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Real-time action localization of manual assembly operations using deep learning and augmented inference state machines Selvaraj, Vignesh, Md Al-Amin, Xuyong Yu, Wenjin Tao, and Sangkee Min, Selvaraj, V., Al-Amin, M., Yu, X., Tao, W., & Min, S. (2024). Real-time action localization of manual assembly operations using deep learning and augmented inference state machines. Journal of Manufacturing Systems, 72, 504-518. (https://doi.org/10.1016/j.jmsy.2023.12.007)
Studying Crack Generation Mechanism in Single‐Crystal Sapphire During Ultra‐precision Machining by MD Simulation‐Based Slip/ Fracture Activation Model Suk Bum Kwon, Aditya Nagaraj, Dalei Xi, Yiyang Du, Dae Nyoung Kim, Woo Kyun Kim, and Sangkee Min, International Journal of Precision Engineering and Manufacturing, Pubilished online March 2, 2023 (https://doi.org/10.1007/s12541-023-00776-w)
Work Coordinate Setup in the Ultra‐precision Machine Tool Using Electrical Breakdown Sangjin Maeng and Sangkee Min, International Journal of Precision Engineering and Manufacturing, Published online March 9, 2023 (https://doi.org/10.1007/s12541-023-00779-7)
Real-Time Fault Identification System for a Retrofitted Ultra-Precision CNC Machine from Equipment’s Power Consumption Data: A Case Study of an Implementation Vignesh Selvaraj and Sangkee Min, International Journal of Precision Engineering and Manufacturing-Green Technology, Published online January 26, 2023 (https://doi.org/10.1007/s40684-022-00497-x)
Characteristics of force generation on C-, R-, A- and M- planes of single-crystal sapphire during ultra-precision machining Suk Bum Kwon and Sangkee Min, Manufacturing Letters, Vol. 33 Supplement, pp.349-356, September 16, 2022. (https://doi.org/10.1016/j.mfglet.2022.07.042)
State Identification of a 5-Axis Ultra-Precision CNC Machine Tool using Energy Consumption Data Assisted by Multi-Output Densely Connected 1D-CNN Model Zhicheng Xu, Vignesh Selvaraj, and Sangkee Min, Journal of Intelligent Manufacturing, Published online October 15, 2022. (https://doi.org/10.1007/s10845-022-02030-y)
Effects of Surface Coating Materials on Cutting Forces and Ductile-to-Brittle Transition in Orthogonal Cutting of Monocrystalline Sapphire Hae-Sung Yoon, Suk Bum Kwon, Ji-Hwan Kim, Sung-Hoon Ahn, and Sangkee Min, Journal of Manufacturing Processes, Published online October 15, 2022 (https://doi.org/10.1016/j.jmapro.2022.09.046)
Intelligent Operation Monitoring of an Ultra-Precision CNC Machine Tool Using Energy Data Vignesh Selvaraj, Zhicheng Xu, Sangkee Min, International Journal of Precision Engineering and Manufacturing-Green Technology, Published Online June 1, 2022. (https://doi.org/10.1007/s40684-022-00449-5)
Effect of Crystallography on Residual Stresses during Ultra-Precision Machining of Sapphire Aditya Nagaraj, Sangkee Min, CIRP Annals, Vol. 71, No.1, pp.101-104, April 26, 2022 (https://doi.org/10.1016/j.cirp.2022.04.004)
Study on Cutting Force and Tool Wear in Machining of Die Materials with Textured PCD Tools Under Ultrasonic Elliptical Vibration Sangjin Maeng, Hiroaki Ito, Yasuhiro Kakinuma, Sangkee Min, International Journal of Precision Engineering and Manufacturing-Green Technology, Published Online January 4, 2022 (https://doi.org/10.1007/s40684-022-00416-0)
Separation and Compensation of Geometric Errors of Rotary Axis in 5-Axis Ultra-Precision Machine Tool by Empirical Mode Decomposition Method Qidi Chen, Wei Li, Chao Jiang, Zhixiong Zhou, Sangkee Min, Journal of Manufacturing Processes, Vol. 68, Part A, pp. 1509-1523, 2021. (https://doi.org/10.1016/j.jmapro.2021.06.057)
AI-assisted Monitoring of Human-centered Assembly: A Comprehensive Review Vignesh Selvaraj, Sangkee Min, Int. J. Precis. Eng. Manuf.-Smart Tech.. 2023;1 (2): 201-218. Publication Date (Web): 2023 July 05 (Review) doi:https://doi.org/10.57062/ijpem-st.2023.0073 (https://doi.org/10.57062/ijpem-st.2023.0073)
Core-Multishell-Structured Digital-Gradient Cathode Materials with Enhanced Mechanical and Electrochemical Durability Youngho Shin, Sangjin Maeng, Youngmin Chung, Gregory K. Krumdick, and Sangkee Min, Small, Published online March 29, 2021. (https://doi.org/10.1002/smll.202100040)
Application of Deep Learning for Fault Detection in Industrial Cold Forging Andrew Glaeser, Vignesh Selvaraj, Sooyoung Lee, Yunseob Hwang, Kangsan Lee, Namjeong Lee, Seungchul Lee, and Sangkee Min, International Journal of Production Research, Vol. 59, No. 16, pp. 4826-4835, 2021. (https://doi.org/10.1080/00207543.2021.1891318)
Study of Material Removal Behavior on R-plane of Sapphire during Ultra-Precision Machining based on Modified Slip-Fracture Model Suk Bum Kwon, Aditya Nagaraj, Hae-Sung Yoon, Sangkee Min, Nanotechnology and Precision Engineering, Vol. 3, No. 3, pp. 141-155, 2020. (https://doi.org/10.1016/j.npe.2020.07.001)
Geometric- and Force-Induced Errors Compensation and Uncertainty Analysis of Rotary Axis in 5-Axis Ultra-Precision Machine Tool Qidi Chen, Sangjin Maeng, Wei Li, Zhixiong Zhou, and Sangkee Min, The International Journal of Advanced Manufacturing Technology, Vol. 109, pp. 841-856, 2020. (https://doi.org/10.1007/s00170-020-05670-7)
Effect of the Initial-Flaw on Crack Propagation in Two-Step Cutting of Monocrystalline Sapphire Hae-Sung Yoon, Suk Bum Kwon, Aditya Nagaraj, and Sangkee Min, Journal of Manufacturing Processes, Vol. 56, Part A, pp. 1211-1218, 2020. (https://doi.org/10.1016/j.jmapro.2020.06.017)
Simultaneous Geometric Error Identification of Rotary Axis and Tool Setting in an Ultra-Precision 5-axis Machine Tool using On-Machine Measurement Sangjin Maeng and Sangkee Min, Precision Engineering, Vol. 63, pp. 94-104, 2020. (https://doi.org/10.1016/j.precisioneng.2020.01.007)
An Analytical Model for Grinding Force Prediction in Ultra-Precision Machining of WC with PCD Micro Grinding Tool Sangjin Maeng, Pyeong An Lee, Bo Hyun Kim, and Sangkee Min, International Journal of Precision Engineering and Manufacturing-Green Technology, Vol. 7, pp. 1031-1045, 2020. (https://doi.org/10.1007/s40684-020-00199-2)
Enhanced Mechanical Strength and Electrochemical Performance of Core–Shell Structured High–Nickel Cathode Material Sangjin Maeng, Youngmin Chung, Sangkee Min, and Youngho Shin, Journal of Power Sources, Vol. 448, 227395, 2020. (https://doi.org/10.1016/j.jpowsour.2019.227395)
Power Consumption Assessment of Machine Tool Feed Drive Units Hae-Sung Yoon, Jang-Yeob Lee, Min-Soo Kim, Eunseob Kim, Yong-Jun Shin, Sung-Yong Kim, Sangkee Min, Sung-Hoon Ahn, International Journal of Precision Engineering and Manufacturing-Green Technology, Vol. 7, pp. 455-464, 2020. (https://doi.org/10.1007/s40684-019-00063-y)
Investigation of the Ductile Cutting Behavior of Monocrystalline Yttria-Stabilized Zirconia During Ultra-Precision Orthogonal Cutting Hae-Sung Yoon, Suk Bum Kwon, Aditya Nagaraj, Sangkee Min, International Journal of Precision Engineering and Manufacturing, Vol 20, No. 9, pp. 1475-1484, 2019. (https://doi.org/10.1007/s12541-019-00150-9)
Anisotropic Brittle-Ductile Transition of Monocrystalline Sapphire during Orthogonal Cutting and Nanoindentation Experiments Philipp Maas, Yuta Mizumoto, Yasuhiro Kakinuma, and Sangkee Min, Nanotechnology and Precision Engineering, Vol. 1, No. 3, pp.157-171, 2018. (https://doi.org/10.1016/j.npe.2018.09.005)
Energy Consumption Model for Additive-Subtractive Manufacturing Processes with Case Study Marcus Jackson, Arik Van Asten, Justin Morrow, Sangkee Min and Frank Pfefferkorn, International Journal of Precision Engineering and Manufacturing-Green Technology, Vol. 5, No. 4, pp. 459-466, 2018. (https://doi.org/10.1007/s40684-018-0049-y)
Empirical Power Consumption Model for Rotational Axes in Machine Tools Hae-Sung Yoon, Eshank Singh, and Sangkee Min, Journal of Cleaner Production, Vol. 196, pp. 370-381, 2018. (https://doi.org/10.1016/j.jclepro.2018.06.028)
Study of Stress Intensity Factor on the Anisotropic Machining Behavior of Single Crystal Sapphire Hae-Sung Yoon, Suk Bum Kwon, Aditya Nagaraj, Seola Lee, and Sangkee Min, Annals of the CIRP, Vol. 67, No. 1, pp. 125-128, 2018. (https://doi.org/10.1016/j.cirp.2018.04.114)
Machine Health Management in Smart Factory: A Review Gil-Yong Lee, Mincheol Kim, Ying-Jun Quan, Min-Sik Kim, Joon Young Thomas Kim, Hae-Sung Yoon, Sangkee Min, Dong-Hyeon Kim, Jeong-Wook Mun, Jin Woo Oh, In Gyu Choi, Chung-Soo Kim, Won-Shik Chu, Jinkyu Yang, Binayak Bhandari, Choon-Man Lee, Jeong-Beom Ihn, and Sung Hoon Ahn, Journal of Mechanical Science and Technology, Vol. 32, No.3, pp. 987-1009, 2018. (https://doi.org/10.1007/s12206-018-0201-1)
Application of Neural Network to Game Algorithm Ying Tian, Sangkee Min, and QingE Wu, Journal of Computer and Communications, Vol 6. pp.1-12, 2018. (https://10.4236/jcc.2018.62001)
CAD/CAM for Scalable Nanomanufacturing: A Network-Based System for Hybrid 3D Printing Hae-Sung Yoon, Hyun-Taek Lee, Ki-Hwan Jang, Chung-Soo Kim, Hyunseo Park, Dae-Wook Kim, Kunwoo Lee, Sangkee Min and Sung-Hoon Ahn, Microsystems & Nanoengineering, Vol. 3, 17072, 2017. (https://doi.org/10.1038/micronano.2017.72)
Investigation of The Cutting Mechanisms and the Anisotropic Ductility of Monocrystalline Sapphire Yuta Mizumoto, Philipp Maas, Yasuhiro Kakinuma, and Sangkee Min, Annals of the CIRP, Vol. 66, No. 1, pp. 89-92, 2017. (https://doi.org/10.1016/j.cirp.2017.04.018)
Machinability Study of Single-Crystal Sapphire in a Ball-End Milling Process Philipp Maas, Yuta Mizumoto, Yasuhiro Kakinuma, and Sangkee Min, International Journal of Precision Engineering and Manufacturing, Vol. 18, No. 1, pp. 109-114, 2017. (https://doi.org/10.1007/s12541-017-0013-8)
From Design for Manufacturing (DFM) to Manufacturing for Design (MFD) via Hybrid Manufacturing and Smart Factory: A Review and Perspective of Paradigm Shift Won-Shik Chu, Hugo Rodrigue, Doo-Man Chun, Young-Tae Cho, Seung Hwan Ko, Kyu-Jin Cho, Suk Won Cha, Sangkee Min, Sung Ho Jeong, Haedo Jeong, Choon-Man Lee, Chong Nam Chu, and Sung-Hoon Ahn, International Journal of Precision Engineering and Manufacturing-Green Technology, Vol. 3, No. 2, pp. 209-222, 2016. (https://doi.org/10.1007/s40684-016-0028-0)
A Simplified Machine-Tool Power-Consumption Measurement Procedure and Methodology for Estimating Total Energy Consumption Jang-Yeob Lee, Yong-Jun Shin, Min-Soo Kim, Eun-Seob Kim, Hae-Sung Yoon, Sung-Yong Kim, Yeo-Chan Yoon, Sung-Hoon Ahn and Sangkee Min, Journal of Manufacturing Science and Engineering, Transactions of the ASME, Vol. 138, No. 5, pp. 051004:1-9, 2015. (https://doi.org/10.1115/1.4031713)
Development of an Energy Consumption Monitoring Procedure for Machine Tools Thomas Behrendt, Andre Zein, and Sangkee Min, Annals of the CIRP, Vol. 61, No. 1, pp. 43-46, 2012. (https://doi.org/10.1016/j.cirp.2012.03.103)
Micro Cutting of Ferrous Materials using Diamond Tool under Ionized Coolant with Carbon Particles Akihiro Inada, Sangkee Min, and Hitoshi Ohmori, Annals of the CIRP, Vol. 60, No. 1, pp. 97-100, 2011. (https://doi.org/10.1016/j.cirp.2011.03.089)
Acoustic Emission Based Tool Contact Detection for Ultra-Precision Machining Sangkee Min, Joern Lidde, Niels Raue, and David Dornfeld, Annals of the CIRP, Vol. 60, No. 1, pp. 141-144, 2011. (https://doi.org/10.1016/j.cirp.2011.03.079)
Investigation of the Effects of an Electrolytic Coolant with a Nano Carbon Additive in Diamond Micro Cutting on Ferrous Materials Akihiro Inada, Hitoshi Ohmori, Sangkee Min, and David Dornfeld, Journal of Advanced Mechanical Design, Systems, and Manufacturing, Vol. 4, No. 5, pp. 1076-1083, 2010. (https://doi.org/10.1299/jamdsm.4.1076)
Burrs – Analysis, Control, and Removal Jan C. Aurich, David A. Dornfeld, Pedro J. Arrazola, Vikki Franke, Lukas Leitz, and Sangkee Min, Annals of the CIRP, Vol. 58, No. 2, pp. 519-542, 2009. (https://doi.org/10.1016/j.cirp.2009.09.004)
A Study on Initial Contact Detection for Precision Micro-mold and Surface Generation of Vertical Side Walls in Micromachining Sangkee Min, Hubertus Sangermann, Christian Mertens, and David Dornfeld, Annals of the CIRP, Vol. 57, No. 1, pp. 109-112, 2008. (https://doi.org/10.1016/j.cirp.2008.03.068)
Surface Finishes from Turning and Facing with Round Nosed Tools Tom H.C. Childs, Katsuhiko Sekiya, Ryo Tezuka, Yasuo Yamane, David Dornfeld, Daeeun Lee, Sangkee Min, and Paul K. Wright, Annals of the CIRP, Vol. 57, No. 1, pp. 89-92, 2008. (https://doi.org/10.1016/j.cirp.2008.03.121)
The Influence of Cutting Edge Sharpness on Surface Finish in Facing with Round Nosed Cutting Tools Tom H.C. Childs, David Dornfeld, Daeeun Lee, Sangkee Min, Katsuhiko Sekiya, Ryo Tezuka, and Yasuo Yamane, CIRP Journal of Manufacturing Science and Technology, Vol. 1, No. 2, pp. 70-75, 2008. (https://doi.org/10.1016/j.cirpj.2008.09.001)
Recent Advances in Mechanical Micromachining David Dornfeld, Sangkee Min, and Yoshimi Takeuchi, Annals of the CIRP, Vol. 55, No. 2, pp.745-768, 2006. (https://doi.org/10.1016/j.cirp.2006.10.006)
Variation in Machinability of Single Crystal Materials in Micromachining Sangkee Min, David Dornfeld, Ichiro Inasaki, Hitoshi Ohmori, Daeeun Lee, Manuel Deichmueller, Tomoyuki Yasuda, and Kensuke Niwa, Annals of the CIRP, Vol. 55, No. 1, pp. 103-106, 2006. (https://doi.org/10.1016/S0007-8506(07)60376-X)
Surface and Edge Quality Variation in Precision Machining of Single Crystal and Polycrystalline Materials Sangkee Min, Daeeun Lee, Arnaud de Grave, Carlos M. de Oliveira Valente, J. Lin, and David A. Dornfeld, Proceeding of the Institution of Mechanical Engineers, Part B: Journal of Engineering Manufacture, Vol. 220, No. 4, pp. 479-487, 2006. (https://doi.org/10.1243/095440506X77599)
Investigation of Adsorption Behaviour of Lubricants in Near-Dry Machining Sangkee Min, Ichiro Inasaki, Satoshi Fujimura, Toshiaki Wakabayashi, and Satoshi Suda, Proceeding of the Institution of Mechanical Engineers, Part B: Journal of Engineering Manufacture, Vol. 219, No. 9, pp. 665-671, 2005. (https://doi.org/10.1243/095440505X32544)
A Study on Tribology in Minimal Quantity Lubrication Cutting Sangkee Min, Ichiro Inasaki, Satoshi Fujimura, Takashi Wada, Satoshi Suda, and Toshiaki Wakabayashi, Annals of the CIRP, Vol. 54, No. 1, pp. 105-108, 2005. (https://doi.org/10.1016/S0007-8506(07)60060-2)
Influence of Exit Surface Angle on Drilling Burr Formation Sangkee Min, David A. Dornfeld, and Yohichi Nakao, Journal of Manufacturing Science and Engineering, Transactions of the ASME, Vol. 125, No. 4, pp. 637-644, 2003. (https://doi.org/10.1115/1.1596573)
Finite Element Modeling of Burr Formation in Metal Cutting Sangkee Min, David A. Dornfeld, Jinsoo Kim, and Borlin Shyu, International Journal of Machining Science and Technology, Vol. 5, No. 3, pp. 307-322, 2001. (https://doi.org/10.1081/MST-100108617)
Development of a Drilling Burr Control Chart for Low Alloy Steel, AISI 4118 Sangkee Min, Jinsoo Kim, and David A. Dornfeld, Journal of Materials Processing Technology, Vol. 113, No. 1-3, pp. 4-9, 2001. (https://doi.org/10.1016/S0924-0136(01)00589-1)
Optimization and Control of Drilling Burr Formation of AISI 304L and AISI 4118 Based on Drilling Burr Control Charts Jinsoo Kim, Sangkee Min, David A. Dornfeld, International Journal of Machine Tools & Manufacture, Vol. 41, No. 7, pp. 923-936, 2001. (https://doi.org/10.1016/S0890-6955(00)00131-0)
Intelligent assembly operations monitoring with the ability to detect non-value-added activities as out-of-distribution (ood) instances. Selvaraj, Vignesh, Md Al-Amin, Wenjin Tao, and Sangkee Min, Selvaraj, V., Al-Amin, M., Tao, W., & Min, S. (2023). Intelligent assembly operations monitoring with the ability to detect non-value-added activities as out-of-distribution (OOD) instances. CIRP Annals. (https://doi.org/10.1016/j.cirp.2023.04.027)
Intelligent G-code-based power prediction of ultra-precision CNC machine tools through 1DCNN-LSTM-Attention model Xu, Zhicheng, Vignesh Selvaraj, and Sangkee Min, Xu, Z., Selvaraj, V., & Min, S. (2024). Intelligent G-code-based power prediction of ultra-precision CNC machine tools through 1DCNN-LSTM-Attention model. Journal of Intelligent Manufacturing, 1-24. ()