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Hyungyil Lee

professor

Sogang University College of Engineering

South Korea

Research Interests

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Professors in South Korea Professors in Materials Science Materials Science professors in South Korea

About

Hyungyil Lee is a professor at Sogang University College of Engineering in South Korea. His research areas include materials science, specifically focusing on mechanical properties, fatigue life prediction, and sustainable energy storage solutions. Recent articles authored by Professor Lee highlight innovations in indentation techniques, machine learning applications for material characterization, and the use of waste materials in energy storage systems.

Articles (19)

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2024

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2024

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2024

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2024

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2024

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2024

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2023

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2023

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2023

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2023

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2023

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2023

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2023

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2023

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2022

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2022

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2021

Collaborators (2)

Karuppasamy Pandian Marimuthu

Research Professor

Sogang University

SOUTH KOREA

View details

Kathalingam Adaikalam

Dongguk University

SOUTH KOREA

View details

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Hyungyil Lee

Research Interests

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About

Articles (19)

Investigation of in-plane visco-deformation in PMMA indentation via TLV model calibrated with tensile specimens

Energy Storage Application of CaO/Graphite Nanocomposite Powder Obtained from Waste Eggshells and Used Lithium-Ion Batteries as a Sustainable Development Approach

A dual indentation method for evaluating intrinsic material properties of metals under residual stress

Evaluation of plastic properties and equi-biaxial residual stress via indentation and ANN

Fatigue Life Prediction for Injection-Molded Carbon Fiber-Reinforced Polyamide-6 Considering Anisotropy and Temperature Effects

Mechanical property evaluation of thin film metallic glasses via molecular dynamics and finite element analyses

Strength and manufacturability enhancement of a composite automotive component via an integrated finite element/artificial neural network multi-objective optimization approach

Measuring Microscale In-Plane Indentation Displacement Field for Material Characterization

Machine learning based dual flat-spherical indentation approach for rough metallic surfaces

Deep learning based nanoindentation method for evaluating mechanical properties of polymers

Inner surface peening for long and narrow helical pipe using acoustic cavitation

Manufacturability-constrained optimization for enhancing quality and suitability of injection-molded short fiber-reinforced plastic/metal hybrid automotive structures

A Methodology to Predict the Fatigue Life under Multi-Axial Loading of Carbon Fiber-Reinforced Polymer Composites Considering Anisotropic Mechanical Behavior

Multilayer thin film metallic glasses under nanoscratch: Deformation and failure characteristics

Fiber Orientation and Strain Rate-Dependent Tensile and Compressive Behavior of Injection Molded Polyamide-6 Reinforced with 20% Short Carbon Fiber

Physics-informed neural networks for spherical indentation problems

Evaluation of thin film material properties using a deep nanoindentation and ANN

Effect of modulation ratio on the mechanical behavior of multilayer-thin-film metallic glasses

Preliminary design of an injection-molded recycled-carbon fiber–reinforced plastic/metal hybrid automotive structure via combined optimization techniques

Collaborators (2)

Karuppasamy Pandian Marimuthu

Kathalingam Adaikalam

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