Although electrospinning in nanotechnology is gaining popularity, the influence of electrospinning treatment parameters on fiber diameter is an issue and has not been further explored. Several ...methods have been used to overcome this problem, such as response surface methodology (RSM), adaptive neuro-fuzzy inference systems (ANFIS), and artificial neural networks (ANNs). This study aimed to investigate the effect of electrospinning treatment parameters on nanofiber diameters using ANNS and ANFIS and evaluate the ability of these methods to predict nanofiber diameters. In this research, electrospun nanofibers were modified under different electrospinning treatment conditions. We fabricated electrospun PVA/TiO
2
nanofibers by varying parameters, such as applied voltage, solution concentration, and spinning distance. ANFIS and ANNs were applied to predict and investigate the effect of treatment parameters on the electrospun PVA/TiO
2
fiber diameters. Based on this study, the development of ANFIS, artificial neural networks, and response surface methodology could predict the experimental data with the root-mean-square error (RMSE) values were 0.00059067, 7.904308882, and 35.10999, as well as the sum of squares error (SSE) values for the ANFIS, ANNs, and RSM, were obtained at 3.14
10
−6
, 562.3028901, and 11094.4, respectively. The results showed that the developed ANNs and ANFIS could accurately predict the experimental data in detail. The novelty of this study is that we used ANNs and ANFIS for the first time to obtain electrospun PVA/TiO
2
fiber diameter accurately. The use of artificial intelligence to calculate and simulate the effects of electrospinning treatment for improving nanofiber diameter is another novelty of this research. The scientific application of this research is that the investigation will be beneficial for practitioners, researchers, and engineers in fabricating nanofibers using electrospinning machines. In the future, electrospinning machine design with artificial intelligence will increase productivity and reduce the risk of failure in the production process.
This paper aimed to study the effects of plasma treatment parameters on polyester-cotton of woven fabric surfaces through the work of adhesion test using artificial neural network (ANN) and response ...surface methodology (RSM). This study used plasma treatment parameters, such as electrode distance, voltage, and plasma exposure time, as inputs for the models. We used surface tension as a function of contact angle (θ) to measure the work of adhesion (
the model's output. Results showed that adhesion is closely related to the selected input variables. In addition, the development of artificial neural networks and response surface methodology could predict the experimental data with the coefficient of determination results were 0.902 and 0.719, and the root-mean-square error (RMSE) values were 2.135138 and 3.685359, respectively. Based on this research, compared with SRM, ANN has higher accuracy in calculating the work of adhesion. We concluded that ANN is expected to be a valuable quantitative method to predict and understand the adhesion effect of plasma treatment on the surface modification of polyester-cotton woven fabrics. The novelty of this study is that we used both ANN and RSM for the first time to predict the work of adhesion of polyester-cotton woven fabric treated with corona plasma. The use of the artificial neural network to simulate and predict the effect of plasma treatment on improving the work of adhesion is another novelty of this research.
Celotno besedilo
Dostopno za:
BFBNIB, DOBA, GIS, IJS, IZUM, KILJ, KISLJ, NUK, PILJ, PNG, SAZU, UILJ, UKNU, UL, UM, UPUK
Applied physics and computer methods in biomechanics have been extensively used in sports science research, including performance and biomechanics analysis. The Brachistochrone problem, which ...expresses the curve that an object draws quickly under gravitational forces in a vertical position, is one of the most widely used studies in classical mechanics. A similar problem arises when a badminton player intends to hit a smash with the shortest shot time. This paper aims to determine the optimal stroke trajectory for a shuttlecock smash in the shortest time. We simulate the badminton smash movement using a computer program after analyzing the shuttlecock smash analytically and numerically for several conditions. The modeling results show that a cycloid trajectory allows badminton players to smash the shuttlecock in the shortest time. Based on the experimental findings of Tsai, Huang, and Jih's study and our models, the ratio of clear speed to smash speed is 0.75, which is still in the range of 0.71 to 0.76, and we find that a cycloid trajectory gives the shortest shuttlecock smash time. We concluded that the experimental data from this study's literature supported our model. The novelty of this study is that we found the first powerful model and simulation of conventional Brachistochrone in the case of a badminton smash of badminton players. For badminton coaches and players, this model formulation is intended as a reference for optimizing shuttlecock shots. Furthermore, another novelty of this research is that it may lead to software that can be used to analyze the muscle strength of badminton players based on their cycloid hand trajectory and shuttlecock speed.
AbstractThis research aims to characterize low-temperature plasma-treated ramie fibers (Boehmeria nivea L. Gaud), create a mathematical model, and analyze them using image processing. The effects of ...low-temperature plasma treatment on ramie fibers were investigated using 30 kV output powers, 4-min treatment times, and a 4 cm electrode distance. SEM and FT-IR spectroscopy were used to investigate various aspects of the ramie fiber’s chemical properties and surface topography. This study used a statistical approach to analyze the SEM images. The statistical analysis was used to investigate the surface roughness using the SEM images. FT-IR analysis discovered that fibers that were exposed for four minutes differed from untreated fibers. According to the findings, plasma treatment caused: (1) ramie fiber became more hydrophilic, as indicated by the presence of hydrophilic functional groups such as hydroxyl (O–H), carboxyl (O–C), and carbonyl (C=O) in FT-IR with a deeper T%, (2) ramie fiber mass reduction was accompanied by an increase in surface roughness via SEM testing and image processing, and (3) plasma-treated fiber had a coefficient of mass variation (CV) of 0.7211 higher than untreated fiber. The novelty of this study is the use of image processing in SEM to observe surface roughness and its relationship to the chemical structure of ramie fibers observed with FT-IR. Another novelty of this research is the mathematical model of the interaction of plasma species with the ramie fibers on the plane electrode for the first time.
Woven fabric in Indonesia is generally known as a material for making clothes and it has been applied as an interior finishing material in buildings, such as sound absorbent material. This study ...presents a new method for predicting the sound absorption of woven fabrics using a modification of the wave equations and using genetic algorithms. The main aim of this research is to study the sound absorption properties of woven fabric by modeling using a modification of the sound wave equations and using genetic algorithms. A new model for predicting the sound absorption coefficient of woven fabric (plain, twill 2/1, rips and satin fabric) as a function of porosity, the weight of the fabric, the thickness of the fabric, and frequency of the sound wave, was determined in this paper. In this research, the sound absorption coefficient equation was obtained using the modification of the sound wave equation as well as using genetic algorithms. This new model included the influence of the sound absorption coefficient phenomenon caused by porosity, the weight of the fabric, the thickness of fabric as well as the frequency of the sound wave. In this study, experimental data showed a good agreement with the model
Pada penelitian ini telah dilakukan penentuan konstanta dielektrik material kain rajut pakan menggunakan metode kapasitansi perangkat kapasitor plat sejajar. Kain rajut pakan telah dibuat dengan ...menggunakan mesin rajut datar Stoll tipe CMS 530HP. Enam sampel kain rajut poliester dan katun telah dibuat pada mesin rajut terkomputerisasi dengan kerapatan yang berbeda-beda. Terdapat tiga jenis kerapatan kain rajut yang telah dibuat pada penelitian ini. Pengukuran kapasitansi terdiri dari perangkat mikrokontroler Arduino Uno dan susunan seri resistor-kapasitor (RC). Hasil penelitian menunjukan bahwa kain rajut katun NP10 memiliki konstanta dielektrik yang lebih besar dibandingkan dengan kain poliester pada struktur kain yang sama. Hasil menunjukan korelasi yang cukup baik antara hasil prediksi dan eksperimen pada pengukuran kapasitansi. Terdapat enam bahan dielektrik yang ditentukan dengan hasil dari yang terbesar sampai yang terkecil berturut-turut yaitu kain rajut katun NP 10 (22,8874 + 4,6388), kain rajut katun NP 11 (21,4717 + 3,8064), kain rajut katun NP 12 (17,8721 + 2,3233), kain rajut poliester NP 10 (9,7751 + 2,4922), kain rajut poliester NP 11 (8,8282 + 0,9360) dan kain rajut poliester NP 12 (8,4358 + 1,1849). Telah ditemukan hubungan antara parameter kerapatan kain kain rajut pakan terhadap nilai konstanta dielektrik terukur. Kata kunci—kain rajut pakan, poliester, katun, kerapatan kain, konstanta dielektrik, kapasitor plat-sejajar. ABSTRACT This paper describes the dielectric measurement of weft knitted fabric using parallel-plate capacitance method. The weft knitted fabric were fabricated using weft knit machine Stoll CMS 530HP. Six different samples of polyester and cotton knitted fabric were fabricated by computerized flat knitting machine. There are consist of three types of density which made on this study. The capacitance measurement were consist of Arduino Uno microcontroller and a series of resistor-capacitor (RC). The result of this research indicates that NP10 cotton knitted fabric has higher dielectric constant than the polyester knitted fabric, with similar structure respectively. There are six fabric dielectric materials that are determined with the results from the largest to the smallest in a row namely NP 10 cotton knitted fabric (22,8874 + 4,6388), NP 11 cotton knitted fabric (21,4717 + 3,8064), NP 12 cotton knitted fabric (17,8721 + 2,3233), NP 10 polyester knitted fabric (9,7751 + 2,4922), NP 11 polyester knitted fabric (8,8282 + 0,9360) and NP 12 polyester knitted fabric (8,4358 + 1,1849). It has been found the correlation between the fabric density and the permittivity of the weft knitted fabric. Keywords—weft knitted fabric, polyester, cotton, fabric density, dielectric constant, parallel-plate capacitor.
Many researchers have studied the mechanical properties of yarn in textile science because mechanical properties are the essential parameter in determining yarn quality. This research aims to make a ...new model and prediction of the material properties of textile yarns, especially for stress relaxation of viscoelastic textile yarn for polyester-wool-spandex yarn cases. In this research, a new approximation of the analytical mechanics model of stress relaxation using a system of four springs and a dashpot to determine viscoelastic yarn properties as polyester-wool-spandex has been studied. A yarn movement equation for viscoelastic yarn as polyester-wool-spandex having 36 yarn count number (in unit tex or g/km) has been formulated using analytical mechanics, and the model has been validated experimentally. The coefficient of determination R2 ranges from 0.82, which shows the closeness between the experimental results and the theoretical predictions. In this research, it is found that this model can be implemented to determine the viscoelastic material of yarn based on the properties of yarn as stress relaxation using the analytical mechanics approach.
Pada dasarnya kain tenun terdiri atas struktur anyaman benang-benang yang terbuat dari bahan serat tekstil melalui suatu proses pertenunan. Salah satu jenis serat yang telah lama dikenal ...sebagai bahan baku pembuatan kain tenun adalah serat kapas. Terdapat tujuh jenis konstruksi kerapatan benang kain tenun kapas 100% yang telah digunakan sebagai material dielektrik pada penelitian ini. Pada penelitian ini telah dilakukan pengamatan mengenai pengaruh konstruksi kerapatan benang kain tenun kapas 100% (kain kanvas) terhadap konstanta dielektrik dan profil tegangan pengisian & pengosongan pada perangkat kapasitor plat sejajar. Pengamatan konstanta dielektrik dan perilaku tegangan perangkat kapasitor plat sejajar berdielektrik kain tenun kapas 100% saat proses pengisian & pengosongan telah dilakukan dengan menggunakan perangkat mikrokontroler Arduino Uno. Proses pengisian & pengosongan kapasitor telah dilakukan dengan menggunakan skema rangkaian seri resistor-kapasitor (RC). Hasil pengamatan menunjukkan kesesuaian cukup baik antara hasil prediksi dan eksperimen pada perilaku profil tegangan kapasitor plat sejajar berdielektrik kain tenun kapas 100% saat proses pengisian & pengosongan dengan nilai R2 > 0,9. Telah ditemukan hubungan antara parameter kerapatan benang kain tenun kapas 100% terhadap konstanta dielektrik dan profil tegangan pengisian & pengosongan perangkat kapasitor plat sejajar. Hasil menunjukan bahwa semakin besar nilai kerapatan benang kain tenun kapas 100%, maka semakin besar nilai konstanta dielektrik kain tersebut. Woven fabric consists of interlacing threads made from fiber material by weaving process. One type of fibers which is known as raw material for making woven fabric is cotton fiber. In this research, there are seven types of yarn-fabric density of 100% cotton fabric that has been used as dielectric materials. In this study, the influence of woven dielectric yarn density on the dielectric properties and the voltage charging & discharging profiles of the parallel plate capacitor devices has been carried out. The observation of the dielectric properties and the voltage in the parallel plate capacitor devices during the charging and discharging process are carried out using an Arduino Uno microcontroller device. The charging and discharging profiles are measured by using a series of resistor-capacitor (RC) circuit. The results of the charging process and the discharging process obtained R2 > 0.9, which indicates that the correlation between the predicted and experimental results has a very good relationship. It has been found that the correlation between the woven dielectric yarn density on the dielectric constant and the charge-discharge profiles of the parallel plate capacitor. It also has been found that the higher density of the 100% cotton fabric, the higher the dielectric constant value of the fabric.
Proses pengolahan limbah tekstil umumnya dapat berupa limbah dari proses penghilangan kanji (Desizing), penggelantangan (Scouring), pemutihan (Bleaching), dan pencelupan kain (Dyeing) serta proses ...pewarnaan dan pembilasan yang menghasilkan air limbah berwarna dengan COD yang tinggi. Dikarenakan kompleksitas jenis limbah tekstil, maka pemilihan metode pengolahan limbah merupakan suatu tantangan tersendiri dalam penelitian oleh beberapa peneliti. Artikel ini memperlihatkan beberapa metode pengolahan limbah dengan menggunakan metode elektrokoagulan (EC), metode plasma dan gabungan metode plasma dan elektrokoagulan. Hasil riset memperlihatkan bahwa pengabungan metode plasma dan elektrokoagulan akan lebih baik dalam penguraian air limbah dengan indikator menurunnya COD pada limbah (sebesar 240mgO2/L hingga 250 mgO2/L). Efisiensi pada metode plasma-elektrokoagulasi sebesar 42,5% - 44,8%.
Pada bidang tekstil, perhitungan nomor benang, Nm, daapt dijabarkan dengan mengetahui besar puntiran (twist) pada benang. Pada penelitian ini pemodelan secara teori untuk menghubungkan antara besar ...puntiran dan juga nomor benang, baik pada mesin pintal rotor dan juga mesin pintal ring sudah didapatkan dan dikembangkan untuk mendapatkan sebuah pemodelan yang baik dan dapat memperlihatkan besar nilai puntiran nyata benang. pada penelitiann ini rumusan hasil studi sudah divalidasi yang digunakan untuk memperlihatkan hubungan antara nomor benang dan puntiran secara lebih umum menggunakan pendekatan teori. Pada penelitian ini juga telah dirancang suatu alat untuk menghitung puntiran nyata tersebutKata kunci: puntiran nyata ,tekstil ,nomor benang In textile, calculation the yarn count, Nm, can be derived by knowing the twist of yarn. Theoretical consideration for a modeling the relationship of twist and the yarn count, both in rotor spinning and ring spinning, has been done and developed to get a good model to show the actual twist. In this research, the formula has been verified and it has been investigated to show the relationship of twist with yarn count completely by theoretical approach and also it has done fabrication the actual twist measurement tool. Keywords: actual twist, textile, yarn count
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