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91 to 100 of 210 Results
q_scanner.csv
Oct 28, 2025 - Replication Data for: Real-time capable feedrate optimization for laser processes with redundant axes via two-stage regularized linear programming
Tabular Data - 82.6 KB - 2 Variables, 2001 Observations - UNF:6:FcfOlXRIM7TenM//qr09/w==
q_scanner.csv
Oct 28, 2025 - Replication Data for: Real-time capable feedrate optimization for laser processes with redundant axes via two-stage regularized linear programming
Tabular Data - 82.6 KB - 2 Variables, 2001 Observations - UNF:6:xcRQeknmoXs59pQ5dYzwZw==
tcp_toolpath.csv
Oct 28, 2025 - Replication Data for: Real-time capable feedrate optimization for laser processes with redundant axes via two-stage regularized linear programming
Tabular Data - 80.4 KB - 2 Variables, 2001 Observations - UNF:6:uQBg4EUpTQ5J6GB672FeYg==
Replication Data for: Increasing Dynamic Accuracy using Predictive Feedforward with Hybrid Modeling
Sep 23, 2025
Hinze, Christoph; Xu, Haijia, 2025, "Replication Data for: Increasing Dynamic Accuracy using Predictive Feedforward with Hybrid Modeling", https://doi.org/10.18419/DARUS-4513, DaRUS, V1
Experimental dataset for model identification and validation of feedforward control on a five-axis milling machine. This dataset belongs to the Open Access publication "Increasing dynamic accuracy of machine tools using predictive feedforward optimization with hybrid modeling" (doi: 10.1016/j.rcim.2025.103137) A detailed description of the setup ca...
bf-base.csv
Sep 23, 2025 - Replication Data for: Increasing Dynamic Accuracy using Predictive Feedforward with Hybrid Modeling
Comma Separated Values - 7.8 MB - MD5: 81abd2765349d6f2e061d846a253e46a
bf-mpffc-nom.csv
Sep 23, 2025 - Replication Data for: Increasing Dynamic Accuracy using Predictive Feedforward with Hybrid Modeling
Comma Separated Values - 7.8 MB - MD5: 662c6dd206dc35ea12c3df0ee5747f59
bf-mpffc-tuned.csv
Sep 23, 2025 - Replication Data for: Increasing Dynamic Accuracy using Predictive Feedforward with Hybrid Modeling
Comma Separated Values - 7.8 MB - MD5: ccb8e2fb71c21b807aa8ac22ec3501ed
butterfly.gcode
Sep 23, 2025 - Replication Data for: Increasing Dynamic Accuracy using Predictive Feedforward with Hybrid Modeling
Unknown - 31.7 KB - MD5: 62a9b1c011f41581620cf26d52b00ddc
const_velocity_base-70.csv
Sep 23, 2025 - Replication Data for: Increasing Dynamic Accuracy using Predictive Feedforward with Hybrid Modeling
Comma Separated Values - 3.4 MB - MD5: 9f99728afef258eb9284a3eac29298ef
const_velocity_base-80.csv
Sep 23, 2025 - Replication Data for: Increasing Dynamic Accuracy using Predictive Feedforward with Hybrid Modeling
Comma Separated Values - 3.4 MB - MD5: 6d70bb21fc7e345ac4934cc127168fc0
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