Da Seul Shin

Dr. Da Seul Shin

orcid

Research Focus & Metrics

Academic Career Length

9Years (2018-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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30 April 2024 in Materials Horizons
Verified
Journal Article
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MCMin Woo Cho
Min Woo Cho
KKKeon Ko
Keon Ko
MMMajid Mohammadhosseinzadeh
Majid Mohammadhosseinzadeh
JKJi Hoon Kim
Ji Hoon Kim
DPDong Yong Park
Dong Yong Park
SPSang Min Park
Sang Min Park
Controlling stress and deformation induced by thermo-mechanical stimulation in high-precision mechanical systems can be achieved by mechanical metamaterials (MM) exhibiting negative thermal expansion (NTE) and negative Poisson's ratio (NPR). However, the inverse design of MM exhibiting a wide range of arbitrary target NTEs and NPRs is a challenging task due to the low design flexibility of analytical methods and parametric studies based on numerical simulation. In this study, we propose Bézier curve-based programmable chiral mechanical metamaterials (BPCMs) and a deep autoencoder-based inverse design model (DAIM) for the inverse design of BPCMs. Through iterative transfer learning with data augmentation, DAIM can generate BPCMs with a curved rib shape inaccessible with the Bézier curve, which improves the inverse design performance of the DAIM in the data sparse domain. This approach decreases the mean absolute error of NTE and NPR between the inverse design target and the numerical simulation results of inverse designed BPCMs on the data-sparse domain by 79.25% and 83.33% on average, respectively. A 3D-printed BPCM is validated experimentally and exhibits good coincidence with the target NTE and NPR. Our proposed BPCM and the corresponding inverse design framework enable the inverse design of BPCMs with NTE in the range of −1100 to 0 ppm K−1 and NPR in the range of −0.6 to −0.1. Furthermore, programmable thermal deformation modes with a fixed Poisson's ratio are realized by combining various inverse designed BPCM unit cells. BPCMs and the DAIM for their inverse design are expected to improve the mechanical robustness of high-precision mechanical systems through tunable modulation of thermo-mechanical stimulation.

22 December 2023 in Polymer Testing
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Journal Article
Open access
JPJin Wook Park
Jin Wook Park
JKJong Hyun Kim
Jong Hyun Kim
KLKwang Seok Lee
Kwang Seok Lee
SPSang Min Park
Sang Min Park
DSDa Seul Shin
Da Seul Shin

1 February 2018 in Metal Powder Report
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Journal Article
Closed access
DSDa Seul Shin
Da Seul Shin
IJIm Doo Jung
Im Doo Jung
HKHwi Jun Kim
Hwi Jun Kim
SPSeong Jin Park
Seong Jin Park
Soft magnetic powder injection molding is a net-shape production technology to fabricate sintered soft magnets. Powder injection molding technology for soft magnetic materials can be expected to develop a new type of electromagnetic components with the miniaturization and complexity design. In this work, 8 wt.% of iron-phosphorus powders (Fe-17 at.% P) were added to carbonyl iron powders to improve the magnetic performances with PIM process. Soft magnetic feedstocks were fabricated by optimized PIM process using a wax-based binder system. The critical solids loading of feedstocks were measured to determine the optimal solids loading, and injection molding process was conducted for the PIMed soft magnetic parts. The effect of Fe-17 at.% P addition to carbonyl iron powder was investigated on the sintering behaviors and magnetic properties. It was observed that sample with Fe-17 at.% P addition had optimum relative density (99.8%) and magnetic polarization (28,299 Gauss) at sintering temperature 1400°C in a hydrogen atmosphere.

6 March 2025 in Journal of Materials Research and Technology
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Journal Article
Open access
MKMin Jik Kim
Min Jik Kim
SYSeon Yeong Yang
Seon Yeong Yang
WYWoo Seok Yang
Woo Seok Yang
SOSehyeok Oh
Sehyeok Oh
SPSang Min Park
Sang Min Park
DSDa Seul Shin
Da Seul Shin

14 January 2025 in Journal of Alloys and Compounds
Verified
Journal Article
Closed access
WYWoo Seok Yang
Woo Seok Yang
JKJeong Hun Kim
Jeong Hun Kim
MKMin Jik Kim
Min Jik Kim
SYSeon Yeong Yang
Seon Yeong Yang
ALA.-Young Lee
A.-Young Lee
DSDa Seul Shin
Da Seul Shin

25 October 2024 in Polymers
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Journal Article
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DSDa Seul Shin
Da Seul Shin
JPJin Wook Park
Jin Wook Park
CGChang Woo Gal
Chang Woo Gal
JKJina Kim
Jina Kim
WYWoo Seok Yang
Woo Seok Yang
JKJong Hyun Kim
Jong Hyun Kim
Magnetorheological elastomers (MREs) are in demand in the field of high-tech microindustries and nanoindustries such as biomedical applications and soft robotics due to their exquisite magneto-sensitive response. Among various MRE applications, programmable actuators are emerging as promising soft robots because of their combined advantages of excellent flexibility and precise controllability in a magnetic system. Here, we present the development of magnetically programmable soft magnetic microarray actuators through field-induced injection molding using MREs, which consist of styrene-ethylene/butylene styrene (SEBS) elastomer and carbonyl iron powder (CIP). The ratio of the CIP/SEBS matrix was designed to maximize the CIP fraction based on a critical solids loading. Further, as part of the design of the magnetization distribution in micropillar arrays, the magnetorheological response of the molten composites was analyzed using the static and dynamic viscosity results for both the on and off magnetic states, which reflected the particle dipole interaction and subsequent particle alignment during the field-induced injection molding process. To develop a high-aspect-ratio soft magnetic microarray, X-ray lithography was applied to prepare the sacrificial molds with a height-to-width ratio of 10. The alignment of the CIP was designed to achieve a parallel magnetic direction along the micropillar columns, and consequently, the micropillar arrays successfully achieved the uniform and large bending actuation of up to approximately 81° with an applied magnetic field. This study suggests that the injection molding process offers a promising manufacturing approach to build a programmable soft magnetic microarray actuator.