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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
2020-11An electrochromic alarm system for smart contact lensesKim, Moobum; Jung, Im Doo; Kim, Yeongae, et alARTICLE35 An electrochromic alarm system for smart contact lenses
2020-11Correlation Between Microstructure and Tensile Properties of STS 316L and Inconel 718 Fabricated by Selective Laser Melting (SLM)Lee, Jungsub; Lee, Minshik; Jung, Im Doo, et alARTICLE19 Correlation Between Microstructure and Tensile Properties of STS 316L and Inconel 718 Fabricated by Selective Laser Melting (SLM)
2020-11Microstructural Evolution of Al-Zn-Mg-Cu Alloys in Accordance with Homogenization TimeAn, Woojin; Heo, Jaewon; Jang, Dongchan, et alARTICLE27 Microstructural Evolution of Al-Zn-Mg-Cu Alloys in Accordance with Homogenization Time
2020-06Artificial intelligence for the prediction of tensile properties by using microstructural parameters in high strength steelsJung, Im Doo; Shin, Da Seul; Kim, Doohee, et alARTICLE24 Artificial intelligence for the prediction of tensile properties by using microstructural parameters in high strength steels
2020-05Embedding sensors using selective laser melting for self-cognitive metal partsJung, Im Doo; Lee, Min Sik; Lee, Jungsub, et alARTICLE21 Embedding sensors using selective laser melting for self-cognitive metal parts
2020-04센서 융합형 지능형 부품 제조를 위한 적층 제조 기술 연구정임두; 이민식; 우영진, et alARTICLE23 센서 융합형 지능형 부품 제조를 위한 적층 제조 기술 연구
2020-03Selective Ion Sweeping on Prussian Blue Analogue Nanoparticles and Activated Carbon for Electrochemical Kinetic Energy HarvestingJung, Im Doo; Kim, Moobum; Gao, Caitian, et alARTICLE78 Selective Ion Sweeping on Prussian Blue Analogue Nanoparticles and Activated Carbon for Electrochemical Kinetic Energy Harvesting
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 alARTICLE19 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 alARTICLE17 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 alARTICLE22 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 alARTICLE16 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 alARTICLE17 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 alARTICLE16
2018-08Insights into morphological evolution and cycling behaviour of lithium metal anode under mechanical pressureYin, Xuesong; Tang, Wei; Jung, Im Doo, et alARTICLE19 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 alARTICLE15 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 alARTICLE25 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 alARTICLE13 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 alARTICLE19 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 JinARTICLE17 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 alARTICLE24 Magneto-rheological model for computational analysis of magnetic micro powder injection molding

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