Results 41 to 50 of about 9,442,881 (279)

Optimization of the Production of Rubber Compounds Using Mathematical Models

open access: yesAdvanced Engineering Materials, EarlyView.
Rubber compounds were mixed in a batch internal mixer, and symbolic regression was used to derive mathematical models linking recipe and process parameters to ram path, torque, and mixing quality (incorporation, dispersion, distribution). Subsequent optimization with evolutionary algorithms identified operating conditions that reduce specific energy ...
Anke Bardehle   +7 more
wiley   +1 more source

The Dual Impact of Winglets and Serrations on UAV Aerodynamic and Acoustic Performance

open access: yesDrones
The rising use of UAVs in various applications has underscored the critical challenge of noise pollution and aerodynamic efficiency. This study explores the dual integration of winglets and serrations on UAV propellers to address these challenges ...
Adam Khalaf, John Kennedy
doaj   +1 more source

Blade optimal design parameters determination

open access: yesВестник СибАДИ, 2022
Introduction. In Kazakhstan in present time there is a large number of earthmoving works, which leads to an increase in the demand for earthmoving-transport machines (ETM), in particular bulldozers of different types.
N. T. Surashov   +2 more
doaj   +1 more source

Microstructure Reconstruction in Battery Electrodes Using Machine Learning Based on Low‐Voltage Focused Ion Beam–Scanning Electron Microscopy Tomography Images

open access: yesAdvanced Engineering Materials, EarlyView.
Low‐voltage FIB‐SEM tomography combined with a image preprocessing pipeline improves phase contrast and enables reliable machine‐learning segmentation of conductive networks in lithium‐ion battery electrodes. Structural descriptors are extracted from segmented images, done semimanually and automated, and compared.
Lisa Beran   +6 more
wiley   +1 more source

Numerical Investigations on the Effect of Blade Angles of a Vertical Axis Wind Turbine on its Performance Output [PDF]

open access: yes, 2015
There are many social, political and environmental issues associated with the use of fossil fuels. For this reason, there are numerous investigations currently being carried out to develop newer and renewable sources of energy to alleviate energy demand.
Park, Kyooseon   +2 more
core   +3 more sources

Improved Blade Design for Tidal Current Turbines

open access: yesEnergies, 2020
The efficiency and reliability of blades are key indicators for a tidal current turbine (TCT). A traditional blade design is often an empirical design on hydrodynamics and structure, sequentially. A hydrofoil with a low lift–drag ratio is considered when
Hongwei Liu   +5 more
doaj   +1 more source

Blade shape optimization of Savonius wind turbine using radial based function model and marine predator algorithm

open access: yesEnergy Reports, 2022
In order to overcome the problems of low efficiency and poor results of classical optimization methods, an efficient, intelligent, and reliable method for optimizing the shape of the blades of the Savonius wind turbine is proposed in this paper. Firstly,
Huaijie Xia   +4 more
doaj   +1 more source

A software tool for blade design

open access: yesEPJ Web of Conferences, 2022
An interactive software tool for blade design of axial flow machines was created. It is written as an extension module to the open-source software FreeCAD. In its graphical interface, the user can modify the blade profiles, stack them to create the whole blade and generate end walls and other stage features.
openaire   +2 more sources

Influence of Scan Strategies in Electron Beam Powder Bed Fusion on Solidification, Microstructure, and High‐Temperature Compressive Properties of γ′‐Strengthened Inconel 738LC

open access: yesAdvanced Engineering Materials, EarlyView.
Experiments and thermophysical simulations were conducted to investigate the electron beam powder bed fusion electron beam (PBF‐EB/M) process for the γ′‐strengthened nickel‐based superalloy Inconel 738LC. The results demonstrate the impact of process‐induced microstructural variations on high‐temperature mechanical behavior, providing a basis for ...
Jan Niklas Petenati   +11 more
wiley   +1 more source

A Multivariate Machine Learning Approach for the Prediction of Wind Turbine Blade Structural Dynamics

open access: yesApplied System Innovation
Wind turbine blade structural dynamics are crucial in the turbine structural design phase. Blade deflections and loads can affect the weight of the rotor as well as the power performance of a wind turbine if the deflections are extremely high ...
Amr Ismaiel
doaj   +1 more source

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