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All Journal Jurnal Rekayasa Proses Jurnal Penelitian Fisika dan Aplikasinya (JPFA) Jurnal Dinamika Penelitian Industri JURNAL ILMIAH PENDIDIKAN FISIKA AL BIRUNI Jurnal Fisika FLUX INDONESIAN JOURNAL OF APPLIED PHYSICS Jurnal Rekayasa Proses Jurnal Ilmu Fisika Jurnal Fisika : Fisika Sains dan Aplikasinya Jurnal Teori dan Aplikasi Fisika Jurnal Kumparan Fisika Dinamika Kerajinan dan Batik : MAJALAH ILMIAH Wahana Fisika : Jurnal Fisika dan Terapannya Jurnal Rekayasa Proses Dinamika Kerajinan dan Batik: Majalah Ilmiah
Mohamad, Juliany Ningsih
Universitas Nusa Cendana
Arts Astronomy Chemical Engineering, Chemistry & Bioengineering Earth & Planetary Sciences Education Electrical & Electronics Engineering Energy Engineering Environmental Science Industrial & Manufacturing Engineering Materials Science & Nanotechnology Physics Social Sciences

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Journal : INDONESIAN JOURNAL OF APPLIED PHYSICS

 1 
FT-IR Spectral Model of Polyester-Cotton Fabrics with Corona Plasma Treatment using Artificial Neural Networks (ANNs) Irwan Irwan; Valentinus Galih Vidia utra; Juliany Ningsih Mohamad
INDONESIAN JOURNAL OF APPLIED PHYSICS Vol 13, No 1 (2023): April
Publisher : Department of Physics, Sebelas Maret University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.13057/ijap.v13i1.67837

Abstract

Corona plasma technology has been studied as a surface modification for the adhesive bonding of polymers. Although corona plasma (C.P.) is becoming more popular in nanotechnology, the influence of corona plasma treatment parameters on the FT-IR spectra is a problem that has yet to be addressed. The purpose of this study is to use an artificial neural network to study the influence of corona plasma (C.P.) treatment parameters on textile polymer and evaluate the ability of this model to predict FT-IR spectral information from FT-IR measurements. In this study, polymers were modified under various corona plasma treatment conditions. We investigated FT-IR spectra information of polymers from FT-IR measurements by varying corona plasma treatment variables. We used three input parameters in this study: wavenumber, voltage, and exposure time—two output parameters: fabric roughness with SEM according to the degree of smoothness and percent transmission with FT-IR. The novel aspect of this study is that we used ANN to model the plasma treatment on polyester-cotton fabrics and the FT-IR spectra accurately enough for the first time. According to this study, the model that used four nodes (neurons) in the hidden layer, three input parameters (x1,x2,x3), and 20 iterations is appropriate for determining fabric surface roughness (S.R.) and percent transmission (T%). Based on this research, the values of R2 for determining fabric surface roughness (S.R.) and percent transmission (T%) were 99.79 percent and 67.18 percent, respectively. The results showed that the developed ANNs could accurately predict the experimental data in detail. This study is significant because it uses artificial intelligence to calculate and simulate the FT-IR spectra and fabric surface roughness of plasma treatment on textile fabrics. This study's scientific application is that it will help experts, researchers, and engineers understand the implications of plasma on the chemical structure of textile materials.
A Study of Anti-Radiation Weaving Fabric with Plasma Corona Treatment Valentinus Galih Vidia Putra; Irwan Irwan; Ichsan Purnama; Juliany Ningsih Mohamad; Yusril Yusuf
INDONESIAN JOURNAL OF APPLIED PHYSICS Vol 11, No 1 (2021): April
Publisher : Department of Physics, Sebelas Maret University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.13057/ijap.v11i1.40833

Abstract

In this research, Carbon black particles were applied on the woven fabric by the knife coating technique and pretreatment using plasma corona discharge to build-up conductive cotton-polyester (CVC 50%) fabric electromagnetic shielding material. This paper describes the making of anti-radiation weaving fabric using plasma technology. The anti-radiation patch was developed by first modifying the textile fabric's surface using atmospheric pressure plasma technology using tip-cylinder electrode configuration. The plasma corona discharge was generated using high voltage electricity with asymmetrical electrodes (tip and cylinder). The treated weaving fabric using plasma was then coated with carbon black ink. This research indicates that an anti-radiation weaving fabric was successfully shielded electromagnetic radiation from an electronic device.
Co-Authors Annisa Diyan Fitri Atin Sumihartanti Bernandus Bernandus Cahaya Rosyidan Endah Purnomosari Irwan Irwan Irwan Irwan Juan Prianto Lutfi Zulfikar Purnama, Ichsan Purnomosari, Endah Putra, Valentinus Galih Vidia Umbu Harti Mala Valentinus G. V. Putra Valentinus G. V. Putra Valentinus Galih Vidia Putra Valentinus Galih Vidia Putra Valentinus Galih Vidia Putra Valentinus Galih Vidia Putra Valentinus Galih Vidia Putra Valentinus Galih Vidia Putra Valentinus Galih Vidia utra Wijayono, Andrian Yusril Yusuf Yusril Yusuf Yusril Yusuf