The aim of the article is to determine the hydrodynamic characteristics of a swimmer's scanned hand model for various possible combinations of both the angle of attack and the sweepback angle, simulating separate underwater arm stroke phases of front crawl swimming. An actual swimmer's hand with thumb adducted was scanned using an Artec L 3D scanner. ANSYS Fluent code was applied for carrying out steady-state computational fluid dynamics (CFD) analysis. The hand model was positioned in nine different positions corresponding to the swimmer's hand orientations (angle of attack and sweepback angle) and velocities observed during the underwater hand stroke of front crawl. Hydrodynamic forces and coefficients were calculated. Results showed significantly higher drag coefficient values in the pull phase, when compared with previous studies under a steady-state flow condition. The mean value of the ratio of drag and lift coefficients was 2.67 ± 2.3 in underwater phases. The mean value of the ratio of drag and lift forces was 2.73 ± 2.4 in underwater phases. Moreover, hydrodynamic coefficients were not almost constant throughout different flow velocities, and variation was observed for different hand positions corresponding to different stroke phases. The current study suggests that the realistic variation of both the orientation angles influenced higher values of drag, lift and resultant coefficients and forces.
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http://dx.doi.org/10.1123/jab.29.6.817 | DOI Listing |
Int J Sports Physiol Perform
December 2024
Department of Anesthesiology and Intensive Care, Akershus University Hospital, Lørenskog, Norway.
Purpose: Laboratory studies have demonstrated that manual dexterity decreases with increasing cold, which may adversely affect performance. Dexterity may be impaired by cooling of the hand, cooling of the lower motor neurons, and cognitive impairment. Wetsuits are commonly used in open-water swimming and are mandated in some situations.
View Article and Find Full Text PDFBackground: Swimming is one of the most common sporting activities in the United States, and often popular among shoulder arthroplasty patients. While return to sport has become a popular topic recently, the literature focused on swimming is limited. The purpose of this study is to report the rate of return to swim after primary shoulder arthroplasty and evaluate changes in performance after surgery.
View Article and Find Full Text PDFSports Biomech
November 2024
Faculty of Health and Sport Sciences, University of Tsukuba, Tsukuba, Japan.
This study aimed to investigate the effect of the flutter kick on the propulsive force generated by a stroke. Eight male swimmers performed 20 m front crawl trials under two conditions: the Whole Condition, involving maximum effort (T100%) and stroke frequencies at 70, 80, and 90% of T100%, and the Arm Condition, which excluded the flutter kick and matched stroke frequencies with the Whole Condition. Various parameters, including swimming velocity, stroke frequency, stroke length, three-dimensional (3D) resultant hand speed, and hand propulsion were calculated based on underwater 3D motion analysis and hand pressure distribution measurements.
View Article and Find Full Text PDFMed Sci Sports Exerc
October 2024
Faculty of Sports and Budo Coaching Studies, National Institute of Fitness and Sports in Kanoya, Kanoya, Kagoshima, JAPAN.
Purpose: This study aimed to provide evidence for the interpretation of the projected frontal area (PFA) during front crawl. To achieve this goal, we developed a method for calculating the PFA of each body segment using digital human technology and compared the pressure drag under two calculation conditions: a combination of the PFA with and without accounting for the horizontal velocity of each body segment.
Methods: Twelve competitive male swimmers performed a 15-meter front crawl at 1.
J Funct Morphol Kinesiol
July 2024
Department of Sport Sciences, Instituto Politécnico de Bragança, 5300-253 Bragança, Portugal.
The aim of this study was to compare swimming speed and speed fluctuations in front crawl between swimmers of different performance levels using discrete variables against statistical parametric mapping (SPM). The sample was composed of 34 male swimmers divided into three groups: (i) group #1-recreational swimmers; (ii) group #2-competitive swimmers aged 12 to 14 years; (iii) group #3-competitive swimmers aged 15 to 17 years. Swimming speed and speed fluctuations (calculated based on four different conditions) were used as discrete variables.
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