Lee Woon Kiow

About Lee Woon Kiow

Lee Woon Kiow, With an exceptional h-index of 8 and a recent h-index of 8 (since 2020), a distinguished researcher at Universiti Tun Hussein Onn Malaysia, specializes in the field of Tool condition monitoring, machining, image processing.

His recent articles reflect a diverse array of research interests and contributions to the field:

The Investigation of Material Removal Rate on Electrical Discharge Machining of Titanium Alloys (Ti-6Al-4V) at Different Peak Currents and Pulse Durations by Using RBD Palm Oil …

Performance investigation of graphene based-nanofluids as a metalworking fluid for turning process

The Impact of Heating Temperature and Flux Ratio on the In-Situ Casting Technique as a Direct Recycling of AlSi7Mg Machining Chips

Sustainable Electrical Discharge Machining (EDM) Of Inconel 718 When Using RBD Palm Oil Based Dielectric Fluid

Electrode Wear Rate of RBD Palm Oil as Dielectric Fluids on Electrical Discharge Machining (EDM) at Different Peak Current and Pulse Duration of Titanium Alloys

Development of A Tool Condition Monitoring System for Flank Wear in Turning Process Using Machine Learning

Tool Wear Prediction Using Multiple Regression in Turning

The influence of hBN particles in modified Jatropha-based oil as a metalworking fluid on tool life and tool wear during turning process

Lee Woon Kiow Information

University

Position

___

Citations(all)

292

Citations(since 2020)

280

Cited By

90

hIndex(all)

8

hIndex(since 2020)

8

i10Index(all)

7

i10Index(since 2020)

6

Email

University Profile Page

Google Scholar

Lee Woon Kiow Skills & Research Interests

Tool condition monitoring

machining

image processing

Top articles of Lee Woon Kiow

The Investigation of Material Removal Rate on Electrical Discharge Machining of Titanium Alloys (Ti-6Al-4V) at Different Peak Currents and Pulse Durations by Using RBD Palm Oil …

Journal of Advanced Research in Applied Mechanics

2024/3/22

Performance investigation of graphene based-nanofluids as a metalworking fluid for turning process

AIP Conference Proceedings

2024/3/21

The Impact of Heating Temperature and Flux Ratio on the In-Situ Casting Technique as a Direct Recycling of AlSi7Mg Machining Chips

Journal of Advanced Research in Micro and Nano Engineering

2024/2/7

Sustainable Electrical Discharge Machining (EDM) Of Inconel 718 When Using RBD Palm Oil Based Dielectric Fluid

Journal of Sustainable Manufacturing in Transportation

2023

Electrode Wear Rate of RBD Palm Oil as Dielectric Fluids on Electrical Discharge Machining (EDM) at Different Peak Current and Pulse Duration of Titanium Alloys

Journal of Advanced Research in Fluid Mechanics and Thermal Sciences

2023/12/31

Development of A Tool Condition Monitoring System for Flank Wear in Turning Process Using Machine Learning

Rock Mechanics and Rock Engineering

2017/5

Tool Wear Prediction Using Multiple Regression in Turning

Research Progress in Mechanical and Manufacturing Engineering

2023/6/1

Lee Woon Kiow
Lee Woon Kiow

H-Index: 5

The influence of hBN particles in modified Jatropha-based oil as a metalworking fluid on tool life and tool wear during turning process

AIP Conference Proceedings

2023/5/22

The performance of thermosetting plastic waste reinforced sustainable brick

AIP Conference Proceedings

2023/5/22

Physical Properties of New Formulation of Hybrid Nanofluid-based Minimum Quantity Lubrication (MQL) from Modified Jatropha Oil as Metalworking Fluid

Journal of Advanced Research in Fluid Mechanics and Thermal Sciences

2023/1/15

Electrode Wear Rate On Electrical Discharge Machining of Titanium Alloys (Ti-6Al-4V) At Different Peak Current and Pulse Duration by Using Modified RBD Palm Oil as Dielectric …

International Journal of Integrated Engineering

2022/12/21

Vibration Characteristic of Difference Rail Crack Via 3-D Numerical Method

Research Progress in Mechanical and Manufacturing Engineering

2022/8/14

Lee Woon Kiow
Lee Woon Kiow

H-Index: 5

Prediction Of Surface Roughness and Tool Wear from The Machined Surface by Machine Vision Approach

Research Progress in Mechanical and Manufacturing Engineering

2022/8/14

Lee Woon Kiow
Lee Woon Kiow

H-Index: 5

Image-based oil palm leaves disease detection using convolutional neural network

Journal of Information and Communication Technology

2022/7/17

The machinability performance of RBD palm oil dielectric fluid on electrical discharge machining (EDM) of AISI D2 steel

International Journal of Integrated Engineering

2022/3/7

PREDICTION OF TOOL WEAR USING MACHINE VISION APPROACH.

Academic Journal of Manufacturing Engineering

2022/1/1

Optimization of tool path length on three-dimensional drilling application using ant colony algorithm

Journal of Physics: Conference Series

2021/12/1

Minimizing clear toolpath length using ant colony algorithm in pocket milling application

AIP Conference Proceedings

2021/5/3

The performance of modified Jatropha-based nanofluid during turning process

AIP Conference Proceedings

2021/5/3

Prediction of flank wear and surface roughness by recurrent neural network in turning process

Journal of Advanced Manufacturing Technology (JAMT)

2021/4/28

See List of Professors in Lee Woon Kiow University(Universiti Tun Hussein Onn Malaysia)