scispace - formally typeset
G

Gi-Jeong Seo

Researcher at Tennessee Technological University

Publications -  15
Citations -  215

Gi-Jeong Seo is an academic researcher from Tennessee Technological University. The author has contributed to research in topics: Microstructure & Welding. The author has an hindex of 4, co-authored 10 publications receiving 45 citations.

Papers
More filters
Journal ArticleDOI

Microstructures and mechanical behavior of the bimetallic additively-manufactured structure (BAMS) of austenitic stainless steel and Inconel 625

TL;DR: In this article, the authors fabricate a BAMS by sequentially depositing the austenitic stainless-steel and Inconel625 using a gas-metal-arc-welding (GMAW)-based wire-and-arc additive manufacturing (WAAM) system.
Journal ArticleDOI

Phase stability and mechanical properties of wire + arc additively manufactured H13 tool steel at elevated temperatures

TL;DR: In this article, the AISI H13 tool steel, a popular die-casting tool metal, is manufactured by cold metal transfer (CMT)-based additive manufacturing (WAAM) and is then comprehensively analyzed for its microstructural and mechanical properties.
Journal ArticleDOI

Heat treatment effects on Inconel 625 components fabricated by wire + arc additively manufacturing (WAAM)—part 2: mechanical properties

TL;DR: In this article, the authors investigated the mechanical properties of the wire + arc additively manufactured Inconel 625 thin wall and found that the annealing procedure improved the ultimate tensile strength by 5%.
Journal ArticleDOI

Real-time anomaly detection using convolutional neural network in wire arc additive manufacturing: molybdenum material

TL;DR: In this article , a real-time anomaly detection method that uses a convolutional neural network (CNN) in wire arc additive manufacturing (WAAM) is presented, which enables creation of CNN-based models that detect abnormalities by learning from the melt pool image data, which are pre-processed to increase learning performance.