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A particle-based fluid modelling and its application to lubricating grease / KAZUYA YAMAMOTO

Swansea University Author: KAZUYA YAMAMOTO

DOI (Published version): 10.23889/SUThesis.67951

Abstract

Lubricating grease is used in a wide range of applications, such as gearboxes and ball bearings due to its unique advantages over oil, such as low maintenance and leak resistance. This study is sponsoredby NSK, the author's employer and a leading bearing manufacturer in Japan. In their product...

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Published: Swansea University, Wales, UK 2024
Institution: Swansea University
Degree level: Doctoral
Degree name: Ph.D
Supervisor: Li, C.
URI: https://cronfa.swan.ac.uk/Record/cronfa67951
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spelling v2 67951 2024-10-10 A particle-based fluid modelling and its application to lubricating grease 2ed3049e7824a286c1a373d86d9c8d94 KAZUYA YAMAMOTO KAZUYA YAMAMOTO true false 2024-10-10 Lubricating grease is used in a wide range of applications, such as gearboxes and ball bearings due to its unique advantages over oil, such as low maintenance and leak resistance. This study is sponsoredby NSK, the author's employer and a leading bearing manufacturer in Japan. In their product development process of the most important product, ball bearings, a significant amount of trial and error is required in the experiment. Fast and accurate grease simulation could alleviate the situation, but in the relevant academic field, there have only been a limited number of works on grease simulation. More-over, those works hardly discuss the difference between greases with different material properties most likely because of the limited re-producibility of grease in simulation while there have been numerous experiment-based studies about the complex material properties of grease and the ball bearing performance. The simulation process is also reported to be time-consuming Setting the ultimate goal as the utilisation of the simulation in the speedy product development of grease-lubricated ball bearings, this study expands upon the material properties of grease by adding elastoplasticity to previously used strain-rate dependent viscosity, and examines the effectiveness of the widely used cone penetration test and a newly designed plate separation test, approximately representing the responses to compression and tension respectively. The model was found to improve the result in the cone penetration test, but some discrepancy was found in the plate separation test. This study was performed with an improved smoothed particle hydrodynamics called the reproducing kernel particle method, which was implemented from scratch. Considering the need for efficiency in product development, GPU parallel computing was deployed to accelerate simulation. While there was a significant speed-up compared to a serial CPU equivalent, the overall performance was limited by the time step constraint, an issue that exists regardless of whether a CPU or GPU is used. E-Thesis Swansea University, Wales, UK Grease, ball bearings, cone penetration, lubrication, CFD, particle methods 24 9 2024 2024-09-24 10.23889/SUThesis.67951 A selection of content is redacted or is partially redacted from this thesis to protect sensitive and personal information. COLLEGE NANME COLLEGE CODE Swansea University Li, C. Doctoral Ph.D NSK LTD NSK LTD 2024-10-10T12:05:24.5825210 2024-10-10T11:50:05.9156656 Faculty of Science and Engineering School of Aerospace, Civil, Electrical, General and Mechanical Engineering - Civil Engineering KAZUYA YAMAMOTO 1 67951__32579__13200193390c4ee186c6388558c7b49a.pdf 2024_Yamamoto_K.final.67951.pdf 2024-10-10T11:56:05.6377201 Output 56424931 application/pdf E-Thesis – open access true Copyright: The Author, Kazuya Yamamoto, 2024 true eng
title A particle-based fluid modelling and its application to lubricating grease
spellingShingle A particle-based fluid modelling and its application to lubricating grease
KAZUYA YAMAMOTO
title_short A particle-based fluid modelling and its application to lubricating grease
title_full A particle-based fluid modelling and its application to lubricating grease
title_fullStr A particle-based fluid modelling and its application to lubricating grease
title_full_unstemmed A particle-based fluid modelling and its application to lubricating grease
title_sort A particle-based fluid modelling and its application to lubricating grease
author_id_str_mv 2ed3049e7824a286c1a373d86d9c8d94
author_id_fullname_str_mv 2ed3049e7824a286c1a373d86d9c8d94_***_KAZUYA YAMAMOTO
author KAZUYA YAMAMOTO
author2 KAZUYA YAMAMOTO
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publishDate 2024
institution Swansea University
doi_str_mv 10.23889/SUThesis.67951
college_str Faculty of Science and Engineering
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hierarchy_top_id facultyofscienceandengineering
hierarchy_top_title Faculty of Science and Engineering
hierarchy_parent_id facultyofscienceandengineering
hierarchy_parent_title Faculty of Science and Engineering
department_str School of Aerospace, Civil, Electrical, General and Mechanical Engineering - Civil Engineering{{{_:::_}}}Faculty of Science and Engineering{{{_:::_}}}School of Aerospace, Civil, Electrical, General and Mechanical Engineering - Civil Engineering
document_store_str 1
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description Lubricating grease is used in a wide range of applications, such as gearboxes and ball bearings due to its unique advantages over oil, such as low maintenance and leak resistance. This study is sponsoredby NSK, the author's employer and a leading bearing manufacturer in Japan. In their product development process of the most important product, ball bearings, a significant amount of trial and error is required in the experiment. Fast and accurate grease simulation could alleviate the situation, but in the relevant academic field, there have only been a limited number of works on grease simulation. More-over, those works hardly discuss the difference between greases with different material properties most likely because of the limited re-producibility of grease in simulation while there have been numerous experiment-based studies about the complex material properties of grease and the ball bearing performance. The simulation process is also reported to be time-consuming Setting the ultimate goal as the utilisation of the simulation in the speedy product development of grease-lubricated ball bearings, this study expands upon the material properties of grease by adding elastoplasticity to previously used strain-rate dependent viscosity, and examines the effectiveness of the widely used cone penetration test and a newly designed plate separation test, approximately representing the responses to compression and tension respectively. The model was found to improve the result in the cone penetration test, but some discrepancy was found in the plate separation test. This study was performed with an improved smoothed particle hydrodynamics called the reproducing kernel particle method, which was implemented from scratch. Considering the need for efficiency in product development, GPU parallel computing was deployed to accelerate simulation. While there was a significant speed-up compared to a serial CPU equivalent, the overall performance was limited by the time step constraint, an issue that exists regardless of whether a CPU or GPU is used.
published_date 2024-09-24T12:05:23Z
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score 11.030781