Results 11 to 20 of about 756 (206)

Aero-Propulsive Interactions between UAV Wing and Distributed Propellers Due to Their Relative Position

open access: yesDrones, 2023
The purpose of this paper is the evaluation of the aero-propulsive effects on a UAV wing model with distributed propulsion. An array of three propellers is placed ahead of the leading edge of a rectangular wing with flap.
Danilo Ciliberti   +3 more
doaj   +1 more source

Investigation of the local heating effect on the aerodynamic forces over a cylinder at Reynolds [PDF]

open access: yesمهندسی مکانیک شریف, 2023
The interaction of the thermal and velocity boundary layers of 2D cylinder at is modeled in ANSYS Fluent. Heating elements different positions as well as various temperature effects on the flow characteristics are investigated. Temperature variation of
M.M. Falahi, N. Nabatian
doaj   +1 more source

Research on Development and Application of the Coflow Jet Technology

open access: yesHangkong gongcheng jinzhan, 2019
The coflow jet (CFJ) technology, as a new type of integrated flow control technology, has shown potentials in lift enhancement and drag reduction, stall characteristics improvement.
Zhang Minghao   +4 more
doaj   +1 more source

Numerical Study on the Drag Reduction for a D-Shaped Bluff Body with Wavy Trailing Edge Structures [PDF]

open access: yesJournal of Applied Fluid Mechanics
The intricate and complex flow structures of three-dimensional unsteady incompressible turbulence surrounding bluff bodies have garnered considerable attention from numerous researchers.
H. Yang, D. Luo, T. Wang
doaj   +1 more source

Effects of periodic suction-blowing excitation on the aerodynamic sound generated by a laminar flow past a square cylinder using the direct numerical simulation approach

open access: yesAIP Advances, 2022
This paper analyzes the effects of a periodic suction-blowing excitation on the aerodynamic sound generated by a laminar flow past a square cylinder using the direct numerical simulation approach.
Shashi Kumar   +2 more
doaj   +1 more source

Lift enhancement characteristics of distributed propulsion wing with propulsion-aerodynamic coupling

open access: yesKongqi donglixue xuebao
To reconcile the high-lift demands of short takeoff and landing (STOL) with the requirement for efficient cruise in unmanned aerial vehicles (UAVs), this paper presents a novel distributed propulsion wing lift enhancement configuration (DPWLEC) that ...
Jingting YANG   +3 more
doaj   +1 more source

A Simplified Laminar Flow Model for the Pultrusion of Glass Fiber/Polyethylene Terephthalate Commingled Yarns

open access: yesAdvanced Engineering Materials, EarlyView.
A simplified thermoplastic pultrusion model is developed to predict thermal fields in glass fiber/polyethylene terephthalate (GF/PET) composites with reduced computational cost. By combining effective material homogenization, validation against literature data, and Gaussian‐process‐based optimization, the study reveals how heating limits, pulling speed,
Elder Soares   +3 more
wiley   +1 more source

Creep‐Induced Microstructural Evolution in an A2‐B2 Superalloy

open access: yesAdvanced Engineering Materials, EarlyView.
A 27.3Ta‐27.3Mo‐27.3Ti‐8Cr‐10Al (at.%) refractory high‐entropy alloy with precipitation‐strengthened A2‐B2 microstructure was studied by creep tests at 1030°C, which demonstrate a transition in deformation mechanisms in the range of 100–150 MPa applied stress. This is associated with changes in dislocation–precipitate interactions. Relevant deformation
Liu Yang   +10 more
wiley   +1 more source

A Dislocation Perspective on Strength and Toughness in Ceramics

open access: yesAdvanced Engineering Materials, EarlyView.
Dislocations in ceramics enjoy a long but yet under‐appreciated history. The three research waves for dislocations in ceramics highlight the topic evolution over the last 90 years. This review focuses on the impact of dislocation on strength and toughness in ceramics.
Xufei Fang
wiley   +1 more source

Machine Learning‐Supported Analysis for Predicting and Visualizing Nonlinear Relationships Between Material Properties in Electroplated Chromium Layers

open access: yesAdvanced Engineering Materials, EarlyView.
This study applies machine learning regression to predict chromium layer thickness in decorative trivalent chromium electroplating, using 441 experiments from laboratory‐scale (1L) and pilot‐scale (14L) setups. Tree‐based models, particularly CatBoost, outperformed linear regression by capturing nonlinear parameter interactions (R2$R^2$ up to 0.77 ...
Christoph Baumer   +4 more
wiley   +1 more source

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