Results 81 to 90 of about 1,429 (230)

Predicting solar cell efficiencies using historical data from a manufacturing process

The Canadian Journal of Chemical Engineering, EarlyView.
Abstract The solar cell manufacturing data of a passivated emitter and rear cell solar cell manufacturing plant was studied to assess the effects of tool usage and the processing time spent on each tool on the solar cell efficiency. Since manufacturing processes involve several steps with multiple tools, tracing their quality parameters back to the ...
Sushmita Mittra, Vinay Prasad
wiley   +1 more source

Modelling of size recovery curves for minerals in teeter bed separator for processing iron ore fines

South African Journal of Chemical Engineering
Teeter bed separator has gained significant importance and appeared as a viable option for beneficiation of high alumina and low iron content Indian iron ore fines.
Biswakant Pradhan, Ipsita Dipamitra Behera, Satyabrata Mohanta, Bhim Charan Meikap   +3 more
doaj   +1 more source

Data‐driven simulation of crude distillation using Aspen HYSYS and comparative machine learning models

The Canadian Journal of Chemical Engineering, EarlyView.
Integrated Aspen HYSYS–machine learning framework for predicting product yields and quality variables. Abstract Crude oil refining is a complex process requiring precise modelling to optimize yield, quality, and efficiency. This study integrates Aspen HYSYS® simulations with machine learning techniques to develop predictive models for key refinery ...
Aldimiro Paixão Domingos, Heleno Bispo, Thiago Vaz da Costa, Sérgio Mauro da Silva Neiro   +3 more
wiley   +1 more source

Recent advances in boosting interfacial bubble dynamics with external fields

Droplet, EarlyView.
External physical fields, including acoustic, magnetic, thermal, mechanical, and optical stimuli, accelerate the entire bubble‐dynamics sequence of nucleation, growth, and detachment. Abstract The efficiency of industrial electrocatalytic reactions depends not only on generating gaseous products but also on their detachment from the catalyst surface ...
Wenlu Xie, Yanwei Zhang, Yi Liu, Yiming Wei, Jing‐Li Luo, Chenyu Xu   +5 more
wiley   +1 more source

Magnetohydrodynamics (MHD) flow of a tangent hyperbolic fluid with nanoparticles past a stretching sheet with second order slip and convective boundary condition

Results in Physics, 2017
This article presents the effect of thermal radiation on magnetohydrodynamic flow of tangent hyperbolic fluid with nanoparticle past an enlarging sheet with second order slip and convective boundary condition.
Wubshet Ibrahim
doaj   +1 more source

Blasting effects of cross‐fault deep‐buried excavation on adjacent existing tunnel stability

Deep Underground Science and Engineering, EarlyView.
Based on the theoretical analysis of cylindrical wave propagation in a deep rock mass in the fault with a filling layer, the calculation method of peak particle velocity caused by wave propagation in the existing tunnel is established. The viscoelastic characteristics of a rock mass are examined in the analysis.
Shaobo Chai, Lianzeng Chai, Chao Meng, Kai Liu, Lang Song, Shaojie Zheng   +5 more
wiley   +1 more source

Design of HAWT Rotor for Non‐Uniform Inflow Conditions: A Theoretical and Experimental Approach for Shear Flow

Energy Science &Engineering, EarlyView.
This paper aims to provide a robust design approach for HAWTs operating in shear flow. This study fills a critical research gap by integrating BEM and vortex theories for blade design in non‐homogeneous inflow conditions. The authors of the paper made an effort to develop and test an experimentally unsophisticated model of a turbine working in shear ...
Agnieszka Dorota Woźniak, Piotr Strzelczyk, Taeseong Kim   +2 more
wiley   +1 more source

Synergistic influence of gyrotactic microorganisms and bimolecular reaction on bidirectional tangent hyperbolic fluid with Nield boundary conditions: A biomathematical model

Partial Differential Equations in Applied Mathematics
In biomedical engineering, the behavior of gyrotactic microorganisms with non-Newtonian fluids such as tangent hyperbolic fluids improve the design of targeted drug delivery systems. In this system control over microorganism movement is essential.
Subhajit Panda, B. Nayak, Rupa Baithalu, S.R. Mishra   +3 more
doaj   +1 more source

Local Polynomial Regression and Filtering for a Versatile Mesh‐Free PDE Solver

International Journal for Numerical Methods in Fluids, EarlyView.
A high‐order, mesh‐free finite difference method for solving differential equations is presented. Both derivative approximation and scheme stabilisation is carried out by parametric or non‐parametric local polynomial regression, making the resulting numerical method accurate, simple and versatile. Numerous numerical benchmark tests are investigated for
Alberto M. Gambaruto
wiley   +1 more source

Artificial Neural Networks for Defining the Operational Parameters of Sand Filters for Irrigation

Irrigation and Drainage, EarlyView.
ABSTRACT The difficulty in defining the working configuration during the operation of sand filters arises from the complexity of the relationships among the variables in the filtration and backwashing processes. The objective was to use artificial neural networks to model the pressure loss and removal efficiency of filtration in a commercial sand ...
Mádilo Lages Vieira Passos, Fábio Ponciano de Deus, Evelise Roman Corbalan Góis Freire, Adriano Valentim Diotto, Michael Silveira Thebaldi   +4 more
wiley   +1 more source