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Optimal Design of Lubricated Journal Bearing under Surface Roughness Arrangement

(Conference Paper)

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Diponegoro University, Laboratory for Engineering Design and Tribology, Semarang, 50275, Indonesia PT PLN (Persero) Research Institute, 12760, Indonesia

Abstract

Journal bearings as machine elements have always been of particular interest due to widespread applications.

However, high level of power loss limits the reliability of lubricated journal bearing . The current paper explores the possibility of employing the artificial roughness in bearing in order to enhance performance behavior based on computational fluid dynamics (CFD) analysis. The hydrodynamic performance is calculated by Navier-Stokes equation coupled with continuity equation with finite volume method. In order to obtain more accurate results, the multiphase cavitation model is also considered in the computation. The hydrodynamic pressure as well as the load support is presented for two kinds of loading (low vs high) varying the surface roughness levels. The results show that for heavy loaded bearing , the surface roughness has an important influence on the lubrication characteristics of the

bearing , while for light loaded one, the surface roughness effect is not so significant. This study contributes to the improvement of the journal bearing performance. © IEEE.

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Prominence percentile: 85.877

Author keywords

cavitation Computational Fluid Dynamics (CFD) finite journal bearing load support surface roughness

Indexed keywords

Engineering controlled terms:

Computational fluid dynamics Finite volume method Hydrodynamics Lubrication Navier Stokes equations Surface roughness

Engineering uncontrolled terms

Artificial roughness Computational fluid dynamics analysis Continuity equations Hydrodynamic performance Hydrodynamic pressure Lubricated journal bearings Lubrication characteristics Surface roughness effects

Engineering main heading:

Journal bearings

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2019 International Conference on Technologies and Policies in Electric Power and Energy, TPEPE 2019

October 2019, Article number 9102566

2019 International Conference on Technologies and Policies in Electric Power and Energy, TPEPE 2019; Yogyakarta; Indonesia; 21 October 2019 through 22 October 2019; Category

numberCFP19BWE-ART; Code 160451

Tauviqirrahman, M.a  Paryanto, P.a Indrawan, H.b Cahyo, N.b Simaremare, A.b Aisyah, S.b

a b



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Journal Bearing | Micropolar | Hydrostatic

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Influence of roughness on the behavior of three-dimensional journal bearing based on fluid- structure interaction approach Tauviqirrahman, M. Ichsan, B.C.

Jamari

Effect of inertia on the cavitation phenomena of hydrodynamic textured bearings considering slip

Jamari, J. Muchammad, M.

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Multiphase computational fluid dynamics analysis of

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Source Type: Conference Proceeding Original language: English

DOI: 10.1109/IEEECONF48524.2019.9102566 Document Type: Conference Paper

Publisher: Institute of Electrical and Electronics Engineers Inc.

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6Author(s) Jun Yang ; Xuemei Long ; Xueli Pan ; Fuzhang Wu ; Xiangpeng Zhan ; Yangjia Lin All Authors

Electric Vehicle Charging Load Forecasting Model Considering Road Network-Power Grid Information

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Abstract: With the rapid development of electric vehicles, it is important to predict the charging load of electric vehicles for the power grid. Considering that both the road netw... View more

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Published in: 2019 International Conference on Technologies and Policies in Electric Power & Energy

Abstract:

With the rapid development of electric vehicles, it is important to predict the charging load of electric vehicles for the power grid. Considering that both the road network and the power grid have an impact on the charging load of electric vehicles, this paper proposes a charging load forecasting model based on the interactive architecture of the road network and the power grid. Firstly, the travel destination is obtained from the vehicle travel characteristics, and the specific driving process of the vehicle is simulated by microscopic traffic simulation. Then, the power flow is calculated in real time according to the current load, and the charging price is changed synchronously by the node voltage. Finally, predict the space-time distribution of electric vehicle charging load and study the impact of charging load on the power grid. Taking Beijing Third Ring Road Network model and IEEE30 node grid as an example, the charging load of EV is predicted, and the validity of the model is verified. The simulation results show that the distribution of charging load of taxi and private car is quite different in time and space, the charging load makes the grid voltage drop seriously.

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Date of Conference: 21-22 Oct. 2019 Date Added to IEEE Xplore: 28 May 2020

ISBN Information:

INSPEC Accession Number: 19651686

DOI:

10.1109/IEEECONF48524.2019.9102549 Publisher: IEEE

Conference Location: Yogyakarta, Indonesia, Indonesia

Jun Yang

Wuhan University,School of Electrical Engineering and Automation,Whuhan,China

Xuemei Long

Wuhan University,School of Electrical Engineering and Automation,Whuhan,China

Xueli Pan

Wuhan Power Supply Company,Dispatch Center,Whuhan,China

Fuzhang Wu

Wuhan University,School of Electrical Engineering and Automation,Whuhan,China

Xiangpeng Zhan

Wuhan University,School of Electrical Engineering and Automation,Whuhan,China

Yangjia Lin

Wuhan University,School of Electrical Engineering and Automation,Whuhan,China

I. Introduction

Environmental pollution, energy shortage and other issues have gradually attracted people's attention. Electric vehicles (EVs) as environmentally friendly vehicles have developed rapidly .

Accurately predicting the charging load of EVs is the basis for analyzing the impact of EVs on the power grid, and is a necessary prerequisite for the interaction between EVs and the power grid.

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Jun Yang

Wuhan University,School of Electrical Engineering and Automation,Whuhan,China

Xuemei Long

Wuhan University,School of Electrical Engineering and Automation,Whuhan,China

Xueli Pan

Wuhan Power Supply Company,Dispatch Center,Whuhan,China

Fuzhang Wu

Wuhan University,School of Electrical Engineering and Automation,Whuhan,China

Xiangpeng Zhan

Wuhan University,School of Electrical Engineering and Automation,Whuhan,China

Yangjia Lin

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4Author(s) Matthew Stocks ; Andrew Blakers ; Cheng Cheng ; Bin Lu All Authors

Towards 100% renewable electricity for Indonesia: the role for solar and pumped hydro storage

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Document Sections I. Introduction II. The sunbelt III. Indonesian solar

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Abstract: 60% of global annual net new capacity comprise the addition of solar photovoltaics (PV) and wind. Indonesia has good solar resources by world standards, with low seasonal... View more

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Published in: 2019 International Conference on Technologies and Policies in Electric Power & Energy

Abstract:

60% of global annual net new capacity comprise the addition of solar photovoltaics (PV) and wind. Indonesia has good solar resources by world standards, with low seasonal variation. There is also some wind energy potential. Solar PV is likely to be cheaper than new coal generation and can be rapidly deployed at every scale throughout Indonesia. Balancing an electricity system with large fractions of variable solar PV and wind can be managed with established techniques comprising stronger interconnection over large areas to average out local weather variations; storage; demand

management; and occasional spillage of renewable electricity. Pumped hydro is by far the leading method of energy storage. Indonesia has 26,000 good pumped hydro sites with storage capacity of 821,000 Gigawatt-hours (GWh), which is about 1,000 times more than needed to support a 100% renewable Indonesian electricity system.

Date of Conference: 21-22 Oct. 2019 Date Added to IEEE Xplore: 28 May 2020

INSPEC Accession Number: 19651671

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ISBN Information: DOI:

10.1109/IEEECONF48524.2019.9102581 Publisher: IEEE

Conference Location: Yogyakarta, Indonesia, Indonesia

Matthew Stocks

Australian National University,Research School of Electrical, Energy and Materials Engineering,Canberra,Australia

Andrew Blakers

Australian National University,Research School of Electrical, Energy and Materials Engineering,Canberra,Australia

Cheng Cheng

Australian National University,Research School of Electrical, Energy and Materials Engineering,Canberra,Australia

Bin Lu

Australian National University,Research School of Electrical, Energy and Materials,Canberra,Australia

Matthew Stocks

Australian National University,Research School of Electrical, Energy and Materials Engineering,Canberra,Australia

Andrew Blakers

Australian National University,Research School of Electrical, Energy and Materials Engineering,Canberra,Australia

Cheng Cheng

Australian National University,Research School of Electrical, Energy and Materials Engineering,Canberra,Australia

Bin Lu

Australian National University,Research School of Electrical, Energy and Materials,Canberra,Australia

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2Author(s) Rivan Muhfidin ; Ing-Song Yu All Authors

Thermal Analysis of PV Module and the Effect on its Efficiency

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Abstract: The performance of a photovoltaic (PV) module depends on some factors, such as the variation of solar radiation, convection heat transfer coefficient and temperature. The... View more

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The performance of a photovoltaic (PV) module depends on some factors, such as the variation of solar radiation, convection heat transfer coefficient and temperature. The aim of this work is to consider the performance of the silicon-based PV module through the thermal analysis by using ANSYS software. The PV module consists of glass, ethyl vinyl acetate (EVA), solar cell, EVA, and polyvinyl fluoride (PVF) from top to bottom. The simulation of the heat loss using ANSYS is obtained by the thermal conductivity of the materials, the different convection, and different solar irradiation. The environmental condition of PV module, with solar radiation 1000 W/m , convective heat coefficient 8 W/m and ambient temperature 25°C, makes the module temperature to 47.15°C and the estimated efficiency to 13.50%. As the increase of the ambient temperature to 50°C, the estimated efficiency goes down to 11.82%. Since the temperature increases, the efficiency of the PV module will decrease. Meanwhile, the decrease of solar irradiation at 500 W/m makes the improvement of estimated PV efficiency at 14.25%, which means the thermal management of the PV module is very important for the PV applications.

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Date of Conference: 21-22 Oct. 2019 Date Added to IEEE Xplore: 28 May 2020

ISBN Information:

INSPEC Accession Number: 19651712

DOI:

10.1109/IEEECONF48524.2019.9102515 Publisher: IEEE

Conference Location: Yogyakarta, Indonesia, Indonesia

Rivan Muhfidin

National Dong Hwa University, Taiwan Mechanical Engineering Department Institut Teknologi Nasional Yogyakarta, Indonesia,Department of Materials Science and Engineering,Hualien

Ing-Song Yu

National Dong Hwa University, Taiwan,Department of Materials Science and Engineering,Hualien

I. Introduction

Energy becomes one of the main demands of human beings in the world. Energy can be transformed from one form to another. One of the energies that easily get from natural resources is solar energy. The source of solar energy is the sun. The sun is responsible for directly producing the most renewable energy sources [1]. Solar energy can be utilized by a photovoltaic (PV) system. A photovoltaic system is converting solar radiation becomes electricity. The photovoltaic panel is able to convert solar radiation around 13 to 20% become electricity while the rest becomes heat [2]. Photovoltaic becomes a promising option to fill energy consumption demand because of its ability to convert electricity from renewable energy sources [3].

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Rivan Muhfidin

National Dong Hwa University, Taiwan Mechanical Engineering Department Institut Teknologi Nasional Yogyakarta, Indonesia,Department of Materials Science and Engineering,Hualien

Ing-Song Yu

National Dong Hwa University, Taiwan,Department of Materials Science and Engineering,Hualien

Contents

(23)

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