Flexural Performance of Sandwich Insulation Wall Panels Connected by Steel and GFRP DOI
Chunquan Dai, Mingxin Huang,

Mingfa Hou

и другие.

Опубликована: Янв. 1, 2024

Язык: Английский

Multi-objective optimization of electrical discharge machining parameters using particle swarm optimization DOI Creative Commons
C.J. Luis Pérez

Applied Soft Computing, Год журнала: 2024, Номер 153, С. 111300 - 111300

Опубликована: Янв. 22, 2024

This manuscript presents an efficient multi-objective optimization method based on using particle swarm together with a desirability function that can be applied where the response variables may have opposite behavior and range of variation independent as well those responses are subjected to constraints, which has great deal industrial interest. For example, maintaining roughness dimensional tolerances within tolerance is determined by design requirements manufactured parts (shape errors, microgeometry etc.) these must met in manufacture parts. It demonstrated it possible obtain optimal results ranges considered for variables, regard obtained experimentation. Similarly, models Adaptive Network-based Fuzzy Inference Systems used solve problem arise from inadequate fitting regression models. Thus, thanks this present study fast available multiple-optimization subject constraints both experiments modelled means soft computing techniques. Furthermore, also technology tables various manufacturing processes, interest technological point view so most suitable processing conditions.

Язык: Английский

Процитировано

17

Investigating horn power and impact of sonication on TiO2@cotton composites with machine learning and computer vision DOI
Muhammad Tayyab Noman, Nesrine Amor, Michal Petrů

и другие.

Measurement, Год журнала: 2025, Номер unknown, С. 117424 - 117424

Опубликована: Март 1, 2025

Язык: Английский

Процитировано

1

A 30-Year Review on Nanocomposites: Comprehensive Bibliometric Insights into Microstructural, Electrical, and Mechanical Properties Assisted by Artificial Intelligence DOI Open Access
Fernando Gomes de Souza, Shekhar Bhansali, Kaushik Pal

и другие.

Materials, Год журнала: 2024, Номер 17(5), С. 1088 - 1088

Опубликована: Фев. 27, 2024

From 1990 to 2024, this study presents a groundbreaking bibliometric and sentiment analysis of nanocomposite literature, distinguishing itself from existing reviews through its unique computational methodology. Developed by our research group, novel approach systematically investigates the evolution nanocomposites, focusing on microstructural characterization, electrical properties, mechanical behaviors. By deploying advanced Boolean search strategies within Scopus database, we achieve meticulous extraction in-depth exploration thematic content, methodological advancement in field. Our uniquely identifies critical trends insights concerning microstructure, attributes, performance. The paper goes beyond traditional textual analytics evaluation, offering new interpretations data highlighting significant collaborative efforts influential studies domain. findings uncover language, shifts, global contributions, providing distinct comprehensive view dynamic research. A component is “State-of-the-Art Gaps Extracted Results Discussions” section, which delves into latest advancements This section details various types their properties introduces applications, especially films. tracing historical progress identifying emerging trends, emphasizes significance collaboration molding Moreover, “Literature Review Guided Artificial Intelligence” showcases an innovative AI-guided research, first Focusing articles 2023, selected based citation frequency, method offers perspective interplay between nanocomposites properties. It highlights composition, structure, functionality systems, integrating recent for overview current knowledge. analysis, with average score 0.638771, reflects positive trend academic discourse increasing recognition potential nanocomposites. another novelty, maps intellectual domain, emphasizing pivotal themes influence crosslinking time attributes. While acknowledging limitations, exemplifies indispensable role tools synthesizing understanding extensive body literature. work not only elucidates prevailing but also contributes insights, enhancing

Язык: Английский

Процитировано

8

Advances in heat exchangers for heat and mass transfer: a review DOI
Nesrine Amor, Kinga Adach, Muhammad Tayyab Noman

и другие.

Journal of the Textile Institute, Год журнала: 2024, Номер 115(12), С. 2678 - 2692

Опубликована: Фев. 6, 2024

The conversion and utilization of energy are continuous ever-increasing processes that play crucial roles in promoting sustainability economic development. Adopting clean sources has become imperative to address environmental concerns (air pollution) conservation. Heat exchangers (HEs) a significant role achieve conservation through enhanced heat moisture transfer. HEs commonly used heating, ventilating, air conditioning (HVAC) systems. performance HE strongly influences the thermal an entire HVAC system. With increasing transfer requirement modern industries, it is still important issue improve efficiently. In this article, comprehensive review comparison several previously investigated studies related similar topic performed. recovery have hot for building these years, promising alternatives recovery. systematically analyzed further research on with HEs. This literature strengthens our understanding flow characteristics mechanisms various Moreover, ground-breaking recent advances types will also be presented discussed detail.

Язык: Английский

Процитировано

6

Bending behavior of new composited sandwich panels with GFRP waste based-core and PVC facesheets: Experimental design, modeling and optimization DOI
Mohammed Meddour,

Abdelmadjid Si Salem,

Souad Ait Taleb

и другие.

Construction and Building Materials, Год журнала: 2024, Номер 426, С. 136117 - 136117

Опубликована: Апрель 8, 2024

Язык: Английский

Процитировано

4

Prediction and validation of fire parameters for a self-extinguishing and smoke suppressant electrospun PVP-based multilayer material through machine learning models DOI Creative Commons
Aurelio Bifulco,

Immacolata Climaco,

Angelo Casciello

и другие.

Journal of Materials Science, Год журнала: 2024, Номер unknown

Опубликована: Дек. 28, 2024

Язык: Английский

Процитировано

4

Machining performance of TiO2 embedded-glass fiber reinforced composites with snake optimizer DOI
Nesrine Amor, Muhammad Tayyab Noman, Michal Petrů

и другие.

Measurement, Год журнала: 2024, Номер 227, С. 114253 - 114253

Опубликована: Фев. 7, 2024

Язык: Английский

Процитировано

3

Adaptive Ensemble Learning Model-Based Binary White Shark Optimizer for Software Defect Classification DOI Creative Commons

Jameel Saraireh,

Mary Agoyi,

Sofian Kassaymeh

и другие.

International Journal of Computational Intelligence Systems, Год журнала: 2025, Номер 18(1)

Опубликована: Янв. 23, 2025

Язык: Английский

Процитировано

0

Machinability and Surface integrity of Glass Fiber Reinforced Plastic Composite: A Review DOI Creative Commons
Artur Camposo Pereira, Sérgio Neves Monteiro, Leonardo Rosa Ribeiro da Silva

и другие.

Journal of Materials Research and Technology, Год журнала: 2025, Номер unknown

Опубликована: Фев. 1, 2025

Язык: Английский

Процитировано

0

On the Recycling of Fiberglass Waste for Building Sandwich Beams: Numerical and Theoretical Investigation DOI
Mohammed Meddour,

Abdelmadjid Si Salem,

Souad Ait Taleb

и другие.

Опубликована: Янв. 1, 2025

Язык: Английский

Процитировано

0