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1,951 to 1,960 of 2,790 Results
Tabular Data - 1.4 MB - 9 Variables, 10981 Observations - UNF:6:BDSPWXxWzva2fPpbuI3pJQ==
Contour that is executed with the new impact control system
Tabular Data - 731.7 KB - 9 Variables, 5000 Observations - UNF:6:ADtSP0zGQ3KDPflsH9GVQw==
Contour that is executed with the new impact control system but without reset of velocity controller
Tabular Data - 1.4 MB - 9 Variables, 10981 Observations - UNF:6:Ddfw7nsKhASY0wJAQeunkQ==
Contour that is executed with the new impact control system but without reset of velocity controller
Tabular Data - 733.8 KB - 9 Variables, 5000 Observations - UNF:6:Y9vIavySPrLI2T6E01HqcQ==
Contour that is executed with the previous impact control system
Tabular Data - 1.4 MB - 9 Variables, 10981 Observations - UNF:6:BVGJjb0EES9OnfqkPahAzg==
Contour that is executed with the previous impact control system
Mar 28, 2024 - ISW Timo König Cornuspline path planning algorithm for the fabrication of coreless wound fibre-polymer composite structures
König, Timo, 2024, "Replication Data for: Cornuspline path planning algorithm for the fabrication of coreless wound fiber-polymer composite structures", https://doi.org/10.18419/DARUS-3577, DaRUS, V1, UNF:6:LRhHzlkFvUo/LckJmnuntQ== [fileUNF]
This dataset contains all the validation data that presented within the paper "Cornuspline path planning algorithm for the fabrication of coreless wound fiber-polymer composite structures". This paper presents a spline path planning algorithm based on clothoids. This algorithm considers both the process requirements and the dynamic characteristics...
Tabular Data - 3.5 MB - 2 Variables, 108776 Observations - UNF:6:W2YaeHvzw1TQaW9CpMLnqA==
Tabular Data - 369.4 KB - 2 Variables, 11149 Observations - UNF:6:/JToM5g8YBfUUk0nN51FYQ==
Tabular Data - 371.0 KB - 2 Variables, 11118 Observations - UNF:6:RsitnBjb+P2d2XDNucKO+w==
Mar 21, 2024 - 2019_DFG_ZRA_Gleichlaufkompensation
Steinle, Lukas, 2024, "Replication Data for: Learning Compensation of the State-Dependent Transmission Errors in Rack-and-Pinion Drives", https://doi.org/10.18419/DARUS-3759, DaRUS, V1, UNF:6:yyyPRR4Wz8WOv1lj5nOToA== [fileUNF]
This dataset contains all experimental data that is shown within the paper "Learning Compensation of the State-Dependent Transmission Errors in Rack-and-Pinion Drives". Rack-and-pinion drives are commonly used in large machine tools to provide linear motion of heavy loads over long travel distances. A key concern in this context is the achievable p...
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