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6
datasets available to search
ShareScore release 0.7.1
Dataset results
6 results for “CNC Machine”
Dataset: An Analytic Hierarchy Process-Based Multicriteria Model for Component Selection in a Computational Numerical Control (CNC) Machine
<p><i><strong>"An Analytic Hierarchy Process-Based Multicriteria Model for Component Selection in a Computational Numerical Control (CNC) Machine"</strong></i></p><p><i>CHILECON 2023 - </i><a href="https://site.ieee.org/chilesur/ieee-chilecon-2023/"><i>https://site.ieee.org/chilesur/ieee-chilecon-2023/</i></a><i> </i></p><p>---</p><p>En el marco del trabajo de referencia, los autores ponemos a disposición de los lectores la base de datos utilizada para el proceso de toma de decisión multicriterio para la selección del software y del MCU de una maquina CNC. </p><p>En el repositorio podrán encontrar los datos referentes a los criterios, subcriterios, indicadores, datos, fuentes de los datos extraídos, política de decisión, cálculos de las evaluaciones de los modelos AHP aplicados y el análisis de sensibilidad de estos. Además, podrán encontrar las gráficas utilizadas en el estudio en la mejor calidad posible. </p><p>El material fue puesto a disposición de todos los interesados para fines académicos y científicos. </p><p>Atte. </p><p>Los autores. </p><p>---</p>
Manufacturing of screw rotors via 5-axis double-flank CNC machining
<p>Each folder contains the mesh files of the target geometry (screw rotor) and of a corresponding custom-shaped tool. The motions of the tool are described as the CL files, where each line in these files contains the information about the tool tip (first 3 coordinates) and the unit vector of the tool's axis (last 3 coordinates).</p>
Geometry and tool motion planning for curvature adapted CNC machining
<p>Examples of 5-axis CNC machining tool paths and corresponding g-codes for a concave, convex and a freeform surface milling with a toroidal cutter (supported information for the paper "Geometry and tool motion planning for curvature adapted CNC machining", DOI 10.1145/3450626.3459837).</p> <p>In the 'path.txt' files, each line contains three numbers that are Euclidean coordinates of the contact points; in the 'positions.txt' files, each line contains six numbers: the first three being the coordinates of the centers of the torus and the other three being the coordinates of the unit axis vector of the tool, pointing outside the surface. </p>
CiP Discrete Manufacturing Dataset (CNC Miling Machine (Process Data))
<p>Dataset recorded in the process learning factory CiP at the Institute for Production Management, Technology and Machine Tools, TU Darmstadt for the purpose of demonstrating and testing InterQ developed solutions. It was used to demonstrate the framework's effectiveness in a case study, involving process monitoring of a real-world Computer Numerical Control milling process. The dataset includes accelerometer data and multiple types of realistic concept drifts. The uploaded file includes the link and password for accessing the dataset in PTW's cloud infrastructure.</p>
CiP Discrete Manufacturing Dataset (CNC Miling Machine (Process Data))
<p>Dataset recorded in the process learning factory CiP at the Institute for Production Management, Technology and Machine Tools, TU Darmstadt for the purpose of demonstrating and testing InterQ developed solutions. It was used to demonstrate the framework's effectiveness in a case study, involving process monitoring of a real-world Computer Numerical Control milling process. The dataset includes accelerometer data and multiple types of realistic concept drifts. The uploaded file includes the link and password for accessing the dataset in PTW's cloud infrastructure.</p><p> </p>
Digitization Workflow for Data Mining in Production Technology applied to a Feed Axis of a CNC Milling Machine
<p>Dataset accompanying the publication "Digitization Workflow for Data Mining in Production Technology<br>applied to a Feed Axis of a CNC Milling Machine" (<a title="Persistent link using digital object identifier" href="https://doi.org/10.1016/j.procs.2024.01.017" target="_blank" rel="noreferrer noopener"><span>https://doi.org/10.1016/j.procs.2024.01.017</span></a>).</p>
ScienceDex guides
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These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research datasets.
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OpenNeuro
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