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p-Index From 2019 - 2024
0.444
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All Journal Journal of Novel Engineering Science and Technology
Amar Ratnakar Naik
PES University, Bangalore, India
Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Environmental Science Mechanical Engineering

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CFD Analysis of the Eccentricity Ratio on Journal Bearing due to Differences in Lubrication Type Vivi Failawati; Mohamad Yamin; Sri Poernomosari; Amar Ratnakar Naik
Journal of Novel Engineering Science and Technology Vol. 1 No. 02 (2022): Journal of Novel Engineering Science and Technology
Publisher : The Indonesian Institute of Science and Technology Research

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (762.303 KB) | DOI: 10.56741/jnest.v1i02.111

Abstract

Lubrication on journal bearings plays a vital role in reducing metal-to-metal friction, separates the reliable components. Often there is a decrease in lubrication conditions, which will cause failure or a change in roughness to the inner surface. Direct metal-to-metal contact between the bearing's inner and journal surface will gradually deform the bearing. In diesel engine applications, lubrication is aiming to minimize failure or damage to the journal bearing. This paper investigates a 3D CAD model of a journal bearing using the ANSYS Computational Fluid Dynamics software. The effect of eccentricity ratio is analyzed for semisynthetic lubricating oil R3 10W-30 and synthetic oil. The result shows that synthetic oil has a considerable pressure compared to R3 10W-30, especially at a higher eccentricity ratio.
Latest Trends in Visual Manipulation and Navigation in Robotics Muhammad Miftahul Amri; Franklin Ore Areche; Amar Ratnakar Naik
Journal of Novel Engineering Science and Technology Vol. 2 No. 01 (2023): Journal of Novel Engineering Science and Technology
Publisher : The Indonesian Institute of Science and Technology Research

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56741/jnest.v2i01.253

Abstract

In recent decades, the term Robot has become more and more popular. A robot can be defined as a machine that is specifically built to complete certain tasks to help human-being. In order to successfully accomplish its task, the robot needs to receive input data and process it. Then, the processed data is used for manipulator-actions decision-making. The input data can vary from sound, temperature, vibration, touch, vision, etc. Among those input data, vision is arguably one of the most challenging data. This is because vision often needs detailed and complicated preprocessing before it can be used. In addition, vision data size is relatively larger compared to the other type of input data, making it more challenging to process considering the computational resources. In this paper, current research and future development trend of robotic vision were reviewed and discussed. Further, challenges and potential issues about robot vision, such as safety and privacy concerns, were also discussed.
Co-Authors Franklin Ore Areche Mohamad Yamin Muhammad Miftahul Amri Sri Poernomosari Vivi Failawati