[HTML][HTML] Machine learning in optimization of nonwoven fabric bending rigidity in spunlace production line

MR Sadeghi, SM Hosseini Varkiyani… - Scientific Reports, 2023 - nature.com
Spunlace nonwoven fabrics have been extensively employed in different applications such
as medical, hygienic, and industrial due to their drapeability, soft handle, low cost, and …

Modeling and optimization of hybrid geothermal-solar energy plant using coupled artificial neural network and genetic algorithm

A Farajollahi, M Baharvand, HR Takleh - Process Safety and …, 2024 - Elsevier
Avoiding solar thermal energy storage reduces efficiency in hybrid solar-geothermal energy
systems, making them impractical. To address this challenge, a synergistic approach …

Optimization of grinding parameters of tool steel by the soft computing technique

O Hatami, D Sayadi, M Razbin… - Computational …, 2022 - Wiley Online Library
Grinding is one of the most complex and accurate machining processes, and the efficiency
of the grinding wheel depends significantly on its surface properties. This work aims to …

Soft computing procedure to optimize the electrospinning parameters of polyacrylonitrile nanofibrous air filter

NH Kouchehbaghi, M Sohrabi, M Razbin… - The Journal of The …, 2023 - Taylor & Francis
Following the previous work, this research aims to highlight the applicability of a new
strategy for engineering morphological properties of nanofibrous filters using a model …

Multifactorial evaluation of an ultra-fast process for electrospinning of recycled expanded polystyrene to manufacture high-efficiency membranes for nanoparticle air …

F de Aquino Lima, PAM Chagas, ACS Honorato… - Journal of …, 2024 - Elsevier
The increased production of polystyrene waste has led to the need to find efficient ways to
dispose of it. One possibility is the use of solid waste to produce filter media by the …

Economic assessing and optimizing according to the environmental factor of a reforming cycle for producing hydrogen, cooling, and distilled water

G Du, MS Albdeiri, H Moria, I Mahariq, H Ayed… - Process Safety and …, 2024 - Elsevier
In order to determine the environmental and economic implications of H 2, cooling and
distillation water production powered by reforming cycle, both environmental and economic …

Heat's Role in Solution Electrospinning: A Novel Approach to Nanofiber Structure Optimization

M Wildy, W Wei, K Xu, J Schossig, X Hu, DC Hyun… - Langmuir, 2024 - ACS Publications
In this study, we explored an innovative application of heat-assisted solution
electrospinning, a technique that significantly advances the control of phase separation in …

[HTML][HTML] Artificial Neural Networks for Predicting the Diameter of Electrospun Nanofibers Synthesized from Solutions/Emulsions of Biopolymers and Oils

G Cuahuizo-Huitzil, O Olivares-Xometl… - Materials, 2023 - mdpi.com
In the present work, different configurations of nt iartificial neural networks (ANNs) were
analyzed in order to predict the experimental diameter of nanofibers produced by means of …

Tuning drafting zone parameters for polyester yarn within a ring spinning system: modeling and optimization

H Amiri Savadroodbari, M Razbin… - The Journal of The …, 2024 - Taylor & Francis
Yarn is a fundamental element in most textile products. Among various yarn manufacturing
methods, the ring spinning system is particularly important due to its benefits, such as high …

Modeling the flexural rigidity of spunlace nonwoven fabrics

MR Sadeghi, SM Hosseini Varkiyani… - The Journal of The …, 2023 - Taylor & Francis
Nonwoven fabrics, especially spunlace varieties, find application across diverse fields. This
study presents an analytical model that utilizes the energy method, factoring in bending and …