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Optimization of preparation parameters of palm oil-based nanofuel with multi wall carbon nanotube (MWCNT) for stability using Taguchi-grey relation analysis (GRA) combination

Mechanical Engineering for Society and Industry · Vol. 4 No. 2 (2024) · hlm. 223–236

DOI
10.31603/mesi.11945
ISSN
2798-5245
Terbit
2024-12-15
Penerbit
Universitas Muhammadiyah Magelang
Bahasa
en

Abstrak

This research optimizes the preparation parameters of palm oil-based nanofuel and Multi Wall Carbon Nanotube (MWCNT) to produce stable nanofuel. The parameters optimized include stirrer speed, sonication time, sonication power, and surfactant ratio, with stability measured through absorbance and sedimentation ratio (SR). The Taguchi method, using an L9 orthogonal array designed with minitab 19.0 software, was employed for single-objective optimization, while Grey Relation Analysis (GRA) is applied for multi-objective optimization. Experimental results show that the optimal conditions for absorbance are stirrer speed of 1000 rpm, sonication time of 30 minutes, sonication power of 200 watts, and surfactant ratio of 1, whereas for sedimentation ratio the optimal conditions are stirrer speed of 1000 rpm, sonication time of 30 minutes, sonication power of 150 watts, and surfactant ratio of 1. ANOVA analysis reveals that surfactant concentration contributes the most to nanofuel stability, with contributions of 79.63% for absorbance and 82.60% for sedimentation ratio. Multi-objective GRA optimization results also show that surfactant concentration is the most dominant factor, contributing 71.5% to the Grey Relational Grade (GRG). The consistency of optimal parameters yielded by both Taguchi and GRA methods reinforces the validity and consistency of this study's results. This research provides a strong foundation for the development of more stable nanofuels, potentially enhancing energy efficiency and sustainability. These findings offer practical guidelines for real-world applications and make significant contributions to nanofuel technology

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  • State University of Malang
  • Universiti Teknologi Petronas
  • Oregon Institute of Technology
  • University of Brawijaya
  • Syarif Hidayatullah State Islamic University Jakarta
  • Universiti Sains Islam Malaysia
  • Mahsa University
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Rekan penulisOrganisasiArtikel bersama
Avita Ayu PermanasariState University of Malang5
Diki Dwi PramonoState University of Malang5
Fina Nur NabillahState University of Malang4
Mohammad Sukri MustapaTun Hussein Onn University of Malaysia4
Timotius PasangOregon Institute of Technology2
Alief MuhammadState University of Malang2
Aminnudin AminnudinState University of Malang2
Syafira Bilqis KhoyrohState University of Malang2
Maykel ManawanAfiliasi tidak diketahui1
Femiana GapsariUniversity of Brawijaya1
Heru SuryantoState University of Malang1
Rifqi Ryandi Dwi AnantoState University of Malang1
Ayu WarestuState University of Malang1
Gilang Putra Pratama ArifiansyahState University of Malang1
Sukarni SukarniState University of Malang1
Dharma MaheswaraState University of Malang1
Wahyunengsih WahyunengsihSyarif Hidayatullah State Islamic University Jakarta1
Muhammad Najib MauludiState University of Malang1
Sukarni SukarniState University of Malang1
Siti Nur Azella ZaineUniversiti Teknologi Petronas1
S. M. Shahrul Nizan Shikh ZahariUniversiti Sains Islam Malaysia1
Nur Azliza AhmadMahsa University1
Nanang QosimPoliteknik Negeri Malang1
Putut MurdantoState University of Malang1
Dany Ardymas KurniawanState University of Malang1
Ahmad Atif FikriState University of Malang1
Jeefferie Abd RazakUniversiti Teknikal Malaysia Melaka1
Dani Hari Tunggal PrasetiyoUniversitas Jember1
Nandang MuftiState University of Malang1
Anisa Ur RahmahMuhammadiyah University of Surakarta1
Ahmad Atif FikriState University of Malang1
Deny Yudo WahyudiState University of Malang1
Maizatul Shima ShaharunUniversiti Teknologi Petronas1

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Sumber metadata: OAI-PMH (metadata jurnal) https://journal.unimma.ac.id/index.php/mesi/oai, pertama di-harvest 9 Nov 2026, terakhir terlihat 9 Nov 2026.
Metadata asli (oai_dc) 
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	<dc:title xml:lang="en">Optimization of preparation parameters of palm oil-based nanofuel with multi wall carbon nanotube (MWCNT) for stability using Taguchi-grey relation analysis (GRA) combination</dc:title>
	<dc:creator xml:lang="en">Nauri, Imam Muda</dc:creator>
	<dc:creator xml:lang="en">Andoko, Andoko</dc:creator>
	<dc:creator xml:lang="en">Prasetya, Riduwan</dc:creator>
	<dc:creator xml:lang="en">Pasha, Muhammad Faizullah</dc:creator>
	<dc:creator xml:lang="en">Akbar, Muhamad Rizky</dc:creator>
	<dc:creator xml:lang="en">Darmawan, Muhammad Wahid</dc:creator>
	<dc:creator xml:lang="en">Puspitasari, Poppy</dc:creator>
	<dc:subject xml:lang="en">Nanofuel</dc:subject>
	<dc:subject xml:lang="en">Optimization</dc:subject>
	<dc:subject xml:lang="en">Taguchi</dc:subject>
	<dc:subject xml:lang="en">GRA</dc:subject>
	<dc:subject xml:lang="en">MWCNT</dc:subject>
	<dc:subject xml:lang="en">Palm oil</dc:subject>
	<dc:description xml:lang="en">This research optimizes the preparation parameters of palm oil-based nanofuel and Multi Wall Carbon Nanotube (MWCNT) to produce stable nanofuel. The parameters optimized include stirrer speed, sonication time, sonication power, and surfactant ratio, with stability measured through absorbance and sedimentation ratio (SR). The Taguchi method, using an L9 orthogonal array designed with minitab 19.0 software, was employed for single-objective optimization, while Grey Relation Analysis (GRA) is applied for multi-objective optimization. Experimental results show that the optimal conditions for absorbance are stirrer speed of 1000 rpm, sonication time of 30 minutes, sonication power of 200 watts, and surfactant ratio of 1, whereas for sedimentation ratio the optimal conditions are stirrer speed of 1000 rpm, sonication time of 30 minutes, sonication power of 150 watts, and surfactant ratio of 1. ANOVA analysis reveals that surfactant concentration contributes the most to nanofuel stability, with contributions of 79.63% for absorbance and 82.60% for sedimentation ratio. Multi-objective GRA optimization results also show that surfactant concentration is the most dominant factor, contributing 71.5% to the Grey Relational Grade (GRG). The consistency of optimal parameters yielded by both Taguchi and GRA methods reinforces the validity and consistency of this study's results. This research provides a strong foundation for the development of more stable nanofuels, potentially enhancing energy efficiency and sustainability. These findings offer practical guidelines for real-world applications and make significant contributions to nanofuel technology</dc:description>
	<dc:publisher xml:lang="en">Universitas Muhammadiyah Magelang</dc:publisher>
	<dc:date>2024-12-15</dc:date>
	<dc:type>info:eu-repo/semantics/article</dc:type>
	<dc:type>info:eu-repo/semantics/publishedVersion</dc:type>
	<dc:format>application/pdf</dc:format>
	<dc:identifier>https://journal.unimma.ac.id/mesi/article/view/11945</dc:identifier>
	<dc:identifier>10.31603/mesi.11945</dc:identifier>
	<dc:source xml:lang="en">Mechanical Engineering for Society and Industry; Vol. 4 No. 2 (2024); 223-236</dc:source>
	<dc:source>2798-5245</dc:source>
	<dc:language>en</dc:language>
	<dc:relation>https://journal.unimma.ac.id/mesi/article/view/11945/5519</dc:relation>
	<dc:rights xml:lang="en">Copyright (c) 2024 Imam Muda Nauri, Andoko Andoko, Riduwan Prasetya, Muhammad Faizullah Pasha, Muhamad Rizky Akbar, Muhammad Wahid Darmawan, Poppy Puspitasari</dc:rights>
</oai_dc:dc>