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Journal of Vibration Testing and System Dynamics

C. Steve Suh (editor), Pawel Olejnik (editor),

Xianguo Tuo (editor)

Pawel Olejnik (editor)

Lodz University of Technology, Poland

Email: pawel.olejnik@p.lodz.pl

C. Steve Suh (editor)

Texas A&M University, USA

Email: ssuh@tamu.edu

Xiangguo Tuo (editor)

Sichuan University of Science and Engineering, China

Email: tuoxianguo@suse.edu.cn


Multi-objective Optimization Design of Flap Sealing Valve Structure for Deep Sea Sediment Sampling

Journal of Vcibration Testing and System Dynamics 2(3) (2018) 281--290 | DOI:10.5890/JVTSD.2018.09.008

Guangping Liu; Yongping Jin; Youduo Peng; Buyan Wan

National-Local Joint Engineering Laboratory of Marine Mineral Resources Exploration Equipment and Safety Technology, Hunan University of Science and Technology, Xiangtan, Hunan, P. R. China

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Abstract

Taking the deep sea sediments air-tight sampler flap seal valve as the research object, using the response surface method (RSM) and finite element analysis method to carry out the flap sealing valve geometry design parameter optimization design research. First of all, a set of eccentrically set flap seal valve is designed for the requirement of the pressurized seal of the marine deep sediment air-tight sampler, three-dimensional geometric model of the flap seal valve is built using Solidworks.Then, The flap sealing valve ccentricity angle θ, the valve cap upper end diameter D3, and the valve cover length l as the design variables, the bottom end opening diameter D5 of the valve body and the material strength under a given safety factor are set as constraints, the maximum stress value and weight of the flap seal valve are set as optimization goals. The response surface model of the flap sealing valve eccentricity angle θ, the valve cap upper end diameter D3, the valve cover length l and the flap sealing valve maximum stress and weight is constructed. Finally, The geometrical structure parameters of the flap sealing valve are optimized.

Acknowledgments

This project was supported by the National Natural Science Foundation of China (Grant No.51705145, 51779092), and the National Key Research and Development Program of China (Grant No.2016YFC03-00502, 2017YFC0307501).

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