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A multi-domain mixture density network for tool wear prediction under multiple machining conditions File File

Kim, Gyeongho , Yang, Sang Min , Kim, Sinwon , Kim, Do Young , Choi, Jae Gyeong , Park, Hyung Wook , Lim, Sunghoon

Article Issue Date2023-12 View68

Accurate monitoring of machining process of Ti-6Al-4V using deep multi-task learning

Park, Soyeon , Yang, Sang Min , Kim, Gyeongho , Kim, Dong Min , Lee, Hoon Hee , Choi, Jae Gyeong , Jeon, Sujin , Lim, Sunghoon , Park, Hyung Wook

Conference Paper Issue Date2024-11-28 View16

Bayesian-based uncertainty-aware tool-wear prediction model in end-milling process of titanium alloy File File

Kim, Gyeongho , Yang, Sang Min , Kim, Dong Min , Kim, Sinwon , Choi, Jae Gyeong , Ku, Minjoo , Lim, Sunghoon , Park, Hyung Wook

Article Issue Date2023-11 View105

Continual learning-based remaining useful life prediction of machining tools under varying operating conditions

Kim, Gyeongho , Kang, Yun Seok , Yang, Sang Min , Choi, Jae Gyeong , Hwang, Gahyun , Kim, Juhyun , Lim, Chansung , Park, Hyung Wook , Lim, Sunghoon

Conference Paper Issue Date2024-11-01 View16

Continual learning-based remaining useful life prediction of machining tools under varying operating conditions

Kim, Gyeongho , Kang, Yun Seok , Yang, Sang Min , Choi, Jae Gyeong , Hwang, Gahyun , Park, Hyung Wook , Lim, Sunghoon

Conference Paper Issue Date2024-10-20 View18

Deep Learning-based Tool Wear Prediction under Multiple Machining Conditions

Kim, Gyeongho , Yang, Sang Min , Kim, Sin Won , Kim, Do Young , Choi, Jae Gyeong , Park, Hyung Wook , Lim, Sunghoon

Conference Paper Issue Date2023-07-05 View46

Developing a data-driven system for grinding process parameter optimization using machine learning and metaheuristic algorithms File

Kim, Gyeongho , Park, Soyeon , Choi, Jae Gyeong , Yang, Sang Min , Park, Hyung Wook , Lim, Sunghoon

Article Issue Date2024-07 View61

Developing a deep learning-based uncertainty-aware tool wear prediction method using smartphone sensors for the turning process of Ti-6Al-4V File

Kim, Gyeongho , Yang, Sang Min , Kim, Dong Min , Choi, Jae Gyeong , Lim, Sunghoon , Park, Hyung Wook

Article Issue Date2024-10 View1089

Experimental investigation of tool wear and surface integrity using a large pulsed electron beam (LPEB) irradiated end-mill cutting tool for Ti-6Al-4 V File

Yang, Sang Min , Kang, Yun Seok , Kim, Do Young , Park, Hyung Wook

Article Issue Date2025-04 View7

Fisher-informed continual learning for remaining useful life prediction of machining tools under varying operating conditions File

Kim, Gyeongho , Kang, Yun Seok , Yang, Sang Min , Choi, Jae Gyeong , Hwang, Gahyun , Park, Hyung Wook , Lim, Sunghoon

Article Issue Date2025-01 View94

Improvement of tool life via unique surface modification of a tungsten carbide tool using a large pulsed electron beam in Ti-6Al-4V machining File

Yang, Sang Min , Choe, Joon-Hyeok , Kim, Jisoo , Park, Hyung Wook , Kim, Do Young

Article Issue Date2022-11 View56

Investigation of wear behavior for large pulsed electron beam irradiated cutting tools under the turning process of Ti-6Al-4V File

Yang, Sang Min , Kim, Do Young , Park, Hyung Wook

Article Issue Date2025-04 View4

Tool wear evolution and chip formation of the Ti-6Al-4V end milling under cryogenic cooling and minimum quantity lubrication conditions File

Joo, Jihun , Kim, Jisoo , Yang, Sang Min , Park, Hyung Wook , Kim, Do Young

Article Issue Date2024-01 View64

Tool Wear Prediction in the End Milling Process of Ti-6Al-4V using Bayesian Learning

Kim, Gyeongho , Yang, Sang Min , Kim, Sinwon , Kim, Dong Min , Lim, Sunghoon , Park, Hyung Wook

Conference Paper Issue Date2022-12-18 View35

다중 가공 조건에서의 공구 잔여 수명 예측을 위한 연속학습 방법론 개발

Kim, Gyeongho , Kang, Yunseok , Yang, Sang Min , Choi, Jae Gyeong , Hwang, Gahyun , Kim, Juhyun , Cheon, Ji Yeon , Lim, Chansung , Park, Hyung Wook , Lim, Sunghoon

Conference Paper Issue Date2024-07-19 View34

불확실성 기반 멀티 태스크 학습을 활용한 공정 모니터링

Park, Soyeon , Yang, Sang Min , Kim, Gyeongho , Cheon, Ji Yeon , Lim, Sunghoon

Conference Paper Issue Date2024-10-24 View19

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