position of the edge points: (a) circle parameters based on Hough transform and (b) corrected circle parameters

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Figure 9

The percentage of points within the annular region versus the annulus width

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Figure 10

Unwrapped valve seat image (a) accepted part; (b) rejected part; and (c) accepted part using Hough transform without correcting the circle center

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Figure 11

GLCM of (a) accepted part and (b) rejected part

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Figure 12

Comparison between two of the parameters that quantify the valve seat quality

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