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Hierarchical Data Format - 1.3 GB - MD5: 7e33a10e5c73cdfb7995bed95475105e
Data
Python Source Code - 16.2 KB - MD5: ca031ba5b6ebd1be16da840847bb64f7
Code
Hierarchical Data Format - 1.3 GB - MD5: 190871bb280c07db0f74626f3120552a
Data
Python Source Code - 10.7 KB - MD5: d78c8f90a39f4631d2ec8d26fca14173
Code
Hierarchical Data Format - 1.3 GB - MD5: e26f02286712d4620212e7c0811b69ca
Data
Python Source Code - 19.2 KB - MD5: f3de850fadab3a1fb4f65b272c9c6944
Code
This code is commented should be seen as an example for the other ones
Jul 17, 2025 - 2024_DFG_ZRA_Gleichlauf_verspannt
Steinle, Lukas, 2025, "Replication Data for: Compensation of the Transmission Errors in Electrically Preloaded Rack-and-Pinion Drives", https://doi.org/10.18419/DARUS-5160, DaRUS, V1, UNF:6:kkKMvMslLh6brhrMzSsgRw== [fileUNF]
This dataset contains all experimental data that is shown within the paper "Compensation of the Transmission Errors in Electrically Preloaded Rack-and-Pinion Drives". Large machine tools with long feed axes commonly utilize electrically preloaded rack-and-pinion drives, where two redundant drives on one axis are preloaded against each other by a de...
Tabular Data - 6.0 MB - 12 Variables, 40002 Observations - UNF:6:yQ1D++zVL0uOHV20mC+LBw==
Evaluation of the compensation of the path and preload errors for an exemplary linear motion with a velocity of 100 mm/s and 2500 N external force.
Tabular Data - 58.0 MB - 11 Variables, 440010 Observations - UNF:6:0ONuuTQzbTo8JEzBT751iQ==
Evaluation of the improvement of the path accuracy by the compensation for varying external loads and a velocity of 100 mm/s.
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