Title

Data from: Seam Shifted Wake in the Magnus and non-Magnus Directions

Description

An experiment was conducted to investigate the Seam Shifted Wake effect in the Magnus and non-Magnus directions. Previous studies indicate the location of seams can alter wake formation and create forces acting on a ball due to a difference in pressure. The impact on movement was as expected in the non-Magnus direction, but studies show a SSW effect in the Magnus direction as well. Particle Image Velocimetry was used in this study to analyze the boundary layer separation points of air flow around an official MLB ball in flight. Data was collected for non-rotating baseballs with a range of seam orientations and velocities of 60, 90, and 110 MPH, and for rotating baseballs with a velocity of 90 MPH and rotation rates of 1300, 1800, and 2300 RPM. Boundary layer separation maps were created to compare the non-Magnus baseball cases and the rotating baseball cases as well as the separation point of a smooth ball at the same velocity and rotation rates. The results of the non-rotating baseball cases show the SSW effect varies with Reynolds number. The results of the rotating baseball study show seams can act to advance the separation point or delay the separation point past the natural separation point of the turbulent boundary layer. This results in a SSW effect that can add to or subtract from the Magnus effect.

Author ORCID Identifier

Barton Smith https://orcid.org/0000-0002-1461-5888

Document Type

Dataset

DCMI Type

Dataset

File Format

.csv

Viewing Instructions

See README

Publication Date

4-7-2022

Publisher

Utah State University

Methodology

A two-component planar Particle Image Velocimetry (PIV) system is used to generate the air velocity vectors around baseballs in the plane parallel to the flow. The LaVision software shows the (x,y) location of the cursor in the image frame of each dataset. The coordinates of the center of the ball in the image is computed using the y-coordinate of the top- and bottom-most points and the x-coordinate of the left- and right-most points of the ball in the image. The angle between any point and the hemisphere plane is then computed using trigonometric functions. The angle from the hemisphere plane of the seams on the ball and the boundary layer separation point on the top and bottom of the ball is computed. The position of the seams is found using the raw PIV images. This location is defined as the point where the two leather pieces on the ball meet. This is easily identified as the center of the "m-shape" of the seams. The processed PIV images were analyzed to determine the separation point of the flow. This is where either a velocity vector is located normal to the surface of the ball, or two velocity vectors are pointing in opposite directions. This is more easily recognized by large vorticity values near the ball surface. The raw data was analyzed as a safeguard for potential poor masking to confirm the separation point found analyzing the processed data. The positions of the seams and the separation points were recorded in the Results CSVs. Both the 4-seam and 2-seam data for each study are found in the following CSVs:

Note the location of the seams and the separation point was repeatable within 0.74° at 95% confidence.

Referenced by

Garrett, J. W., “Seam Shifted Wake in the Magnus and non-Magnus Directions", MS Thesis, Utah State University, 2022.

Language

eng

Code Lists

See README

Disciplines

Aerospace Engineering | Mechanical Engineering

License

Creative Commons License
This work is licensed under a Creative Commons Attribution 4.0 License.

Identifier

https://doi.org/10.26078/kazw-5w98

Checksum

cd8708099840b34dc83af92aac4a4e90

Additional Files

Results_60-110_0.csv (40 kB)
MD5: 3a21368add899efe9f96073410f0bcd3

Results_90_0.csv (61 kB)
MD5: 0e208ef9739c768a97d189516d1caecd

Results_90_1300.csv (17 kB)
MD5: 47b4526344ad5efd262c52a234fb65bd

Results_90_1800.csv (16 kB)
MD5: b60e48c65bc371ffe190f0c477611eca

Results_90_2300.csv (15 kB)
MD5: 3393a0fc9127e3f07f493b17cdadd07d

Vector Maps.zip (17594133 kB)
Md5: 89fdb05a932bc3592f7449a25f67fb1a

Garrett_Raw_Images3.zip (2872687 kB)
MD5: 040e17c43e50a7f922d2f4f727b500db

Garrett_Raw_Images1.zip (15053545 kB)
MD5: 5cc4b4d422509a7113e9229474e4b6fb

Garrett_Raw_Images2.zip (14977830 kB)
MD5: 5ad6fca4afaa575ef7a0b5f1d85f29c9

README_Garrett.txt (6 kB)
MD5: 3611bfc200bce413b196ff3d83f3f23c

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