# README ## GENERAL INFORMATION DATA TITLE: SCRATA cubes point clouds and roughness results PROJECT TITLE: Digital Surface Roughness Calculation for Castings DATA ABSTRACT: The folders represent the points clouds and results used to create the graphs for the paper: 3D Analysis of Casting Surface Characterization Based on the Variogram Roughness Method by Daniel Wilhelm Schimpf, Frank Earl Peters Two methods are referred to in the following data. Both methods utilize a variogram to determine the surface roughness of castings. The first method developed was presented in the paper mentioned above and is referred to the old method in the following text. This method utilized a 3D scan of a casting section with simple geometry to determine the surface roughness. The second method and here reffered to as new method utilizes a 3D scan of a whole casting to determine the surface roughness. The point clouds are saved in the .pcd format. These can be opened with free software such as Cloud Compare. The results are saved in the .csv and .xls format. The important cell in the .xls files for the old method is the Variogram Average(0 - 5 mm) for the First Method: First Run (B25).The important cell in the .csv files for the new method is the Svr[mm]: for the Overall Roughness (B18). AUTHORS: Author: Daniel Wilhelm Schimpf ORCID: 0000-0001-8082-5544 Institution: Iowa State University Email: dschimpf@iastate.edu Author: Frank Earl Peters ORCID: 0000-0002-8998-0062 Institution: Iowa State University Email:fpeters@iastate.edu Corresponding author: Daniel Wilhelm Schimpf ASSOCIATED PUBLICATIONS: 3D Analysis of Casting Surface Characterization Based on the Variogram Roughness Method by Daniel Wilhelm Schimpf, Frank Earl Peters ### FILE DIRECTORY #### FILE LIST 1. Low Noise & Sparse New Method, Point clouds captured with the 3D Scanner #2 and analyzed with the new method a. 2021.02.02_EA_SC_A$_#.pcd, $ SCRATA plates 1 - 4, #: sides of the cube 1 - 5. Point cloud of the side # of cube A$ b. 2021.02.02_EA_SC_A$_#Results.csv, $ SCRATA plates 1 - 4, #: sides of the cube 1 - 5. Results and settings for the side # of cube A$ 2. Low Noise & Sparse New Method Full, Point clouds captured with the 3D Scanner #2 and analyzed with the new method analyzing the whole cube a. 2021.02.02_EA_SC_A$_full.pcd, $ SCRATA plates 1 - 4. Point cloud of the cube A$ b. 2021.02.02_EA_SC_A$_fullResult.csv, $ SCRATA plates 1 - 4. Results and settings for the cube A$ 3. Low Noise & Sparse New Method Full Edges not removed, Point clouds captured with the 3D Scanner #2 and analyzed with the new method analyzing the whole cube, but edges were not removed before roughness analysis. a. 2021.02.02_EA_SC_A$_full.pcd, $ SCRATA plates 1 - 4. Point cloud of the cube A$ b. 2021.02.02_EA_SC_A$_fullResult.csv, $ SCRATA plates 1 - 4. Results and settings for the cube A$ 4. Low Noise & Sparse Old Method, Point clouds captured with the 3D Scanner #2 and analyzed with the old method a. 2021.02.02_EA_SC_A$_#.pcd, $ SCRATA plates 1 - 4, #: sides of the cube 1 - 5. Point cloud of the side # of cube A$ b. 2021.02.02_EA_SC_A$_#.xls, $ SCRATA plates 1 - 4, #: sides of the cube 1 - 5. Results and settings for the side # of cube A$ 5. Mixed Sides Noisy & Dense, Point cloud of a mixed cube captured with the 3D Scanner #1 and analyzed with the new method. a. 2021.02.22_SCRATA_CUBE_Mix.pcd, Point cloud of a cube where the sides have different surface roughnesses. b. 2021.02.22_SCRATA_CUBE_MixResults.csv, Results and settings of a cube where the sides have different surface roughnesses. 6. Noisy & Dense Full Edges not removed, Point clouds captured with the 3D Scanner #1 and analyzed with the new method analyzing the whole cube, but edges were not removed before roughness analysis. a. 2021.01.12_SCRATA_Cube_A$_1_full.pcd, $ SCRATA plates 1, 2, 4. Point cloud of the cube A$ b. 2021.01.12_SCRATA_Cube_A$_1_fullResults.csv, $ SCRATA plates 1, 2, 4. Results and settings for the cube A$ c. 2020.11.11_SCRATA_Cube_2_full.pcd, $ SCRATA plate 3. Point cloud of the cube A3 d. 2020.11.11_SCRATA_Cube_2_fullResults.csv, $ SCRATA plate 3. Results and settings for the cube A3 7. Noisy & Dense Full New Method, Point clouds captured with the 3D Scanner #1 and analyzed with the new method analyzing the whole cube. a. 2021.01.12_SCRATA_Cube_A$_1_full.pcd, $ SCRATA plates 1, 2, 4. Point cloud of the cube A$ b. 2021.01.12_SCRATA_Cube_A$_1_fullResults.csv, $ SCRATA plates 1, 2, 4. Results and settings for the cube A$ c. 2020.11.11_SCRATA_Cube_2_full.pcd, $ SCRATA plate 3. Point cloud of the cube A3 d. 2020.11.11_SCRATA_Cube_2_fullResults.csv, $ SCRATA plate 3. Results and settings for the cube A3 8. Noisy & Dense New Method, Point clouds captured with the 3D Scanner #1 and analyzed with the new method. a. 2021.01.12_SCRATA_Cube_A$_1_S#.pcd, $ SCRATA plates 1, 2, 4, #: sides of the cube 1 - 5. Point cloud of the side # of cube A$ b. 2021.01.12_SCRATA_Cube_A$_1_S#Results.csv, $ SCRATA plates 1, 2, 4, #: sides of the cube 1 - 5. Results and settings for the side # of cube A$ c. 2020.11.11_SCRATA_Cube_$_Side#.pcd, $ SCRATA plate 3, #: sides of the cube 1 - 5. Point cloud of the side # of cube A3 d. 2020.11.11_SCRATA_Cube_$_Side#Results.csv, $ SCRATA plate 3, #: sides of the cube 1 - 5. Results and settings for the side # of cube A3 9. Noisy & Dense Old Method, Point clouds captured with the 3D Scanner #1 and analyzed with the old method. a. 2021.01.12_SCRATA_Cube_A$_1_S#.pcd, $ SCRATA plates 1, 2, 4, #: sides of the cube 1 - 5. Point cloud of the side # of cube A$ b. 2021.01.12_SCRATA_Cube_A$_1_S#.xls, $ SCRATA plates 1, 2, 4, #: sides of the cube 1 - 5. Results and settings for the side # of cube A$ c. 2020.11.11_SCRATA_Cube_$_Side#.pcd, $ SCRATA plate 3, #: sides of the cube 1 - 5. Point cloud of the side # of cube A3 d. 2020.11.11_SCRATA_Cube_$_Side#.xls, $ SCRATA plate 3, #: sides of the cube 1 - 5. Results and settings for the side # of cube A3 ### CODEBOOK For .xls files, cell B25 represents the Svr surface roughness in mm. For .csv files, cell B18 represents the Svr surface roughness in mm. #### VARIABLES ## METHODS AND MATERIALS The point cloud we analyzed by two different versions of the variogram roughness method. The old version (DOI 10.1007/s40962-020-00451-0) and a new version created in the paper using this data. Both methods utilize a variogram to determine the surface roughness of castings. The first method developed was presented in the paper mentioned above and is referred to the old method in the following text. This method utilized a 3D scan of a casting section with simple geometry to determine the surface roughness. The second method and here reffered to as new method utilizes a 3D scan of a whole casting to determine the surface roughness. ### DATA COLLECTION METHODS The point cloud data was collected using two different scanners seen in the equipment section. ### DATA PROCESSING METHODS The point clouds were cut to remove any excess surfaces as well as cutting the SCRATA cubes into individual sides. ### SOFTWARE Name: Cloud Compare URL:https://www.danielgm.net/cc/ ### EQUIPMENT Scanner 1 Manufacturer:FARO Model: FARO Edge and ScanArm Scanner 2 Manufacturer:Keyence Model: VL-500 ### LICENSING This work is licensed under the Creative Commons Attribution (CC-BY) 4.0 International License. For more information visit: [https://creativecommons.org/licenses/by/4.0 ](https://creativecommons.org/licenses/by/4.0)