Self-feature-based point cloud registration method with a novel convolutional Siamese point net for optical measurement of blade profile

Xie, Luofeng; Zhu, Yangyang; Yin, Ming; Wang, Zongping; Ou, Dengying; Zheng, Hongbo; Liu, Haohao; Yin, Guofu

doi:10.1016/j.ymssp.2022.109243

Cited by 48 publications

(19 citation statements)

References 20 publications

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“…The complex feature of the hypersonic flow nearby the nose cone is important challenge for the evaluation of the thermal efficiency of these proposed techniques 3 , 4 . Besides, the production of the shock with air dissociation also intensifies the complexity of the flow physic in the vicinity of the nose cone 5 .…”

Section: Introductionmentioning

confidence: 99%

Numerical investigation of compressible flow around nose cone with Multi-row disk and multi coolant jets

Iranmanesh

Alizadeh

Faraji

et al. 2023

Sci Rep

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Due to sever aerodynamic heating, the protection of forebody of scramjet is crucial for hypersonic flight. In present work, a new cooling system is proposed and investigated for the protection of nose cone at hypersonic flight. Computational fluid dynamic is used for the simulation of the lateral and axial coolant jet released from the spike at high-velocity condition. The primary goal is to find optimum jet location for efficient cooling of nose and spike assembly. Influence of two coolant jets (Carbon dioxide and Helium) on the mechanism of cooling system are fully investigated. For simulation, RANS equations are coupled with species transport equation and SST turbulence model. Two different jet configurations (axial disk positions) are investigated to obtain efficient condition for protection of nose cone at hypersonic flight. Our results indicate that the presence of the spike on the nose cone decreases pressure up to 33% on the main body and the shifts the maximum pressure to higher angles because of the deflection of the air stream. Maximum pressure drops about 50% by injection of the coolant disk jet (C2) at angle of 55 deg.

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Section: Introductionmentioning

confidence: 99%

Numerical investigation of compressible flow around nose cone with Multi-row disk and multi coolant jets

Iranmanesh

Alizadeh

Faraji

et al. 2023

Sci Rep

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“…A grid-independent analysis was performed for the blade geometry, using simulation results that were adequately grid-independent [ 40 ]. The tetrahedral meshing of the blade was generated and is shown in Figure 3 .…”

Section: Methodsmentioning

confidence: 99%

Optimization and Experimental Investigation of 3D Printed Micro Wind Turbine Blade Made of PLA Material

Arivalagan¹,

Rajakumar

Čep

et al. 2023

Materials

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This paper presents the design, development, and optimization of a 3D printed micro horizontal axis wind turbine blade made of PLA material. The objective of the study was to produce 100 watts of power for low-wind-speed applications. The design process involved the selection of SD7080 airfoil and the determination of the material properties of PLA and ABS. A structural analysis of the blade was carried out using ANSYS software under different wind speeds, and Taguchi’s L16 orthogonal array was used for the experiments. The deformation and equivalent stress of the PLA material were identified, and the infill percentage and wind speed velocity were optimized using the moth-flame optimization (MFO) algorithm. The results demonstrate that PLA material has better structural characteristics compared to ABS material. The optimized parameters were used to fabricate the turbine blades using the fusion deposition modeling (FDM) technique, and they were tested in a wind tunnel.

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“…A projection matrix computed from training data is employed to map the finger-vein images into subspace, and the resulting features are further used for recognition. The typical methods include principal component analysis (PCA) (Wu and Liu, 2011a ), two dimensional principal component analysis (2DPCA) (Qiu et al, 2016 ), two-directional and two-dimensional principal component analysis ((2D)2PCA) (Yang et al, 2012 ; Li et al, 2017 ; Zhang et al, 2021 ; Ban et al, 2022 ; She et al, 2022 ), linear discriminant analysis (LDA) (Wu and Liu, 2011b ), high-dimensional state space (Zhang et al, 2022 ), self-feature-based method (Xie et al, 2022 ), and latent factor model (Wu et al, 2022 ).…”

Section: Introductionmentioning

confidence: 99%

A deep ensemble learning method for single finger-vein identification

Liu

Qin²,

Song³

et al. 2023

Front. Neurorobot.

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Finger-vein biometrics has been extensively investigated for personal verification. Single sample per person (SSPP) finger-vein recognition is one of the open issues in finger-vein recognition. Despite recent advances in deep neural networks for finger-vein recognition, current approaches depend on a large number of training data. However, they lack the robustness of extracting robust and discriminative finger-vein features from a single training image sample. A deep ensemble learning method is proposed to solve the SSPP finger-vein recognition in this article. In the proposed method, multiple feature maps were generated from an input finger-vein image, based on various independent deep learning-based classifiers. A shared learning scheme is investigated among classifiers to improve their feature representation captivity. The learning speed of weak classifiers is also adjusted to achieve the simultaneously best performance. A deep learning model is proposed by an ensemble of all these adjusted classifiers. The proposed method is tested with two public finger vein databases. The result shows that the proposed approach has a distinct advantage over all the other tested popular solutions for the SSPP problem.

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Self-feature-based point cloud registration method with a novel convolutional Siamese point net for optical measurement of blade profile

Cited by 48 publications

References 20 publications

Numerical investigation of compressible flow around nose cone with Multi-row disk and multi coolant jets

Numerical investigation of compressible flow around nose cone with Multi-row disk and multi coolant jets

Optimization and Experimental Investigation of 3D Printed Micro Wind Turbine Blade Made of PLA Material

A deep ensemble learning method for single finger-vein identification

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