Finite element investigations on the microstructure of fibre-reinforced composites

“…The effect of residual stress due to the curing process on damage evolution in unidirectional (UD) fibre-reinforced polymer-matrix composites under longitudinal and transverse loading has been investigated using a three-dimensional micromechanical representative volume element (RVE) model with a hexagonal packing geometry and the finite element method. …”
Get full text

MULTI–CRITERIA OPTIMIZATION OF A PRODUCT RECIPE COMPOSITION by Marina A. Nikitina, Irina M. Chernukha

“…The use of the IT-technologies realized by the methods of multi-criteria structure optimization and mathematical programming allows correcting and optimizing food recipes by different criteria of the non-linear character, structuring the obtained set of alternatives and detecting the optimal food recipe option with the targeted quality, composition and properties or a diet for a particular population category with consideration for the therapeutic and prophylactic direction.…”
Get full text

Evaluation of Partial Factorization for Reduction of Finite Element Matrices by Pawel JARZĘBSKI, Krzysztof WIŚNIEWSKI

Get full text

Central composite design for the removal of copper by an Adansonia digitata by Naveen Prasad, Rakesh Namdeti, Gaddala Baburao, Doaa Salim Musallam Samhan Al-Kathiri, Uma Reddy Meka, Khalid Mahad Ali Tabook, Arlene Abuda Joaquin

“…The percentage of metal clearance (CCD) was examined as a result of the influence of various process parameters utilizing a central composite design. A quadratic model based on the CCD was used to model the reaction. …”
Get full text

Optimization of a new catalyst composition for trimerization of ethylene by Mohammad Javad Sharifi, Alireza Fazlali, Seyed Hamed Mahdaviani, Davood soudbar

“…The effect of four variables Al/Cr molar ratio, halide/Cr molar ratio, reaction temperature and catalyst dosage have been considered on catalyst activity, 1-hexene selectivity and polymer content. The central composite design (CCD) model with three main parameters in three response levels for each factor was applied to analyze the effects of the parameters. …”
Get full text

The Impact of Initial Composition on Massive Star Evolution and Nucleosynthesis by Christopher West, Alexander Heger, Benoit Côté, Lev Serxner, Haoxuan Sun

“…We find that the compositions from the GCH model better reproduce the weak s -process peak than the scaled solar models. …”
Get full text

Downscaling of the surface temperature forecasts based on deep learning approaches by Guangdi Chen, Xiefei Zhi, Shuyan Ding, Gen Wang, Liqun Zhou, Dexuan Kong, Tao Xiang, Yanhe Zhu

“…Additionally, a mean square error decomposition method was used to further diagnose the sources of errors in different models, revealing their ability to calibrate various error sources. …”
Get full text

Effects of Ply Misalignment in Material Characterization of Composite Laminates by Michael Franz, Racim Radjef, Boris Eisenbart, Sandro Wartzack

Get full text

Optimization of Structures and Composite Materials: A Brief Review by André Ferreira Costa Vieira, Marcos Rogério Tavares Filho, João Paulo Eguea, Marcelo Leite Ribeiro

“…The main objective of this paper is to present how neural networks can help speed up the process of optimizing the geometries and composition of composite structures (dimension, topology, volume fractions, reinforcement architecture, matrix/reinforcement composition, etc.) compared to the traditional optimization methods. …”
Get full text

Behavior of Carbon-Carbon Composite under Intense Heating by R. Palaninathan

“…This paper is concerned with modeling of ablation behavior of carbon-carbon composites used in hot spot areas of reentry space and hypersonic vehicles. …”
Get full text

Multicomponent body composition of university club sport athletes by Dale R. Wagner, Edward M. Heath, Sara A. Harper, Elizabeth A. Cafferty, Masaru Teramoto, Alyssa Evans, Tate Burch, Jacob McBride, Steven Spencer, Michael N. Vakula

“…Additionally, the majority of norms for NCAA athletes were created from individual methods requiring assumptions.Objective This study used a four-component (4C) model to measure the body composition of university club sports athletes.Methods Data were collected on club athletes participating in baseball, climbing, cycling, figure skating, gymnastics, ice hockey, lacrosse, pickleball, powerlifting, racquetball, rodeo, rugby, soccer, swimming, ultimate, and volleyball. …”
Get full text

Application of ANN in the Performance Evaluation of Composite Recycled Mortar by Shichao Zhao, Yaohua Liu, Geng Xu, Hao Zhang, Feng Liu, Binglei Wang

“…To promote the large-scale utilization of construction and industrial solid waste in engineering, this study focuses on developing accurate prediction and optimization methods for the unconfined compressive strength (UCS) of composite recycled mortar. …”
Get full text

Analysis and 15-Year Projections of the Global Burden of Tension-Type Headache by Sex from 1990 to 2021: A Systematic Review of GBD 2021 Data by Xu H, Qin X, Zhao G, Feng Z, You S

“…Through temporal trend analysis and predictive modeling, we provide insights into future TTH disease trajectories, aiding global public health policy formulation and healthcare resource allocation.Keywords: tension-type headache, gender differences, disease burden decomposition, joinpoint regression analysis, epidemiological trends, predictive modeling…”
Get full text

Curcumin Microemulsions: Influence of Compositions on the Dermal Penetration Efficacy by Muzn Alkhaldi, Soma Sengupta, Cornelia M. Keck

“…<b>Background/Objective</b>: This study provided a comparison of the influence of each component of the microemulsion formulation and investigated the impact of varying concentrations of the microemulsion components on curcumin’s ability to penetrate the skin using an ex vivo porcine ear model. <b>Methods</b>: Curcumin microemulsions with different compositions were prepared and analyzed for their physicochemical properties. …”
Get full text

A Multi-Objective Optimization Design Method for High-Aspect-Ratio Wing Structures Based on Mind Evolution Algorithm Backpropagation Surrogate Model by Jin Nan, Junhua Zheng, Bochuan Jiang, Yuhang Li, Jiayun Chen, Xuanqing Fan

“…This approach was further enhanced by the mind evolution algorithm (MEA) to optimize the solution performance of the surrogate model. The wing structure optimization model was established using the multi-objective grey wolf optimizer (MOGWO) based on the surrogate model for search and optimization. …”
Get full text

Unveiling the Impact of Processing Methods on In Vitro Protein Digestibility: A Focus on Highland Barley and Its Application in Wine Production by Mengchuan He, Xinjing Zhou, András Koris, Bingyu Chen, Xuchun Zhu, Feiyue Ren, Hongzhi Liu

“…It summarises their composition, digestibility and functional properties. …”
Get full text

Influence of additional polymerization in the microhardness of direct composite resins by Geraldo Henrique L. Lombardo, Cristiane F. Carvalho, Graziela Galhano, Rodrigo Othávio A. Souza, Lafayete N. Júnior, Carlos Augusto Pavanelli

“…Objective: To evaluate different methods of additional polymerization in the Vickers’ microhardness of three composite resins. …”
Get full text

ARCHITECTONICS AND COMPOSITION OF LITERARY TEXT AS ELEMENTS OF AUTHOR’S IDIOSTYLE by Iryna A. Sydorenko

“…Apart from that, the principal research methods of compositional analysis as well as key research stages of the methodological procedure have been investigated. …”
Get full text

Multiscale design and fabrication of neutron shielding composites via boron-based polymers and layer-by-layer assembly of graphene oxide/B₄C on carbon fiber by Yizhuo Gu, Benben Liu, Zhongjia Yang, Shaokai Wang, Min Li

“…However, the filtering effect of fiber bundles on the functional fillers reduces the shielding properties of the composites. This study enhances neutron shielding properties by developing a B-containing polymer matrix through blending B-phenolic/epoxy with trimethoxyboroxine, followed by the deposition of B₄C/GO multilayers on carbon fibers using a layer-by-layer (LBL) self-assembly method. …”
Get full text

Achieving excellent mechanical properties in CoNiCrMo multi-principal element alloys: A comprehensive approach integrating mean square atomic displacement and machine learning meth... by Yang Long, Wei Fang, Haoyang Yu, Tiexu Peng, Cong Li, Weiguang Liu, Chang Liu, Qinghe Jia, Yushui Chen, Jia Li, Fuxing Yin

“…Mean square atomic displacement (MSAD) serves as a key parameter for obtaining high lattice distortion, and solvus temperature (ST) is used as a key indicator to evaluate the stability of FCC phases, which are the two main indicators we focus on in alloy screening using ML methods. The results indicate electronegativity difference is the descriptor of the highest importance in the lattice distortion prediction of the ML model. …”
Get full text