Sessile Drop Method Prediction of Particleboard Mechanical Properties

<span lang="EN-US">Agriculture waste-based materials have considerable potential as wood-based particleboard alternatives. It has been produced abundantly from nature and considers an eco-friendly material. One of the enormous resources is the paddy by-product, rice straw (about 500...

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Main Authors: Mekro Permana Pinem, Aldiansyah Rudy Adiwinoto, Yusvardi Yusuf, Dhimas Satria, Dwianto Dwianto, Sunardi Sunardi, Hendra Hendra, Nufus Kanani, Harly Demustila, Dimas Triwibowo
Format: Article
Language:English
Published: Department of Mechanical Engineering, Faculty of Engineering, Universitas Andalas 2024-04-01
Series:Metal: Jurnal Sistem Mekanik dan Termal
Online Access:https://metal.ft.unand.ac.id/index.php/metal/article/view/276
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author Mekro Permana Pinem
Aldiansyah Rudy Adiwinoto
Yusvardi Yusuf
Dhimas Satria
Dwianto Dwianto
Sunardi Sunardi
Hendra Hendra
Nufus Kanani
Harly Demustila
Dimas Triwibowo
author_facet Mekro Permana Pinem
Aldiansyah Rudy Adiwinoto
Yusvardi Yusuf
Dhimas Satria
Dwianto Dwianto
Sunardi Sunardi
Hendra Hendra
Nufus Kanani
Harly Demustila
Dimas Triwibowo
author_sort Mekro Permana Pinem
collection DOAJ
description <span lang="EN-US">Agriculture waste-based materials have considerable potential as wood-based particleboard alternatives. It has been produced abundantly from nature and considers an eco-friendly material. One of the enormous resources is the paddy by-product, rice straw (about 500 million tonnes per year worldwide). In this work, the mechanical properties of rice straw-based particleboard are predicted easily and quickly using the sessile drop method.  Rice straw was crushed into 2-5 mm diameter powder-like materials, and corn starch was used as the binder. The rice straw particleboard was formed under a hot press machine (5 MPa, 180°C and 120 minutes). Conventionally, the sample mechanical property was tested through Universal Testing Machine (UTM). Unfortunately, the process is costly and difficult to access. It is necessary to have a rapid and low-cost presumption of the mechanical particleboard properties toward more efficient manufacturing. This work proposes a simple sessile drop method to indicate particleboard mechanical properties. Multiple linear regression was performed to see the correlation between sessile drop and UTM testing. It was found statistically that the sessile drop method could be used as an early prediction of particleboard mechanical properties.</span>
format Article
id doaj-art-67b96c3b51fb4381a335dada498bbd31
institution Kabale University
issn 2598-1137
2597-4483
language English
publishDate 2024-04-01
publisher Department of Mechanical Engineering, Faculty of Engineering, Universitas Andalas
record_format Article
series Metal: Jurnal Sistem Mekanik dan Termal
spelling doaj-art-67b96c3b51fb4381a335dada498bbd312025-02-01T10:20:40ZengDepartment of Mechanical Engineering, Faculty of Engineering, Universitas AndalasMetal: Jurnal Sistem Mekanik dan Termal2598-11372597-44832024-04-018161310.25077/metal.8.1.6-13.2024142Sessile Drop Method Prediction of Particleboard Mechanical PropertiesMekro Permana Pinem0Aldiansyah Rudy Adiwinoto1Yusvardi Yusuf2Dhimas Satria3Dwianto Dwianto4Sunardi Sunardi5Hendra Hendra6Nufus Kanani7Harly Demustila8Dimas Triwibowo9Universitas Sultan Ageng Tirtayasa BantenUniversitas Sultan Ageng Tirtayasa BantenUniversitas Sultan Ageng Tirtayasa BantenUniversitas Sultan Ageng Tirtayasa BantenUniversitas Sultan Ageng Tirtayasa BantenUniversitas Sultan Ageng Tirtayasa BantenUniversitas Sultan Ageng Tirtayasa BantenUniversitas Sultan Ageng Tirtayasa BantenUniversitas Sultan Ageng Tirtayasa BantenUniversitas Sultan Ageng Tirtayasa Banten<span lang="EN-US">Agriculture waste-based materials have considerable potential as wood-based particleboard alternatives. It has been produced abundantly from nature and considers an eco-friendly material. One of the enormous resources is the paddy by-product, rice straw (about 500 million tonnes per year worldwide). In this work, the mechanical properties of rice straw-based particleboard are predicted easily and quickly using the sessile drop method.  Rice straw was crushed into 2-5 mm diameter powder-like materials, and corn starch was used as the binder. The rice straw particleboard was formed under a hot press machine (5 MPa, 180°C and 120 minutes). Conventionally, the sample mechanical property was tested through Universal Testing Machine (UTM). Unfortunately, the process is costly and difficult to access. It is necessary to have a rapid and low-cost presumption of the mechanical particleboard properties toward more efficient manufacturing. This work proposes a simple sessile drop method to indicate particleboard mechanical properties. Multiple linear regression was performed to see the correlation between sessile drop and UTM testing. It was found statistically that the sessile drop method could be used as an early prediction of particleboard mechanical properties.</span>https://metal.ft.unand.ac.id/index.php/metal/article/view/276
spellingShingle Mekro Permana Pinem
Aldiansyah Rudy Adiwinoto
Yusvardi Yusuf
Dhimas Satria
Dwianto Dwianto
Sunardi Sunardi
Hendra Hendra
Nufus Kanani
Harly Demustila
Dimas Triwibowo
Sessile Drop Method Prediction of Particleboard Mechanical Properties
Metal: Jurnal Sistem Mekanik dan Termal
title Sessile Drop Method Prediction of Particleboard Mechanical Properties
title_full Sessile Drop Method Prediction of Particleboard Mechanical Properties
title_fullStr Sessile Drop Method Prediction of Particleboard Mechanical Properties
title_full_unstemmed Sessile Drop Method Prediction of Particleboard Mechanical Properties
title_short Sessile Drop Method Prediction of Particleboard Mechanical Properties
title_sort sessile drop method prediction of particleboard mechanical properties
url https://metal.ft.unand.ac.id/index.php/metal/article/view/276
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AT dhimassatria sessiledropmethodpredictionofparticleboardmechanicalproperties
AT dwiantodwianto sessiledropmethodpredictionofparticleboardmechanicalproperties
AT sunardisunardi sessiledropmethodpredictionofparticleboardmechanicalproperties
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