Namhun Kim
UNIST 기계공학과 · 공학
김남훈 교수의 연구실은 적층 제조(Additive Manufacturing) 기반의 스마트 소재 및 구조물 설계, 특히 4D 프린팅과 다상태 기계적 거동을 갖는 재료 시스템에 중점을 두고 있습니다. 나노미세 구조 제어, 열적 응력 분석, 그리고 고성능 소재(예: 형태 기억 폴리머, MOF 결정체)의 대량 합성 기술 개발을 통해 제조 품질 향상과 설계 자유도 확대를 추구합니다. 또한, 다상분류 및 복잡한 혼합 모델 생산 라인의 복잡도 측정 기반의 스마트 제조 시스템 최적화 기법도 함께 연구하고 있습니다.
표시된 성과는 수집된 데이터 기준으로 산출되며, 일부 차이가 있을 수 있습니다.
Additive manufacturing (AM) became widespread through several organizations due to its benefits in providing design freedom, inventory improvement, cost reduction, and supply chain design. Process planning in AM involving various AM technologies is also complicated and scarce. Thus, this study proposed a decision-support tool that integrates production and distribution planning in AM involving material extrusion (ME), stereolithography (SLA), and selective laser sintering (SLS). A multi-objectiv
Abstract 3D printing of smart materials, called “four‐dimensional” (4D) printing, adds active, responsive functions to 3D‐printed structures. Shape memory polymers (SMPs) can be employed as an active material in 4D printing, and this could be useful for a wide range of potential applications. New design for 4D printing is presented here by introducing SMPs into rotational multistable structures. Two different digital SMPs are employed to enable large‐angle, thermal actuation in a controlled mann
In this paper, improved direct torque control(DTC) of five-phase induction motor(IM) is proposed. Due to the additional degrees of freedom, five-phase IM drives present unique characteristics. One of them is the ability of enhancing the torque producing capability of the motor. Also five-phase motor drives possess many others advantage compared with the traditional three-phase motor drives. Such as, reducing the amplitude and increasing of frequency of torque pulsation, reducing amplitude of cur
