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Jung, Im Doo (정임두)

Department
Department of Mechanical Engineering(기계공학과)
Website
http://imm.unist.ac.kr
Lab
Intelligent Manufacturing and Materials Lab. (지능형 생산 및 소재 연구실 )
Research Keywords
적층제조, 디지털 트윈, 자가발전 IoT, 인공지능, AI, Additive Manufacturing, Digital twin, IoT
Research Interests
Intelligent Manufacturing and Materials (IMM) Lab aims to develop material, components and system with artificial intelligence and 3d printing technology to realize digitalization of current manufacturing industries. We develop self-cognitive metal via additive manufacturing to enable big data generation from metal components and apply neural network technology for ultimate prediction of parts deformation, temperature, vibration, fatigue or fracture. In addition, we aims to develop nano materials and components to develop for 3d printing of battery, IoT sensors or semiconductor components which can lead to revolution of previous stacking based manufacturing of electric components. With the comprehensive understanding of A.I., manufacturing and materials, integrated sense of research is raised in this 4th industrial revolutionary age.    
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Issue DateTitleAuthor(s)TypeViewAltmetrics
2020-02Influence of physical and microstructural features on soft magnetic properties of injection molded Fe-Si-P alloys at low frequenciesShin, Da Seul; Jung, Im Doo; Oh, Joo Won, et alARTICLE324 Influence of physical and microstructural features on soft magnetic properties of injection molded Fe-Si-P alloys at low frequencies
2020-01Densification and Magnetic Properties of Injection Molded Gas- and Water-Atomized Fe-Si Alloys and Effect of Fe-10.2 wt% P AdditionShin, Da Seul; Oh, Joo Won; Jung, Im Doo, et alARTICLE292 Densification and Magnetic Properties of Injection Molded Gas- and Water-Atomized Fe-Si Alloys and Effect of Fe-10.2 wt% P Addition
2019-09Microstructural effects on the tensile and fracture behavior of selective laser melted H13 tool steel under varying conditionsLee, Jungsub; Choe, Jungho; Park, Junhyeok, et alARTICLE295 Microstructural effects on the tensile and fracture behavior of selective laser melted H13 tool steel under varying conditions
2019-09Correlation Study Between Material Parameters and Mechanical Properties of Iron-Carbon Compacts Using Sensitivity Analysis and Regression ModelShin, Da Seul; Kim, Suk Hyun; Oh, Joo Won, et alARTICLE267 Correlation Study Between Material Parameters and Mechanical Properties of Iron-Carbon Compacts Using Sensitivity Analysis and Regression Model
2019DUAL SPEED LASER RE-MELTING FOR HIGH DENSIFICATION IN H13 TOOL STEEL METAL 3D PRINTINGJung, Im Doo; Choe, Jungho; Yun, Jaecheol, et alARTICLE299 DUAL SPEED LASER RE-MELTING FOR HIGH DENSIFICATION IN H13 TOOL STEEL METAL 3D PRINTING
2018-11적층 제조된 H13 공구강의 미세조직과 기계적 특성간의 상관관계안우진; 박준혁; 이정섭, et alARTICLE230
2018-08Insights into morphological evolution and cycling behaviour of lithium metal anode under mechanical pressureYin, Xuesong; Tang, Wei; Jung, Im Doo, et alARTICLE334 Insights into morphological evolution and cycling behaviour of lithium metal anode under mechanical pressure
2018-03Modeling of magnetic particle orientation in magnetic powder injection moldingJung, Im Doo; Kang, Tae Gon; Shin, Da Seul, et alARTICLE252 Modeling of magnetic particle orientation in magnetic powder injection molding
2018-01Development of powder injection molding process for sintered soft magnet with the addition of Fe-17 at.% P powderShin, Da Seul; Jung, Im Doo; Kim, Hwi Jun, et alARTICLE274 Development of powder injection molding process for sintered soft magnet with the addition of Fe-17 at.% P powder
2017-11Material Characterization of Single Crystalline Cu Subjected to High Strain Rates and High Temperatures for Multiscale SimulationSeong, Yujin; Kim, Youngkyu; Jung, Im Doo, et alARTICLE282 Material Characterization of Single Crystalline Cu Subjected to High Strain Rates and High Temperatures for Multiscale Simulation
2016-11Two-Phase Master Sintering Curve for 17-4 PH Stainless SteelJung, Im Doo; Ha, Sangyul; Park, Seong Jin, et alARTICLE154 Two-Phase Master Sintering Curve for 17-4 PH Stainless Steel
2016-04A comprehensive viscosity model for micro magnetic particle dispersed in silicone oilJung, Im Doo; Kim, Moobum; Park, Seong JinARTICLE270 A comprehensive viscosity model for micro magnetic particle dispersed in silicone oil
2015-04Magneto-rheological model for computational analysis of magnetic micro powder injection moldingJung, Im Doo; Park, Jang Min; Kang, Tae Gon, et alARTICLE226 Magneto-rheological model for computational analysis of magnetic micro powder injection molding
2015-02Simulation and Experiment of Injection Molding Process for Superalloy FeedstockJung, Im Doo; Kim, Youngmoo; Park, Seong JinARTICLE191 Simulation and Experiment of Injection Molding Process for Superalloy Feedstock
2015CHARACTERIZATION AND SIMULATION OF Ni-BASED SUPERALLOY POWDER FEEDSTOCK FOR POWDER INJECTION MOLDINGJung, Im Doo; Kim, Youngmoo; Park, Seong JinARTICLE219
2014-08Spark Plasma Sintering Behaviors of M-type Barium Hexaferrite Nano PowdersJung, Im Doo; Kim, Youngmoo; Hong, Yang-Ki, et alARTICLE181 Spark Plasma Sintering Behaviors of M-type Barium Hexaferrite Nano Powders
2014-08Rheological modeling of strontium ferrite feedstock for magnetic powder injection moldingJung, Im Doo; Kim, Sung Hun; Park, Seong Jin, et alARTICLE224 Rheological modeling of strontium ferrite feedstock for magnetic powder injection molding
2014-08Particle size effect on the magneto-rheological behavior of powder injection molding feedstockJung, Im Doo; Park, Jang Min; Yu, Ji-Hun, et alARTICLE212 Particle size effect on the magneto-rheological behavior of powder injection molding feedstock
2013-11Rheological and sintering behaviors of nanostructured molybdenum powderKim, Youngmoo; Lee, Seong; Noh, Joon-Woong, et alARTICLE169 Rheological and sintering behaviors of nanostructured molybdenum powder

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