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Research Papers: Other (Seals, Manufacturing)

A Surface Connectivity-Based Approach for Leakage Channel Prediction in Static Sealing Interface

[+] Author and Article Information
Yiping Shao

State Key Lab of Mechanical System and Vibration;School of Mechanical Engineering,
Shanghai Jiao Tong University,
No. 800 Dongchuan Road,
Shanghai 200240, China
e-mail: syp123gh@sjtu.edu.cn

Yaxiang Yin

School of Mechanical Engineering,
Shanghai Jiao Tong University,
No. 800 Dongchuan Road,
Shanghai 200240, China
e-mail: yaxiang@sjtu.edu.cn

Shichang Du

State Key Lab of Mechanical System and Vibration;School of Mechanical Engineering,
Shanghai Jiao Tong University,
No. 800 Dongchuan Road,
Shanghai 200240, China
e-mail: lovbin@sjtu.edu.cn

Lifeng Xi

State Key Lab of Mechanical System and Vibration;School of Mechanical Engineering,
Shanghai Jiao Tong University,
No. 800 Dongchuan Road,
Shanghai 200240, China
e-mail: lfxi@sjtu.edu.cn

1Corresponding author.

Contributed by the Tribology Division of ASME for publication in the Journal of Tribology. Manuscript received November 5, 2018; final manuscript received March 4, 2019; published online March 25, 2019. Assoc. Editor: Joichi Sugimura.

J. Tribol 141(6), 062201 (Mar 25, 2019) (11 pages) Paper No: TRIB-18-1463; doi: 10.1115/1.4043123 History: Received November 05, 2018; Accepted March 04, 2019

Leakage susceptibility is significant for the functionalization of engineering products, and surface topography plays a crucial role in forming the leakage channel in static sealing interface. This paper proposes a surface connectivity-based approach to predict the leakage channel in static sealing interface. The proposed approach consists of three modules including contact surface generation, leakage parameters definition, and leakage channel prediction. A high-definition metrology (HDM) instrument is adopted to measure the three-dimensional (3D) surface. The contact surface that can be considered as the sealing interface is generated by assembling the virtual gasket surface and waviness surface. Considering the spatial connectivity, two kinds of leakage parameters including connectivity parameters and correlation parameters are proposed to describe the characteristics of the contact surface. Meantime, a novel prediction algorithm is developed to directly indicate the potential leakage channel of the surface. Experimental results demonstrate that the proposed approach is valid to be accurate and effective, which can provide valuable information for surface topography and static sealing performance.

Copyright © 2019 by ASME
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Figures

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Fig. 1

Measurement by HDM

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Fig. 2

Examples of different adjacency principles

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Fig. 3

Examples of connectivity class

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Fig. 4

The framework of the proposed method

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Fig. 5

The architecture of the contact surface generation approach

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Fig. 6

(a) Engine cylinder head surface and (b) engine cylinder block surface

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Fig. 7

Filtered results of an areal spline filter

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Fig. 8

(a) Virtual gasket profile and (b) virtual gasket surface

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Fig. 10

Different connectivity classes

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Fig. 11

The architecture of the leakage channel prediction algorithm

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Fig. 12

(a) A 20 × 20 contact surface Z, (b) different connectivity classes, (c) connectivity parameters μ¯αi, and (d) correlation parameters Corrij

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Fig. 13

The potential leakage channel X67

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Fig. 14

(a) Assembled engine cylinder head and block and (b) gasket and block

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Fig. 15

Thirty surface regions

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Fig. 16

(a) The line chart of SWvoid and (b) OOL leakage regions

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Fig. 17

(a) The contact surface of region 12 and (b) the contact surface of region 11

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Fig. 18

(a) Different connectivity classes and (b) the leakage channel of region 12

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Fig. 19

Leakage channels of OOL surface regions

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