A Study and Investigation on the Influence of Static and Dynamic Loading on the Properties of Handmade Persian Carpet (I) - The Effect of Static Loading -

Mirjalili S. A.,Sharzehee M. The Korean Fiber Society 2005 Fibers and polymers Vol.6 No.2

The paper reports the physical and mechanical properties of hand-woven carpets, which have been put under static force. Two groups of wool fibres, from two parts of Iran, were prepared to spin pile yams for the carpets. Each group of the fibres included both conventional and tanned wool. Then two yam counts, $N_m$ = 4/2 and 6/2, were spun for two different knot densities. After weaving the carpets, they were put under static force and their thickness variations were measured and plotted against time, in logarithm scale. The resiliency of the carpets piles after eliminating the static force, were measured and plotted against time, in logarithm scale, too. The results were compared to each other and analysed with respect to parameters such as the type and quality of the wool fibres as well as knot density of the carpets.

Adsorption of malachite green from aqueous solution by carboxylate group functionalized multi-walled carbon nanotubes: Determination of equilibrium and kinetics parameters

M. Rajabi,B. Mirza,K. Mahanpoor,M. Mirjalili,F. Najafi,O. Moradi,H. Sadegh,R. Shahryari-ghoshekandi,M. Asif,I. Tyagi,S. Agarwal,Vinod Kumar Gupta 한국공업화학회 2016 Journal of Industrial and Engineering Chemistry Vol.34 No.-

MWCNTs functionalized with the carboxylate group are used as efficient adsorbent for the rapid removaland fast adsorption of malachite green from the aqueous solutions. The optimized contact time and pHwere 10 min and 9, respectively. The effect of temperature revealed that the adsorption capacity ofmalachite green (MG) dye increased with increasing contact time, temperature and pH of the workingsolution. The adsorption equilibrium and kinetic data was well fitted and found to be in good agreementwith the Langmuir isotherm model and pseudo second order kinetic model respectively with highcorrelation coefficient.

Fluorinated-PAN nanofibers: Preparation, optimization, characterization and fog harvesting property

A. Almasian,Gh. Chizari Fard,M. Mirjalili,M. Parvinzadeh Gashti 한국공업화학회 2018 Journal of Industrial and Engineering Chemistry Vol.62 No.-

For the first time, a new fluoroamine compound was synthesized by aminating the perfluoroacrylate compound. The synthesized fluroamine was used to modify the surface of polyacrylonitrile (PAN) nanofibers and the fog harvesting ability of the modified nanofibers was investigated. The results showed that the maximum fog harvesting capacity (335 mg/cm2/h) was achieved at the time, the temperature and the amount of fluoroamine compound of 3 h, 95 °C and 8% (w/w) in the modification process, respectively. The fog harvesting capacity of fluorinated nanofibers was much higher than that of untreated PAN nanofibers (31 mg/cm2 h), which is due to the superhydrophobic nature of fluorinated nanofibers. The superhydrophobic property of the fluorinated nanofibers was evaluated by investigating the wettability properties including water contact angle and surface energy of prepared nanofibers. Furthermore, the average surface roughness of nanofibers was determined as 41.8 and 51.2 nm for untreated and fluorinated nanofibers, respectively. The result indicated the superhydrophobic property of prepared nanofibers due to the increased surface roughness, high water contact angle (159°), and low surface energy value (17.1 mN/m). Moreover, it was found that the fog harvesting capacity increases with increasing the distance of the nanofibers mat from humidifier because of increasing the water mobility. The results of nanofiber characterization showed that the fluoroamine molecules were covalently grafted onto the nanofiber surface through the formation of amidine group. Also, at the optimum condition, deposition of a layer with the thickness of 17 nm on the nanofiber surface was detected. It was found that increasing the thickness of fluoroamine layer enhanced the hydrophobicity and fog harvesting capacity of nanofibers up to a certain level. The total surface area of nanofibers was decreased after the grafting process because of increasing the nanofiber diameter.

Multi-objective equilibrium optimizer: framework and development for solving multi-objective optimization problems

Premkumar M,Jangir Pradeep,Sowmya R,Alhelou Hassan Haes,Mirjalili Seyedali,Kumar B Santhosh 한국CDE학회 2022 Journal of computational design and engineering Vol.9 No.1

This paper proposes a new Multi-Objective Equilibrium Optimizer (MOEO) to handle complex optimization problems, including real-world engineering design optimization problems. The Equilibrium Optimizer (EO) is a recently reported physics-based metaheuristic algorithm, and it has been inspired by the models used to predict equilibrium state and dynamic state. A similar procedure is utilized in MOEO by combining models in a different target search space. The crowding distance mechanism is employed in the MOEO algorithm to balance exploitation and exploration phases as the search progresses. In addition, a non-dominated sorting strategy is also merged with the MOEO algorithm to preserve the population diversity and it has been considered as a crucial problem in multi-objective metaheuristic algorithms. An archive with an update function is used to uphold and improve the coverage of Pareto with optimal solutions. The performance of MOEO is validated for 33 contextual problems with 6 constrained, 12 unconstrained, and 15 practical constrained engineering design problems, including non-linear problems. The result obtained by the proposed MOEO algorithm is compared with other state-of-the-art multi-objective optimization algorithms. The quantitative and qualitative results indicate that the proposed MOEO provides more competitive outcomes than the different algorithms. From the results obtained for all 33 benchmark optimization problems, the efficiency, robustness, and exploration ability to solve multi-objective problems of the MOEO algorithm are well defined and clarified. The paper is further supported with extra online service and guideline at https://premkumarmanoharan.wixsite.com/mysite.

Preparation of Multi-Functional Polyester Fabrics with the Use of a New Organo-Clay Nanopigment in High Temperature/High Pressure Condition

A. Almasian,M. Mirjalili,L. Maleknia,M. Giahi 한국섬유공학회 2019 Fibers and polymers Vol.20 No.7

For the first time, the ability of dyeing the montmorillonite (Mt) mineral with reactive dye aiming to prepare a newnanopigment was investigated and the optimum conditions were determined. The prepared nanopigment was characterizedby Fourier-transform infrared spectra (FTIR), transmission electron microscope (TEM), Brunauer-Emmett-Teller (BET),reflectance spectrophotometer (RS) and colorimetry analyses. The results showed that the dye molecules were attached to thehydroxyl groups of Mt plates through a covalent linkage. Also, the BET surface area values slightly increased after the dyeingprocess due to the separation of Mt plates and the reduction of particle size because of penetration of dye molecules amongthe plates. Colorimetry analysis revealed that the intercalation of dye molecules was depended on dye concentration andnumber of reactive sites on the Mt surface. The prepared nanopigment was used for dyeing the polyester fabric in highpressure and temperature conditions. The SEM, colorimetry, electromagnetic reflectance, flammability, and TGA tests wereperformed to investigate the properties of fabrics. Results indicated that intercalation of Mt nanopigment in the polyester fiberenhances the flame retardant, electromagnetic reflection and breathability of fabrics. Also, the optimum amount ofnanopigment in the dyeing process was reported. It can be suggested that the prepared fabric can be a good candidate forutilizing in military and electronic aspects.

Enhancing feature selection with GMSMFO: A global optimization algorithm for machine learning with application to intrusion detection

Hussein Nazar K,Qaraad Mohammed,Amjad Souad,Farag M.A.,Hassan Saima,Mirjalili Seyedali,Elhosseini Mostafa A 한국CDE학회 2023 Journal of computational design and engineering Vol.10 No.4

The paper addresses the limitations of the Moth-Flame Optimization (MFO) algorithm, a meta-heuristic used to solve optimization problems. The MFO algorithm, which employs moths' transverse orientation navigation technique, has been used to generate solutions for such problems. However, the performance of MFO is dependent on the flame production and spiral search components, and the search mechanism could still be improved concerning the diversity of flames and the moths' ability to find solutions. The authors propose a revised version called GMSMFO, which uses a Novel Gaussian mutation mechanism and shrink MFO to enhance population diversity and balance exploration and exploitation capabilities. The study evaluates the performance of GMSMFO using the CEC 2017 benchmark and 20 datasets, including a high-dimensional intrusion detection system dataset. The proposed algorithm is compared to other advanced metaheuristics, and its performance is evaluated using statistical tests such as Friedman and Wilcoxon rank-sum. The study shows that GMSMFO is highly competitive and frequently superior to other algorithms. It can identify the ideal feature subset, improving classification accuracy and reducing the number of features used. The main contribution of this research paper includes the improvement of the exploration/exploitation balance and the expansion of the local search. The ranging controller and Gaussian mutation enhance navigation and diversity. The research paper compares GMSMFO with traditional and advanced metaheuristic algorithms on 29 benchmarks and its application to binary feature selection on 20 benchmarks, including intrusion detection systems. The statistical tests (Wilcoxon rank-sum and Friedman) evaluate the performance of GMSMFO compared to other algorithms. The algorithm source code is available at https://github.com/MohammedQaraad/GMSMFO-algorithm.