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"Structure"

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A Study on the Performance Enhancement of Solid Oxide Fuel Cells by Controlling the Infiltration Molar Concentration of PNO
Miju Ku, Jisung Yoon, Young-Beom Kim
J. Korean Soc. Precis. Eng. 2025;42(11):943-947.
Published online November 1, 2025
DOI: https://doi.org/10.7736/JKSPE.025.076

In this study, we employed an infiltration technique to create a nanostructured functional layer, enhancing the electrochemically active area in solid oxide fuel cells (SOFCs). We infiltrated Pr2NiO4+δ (PNO) into a porous GDC electrolyte, resulting in a nanostructured catalytic layer. We characterized its microstructure and cross-sectional morphology using field-emission scanning electron microscopy (FE-SEM). The electrochemical performance was assessed at 750°C with a NiO-YSZ/YSZ/GDC half-cell configuration. The reference cell without PNO infiltration achieved a maximum power density of 2.07 W/cm2, while the cell with 0.05 M PNO infiltration reached an improved value of 2.55 W/cm2. These results demonstrate that by optimizing the infiltration concentration of PNO, we can fabricate a high-performance nanostructured functional layer without adding extra thickness, confirming infiltration as an effective strategy for enhancing SOFC performance.

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Tape-casting Process Electrochemical Characteristic Test for Fabrication of LST-GDC for Anode Supported SOFCs
Min Ji Kim, Chunghyun Kim, Young-Beom Kim
J. Korean Soc. Precis. Eng. 2025;42(11):937-942.
Published online November 1, 2025
DOI: https://doi.org/10.7736/JKSPE.025.073

In this study, we developed a composite anode support composed of La-doped SrTiO3 (LST) and Gd-doped CeO2 (GDC) using a tape casting process for solid oxide fuel cells (SOFCs). By adjusting the pore former content in the slurry, we constructed a bilayered structure consisting of a porous anode support layer (ASL) and a dense anode functional layer (AFL) with the same material composition. The number of tape-cast sheets was controlled to tailor the overall thickness, and lamination followed by co-sintering at 1250oC resulted in a mechanically robust bilayer. We characterized the microstructural evolution concerning sintering temperature and pore former content using SEM, while XRD confirmed the phase stability of LST and GDC. The measured electrical conductivity at 750oC ensured sufficient electron transport. To enhance interfacial adhesion and suppress secondary phase formation, we introduced a GDC buffer layer and a pre-sintering treatment prior to electrolyte deposition. A full cell with a YSZ electrolyte and LSCF cathode achieved a stable open circuit voltage of approximately 0.7 V and demonstrated continuous operation at 750oC. These findings highlight the suitability of LST-GDC composite anodes as thermochemically stable supports, potentially enabling direct hydrocarbon utilization in intermediate-temperature SOFCs.

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A Study on Numerical Thermal Design Techniques for High-power Propulsion Motors
Jaehun Choi, Chiwon Park, Heesung Park
J. Korean Soc. Precis. Eng. 2025;42(11):893-900.
Published online November 1, 2025
DOI: https://doi.org/10.7736/JKSPE.025.036

Propulsion motors are vital components in marine propulsion systems and industrial machinery, where high torque and operational reliability are paramount. During operation, high-power propulsion motors generate considerable heat, which can adversely affect efficiency, durability, and stability. Therefore, an effective thermal management system is necessary to maintain optimal performance and ensure long-term reliability. Cooling technologies, such as water jackets, are commonly employed to regulate temperature distribution, prevent localized overheating, and preserve insulation integrity under high-power conditions. This paper examines the cooling performance of water jackets for high-power propulsion motors through numerical analysis. We evaluated the effects of three different cooling pipe locations and varying coolant flow rates on thermal balance and cooling efficiency. Additionally, we analyzed temperature variations in the windings and key heat-generating components to determine if a specific cooling flow rate and pipe configuration can effectively keep the winding insulation (Class H) within its 180oC limit. The findings of this study highlight the significance of optimized cooling system design and contribute to the development of efficient thermal management technologies, ultimately enhancing motor reliability, operational stability, and energy efficiency.

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SPECIAL

Development of Droplet Sliding Control Surfaces on Multiscale Hierarchical Polymeric Structures
Min Ji Kim, Seong Min Kim, Ji Seong Choi, Seong Min Kang
J. Korean Soc. Precis. Eng. 2025;42(10):825-832.
Published online October 1, 2025
DOI: https://doi.org/10.7736/JKSPE.D.25.00005

In this paper, we propose a novel method for controlling the anisotropic sliding behavior of droplets using multiscale hierarchical structures. First, we employed a silicon wafer mold containing micro-pillars and directional micro-line structures to induce the directional sliding of droplets. Additionally, we fabricated micro-cone patterns and integrated them into the structures to precisely control droplet movement. These two structures were replicated in polymer and subsequently fused into a single multiscale hierarchical mold through a partial curing process. The completed multiscale hierarchical surface was then replicated with PDMS to create anisotropy that governs the direction of droplet movement. We experimentally confirmed that the degree of sliding is influenced by the cone pattern. Our proposed structural design demonstrates that anisotropic wettability control is achievable even on surfaces made from a single material, indicating potential applications in various fields such as microfluidics, sensors, and functional surfaces.

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REGULAR

Study on UV Energy Effects in High Aspect Ratio Patterning via the Self-propagating Photopolymer Waveguide (SPPW) Method
Jun Ho Song, Woo Young Kim, Seungwoo Shin, Seok Kim, Young Tae Cho
J. Korean Soc. Precis. Eng. 2025;42(9):757-762.
Published online September 1, 2025
DOI: https://doi.org/10.7736/JKSPE.025.041

This study quantitatively examines the impact of ultraviolet (UV) intensity and energy on the formation of high aspect ratio (HAR) microstructures using the Self-Propagating Photopolymer Waveguide (SPPW) process. This mechanism relies on the self-focusing of UV light within a refractive index gradient, allowing the light to propagate and polymerize vertically beyond the initial exposure zone. Experiments were performed at UV intensities of 7.5, 12.5, and 17.5 mW/cm2, with energy levels ranging from 0.0375 to 13.5 J/cm2. The results indicated that a lower UV intensity of 7.5 mW/cm2 produced uniform and vertically elongated structures, achieving a maximum aspect ratio of 12.26 at 0.9 J/cm2. In contrast, higher UV intensities led to lateral over-curing, base expansion, and shape distortion, primarily due to rapid polymerization and the oxygen inhibition effect. These findings emphasize the importance of precisely controlling both UV intensity and energy to produce uniform, vertically aligned HAR microstructures, offering valuable insights for optimizing the SPPW process in future microfabrication applications.

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Articles
Optimized Microstructures for High Performance Ag/MWCNT/Ecoflex- based Flexible Pressure Sensors
Hyeon Yun Jeong, Jeong Beom Ko
J. Korean Soc. Precis. Eng. 2025;42(8):657-664.
Published online August 1, 2025
DOI: https://doi.org/10.7736/JKSPE.025.065
Recently, flexible pressure sensors featuring enhanced sensitivity and durability through nano/micro additive manufacturing have been employed in various fields, including medical monitoring, E-skin technology, and soft robotics. This study focuses on the fabrication and verification of an interdigitated electrode (IDE) based flexible pressure sensor that incorporates microstructures, utilizing a direct patterning-based additive process. The IDE-patterned sample was designed with a total size of 7.95 × 10 mm2, a line width of 150 µm, a spacing of 200 µm, and a probe pad measuring 1.25 × 2 mm2. It was fabricated using AgNP ink on a primed 100 µm thick polyethylene naphthalate (PEN) substrate. The electrode layer was subsequently covered with a sensing layer made of a MWCNT/Ecoflex composite material, resulting in the final pressure sensor sample. Measurements indicated that the sensor exhibited good sensitivity and response speed, and it was confirmed that further improvements in sensitivity could be achieved by optimizing the size, spacing, and height of the microstructures. Building on the flexible pressure sensor structure developed in this study, we plan to pursue future research aimed at fabricating array sensors with integrated circuits and exploring their applicability in wearable devices for pressure sensing and control functions.
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Bayesian Optimization of Process Parameters for Enhanced Overhang Structure Quality in L-PBF
Kyung Lim Oh, Ju Chan Yuk, Suk Hee Park
J. Korean Soc. Precis. Eng. 2025;42(7):555-564.
Published online July 1, 2025
DOI: https://doi.org/10.7736/JKSPE.025.075
Overhang structures are essential geometries in metal additive manufacturing for realizing complex shapes. However, achieving stable, support-free overhang structures requires precise control of process parameters, and securing shape fidelity becomes particularly challenging as overhang length increases due to thermal deformation. To address this challenge, this study proposed a Bayesian optimization framework for efficiently identifying optimal process parameters to fabricate high-difficulty overhang structures. An image-based scoring method was developed to quantitatively evaluate shape defects. Experimental data were collected by fabricating 3, 6, and 9 mm overhang structures with various process parameters. Based on collected data, Gaussian Process Regression (GPR) models were trained. A physics-informed soft penalty term based on energy density was incorporated to construct a surrogate model capable of making physically plausible predictions even in extrapolated regions. Using this model, Bayesian optimization was applied to overhang lengths of 12, 15, and 18 mm, for which no prior experimental data existed. Recommended parameters enabled stable, support-free fabrication of overhang structures. This study demonstrates that reliable optimization of process parameters for complex geometries can be achieved by combining minimal experimental data with physics-informed modeling, highlighting the framework’s potential extension to a wider range of geometries and processes
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Laser-induced Process for Fabrication of Silicon Microstructure
Sung Jin Park, Bongchul Kang
J. Korean Soc. Precis. Eng. 2025;42(7):499-503.
Published online July 1, 2025
DOI: https://doi.org/10.7736/JKSPE.025.053
Silicon is a key material in advanced technologies due to its thermal stability, appropriate bandgap, and wide applicability for advanced devices. Si microstructures offer enhanced surface area, thus improving performances for energy storage and biosensing applications. However, conventional top-down fabrication methods are complex, costly, and environmentally unfriendly as they rely on cleanroom facilities and toxic chemicals. This study proposed a simplified, eco-friendly bottom-up laser-based process to fabricate silicon microstructures. By controlling laser parameters during the interaction with silicon nanoparticles, diverse Si structures can be fabricated by Si nanoparticle coating and laser irradiation.
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Detection Method for Island Regions in 3D Printing: A CPU-based Approach
Young Seok Kang, Yeun Seop Kim, Seung Chae Na, Sang Jo Han
J. Korean Soc. Precis. Eng. 2025;42(1):89-96.
Published online January 1, 2025
DOI: https://doi.org/10.7736/JKSPE.024.124
Additive manufacturing, a key enabler of Industry 4.0, is revolutionizing the automatic landscape in manufacturing. The primary challenge in manufacturing innovation centers on the implementation of smart factories characterized by unmanned production facilities and automated management systems. To overcome this challenge, the adoption of 3D printing technologies, which offer significant advantages in standardizing production processes, is crucial. However, a major obstacle in complete automation of additive manufacturing is an inadequate placement of support structures at critical locations, which remains the leading cause of print failures. This study proposed a novel algorithm for accurate detection of island regions known to be critical areas requiring support structures. The algorithm can compare loops on two consecutive layers derived from STL files. In contrast to conventional GPU-based image comparison methods, our proposed CPU-based algorithm enables high-precision detection independent of image resolution. Experimental results demonstrated the algorithm's efficacy in enhancing the reliability of 3D printing processes and optimizing automated workflows. This research contributes to the advancement of smart manufacturing by addressing a critical challenge in the automation of additive manufacturing processes.
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Prediction of Elastic Modulus in Porous Structures Considering Materials and Design Variables Using Artificial Neural Network
Min Ji Ham, In Yong Moon
J. Korean Soc. Precis. Eng. 2024;41(11):897-903.
Published online November 1, 2024
DOI: https://doi.org/10.7736/JKSPE.024.093
Predicting elastic modulus of a porous structure is essential for applications in aerospace, biomedical, and structural engineering. Traditional methods often struggle to capture complex relationships between material properties, design variables, and mechanical behavior. This study employed artificial neural networks (ANNs) to predict the elastic modulus of a porous structure based on various material and design parameters. An ANN model was trained on a dataset generated via finite element analysis (FEA) simulations, covering diverse combinations of material properties and design variables (e.g., porosity, structure types). The model demonstrated high accuracy in predicting the elastic modulus on a separate test dataset. Key findings included identification of significant design variables influencing the elastic modulus and the ANN model"s ability to generalize predictions to new data. This approach showcases that ANN is a powerful tool for designing and optimizing porous structures, providing reliable mechanical property predictions without extensive experimental testing or complex simulations. The proposed method can enhance design efficiency and pave the way for developing advanced materials with tailored mechanical properties. Future research will extend the model to predict other mechanical properties and incorporate experimental validation to verify ANN predictions.
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Study on Repair of SKD 61 Using Directed Energy Deposition with H13 and P21 Powders
Bit-na Yun, Min-seong Ko, Hyo-jeong Kang, Do-Sik Shim
J. Korean Soc. Precis. Eng. 2024;41(11):849-856.
Published online November 1, 2024
DOI: https://doi.org/10.7736/JKSPE.024.073
In this study, we investigated characteristics and mechanical properties of SKD61 repaired using the direct energy deposition (DED) process. Mechanical properties of the repaired product can vary depending on the base material and powder used in the DED process. To prepare for DED repairing for a damaged part, we conducted experiments using two different powders (H13 and P21). Experimental results showed that both powders were deposited without defects in the surface or interface between the deposited zone and the substrate. Hardness measurements indicated that the repaired region of the Repaired-H13 sample exhibited higher hardness than the base material, while the Repaired-P21 sample showed a sharp increase in hardness in the heat-affected zone (HAZ). Additionally, tensile test results revealed that the Repaired-H13 sample had lower tensile strength and elongation than the base material, whereas the Repaired-P21 sample demonstrated higher tensile strength and yield strength with a higher elongation than the Repaired-H13 sample. In case of Repaired-H13, it was confirmed that interfacial crack occurred due to a high hardness difference between the repaired part and the substrate.

Citations

Citations to this article as recorded by  Crossref logo
  • Microstructure and mechanical properties of P21 tool steel fabricated via laser powder bed fusion
    A. Rajesh Kannan, V. Rajkumar, S. Maheshwaran, N. Siva Shanmugam, Wonjoo Lee, Jonghun Yoon
    Materials Letters.2025; 398: 138930.     CrossRef
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  • Crossref
Performance Analysis according to Microstructure of Anode Function Layer based on Porous Metal Substrate for Solid Oxide Fuel Cells
Jisung Yoon, Young-Beom Kim
J. Korean Soc. Precis. Eng. 2024;41(10):777-781.
Published online October 1, 2024
DOI: https://doi.org/10.7736/JKSPE.024.002
In this study, to improve the performance of a solid oxide fuel cell based on a porous metal support, a fuel cell using a multi-layered anode functional layer was fabricated and electrochemical performance analysis was performed. Surface and cross-sectional microstructures according to particle size control were confirmed through FE-SEM. The pore size of the multi-layer anode functional layer was gradually reduced compared to that of a single-structure anode functional layer. As a result, it was confirmed that the surface roughness was lower than that of the single structure. This led to a reduction in polarization resistance through smooth transmission of gas generated from the electrode. As a result, it was confirmed that electrochemical performance was improved by more than 1.25 times in fuel cells using a multi-layered anode functional layer compared to that with a single structure.
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Study on PCM Cooling of Wireless Charger Using Electromagnetic Field-thermal-fluid-structure Coupled Analysis
Soonjae Hwang, Sarang Yi, Seakmoo Hong
J. Korean Soc. Precis. Eng. 2024;41(4):305-312.
Published online April 1, 2024
DOI: https://doi.org/10.7736/JKSPE.023.150
With the increasing use of portable devices, the safety and efficiency of wireless chargers have become significant concerns. Wireless chargers can cause battery damage, deformation, and failure of the charging module due to the high temperatures generated during the charging process. Thus, the importance of thermal management has been increasingly emphasized. In this study, we experimentally confirmed that cooling performance was improved by applying phase change material (PCM) to the heat-generating parts of the wireless charger. The cooling performance of the PCM was analyzed using Ansys Fluent, the component temperature was measured with an infrared camera, and 3D thermal deformation was measured with a DIC measurement device. Electromagnetic field, thermal, fluid, and structural coupled analyses were performed to investigate the impact of thermal deformation caused by wireless charging. The results showed that the temperature and deformation error was within 3% of the coupled analysis results, and the proposed electromagneticthermal-fluid-structural coupled analysis enabled more accurate simulation prediction of the physical coupling process inside the wireless charger.
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Influence of Cooling Rate and Sn Addition on Microstructure Formation of As-cast GCD700 Spheroidal Graphite Cast Irons
Seong-Ho Ha, Jaegu Choi, Dong-Hyuk Kim, Sang-Yun Shin
J. Korean Soc. Precis. Eng. 2024;41(3):175-182.
Published online March 1, 2024
DOI: https://doi.org/10.7736/JKSPE.023.118
This study investigated the influence of cooling rate and Sn addition on the microstructure formation of as-cast GCD700 spheroidal graphite cast irons. Changes in cooling rate manifested as step cast thickness differences. Optical microstructures of as-cast GCD700 alloys revealed α-ferrite and pearlite and dispersed graphite nodules. In all examined thicknesses without Sn, the α-ferrite, rather than the pearlite, surrounding graphite nodules appeared to dominate microstructures, and the graphite looked well rounded, whereas microstructure containing 0.09% Sn had a significantly expanded pearlite area. Image analysis showed numbers of graphite nodules increased only on decreasing cast thickness. However, the phase fractions of ferrite and pearlite were not dependent on thickness. For samples containing Sn, pearlite fractions significantly increased with Sn content. Thermodynamic calculations and scanning electron microscopy-based microstructural analysis confirmed that the Sn contents examined had no significant effect on phase formation, Sn segregation, or the relationships between ferrite and Fe3C orientations in pearlite.
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Development of Drone-attached Spraying Device for Active Maintenance of Structures
Seung-Han Yang, Kwang-Il Lee
J. Korean Soc. Precis. Eng. 2023;40(12):975-980.
Published online December 1, 2023
DOI: https://doi.org/10.7736/JKSPE.023.086
Exteriors of structures (apartments, buildings, bridges, dams, power plants, etc.) are subject to deterioration and damage (cracks, rust, etc.), mainly due to thermal expansion/contraction and environmental humidity. The damages shorten the lifespan of structures and cause unnecessary reconstruction, increasing social costs. The existing damage maintenance methods, which are directly constructed by the workers, have problems such as reduced work efficiency, increased work cost, lack of timely maintenance, and high work risks. In this paper, a spraying device attached to a drone for active and flexible maintenance of structures is developed. To simplify maintenance, the device consists of a solenoid motor, detachable parts for maintenance agent, and a lightweight-designed frame, manufactured with a 3D printer. In particular, the lever mechanism that amplifies the pushing force of the solenoid motor is designed to spray the maintenance agent when a switch comes into contact with the exterior of the structure. The prototype of a spraying device is attached to a commercial drone (Mavic3, DJI) and tested for effectiveness in structure maintenance. It demonstrates successful, cost-effective maintenance of structural damages in less than 10 minutes.
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