School of Mechanical and Aerospace Engineering (MAE)

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11 to 20 of 44 Results

Related Data for: Flow characterization of supersonic jets issuing from double-beveled nozzles Oct 4, 2024 - LIM Haoxiang Desmond Lim, Haoxiang Desmond, 2024, "Related Data for: Flow characterization of supersonic jets issuing from double-beveled nozzles", https://doi.org/10.21979/N9/WTNLFH, DR-NTU (Data), V1 Schlieren images of Md=1.45 supersonic jet
Related Data for: Supersonic PIV measurements of over-expanded beveled jets Oct 4, 2024 - LIM Haoxiang Desmond Lim, Haoxiang Desmond, 2024, "Related Data for: Supersonic PIV measurements of over-expanded beveled jets", https://doi.org/10.21979/N9/0SIHAA, DR-NTU (Data), V1 PIV data of over-expanded supersonic jet
Related Data for: Development of schlieren-image based flow diagnostics and analysis for supersonic jet flows Oct 4, 2024 - LIM Haoxiang Desmond Lim, Haoxiang Desmond, 2024, "Related Data for: Development of schlieren-image based flow diagnostics and analysis for supersonic jet flows", https://doi.org/10.21979/N9/XBIH1S, DR-NTU (Data), V1 Time-resolved schlieren images of Md=1.45 supersonic jets. The perfectly expanded pressure condition is NPR=3.4.
Related Data for: Development of schlieren-image based flow diagnostics and analysis for supersonic jet flows Oct 4, 2024 - LIM Haoxiang Desmond Lim, Haoxiang Desmond, 2024, "Related Data for: Development of schlieren-image based flow diagnostics and analysis for supersonic jet flows", https://doi.org/10.21979/N9/0J3RVA, DR-NTU (Data), V1 TRPIV of indeterminate-origin (IO) jets at Re=5000, performed in SJTU.
Related Data for: Development of high order WENO schemes for large-eddy simulation of compressible flows in OpenFOAM Oct 3, 2024 - U S VEVEK Vevek, U S, 2024, "Related Data for: Development of high order WENO schemes for large-eddy simulation of compressible flows in OpenFOAM", https://doi.org/10.21979/N9/TKYQI6, DR-NTU (Data), V1 Raw LES data for NPR=4 supersonic jet from circular nozzle.
Replication Data for: Collisions of vortex rings with hemispheres Sep 25, 2024 - XU Bowen New, T. H.; Xu, Bowen; Shi, Shengxian, 2024, "Replication Data for: Collisions of vortex rings with hemispheres", https://doi.org/10.21979/N9/0MLY8J, DR-NTU (Data), V1 The data support the findings in the paper of "Collisions of vortex rings with hemispheres".
Tracing curves in the plane: geometric-invariant learning from human demonstrations Sep 21, 2024 - TURLAPATI Sri Harsha Turlapati, Sri Harsha, 2024, "Tracing curves in the plane: geometric-invariant learning from human demonstrations", https://doi.org/10.21979/N9/QLAMWF, DR-NTU (Data), V2 The empirical laws governing human-curvilinear movements have been studied using various relationships, including minimum jerk, the 2/3 power law, and the piecewise power law. These laws quantify the speed-curvature relationships of human movements during curve tracing using crit...
Data for: Haptic Manipulation of 3D Scans for Geometric Feature Enhancement (Refining 3D scan of a surface by manual haptic exploration) Sep 16, 2024 - TURLAPATI Sri Harsha Turlapati, Sri Harsha; Accoto, Dino; Domenico, Campolo, 2024, "Data for: Haptic Manipulation of 3D Scans for Geometric Feature Enhancement (Refining 3D scan of a surface by manual haptic exploration)", https://doi.org/10.21979/N9/S2JEGS, DR-NTU (Data), V1 Object localisation, shape estimation, feature detection are important sub-tasks in overarching applications like industrial tooling, assembly, manufacturing and re-manufacturing which might require robotic automation through manipulation. 3D vision techniques provide robust solu...
Dataset for: Deep-Learning-Based Digital Twin Method for Personalized Optimization and Health Monitoring of Electric Vehicles Aug 21, 2024 - LYU Chen Lyu, Chen, 2024, "Dataset for: Deep-Learning-Based Digital Twin Method for Personalized Optimization and Health Monitoring of Electric Vehicles", https://doi.org/10.21979/N9/1GX2YP, DR-NTU (Data), V1 Dataset for Project "Deep-Learning-Based Digital Twin Method for Personalized Optimization and Health Monitoring of Electric Vehicles"
Supersonic Impinging Jet Flat Wall OpenFOAM Aug 19, 2024 - Rion YOU You, Rion Guang Yi, 2024, "Supersonic Impinging Jet Flat Wall OpenFOAM", https://doi.org/10.21979/N9/NDJUSJ, DR-NTU (Data), V1 Supersonic Impinging Jet Ma = 1.45 NPR = 4 H = 1.5D Medium Mesh 16M Cells OpenFOAM V2112

Related Data for: Flow characterization of supersonic jets issuing from double-beveled nozzles

Oct 4, 2024 - LIM Haoxiang Desmond

Lim, Haoxiang Desmond, 2024, "Related Data for: Flow characterization of supersonic jets issuing from double-beveled nozzles", https://doi.org/10.21979/N9/WTNLFH, DR-NTU (Data), V1

Schlieren images of Md=1.45 supersonic jet

Related Data for: Supersonic PIV measurements of over-expanded beveled jets

Oct 4, 2024 - LIM Haoxiang Desmond

Lim, Haoxiang Desmond, 2024, "Related Data for: Supersonic PIV measurements of over-expanded beveled jets", https://doi.org/10.21979/N9/0SIHAA, DR-NTU (Data), V1

PIV data of over-expanded supersonic jet

Related Data for: Development of schlieren-image based flow diagnostics and analysis for supersonic jet flows

Oct 4, 2024 - LIM Haoxiang Desmond

Lim, Haoxiang Desmond, 2024, "Related Data for: Development of schlieren-image based flow diagnostics and analysis for supersonic jet flows", https://doi.org/10.21979/N9/XBIH1S, DR-NTU (Data), V1

Time-resolved schlieren images of Md=1.45 supersonic jets. The perfectly expanded pressure condition is NPR=3.4.

Related Data for: Development of schlieren-image based flow diagnostics and analysis for supersonic jet flows

Oct 4, 2024 - LIM Haoxiang Desmond

Lim, Haoxiang Desmond, 2024, "Related Data for: Development of schlieren-image based flow diagnostics and analysis for supersonic jet flows", https://doi.org/10.21979/N9/0J3RVA, DR-NTU (Data), V1

TRPIV of indeterminate-origin (IO) jets at Re=5000, performed in SJTU.

Related Data for: Development of high order WENO schemes for large-eddy simulation of compressible flows in OpenFOAM

Oct 3, 2024 - U S VEVEK

Vevek, U S, 2024, "Related Data for: Development of high order WENO schemes for large-eddy simulation of compressible flows in OpenFOAM", https://doi.org/10.21979/N9/TKYQI6, DR-NTU (Data), V1

Raw LES data for NPR=4 supersonic jet from circular nozzle.

Replication Data for: Collisions of vortex rings with hemispheres

Sep 25, 2024 - XU Bowen

New, T. H.; Xu, Bowen; Shi, Shengxian, 2024, "Replication Data for: Collisions of vortex rings with hemispheres", https://doi.org/10.21979/N9/0MLY8J, DR-NTU (Data), V1

The data support the findings in the paper of "Collisions of vortex rings with hemispheres".

Tracing curves in the plane: geometric-invariant learning from human demonstrations

Sep 21, 2024 - TURLAPATI Sri Harsha

Turlapati, Sri Harsha, 2024, "Tracing curves in the plane: geometric-invariant learning from human demonstrations", https://doi.org/10.21979/N9/QLAMWF, DR-NTU (Data), V2

The empirical laws governing human-curvilinear movements have been studied using various relationships, including minimum jerk, the 2/3 power law, and the piecewise power law. These laws quantify the speed-curvature relationships of human movements during curve tracing using crit...

Data for: Haptic Manipulation of 3D Scans for Geometric Feature Enhancement (Refining 3D scan of a surface by manual haptic exploration)

Sep 16, 2024 - TURLAPATI Sri Harsha

Turlapati, Sri Harsha; Accoto, Dino; Domenico, Campolo, 2024, "Data for: Haptic Manipulation of 3D Scans for Geometric Feature Enhancement (Refining 3D scan of a surface by manual haptic exploration)", https://doi.org/10.21979/N9/S2JEGS, DR-NTU (Data), V1

Object localisation, shape estimation, feature detection are important sub-tasks in overarching applications like industrial tooling, assembly, manufacturing and re-manufacturing which might require robotic automation through manipulation. 3D vision techniques provide robust solu...

Dataset for: Deep-Learning-Based Digital Twin Method for Personalized Optimization and Health Monitoring of Electric Vehicles

Aug 21, 2024 - LYU Chen

Lyu, Chen, 2024, "Dataset for: Deep-Learning-Based Digital Twin Method for Personalized Optimization and Health Monitoring of Electric Vehicles", https://doi.org/10.21979/N9/1GX2YP, DR-NTU (Data), V1

Dataset for Project "Deep-Learning-Based Digital Twin Method for Personalized Optimization and Health Monitoring of Electric Vehicles"

Supersonic Impinging Jet Flat Wall OpenFOAM

Aug 19, 2024 - Rion YOU

You, Rion Guang Yi, 2024, "Supersonic Impinging Jet Flat Wall OpenFOAM", https://doi.org/10.21979/N9/NDJUSJ, DR-NTU (Data), V1

Supersonic Impinging Jet Ma = 1.45 NPR = 4 H = 1.5D Medium Mesh 16M Cells OpenFOAM V2112

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