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Effect of oil palm fiber on physical and tribological behavior of unsaturated polyester-oil palm ash composite

AIP Conference Proceedings 2024年第1期3213卷

作者： Diva Almira Syahrul Humaidi Nurdin Siregar Doli Bonardo Post Graduate Program (Physics) FMIPA Universitas Sumatera Utara Jl. Bioteknologi I Kampus USU Medan 20155 Indonesia Department of Physics Faculty of Mathematics and Natural Science Universitas Negeri Medan Jl. Willem Iskandar Pasar V Deli Serdang 20221 Indonesia Refrigeration and Air Conditioning Engineering Study Program Politeknik Tanjungbalai Jl. Sei Raja Sei Tualang Raso Tanjungbalai 21345 Indonesia

Preliminary studies have successfully been conducted on the physical characterization and tribological behavior of oil palm fiber-reinforced composites based on unsaturated polyester and oil palm ash. In an effort to initiate segregation of composite particles, oil palm ash was used as a segregation agent to increase the surface roughness of the material. The composite preparation method was carried out using the hand lay-up technique for 1 hour at 100 °C. Methyl ethyl ketone peroxide was used as a hardening agent to increase the hardness of the composite. The composite that contained 10 wt.% oil palm fiber reinforced unsaturated polyester-oil palm ash showed the lowest porosity and highest density values compared to the other samples. The decrease in porosity and increase in density can be attributed to the incorporation of 10 wt.% oil palm fiber, which promotes increased segregation of the composite particles, leading to an overall volume increase. Furthermore, the increase in density results in a drastic decrease in the rate of water absorption. The sample with the optimal wear level also had the lowest value compared to the other samples, and this reduction in wear and tear is supported by the high coefficient of friction it exhibits.

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Enhanced meta-displays using advanced phase-change materials

arXiv

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arXiv 2021年

作者： Hemmatyar, Omid Abdollahramezani, Sajjad Zeimpekis, Ioannis Lepeshov, Sergey Krasnok, Alex Khan, Asir Intisar Neilson, Kathryn M. Teichrib, Christian Brown, Tyler Pop, Eric Hewak, Daniel W. Wuttig, Matthias Alù, Andrea Muskens, Otto L. Adibi, Ali School of Electrical and Computer Engineering Georgia Institute of Technology 778 Atlantic Drive NW AtlantaGA30332-0250 United States Zepler Institute Faculty of Engineering and Physical Sciences University of Southampton SouthamptonSO17 1BJ United Kingdom ITMO University St. Petersburg197101 Russia Photonics Initiative Advanced Science Research Center City University of New York New YorkNY10031 United States Department of Electrical Engineering Department of Materials Science and Engineering Precourt Institute for Energy Stanford University StanfordCA94305 United States Physikalisches Institut IA RWTH Aachen Sommerfeldstrasse 14 Aachen52074 Germany Physics Program Graduate Center City University of New York New YorkNY10016 United States Physics and Astronomy Faculty of Engineering and Physical Sciences University of Southampton SouthamptonSO17 1BJ United Kingdom

Structural colors generated due to light scattering from static all-dielectric metasurfaces have successfully enabled high-resolution, high-saturation, and wide-gamut color printing applications. Despite recent advances, most demonstrations of these structure-dependent colors lack post-fabrication tunability. This hinders their applicability for front-end dynamic display technologies. Phase-change materials (PCMs), with significant contrast of their optical properties between their amorphous and crystalline states, have demonstrated promising potentials in reconfigurable nanophotonics. Herein, we leverage tunable all-dielectric reflective metasurfaces made of newly emerged classes of low-loss optical PCMs, i.e., antimony trisulphide (Sb2S3) and antimony triselenide (Sb2Se3), with superb characteristics to realize switchable, high-saturation, high-efficiency and high-resolution dynamic meta-pixels. Exploiting polarization-sensitive building blocks, the presented meta-pixel can generate two different colors when illuminated by either one of two orthogonally polarized incident beams. Such degrees of freedom (i.e., material phase and polarization state) enable a single reconfigurable metasurface with fixed geometrical parameters to generate four distinct wide-gamut colors. We experimentally demonstrate, for the first time, an electrically-driven micro-scale display through the integration of phase-change metasurfaces with an on-chip heater formed by transparent conductive oxide. Our experimental findings enable a versatile platform suitable for a wide range of applications, including tunable full-color printing, enhanced dynamic displays, information encryption, and anti-counterfeiting. © 2021, CC BY.

关键词： Light scattering

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Patchouli oil analysis of chemical components using FT-IR and GCMS method

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AIP Conference Proceedings 2023年第1期2738卷

作者： Hermin Pancasakti Kusumaningrum Rizqi Sa’adatun Ni’mah Yunita Nurlindasari Annisa Imrani Sadam Arrois Eko Purnomo Fa’ireza Rafli Arfiansyah Erni Setyowati Bambang Dwi Loka Biotechnology Study Program Biology Department Faculty of Science and Mathematics Diponegoro University Jl. Prof. Soedharto SH. Tembalang Semarang 50275 Indonesia Department of Chemical Engineering Faculty of Engineering Diponegoro University Jl. Prof. Soedharto SH. Tembalang Semarang 50275 Indonesia Architecture Department Faculty of Engineering Diponegoro University Jl. Prof. Soedharto SH. Tembalang Semarang 50275 Indonesia Food Technology Department Faculty of Animal and Agricultural Sciences Diponegoro University Jl. Prof. Soedharto SH. Tembalang Semarang 50275 Indonesia

Patchouli (Pogostemon cablin Benth.) is a plant that produces essential oils to be used for cosmetics, soap, antiseptic, perfume, pharmaceutical, insecticide and aromatherapy industries. One of the products produced from the patchouli plant is patchouli oil. This study aims to determine the content of chemical compounds contained in the essential oil of patchouli using the GC-MS analysis method to determine the molecular structure of the compound and separate the fractions in patchouli oil. Another method is the FT-IR analysis method to identify the functional groups contained in patchouli oil. The chemical properties of patchouli oil from the Blado area, Batang Indonesia, are traditionally distilled from fresh patchouli leaves and stems. The results of the GCMS analysis showed that there were 10 compounds with 4 peaks of dominant components which were the constituents of patchouli essential oil, namely Patchouli Alcohol (39.46 %), Delta-Guaiene (21.51%), Alpha Guaiene (20.13%), Alpha-patchoulena (9.01%). In the FTIR results carried out in the range of 4000-450 cm-1, various functional groups such as C=C, –CH2, C-H, C=O, O-H, C-O, =C-H, and N-H. This shows that patchouli oil is rich in alcohol, aromatics, and aldehydes.

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Corrigendum: Moving Next-Generation Phase-Field Models to BMS Applications -A Case study that Confirms Professor Uzi Landau's Foresight [J. Electrochem. Soc., 171, 063507 (2024)]

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Journal of The Electrochemical Society 2024年第8期171卷 089002-089002页

作者： Tushar K. Telmasre Anthony César Concepción Suryanarayana Kolluri Lubhani Mishra Raghav S. Thiagarajan Aditya Naveen Matam Akshay Subramaniam Taylor R. Garrick Venkat R. Subramanian Materials Science and Engineering Program Texas Materials Institute The University of Texas at Austin Austin TX 78712 United States of America Walker Department of Mechanical Engineering The University of Texas at Austin Austin TX 78712 United States of America Battery Materials and Systems Research General Motors Global Research and Development Center Warren MI 48090 United States of America Chandra Department of Electrical and Computer Engineering The University of Texas at Austin Austin TX 78712 United States of America Energy Storage and Propulsion R&D and Manufacturing Engineering General Motors Technical Center Warren MI 48092 United States of America Affiliate Faculty Oden Institute for Computational Science and Engineering The University of Texas at Austin Austin TX 78712 United States of America

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The effect of lard concentration and ozonation on changes in polarization angle of olive oil

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Journal of Physics: Conference Series 2021年第1期1943卷

作者： F A Saputra M Azam F Arianto K F Sofjan H Sugito I Alkian Department of Physics Faculty of Science and Mathematics Diponegoro University Semarang Indonesia 50275 Study Program of Automation Engineering Technology Vocational School Diponegoro University

This research aims to analyze the effect of ozone exposure time and lard mixture on the polarization angle of transmission of olive oil. The study uses a transmission polarization method with a laser (λ = 532 nm) as a light source. The research sample in the form of olive oil mixed with lard at a concentration of 10, 20, 40, and 80%, with an ozone exposure time of 0-30 minutes. The sample is subjected to external electric fields with variations from 0-4.5 x 102 kV/m to increase the change's polarization angle. The results showed that the change in polarization angle would change linearly with the increase in lard concentration with olive oil. Olive oil with a low concentration of lard (10%) experienced an increase in the change in polarization angle with a value of 0.31 ° due to the effect of 90 minutes of ozone exposure. In general, the results of the study showed that increased concentrations of lard, ozone exposure time, electric field strengths caused an increase in changes in the polarization angle in a mixture of olive oil and lard.

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Simulink Matlab applications program in power system: study of effect of simulink matlab program acceptance in power system analysis

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IOP Conference Series: Materials science and engineering 2021年第2期1098卷

作者： D Aiz P Gendroyono Electrical Engineering Education Study Program Faculty of Engineering Universitas Negeri Jakarta Jl. R.Mangun Muka Raya RT. 11/RW. 14 Rawamangun Jakarta Indonesia

The Simulink Matlab application program in electrical power system analysis needs acceptance from its users. This research is purposed to investigate the effect of Simulink Matlab application program acceptance to power system analysis. This research uses a quantified approach. The sample of this research is 119 students using the Simulink Matlab application program to do power system analysis. The data is analyzed with path analysis with the Partial Least Square approach. The result shows that the perception of ease has a direct effect to the perception of usage, behavior, and intention to use the Simulink application program with the path coefficient of 0.581, 0.574, and 0.249 respectively; the perception of usage and easiness in the usage of the Simulink application program has a direct effect to behavior in using the Simulink application program with the path coefficient of 0.218 and 0.574 respectively; the behavior in using the Simulink application program has a direct effect to the intention in using the Simulink application program with the path coefficient of 0.581, and the intention in using Simulink application program has a direct effect to the usage of the real Simulink Matlab application program with the path coefficient of 0.491. This research concludes that the usage of the Simulink application program for power system analysis is affected by the easiness and the usage of the application as well as the attitude of users.

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Benchmark problems for transcranial ultrasound simulation: Intercomparison of compressional wave models

arXiv

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arXiv 2022年

作者： Aubry, Jean-Francois Bates, Oscar Boehm, Christian Pauly, Kim Butts Christensen, Douglas Cueto, Carlos Gélat, Pierre Guasch, Lluis Jaros, Jiri Jing, Yun Jones, Rebecca Li, Ningrui Marty, Patrick Montanaro, Hazael Neufeld, Esra Pichardo, Samuel Pinton, Gianmarco Pulkkinen, Aki Stanziola, Antonio Thielscher, Axel Treeby, Bradley Van't Wout, Elwin Physics for Medicine Paris INSERM U1273 ESPCI Paris PSL University CNRS UMR 8063 France Department of Bioengineering Imperial College London Exhibition Road LondonSW7 2AZ United Kingdom Institute of Geophysics ETH Zürich Sonneggstrasse 5 Zürich8092 Switzerland Department of Radiology Stanford University StanfordCA United States Department of Biomedical Engineering Department of Electrical and Computer Engineering University of Utah United States Department of Surgical Biotechnology Division of Surgery and Interventional Science University College London LondonNW3 2PF United Kingdom Earth Science and Engineering Department Imperial College London London United Kingdom Centre of Excellence IT4Innovations Faculty of Information Technology Brno University of Technology Bozetechova 2 Brno612 00 Czech Republic Graduate Program in Acoustics The Pennsylvania State University University Park PA16802 United States Joint Department of Biomedical Engineering University of North Carolina at Chapel Hill North Carolina State University NC United States Department of Electrical Engineering Stanford University StanfordCA United States Zurich Switzerland Laboratory for Acoustics / Noise control Empa Swiss Federal Laboratories for Materials Science and Technology Dubendorf Switzerland Zurich Switzerland Radiology and Clinical Neurosciences Departments Cumming School of Medicine University of Calgary Canada Department of Applied Physics University of Eastern Finland Kuopio70211 Finland Department of Medical Physics and Biomedical Engineering University College London Gower Street LondonWC1E 6BT United Kingdom Technical University of Denmark Denmark Danish Research Center for Magnetic Resonance Copenhagen University Hospital Hvidovre Denmark Institute for Mathematical and Computational Engineering School of Engineering and Faculty of Mathematics Pontificia Universidad Catolica de Chile Santiago Chile

Computational models of acoustic wave propagation are frequently used in transcranial ultrasound therapy, for example, to calculate the intracranial pressure field or to calculate phase delays to correct for skull distortions. To allow intercomparison between the different modeling tools and techniques used by the community, an international working group was convened to formulate a set of numerical benchmarks. Here, these benchmarks are presented, along with intercomparison results. Nine different benchmarks of increasing geometric complexity are defined. These include a single-layer planar bone immersed in water, a multi-layer bone, and a whole skull. Two transducer configurations are considered (a focused bowl and a plane piston), giving a total of 18 permutations of the benchmarks. Eleven different modeling tools are used to compute the benchmark results. The models span a wide range of numerical techniques, including the finite-difference time-domain method, angular-spectrum method, pseudospectral method, boundary-element method, and spectral-element method. Good agreement is found between the models, particularly for the position, size, and magnitude of the acoustic focus within the skull. When comparing results for each model with every other model in a cross comparison, the median values for each benchmark for the difference in focal pressure and position are less than 10% and 1 mm, respectively. The benchmark definitions, model results, and intercomparison codes are freely available to facilitate further comparisons. Copyright © 2022, The Authors. All rights reserved.

关键词： Bone

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Comparison of Algebraic Reconstruction Technique Methods and Generative Adversarial Network in Image Reconstruction of Magnetic Induction Tomography (MIT)

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Journal of Physics: Conference Series 2021年第1期2071卷

作者： A J Lubis N F Mohd Nasir Z Zakaria M Jusoh M M Azizan M Z Zakaria M N F M Kazim S Rahman Faculty of Engineering and Computer Science Universitas Harapan Medan Medan Indonesia Computer Engineering Program Faculty of Electronic Engineering Technology Universiti Malaysia Perlis Perlis Malaysia Biomedical Electronic Engineering Program Faculty of Electronic Engineering Technology Universiti Malaysia Perlis Perlis Malaysia Sports Engineering Research Centre (SERC) Universiti Malaysia Perlis PerlisMalaysia Department of Electrical and Electronic Department Faculty of Engineering and Built Environment Universiti Sains Islam Malaysia Negeri Sembilan Malaysia Faculty of Mechanical Engineering Technology Universiti Malaysia Perlis Perlis Malaysia Mechatronic Engineering Program Faculty of Electrical Engineering Technology Universiti Malaysia Perlis Perlis Malaysia

Magnetic induction tomography (MIT) is a technique used for imaging electromagnetic properties of objects using eddy current effects. The non-linear characteristics had led to more difficulties with its solution especially in dealing with low conductivity imaging materials such as biological tissues. Two methods that could be applied for MIT image processing which is the Generative Adversarial Network (GAN) and the Algebraic Reconstruction Technique (ART). ART is widely used in the industry due to its ability to improve the quality of the reconstructed image at a high scanning speed. GAN is an intelligent method which would be able to carry out the training process. In the GAN method, the MIT principle is used to find the optimum global conductivity distribution and it is described as a training process and later, reconstructed by a generator. The output is an approximate reconstruction of the distribution's internal conductivity image. Then, the results were compared with the previous traditional algorithm, namely the regularization algorithm of BPNN and Tikhonov Regularization method. It turned out that GAN had able to adjust the non-linear relationship between input and output. GAN was also able to solve non-linear problems that cannot be solved in the previous traditional algorithms, namely Back Propagation Neural Network (BPNN) and Tikhonov Regularization method. There are several other intelligent algorithms such as CNN (Convolution Neural Network) and K-NN (K-Nearest Neighbor), but such algorithms have not been able to produce the expected image quality. Thus, further study is still needed for the improvement of the image quality. The expected result in this study is the comparison of these two techniques, namely ART and GAN to get the best results on the image reconstruction using MIT. Thus, it is shown that GAN is a better candidate for this purpose.

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Institutional capacity building of Bina Hang Tuah youth organization and Tambaan Indah waste bank in the context of plastic waste management in Tambaan Urban Village, Pasuruan City, East Java Province, Indonesia

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IOP Conference Series: Earth and Environmental science 2020年第1期584卷

作者： Rudianto E Yudaningtyas R D Kasitowati Marine Science Study Program Faculty of Fisheries and Marine Science University of Brawijaya Malang Indonesia Department of Electrical Engineering Faculty of Engineering Universitas Brawijaya Malang Indonesia Marine Science Study Program Faculty of Fisheries and Marine Science Universitas Brawijaya Malang Indonesia

Plastic waste in Indonesia has reached 64 million tons per year of which 3.2 million tons per year is discharged into the sea. Because of this condition, Indonesian coastal waters experience degradation. Plastic waste on the coast can be utilized to add value in the form of premium fuel, diesel and kerosene, using a destilator machine. The study was carried out on the coast of Tambaan Village, Pasuruan, East Java. The results indicate that the beach is clean and the processing results are in line with the community expectations. However, the beach has become dirty again and plastic waste has accumulated. The purpose of this study is to examine the relationship between youth organizations which are responsible for processing plastic waste, and waste banks that currently receive waste from the community. The methods used are analytical Hierarchy Process (AHP) and Partial Least Square (PLS). The two methods are used in the analysis of organizational capacity building and cooperative relations between Bina Hangtuah Youth organization and waste banks. The results of the analysis indicate that operating agreements and revenue sharing based on a 'win-win' solution including increasing human resources are an important basis for increasing institutional capacity.

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Wisdom of Crowds for Supporting the Safety Evaluation of Nanomaterials

SSRN

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SSRN 2025年

作者： Saarimäki, Laura Aliisa Fratello, Michele del Giudice, Giusy Di Lieto, Emanuele Afantitis, Antreas Alenius, Harri Chiavazzo, Eliodoro Gulumian, Mary Karisola, Piia Lynch, Iseult Mancardi, Giulia Melagraki, Georgia Netti, Paolo A. Papadiamantis, Anastasios G. Peijnenburg, Willie Santos, Hélder A. Serchi, Tommaso Shahbazi, Mohammad-Ali Stoeger, Tobias Valsami-Jones, Eugenia Vivo, Paola Vrček, Ivana Vinković Vogel, Ulla Wick, Peter Winkler, David A. Serra, Angela Greco, Dario Faculty of Medicine and Health Technology Tampere University Tampere33520 Finland Division of Pharmaceutical Biosciences Faculty of Pharmacy University of Helsinki Helsinki00790 Finland NovaMechanics Ltd Nicosia Cyprus Institute of Environmental Medicine Karolinska Institutet Stockholm171 77 Sweden Research Program Medical Faculty University of Helsinki Helsinki00290 Finland Politecnico di Torino Corso Duca degli Abruzzi 24 Torino10129 Italy National Institute for Occupational Health National Health Laboratory Services Johannesburg South Africa School of Geography Earth and Environmental Sciences University of Birmingham Birmingham United Kingdom Division of Physical Sciences and Applications Hellenic Military Academy Vari Greece Interdisciplinary Research Centre on Biomaterials-CRIB University of Napoli Federico II P.le Tecchio 80 Napoli80125 Italy Institute of Environmental Sciences Leiden University Leiden Netherlands National Institute of Public Health and the Environment Center for Safety of Products and Substances Bilthoven Netherlands University of Groningen Groningen Netherlands Drug Research Program Division of Pharmaceutical Chemistry and Technology Faculty of Pharmacy University of Helsinki Helsinki Finland Luxembourg Institute of Science and Technology 5 Avenue des Hauts Fourneaux Eschsur-Alzette4362 Luxembourg Munich Germany Solar Cells Faculty of Engineering and Natural Sciences Tampere University P.O. Box 541 TampereFI-33014 Finland Institute for Medical Research and Occupational Health Zagreb Croatia National Research Centre for the Working Environment Copenhagen ODK-2100 Denmark Lerchenfeldstrasse 5 St. Gallen9014 Switzerland La Trobe Institute of Molecular Science La Trobe University Bundoora3086 Australia Monash Institute of Pharmaceutical Sciences Monash University Parkville3052 Australia School of Pharmacy University of Nottingham NottinghamNG7 2QL United Kingdom Tampere Institute for Advanced Study

The development of new approach methodologies (NAMs) to replace current in vivo testing for the safety assessment of engineered nanomaterials (ENMs) is hindered by the scarcity of validated experimental data for a broad range of ENMs. We introduce a framework to address this challenge by harnessing the collective expertise of professionals from multiple complementary and related fields (‘wisdom of crowds’ or WoC). By integrating expert insights, we aim to fill data gaps and generate consensus concern scores for diverse ENMs, thereby enhancing the predictive power of nanosafety computational models. Our investigation reveals an alignment between expert opinion and experimental data, providing robust estimations of concern levels. Building upon these findings, we employ predictive machine learning models trained on the newly defined concern scores, ENM descriptors, and gene expression profiles, to quantify potential harm across various toxicity endpoints. These models further revealed key genes potentially involved in underlying toxicity mechanisms. Notably, genes associated with metal ion homeostasis, inflammation, and oxidative stress emerge as predictors of ENM toxicity across diverse endpoints. This study showcases the value of integrating expert knowledge and computational modeling to address the complexity of nanomaterial safety. Our work suggests that this interdisciplinary approach enhances the accuracy and efficiency of safety assessment in the rapidly evolving landscape of nanotechnology. © 2025, The Authors. All rights reserved.

关键词： Nanoclay

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