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.
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June 2019
Research-Article
A Surface Connectivity-Based Approach for Leakage Channel Prediction in Static Sealing Interface
Yiping Shao,
Yiping Shao
State Key Lab of Mechanical System and Vibration;
School of Mechanical Engineering,
No. 800 Dongchuan Road,
Shanghai 200240,
e-mail: syp123gh@sjtu.edu.cn
Shanghai Jiao Tong University
,No. 800 Dongchuan Road,
Shanghai 200240,
China
e-mail: syp123gh@sjtu.edu.cn
Search for other works by this author on:
Yaxiang Yin,
Yaxiang Yin
School of Mechanical Engineering,
No. 800 Dongchuan Road,
Shanghai 200240,
e-mail: yaxiang@sjtu.edu.cn
Shanghai Jiao Tong University
,No. 800 Dongchuan Road,
Shanghai 200240,
China
e-mail: yaxiang@sjtu.edu.cn
Search for other works by this author on:
Shichang Du,
Shichang Du
1
State Key Lab of Mechanical System and Vibration;
School of Mechanical Engineering,
No. 800 Dongchuan Road,
Shanghai 200240,
e-mail: lovbin@sjtu.edu.cn
Shanghai Jiao Tong University
,No. 800 Dongchuan Road,
Shanghai 200240,
China
e-mail: lovbin@sjtu.edu.cn
1Corresponding author.
Search for other works by this author on:
Lifeng Xi
Lifeng Xi
State Key Lab of Mechanical System and Vibration;
School of Mechanical Engineering,
No. 800 Dongchuan Road,
Shanghai 200240,
e-mail: lfxi@sjtu.edu.cn
Shanghai Jiao Tong University
,No. 800 Dongchuan Road,
Shanghai 200240,
China
e-mail: lfxi@sjtu.edu.cn
Search for other works by this author on:
Yiping Shao
State Key Lab of Mechanical System and Vibration;
School of Mechanical Engineering,
No. 800 Dongchuan Road,
Shanghai 200240,
e-mail: syp123gh@sjtu.edu.cn
Shanghai Jiao Tong University
,No. 800 Dongchuan Road,
Shanghai 200240,
China
e-mail: syp123gh@sjtu.edu.cn
Yaxiang Yin
School of Mechanical Engineering,
No. 800 Dongchuan Road,
Shanghai 200240,
e-mail: yaxiang@sjtu.edu.cn
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,
No. 800 Dongchuan Road,
Shanghai 200240,
e-mail: lovbin@sjtu.edu.cn
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,
No. 800 Dongchuan Road,
Shanghai 200240,
e-mail: lfxi@sjtu.edu.cn
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. Jun 2019, 141(6): 062201 (11 pages)
Published Online: March 25, 2019
Article history
Received:
November 5, 2018
Revision Received:
March 4, 2019
Accepted:
March 4, 2019
Citation
Shao, Y., Yin, Y., Du, S., and Xi, L. (March 25, 2019). "A Surface Connectivity-Based Approach for Leakage Channel Prediction in Static Sealing Interface." ASME. J. Tribol. June 2019; 141(6): 062201. https://doi.org/10.1115/1.4043123
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