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All Journal Mechanical Engineering for Society and Industry Automotive Experiences
Aditya Kolakoti
Raghu Engineering College, India
Aerospace Engineering Automotive Engineering Chemical Engineering, Chemistry & Bioengineering Control & Systems Engineering Electrical & Electronics Engineering Energy Engineering Industrial & Manufacturing Engineering Materials Science & Nanotechnology Mechanical Engineering Transportation

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Elemental, Thermal and Physicochemical Investigation of Novel Biodiesel from Wodyetia Bifurcata and Its Properties Optimization using Artificial Neural Network (ANN) Aditya Kolakoti; Bobbili Prasadarao; Katakam Satyanarayana; Muji Setiyo; Hasan Köten; Metta Raghu
Automotive Experiences Vol 5 No 1 (2022)
Publisher : Automotive Laboratory of Universitas Muhammadiyah Magelang in collaboration with Association of Indonesian Vocational Educators (AIVE)

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1054.144 KB) | DOI: 10.31603/ae.6171

Abstract

In this study, an unexplored oil from the wodyetia bifurcata fruit was used for biodiesel production. The transesterification process was implemented to convert the raw oil into wodyetia bifurcata methyl ester (WBME) and the influence of process variables on WBME yield was examined with the response surface method (RSM) assisted Box-Behnken optimization. The results of RSM show that a maximum biodiesel yield of 94.67% was achieved and reaction time was identified as an influencing process variable. The fatty acid composition (FAC) from chromatography reveals the presence of highly unsaturated in WBME and the significant fuel properties of thermal and molecular meet the required fuel standards (ASTM). The obtained fuel properties of WBME are compared with other popularly used biodiesels and observed low kinematic viscosity (3.87mm2/sec) and moderated cetane number (53) for WBME. Furthermore, artificial neural network (ANN) tools are used for the prediction of WBME yield and show an improvement of 0.4% than RSM and low mean square error and a high coefficient of correlation was observed for ANN.
Industry 4.0: Challenges of Mechanical Engineering for Society and Industry Muji Setiyo; Tuessi Ari Purnomo; Dori Yuvenda; Muhammad Kunta Biddinika; Nor Azwadi Che Sidik; Olusegun David Samuel; Aditya Kolakoti; Alper Calam
Mechanical Engineering for Society and Industry Vol 1 No 1 (2021)
Publisher : Universitas Muhammadiyah Magelang

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (459.52 KB) | DOI: 10.31603/mesi.5309

Abstract

Today, in the industry 4.0 era, the boundaries of scientific disciplines are blurred, everything seems to be interrelated and shows the ability to be combined. Intelligent sensors combined with Artificial Intelligence (AI) have demonstrated their ability to influence processes, design, and maintenance in manufacturing systems. Mechanical engineering tasked with solving complex engineering problems must be able to adapt to this transformation, especially in the use of digital and IT to combine the principles of physics and engineering mathematics with materials science to design, analyze, manufacture, and maintain mechanical systems. On the other hand, mechanical engineering must also contribute to a better future life. Therefore, one of the keys to consistently playing a role is to think about sustainability, in order to provide benefits for society and industry, in any industrial era.
Biodiesel Production from Waste Cooking Oil: Characterization, Modeling and Optimization Aditya Kolakoti; Muji Setiyo; Budi Waluyo
Mechanical Engineering for Society and Industry Vol 1 No 1 (2021)
Publisher : Universitas Muhammadiyah Magelang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31603/mesi.5320

Abstract

In this study, waste and discarded cooking oils (WCO) of palm, sunflower, rice bran and groundnut oils are collected from local restaurants. The high viscous WCO was converted into waste cooking oil biodiesel (WCOBD) by a single-stage transesterification process. During the transesterification process, the important parameters which show a significant change in biodiesel yield are studied using the optimization tool of response surface methodology (RSM). Results reported that 91.30% biodiesel yield was achieved within L18 experiments and NaOH catalyst was identified as the most influential parameter on WCOBD yield. Artificial Intelligence (AI) based modeling was also carried out to predict biodiesel yield. From AI modeling, a predicted yield of 92.88% was achieved, which is 1.70% higher than the RSM method. These results reveal the prediction capabilities and accuracy of the chosen modeling and optimization methods. In addition, the significant fuel properties are measured and observed within the scope of ASTM standards (ASTMD6751) and fatty acid profiles from chromatography reveal the presence of high unsaturated fatty acids in WCOBD. Therefore, utilizing the waste cooking oils for biodiesel production can mitigate the global challenges of environmental and energy paucity.
The role of bio-based cutting fluids for sustainable manufacturing and machining processes: A holistic review Arun Kumar Katam; Ramesh Chandra Mohanty; Aditya Kolakoti
Mechanical Engineering for Society and Industry Vol 3 No 3 (2023): Special Issue on Technology Update 2023
Publisher : Universitas Muhammadiyah Magelang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31603/mesi.10680

Abstract

Metal cutting fluids (MCFs) play a significant role in cooling and lubricating the cutting zones during various machining operations. The commercially available MCFs like mineral and petroleum oils cater to approximately 75% of the market needs. However, these MCFs harm the worker's health and environment. Therefore, sustainable and eco-friendly MCFs are gaining widespread acceptance in industries. This study critically analyses the recent improvements in metal cutting fluids in drilling, milling, and turning operations with the prospect of accomplishing green and sustainable manufacturing. Furthermore, this study highlights the role of bio-based cutting fluids in the manufacturing industry and the effect of non-bio-based coolants on the environment, and human health hazards are highlighted. In addition, this study analyses minimum quantity lubrication (MQL) techniques applied in various metal-removing operations. Finally, this review article recommends that bio-based cutting fluids combined with MQL techniques can achieve the sustainability goals of the manufacturing industry.
Co-Authors Alper Calam Arun Kumar Katam Bobbili Prasadarao Budi Waluyo Dori Yuvenda Hasan Köten Katakam Satyanarayana Metta Raghu Muhammad Kunta Biddinika Muji Setiyo Nor Azwadi Che Sidik Olusegun David Samuel Ramesh Chandra Mohanty Tuessi Ari Purnomo