Chang-Whan LEE

Assistant Professor

Seoul National University

South Korea

Research Interests

Explore related searches

Professors in South Korea

Contact this professor

ORCID

Google Scholar

About

Chang-Whan Lee is an Assistant Professor at Seoul National University of Science and Technology in South Korea. His research focuses on areas such as sensor fusion for leak detection, acoustic emission analysis in materials, and simulation models for fuel cells and forming processes. His recent articles explore machine learning applications, deformation behaviors of magnesium alloys, and innovative methods for defect detection in manufacturing.

Chang-Whan LEE

Research Interests

Explore related searches

Contact this professor

About

Articles (16)

Analysis and Clustering of Acoustic Emission Signals in the Tensile Deformation of AZ31B

Analysis of acoustic emission signals during bending deformation of magnesium alloy sheet

Parallel multi-layer sensor fusion for pipe leak detection using multi-sensors and machine learning

Velocity measurements in single and parallel channels using concentration changes in aqueous methylene blue solution

Simulation of Molten Carbonate Fuel Cell with Dry Reforming of Methane (DR-MCFC)

Defect Detection in the Forging Process of Wheel Nut Products through Object Detection,객체 탐지를 통한 휠 너트 제품의 단조 공정에서 불량 검출

Supervised Machine Learning Approach for Modeling Hot Deformation Behavior of Medium Carbon Steel

Correction to: Investigation of forming parameters influence on pillow defect in a new vacuum-assisted incremental sheet forming process

A simulation model for ruthenium-catalyzed dry reforming of methane (DRM) at different temperatures and gas compositions

Investigation of forming parameters influence on pillow defect in a new vacuum-assisted incremental sheet forming process

Hybrid Artificial Neural Network-Based Models to Investigate Deformation Behavior of AZ31B Magnesium Alloy at Warm Tensile Deformation

Warm Deformation Behavior and Flow Stress Modeling of AZ31B Magnesium Alloy under Tensile Deformation

Effects of the material properties and thickness on the minimum formable radius in the subtle feature forming process

Simulation of Internal Manifold-Type Molten Carbonate Fuel Cells (MCFCs) with Different Operating Conditions

A Study on the Prediction Model of the Radius of Curvature of the Subtle Feature of the Automotive Parts for Different Forming Conditions

Analysis of Acoustic Emission (AE) Signal Characteristics of the Magnesium Alloy Sheet (AZ31B) in the Tensile Deformation

Collaborators (2)

Mohanraj Murugesan

Wan-Jin Chung

How do I reach out?

Meet Kite AI