ZivaHub + Deakin Research Online + DMU Figshare + HKU DataHub + Swinburne Figshare + DaYta Ya Rona + SUNScholarData + figshare + Loughborough Research Repository + GRANTS Data + UP Research Data Repository2026 · Astronomical catalogue
Supporting data for “Design and Additive Manufacturing of Alveolar-Inspired Metallic Porous Structures via Organic-Coordination Precursor Stereolithography”<p dir="ltr"><b>This dataset contains the supporting data for the manuscript entitled “Design and Additive Manufacturing of Alveolar-Inspired Metallic Porous Structures via Organic-Coordination Precursor Stereolithography”.</b></p><p dir="ltr"><b>Source_Data.xlsx</b> contains the numerical source data used to generate the quantitative plots presented in the main manuscript and Supplementary Materi
HKU DataHub + figshare + Loughborough Research Repository2026 · Astronomical catalogue · restricted
Dataset for A weighted multi-response optimization method of clamping position in shaft turning: A case study of parting-off<p dir="ltr">This repository contains the comprehensive experimental dataset supporting our research on the multi-response optimization of parting-off operations.</p><p><br></p><p dir="ltr">1. Project Context & Methodology:</p><p><br></p><p dir="ltr">The dataset encompasses machining responses—specifically cutting time, energy consumption, and surface roughness—collected from parting-off experimen
figshare + Loughborough Research Repository2026 · Astronomical catalogue
Deep Reinforcement Learning-Based Autonomous Machining System<p dir="ltr">The dataset contains the raw data for all figures, tables, and supplementary materials of the paper.</p>
figshare2026 · Astronomical catalogue
Dataset and Source Code for A weighted multi-response optimization method of clamping position in shaft turning: A case study of parting-off<p dir="ltr">This repository contains the comprehensive experimental dataset and custom Python source code supporting our research on the multi-response optimization of parting-off operations.</p><p dir="ltr">1. Project Context & Methodology:</p><p dir="ltr">The dataset encompasses machining responses—specifically cutting time, energy consumption, and surface roughness—collected from parting-off e
TUDOdata2026 · dataset · unknown
Simulation-Based Development and Experimental Validation of Tool-Integrated Rotary Particle DampersThe high-speed videos presented herein were acquired using a purpose-built analogy test setup and are intended to provide visual evidence of particle behavior within the segmented cavities of HSK63 cutting tool holders subjected to rotationally induced centripetal loading. The primary focus lies on a comparative assessment between conventionally designed particle dampers and damper configurations
Teesside University Research Data Repository2025 · dataset
A Sensor based turning dataset for data-driven surface roughness estimationMachining data for a particularly difficult-to-machine material, namely Inconel-625 is presented. Inconel is widely used in aerospace applications and is difficult to machine as unlike other materials, Inconel does not get softer with increasing temperature. This data set comprises of 27 sets of Accelerometer data and Dynamometer data acquired during the machining of Inconel -625 on a Kirloskar Tu
TUDOdata2025 · dataset · unknown
Analogieversuchsbasierte Auslegung partikelgedämpfter Werkzeugaufnahmen / Analogy-Based Design of Particle Damped Tool HoldersDie vorliegenden High-Speed-Videos sind der "Analogieversuchsbasierten Auslegung partikelgedämpfter Werkzeugaufnahmen" zuzuordnen. Im Speziellen erfolgte eine sinusförmige Anregung der beiden Systeme mit unterschiedlicher Wandungsstruktur im Eigenfrequenzbereich mithilfe eines Shakers. Dabei lassen sich adäquate Bewegungen der 50%igen WC-ZrO2-Partikelbefüllung (d = 0,4...0,6 mm; ρ = 6,06 g/cm³) er
TUDOdata2025 · dataset · unknown
Hochgeschwindigkeitsvideos zu "Simulationsgestützte Werkzeugauslegung zur Unterdrückung von Spansegmentierung durch die gezielte Spanraumbegrenzung" / High-speed videos related to “Simulation-based tool design for the suppression of chip segmentation through targeted chip space limitation"Die vorliegenden Hochgeschwindigkeitsvideos gehören zu der Dissertation von Sebastian Berger mit dem Titel: "Simulationsgestützte Werkzeugauslegung zur Unterdrückung von Spansegmentierung durch die gezielte Spanraumbegrenzung" und zeigen die Spanbildung der Titanlegierung Ti6Al4V und der Stahllegierung 51CrV4 bei der Zerspanung im freien orthogonalen Schnitt und beim begrenzten orthogonalen Schnit