Effects of minimum quantity lubrication (MQL) on grinding processes using eco-friendly nanofluids: a review

H Adibi, O Hatami, SM Rezaei - Advances in Materials and …, 2024 - Taylor & Francis
Grinding is one of the most complex techniques of removing material from parts by the
countless number of hard and sharp abrasive grains. Grinding creates a substantial amount …

Modeling and optimization of dyeing process of polyamide 6 and woolen fabrics with plum-tree leaves using artificial intelligence

F Shahmoradi Ghaheh, M Razbin, M Tehrani… - Scientific Reports, 2024 - nature.com
The dyeing process of textile materials is inherently intricate, influenced by a myriad of
factors, including dye concentration, dyeing time, pH level, temperature, type of dye, fiber …

Artificial neural network-assisted theoretical model to predict the viscoelastic–plastic tensile behavior of polyamide-6 multi-ply yarns

M Razbin, AA Gharehaghaji, M Salehian, Y Zhu… - Neural Computing and …, 2024 - Springer
Multi-ply yarns have been used as the main structure to form strands, braids, and fabrics.
Thus, various strategies including experimental, numerical, and analytical models have …

Using shot peening and burnishing to improve fatigue performance of additively manufactured 316L stainless steel

D Sayadi, H Rangrizian… - Proceedings of the …, 2024 - journals.sagepub.com
Despite the growing demands for personalized items, the capacity of conventional
production techniques is restricted to respond to such needs. Instead of conventional …

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

NH Kouchehbaghi, M Sohrabi, M Razbin… - The Journal of the …, 2024 - 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 …

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 …

Improving fatigue behavior of selective laser melted 316 L stainless steel by ultrasonic-assisted burnishing

D Sayadi, H Rangrizian, A Khodabandeh… - Rapid Prototyping …, 2024 - emerald.com
Purpose In this study, two postprocessing techniques, namely, conventional burnishing (CB)
and ultrasonic-assisted burnishing (UAB), were applied to improve the fatigue behavior of …

Modeling peak ground acceleration for earthquake hazard safety evaluation

F Khalid, M Razbin - Scientific Reports, 2024 - nature.com
This paper presents a ground motion prediction (GMP) model using an artificial neural
network (ANN) for shallow earthquakes, aimed at improving earthquake hazard safety …

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 …