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To evaluate the relative influence of coefficient of friction on the motion of a golf ball (speed and roll) during a golf putt
Proceedings of the 10th International Symposium on Computer Science in Sports (ISCSS), Volume: 392, Pages: 129 - 138
Swansea University Authors: Iwan Griffiths, Rory McKenzie
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DOI (Published version): 10.1007/978-3-319-24560-7_16
Abstract
Pace control and green reading have been highlighted as important aspects of a golfer’s arsenal when it comes to putting. The purpose of this study was to compare the ball roll characteristics across eight different surfaces and more specifically analyse the distance it takes for a golf ball to achi...
Published in: | Proceedings of the 10th International Symposium on Computer Science in Sports (ISCSS) |
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ISBN: | 9783319245584 9783319245607 |
ISSN: | 2194-5357 2194-5365 |
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Cham
Springer International Publishing
2016
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URI: | https://cronfa.swan.ac.uk/Record/cronfa23858 |
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<?xml version="1.0"?><rfc1807><datestamp>2022-02-09T12:27:06.1061129</datestamp><bib-version>v2</bib-version><id>23858</id><entry>2015-10-19</entry><title>To evaluate the relative influence of coefficient of friction on the motion of a golf ball (speed and roll) during a golf putt</title><swanseaauthors><author><sid>2ed2cc8d3dff635184def8d15afa21a9</sid><firstname>Iwan</firstname><surname>Griffiths</surname><name>Iwan Griffiths</name><active>true</active><ethesisStudent>false</ethesisStudent></author><author><sid>8636cbd0ba1284e17035fb0ef9f54d8c</sid><firstname>Rory</firstname><surname>McKenzie</surname><name>Rory McKenzie</name><active>true</active><ethesisStudent>false</ethesisStudent></author></swanseaauthors><date>2015-10-19</date><deptcode>STSC</deptcode><abstract>Pace control and green reading have been highlighted as important aspects of a golfer’s arsenal when it comes to putting. The purpose of this study was to compare the ball roll characteristics across eight different surfaces and more specifically analyse the distance it takes for a golf ball to achieve pure rolling motion. Two different methods of collecting putting data were used during this study; a putting robot and a human subject. For each surface thirty putts were tracked for the first 40cm of their travel, namely; a putting mat, rubber, MFC, compact carpet, brass, PTFE, MDF and nitrile rubber, via a high speed camera (360 frames per second). A numerical model was used to determine the mean coefficient of kinetic friction from each of the eight surfaces. Results showed that the surface with the highest coefficient of friction (μ = 0.40), allowed the ball to enter true roll at the earliest stage (3.94”), whereas the surface with the lowest coefficient of friction (μ = 0.11), allowed the ball to enter pure roll at the latest stage (16.77”). Knowledge of this negative relationship may have great significance for golf coaches, players who are looking to improve their green reading skills, and golf course designers/greens keepers who are trying to further understand and improve putting greens.</abstract><type>Book chapter</type><journal>Proceedings of the 10th International Symposium on Computer Science in Sports (ISCSS)</journal><volume>392</volume><journalNumber/><paginationStart>129</paginationStart><paginationEnd>138</paginationEnd><publisher>Springer International Publishing</publisher><placeOfPublication>Cham</placeOfPublication><isbnPrint>9783319245584</isbnPrint><isbnElectronic>9783319245607</isbnElectronic><issnPrint>2194-5357</issnPrint><issnElectronic>2194-5365</issnElectronic><keywords>Golf putting; Roll; Skid; Coefficient of Friction</keywords><publishedDay>1</publishedDay><publishedMonth>1</publishedMonth><publishedYear>2016</publishedYear><publishedDate>2016-01-01</publishedDate><doi>10.1007/978-3-319-24560-7_16</doi><url/><notes>Proceedings edited by Paul Chung, Andrea Soltoggio, Christian W. Dawson, Qinggang Meng, Matthew Pain</notes><college>COLLEGE NANME</college><department>Sport and Exercise Sciences</department><CollegeCode>COLLEGE CODE</CollegeCode><DepartmentCode>STSC</DepartmentCode><institution>Swansea University</institution><apcterm/><lastEdited>2022-02-09T12:27:06.1061129</lastEdited><Created>2015-10-19T09:57:50.5110914</Created><path><level id="1">Faculty of Science and Engineering</level><level id="2">School of Aerospace, Civil, Electrical, General and Mechanical Engineering - Sport and Exercise Sciences</level></path><authors><author><firstname>Iwan</firstname><surname>Griffiths</surname><order>1</order></author><author><firstname>Rory</firstname><surname>McKenzie</surname><order>2</order></author><author><firstname>Hywel</firstname><surname>Stredwick</surname><order>3</order></author><author><firstname>Paul</firstname><surname>Hurrion</surname><order>4</order></author></authors><documents/><OutputDurs/></rfc1807> |
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2022-02-09T12:27:06.1061129 v2 23858 2015-10-19 To evaluate the relative influence of coefficient of friction on the motion of a golf ball (speed and roll) during a golf putt 2ed2cc8d3dff635184def8d15afa21a9 Iwan Griffiths Iwan Griffiths true false 8636cbd0ba1284e17035fb0ef9f54d8c Rory McKenzie Rory McKenzie true false 2015-10-19 STSC Pace control and green reading have been highlighted as important aspects of a golfer’s arsenal when it comes to putting. The purpose of this study was to compare the ball roll characteristics across eight different surfaces and more specifically analyse the distance it takes for a golf ball to achieve pure rolling motion. Two different methods of collecting putting data were used during this study; a putting robot and a human subject. For each surface thirty putts were tracked for the first 40cm of their travel, namely; a putting mat, rubber, MFC, compact carpet, brass, PTFE, MDF and nitrile rubber, via a high speed camera (360 frames per second). A numerical model was used to determine the mean coefficient of kinetic friction from each of the eight surfaces. Results showed that the surface with the highest coefficient of friction (μ = 0.40), allowed the ball to enter true roll at the earliest stage (3.94”), whereas the surface with the lowest coefficient of friction (μ = 0.11), allowed the ball to enter pure roll at the latest stage (16.77”). Knowledge of this negative relationship may have great significance for golf coaches, players who are looking to improve their green reading skills, and golf course designers/greens keepers who are trying to further understand and improve putting greens. Book chapter Proceedings of the 10th International Symposium on Computer Science in Sports (ISCSS) 392 129 138 Springer International Publishing Cham 9783319245584 9783319245607 2194-5357 2194-5365 Golf putting; Roll; Skid; Coefficient of Friction 1 1 2016 2016-01-01 10.1007/978-3-319-24560-7_16 Proceedings edited by Paul Chung, Andrea Soltoggio, Christian W. Dawson, Qinggang Meng, Matthew Pain COLLEGE NANME Sport and Exercise Sciences COLLEGE CODE STSC Swansea University 2022-02-09T12:27:06.1061129 2015-10-19T09:57:50.5110914 Faculty of Science and Engineering School of Aerospace, Civil, Electrical, General and Mechanical Engineering - Sport and Exercise Sciences Iwan Griffiths 1 Rory McKenzie 2 Hywel Stredwick 3 Paul Hurrion 4 |
title |
To evaluate the relative influence of coefficient of friction on the motion of a golf ball (speed and roll) during a golf putt |
spellingShingle |
To evaluate the relative influence of coefficient of friction on the motion of a golf ball (speed and roll) during a golf putt Iwan Griffiths Rory McKenzie |
title_short |
To evaluate the relative influence of coefficient of friction on the motion of a golf ball (speed and roll) during a golf putt |
title_full |
To evaluate the relative influence of coefficient of friction on the motion of a golf ball (speed and roll) during a golf putt |
title_fullStr |
To evaluate the relative influence of coefficient of friction on the motion of a golf ball (speed and roll) during a golf putt |
title_full_unstemmed |
To evaluate the relative influence of coefficient of friction on the motion of a golf ball (speed and roll) during a golf putt |
title_sort |
To evaluate the relative influence of coefficient of friction on the motion of a golf ball (speed and roll) during a golf putt |
author_id_str_mv |
2ed2cc8d3dff635184def8d15afa21a9 8636cbd0ba1284e17035fb0ef9f54d8c |
author_id_fullname_str_mv |
2ed2cc8d3dff635184def8d15afa21a9_***_Iwan Griffiths 8636cbd0ba1284e17035fb0ef9f54d8c_***_Rory McKenzie |
author |
Iwan Griffiths Rory McKenzie |
author2 |
Iwan Griffiths Rory McKenzie Hywel Stredwick Paul Hurrion |
format |
Book chapter |
container_title |
Proceedings of the 10th International Symposium on Computer Science in Sports (ISCSS) |
container_volume |
392 |
container_start_page |
129 |
publishDate |
2016 |
institution |
Swansea University |
isbn |
9783319245584 9783319245607 |
issn |
2194-5357 2194-5365 |
doi_str_mv |
10.1007/978-3-319-24560-7_16 |
publisher |
Springer International Publishing |
college_str |
Faculty of Science and Engineering |
hierarchytype |
|
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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 - Sport and Exercise Sciences{{{_:::_}}}Faculty of Science and Engineering{{{_:::_}}}School of Aerospace, Civil, Electrical, General and Mechanical Engineering - Sport and Exercise Sciences |
document_store_str |
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description |
Pace control and green reading have been highlighted as important aspects of a golfer’s arsenal when it comes to putting. The purpose of this study was to compare the ball roll characteristics across eight different surfaces and more specifically analyse the distance it takes for a golf ball to achieve pure rolling motion. Two different methods of collecting putting data were used during this study; a putting robot and a human subject. For each surface thirty putts were tracked for the first 40cm of their travel, namely; a putting mat, rubber, MFC, compact carpet, brass, PTFE, MDF and nitrile rubber, via a high speed camera (360 frames per second). A numerical model was used to determine the mean coefficient of kinetic friction from each of the eight surfaces. Results showed that the surface with the highest coefficient of friction (μ = 0.40), allowed the ball to enter true roll at the earliest stage (3.94”), whereas the surface with the lowest coefficient of friction (μ = 0.11), allowed the ball to enter pure roll at the latest stage (16.77”). Knowledge of this negative relationship may have great significance for golf coaches, players who are looking to improve their green reading skills, and golf course designers/greens keepers who are trying to further understand and improve putting greens. |
published_date |
2016-01-01T03:28:14Z |
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1763751068282388480 |
score |
11.035655 |