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SPECIAL

Mass-producible Stepwise Thermal Patterning for Bio-inspired Dry Adhesives
Han Jun Park, Minsu Kim, Songyoung Lee, Moon Kyu Kwak
J. Korean Soc. Precis. Eng. 2025;42(10):833-841.
Published online October 1, 2025
DOI: https://doi.org/10.7736/JKSPE.D.25.00008

Dry adhesives inspired by gecko footpads have garnered considerable attention due to their unique features, including strong yet reversible adhesion, self-cleaning properties, and repeatable use. However, scaling these microstructured adhesives from laboratory fabrication to continuous, high-throughput manufacturing poses significant challenges. In this study, we introduce a stepwise thermal patterning system designed for the scalable production of gecko-inspired dry adhesives on flexible substrates. This automated system combines sequential processes such as plate-to-plate micro-molding, rapid thermal curing, demolding, and roll-up of the patterned film. By raising the curing temperature to approximately 180oC and employing an efficient stepwise imprinting method, we achieve fabrication speeds of up to 150 mm/min without compromising pattern accuracy. The system successfully replicates micropillar structures with a diameter of 15 μm and height of 15 μm, featuring 20 μm mushroom-shaped tips on flexible substrates. The resulting dry adhesives demonstrate stable pull-off strengths of 20-23 N/cm² and retain over 83.5% of their initial adhesion after 100,000 attachment–detachment cycles. These findings highlight the potential of our platform for reliable, high-throughput manufacturing of bio-inspired adhesives, paving the way for various industrial applications such as robotic manipulators, pick-and-place electronic assembly, and wearable devices that require repeated, residue-free attachment.

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REGULAR

Tensile Behavior of 3D Printed Specimens by Small Punch Test
Bum Joon Kim
J. Korean Soc. Precis. Eng. 2025;42(10):879-884.
Published online October 1, 2025
DOI: https://doi.org/10.7736/JKSPE.025.121

The purpose of this study is to evaluate the deformation behavior of 3D printed specimens using the small punch tensile test method. Traditional tensile tests for assessing mechanical properties require a significant amount of material to produce uniaxial tensile specimens. In contrast, the small punch test method only requires 10 x 10 x 0.5 mm (width x length x thickness) thin plate specimens, providing a substantial economic advantage in specimen sampling and production. This method is particularly beneficial when it is impossible to produce specimens of the same size as uniaxial specimens, as it allows tensile testing with just the minimum sample required. In this study, we utilized fused deposition modeling 3D printing and considered various 3D printing parameters, such as layer height and volume fraction, while manufacturing the specimens. We then compared and analyzed the effects of these variables on tensile strength as measured by the small punch tensile test. Furthermore, we focused on investigating the applicability of this method to the deformation behavior of 3D printed specimens. We also examined the impact of laminating conditions, including layer height, printing speed, and laminating direction, on the failure modes observed after the small punch tensile test.

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SPECIALs

Design and Evaluation of 3D Printed Molds for Engineered Muscle Fabrication
Hyun Ji Yang, Min Ju Choi, Yeong-Jin Choi
J. Korean Soc. Precis. Eng. 2025;42(9):689-694.
Published online September 1, 2025
DOI: https://doi.org/10.7736/JKSPE.025.082

Bioengineered skeletal muscle constructs that replicate the architectural, metabolic, and contractile characteristics of native tissue are becoming essential platforms for disease modeling and advancing regenerative medicine. The creation of these constructs relies heavily on cell-mediated gel compaction, a crucial process for facilitating tissue maturation. To ensure myotube alignment, muscle cell-laden hydrogels are typically embedded in 3D-printed molds with anchor structures. However, structural detachment or rupture often occurs during culture, which undermines the stability and functional differentiation of the engineered tissue. To address these challenges, we developed an improved anchor-type mold through a series of structural optimizations. We first compared two anchor geometries—linear and mushroom-shaped pillars—within rectangular frames, finding that the mushroom-shaped design provided better structural retention. However, the rectangular frames led to excessive gel compaction, causing detachment and disrupting cellular alignment, especially in central regions. To alleviate these issues, we introduced a dumbbell-shaped mold with a narrowed midsection to better distribute mechanical stress. This new mold effectively promoted aligned myotube formation, long-term construct maintenance, and functional maturation. Our findings underscore the benefits of structurally optimized molds in creating stable engineered muscle, with significant implications for regenerative therapies and preclinical testing platforms.

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The Role of 3D Printing in Organ-on-a-chip Development: Fabrication Strategies and Biomedical Applications
Seonghyuk Park, Jiyoung Song, Noo Li Jeon, Hong Nam Kim
J. Korean Soc. Precis. Eng. 2025;42(9):677-688.
Published online September 1, 2025
DOI: https://doi.org/10.7736/JKSPE.025.080

Microphysiological systems (MPS) are advanced platforms that mimic the functions of human tissues and organs, aiding in drug development and disease modeling. Traditional MPS fabrication mainly depends on silicon-based microfabrication techniques, which are complex, time-consuming, and costly. In contrast, 3D printing technologies have emerged as a promising alternative, allowing for the rapid and precise creation of intricate three-dimensional structures, thereby opening new avenues for MPS research. This review examines the principles, characteristics, advantages, and limitations of key 3D printing techniques, including fused deposition modeling (FDM), stereolithography (SLA)/digital light processing (DLP), inkjet 3D printing, extrusion-based bioprinting, and laser-assisted bioprinting. Additionally, we discuss how these technologies are applied in MPS fabrication and their impact on MPS research, along with future prospects for advancements in the field.

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Articles
Fabrication and Evaluation of HDPE Additive Manufacturing with Zig-zag Layer Method
Si Seup Kim, Ji Kwan Kim
J. Korean Soc. Precis. Eng. 2025;42(2):121-128.
Published online February 1, 2025
DOI: https://doi.org/10.7736/JKSPE.024.114
This study aims to optimize the process conditions for high-density polyethylene (HDPE) additive manufacturing through a systematic analysis of key variables, including material selection, layer height, feed rate, melting temperature, and bed temperature. By exercising precise control over these variables, optimal conditions were established, which included a melting temperature of 240oC, a welding speed of 150 cm/min, and a material throughput of 5.66 kg/h. Furthermore, the process was refined by implementing a zig-zag layering method, which significantly improved the stability, bonding strength, and overall mechanical properties of the final HDPE products. The effects of these optimized process conditions were assessed through a series of mechanical tests, such as tensile tests, impact tests, and heat deflection temperature (HDT) tests. As a result, the defined process conditions yielded excellent mechanical performance, achieving a tensile strength of 21.15 MPa, an impact strength of 320 J/m, and an HDT of 93oC. Overall, this study illustrates the enhancement of HDPE additive manufacturing quality through the optimization of process conditions. The strategic implementation of these optimized variables, along with advanced extrusion module design, demonstrates the potential for producing high-quality and cost-effective HDPE products, thereby underscoring their enhanced marketability and performance potential.
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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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Manufacturing Process for Highly Stable Thermal Imprinting Transparent Electrode Using IPL Sintering
Yunseok Jang
J. Korean Soc. Precis. Eng. 2025;42(1):75-78.
Published online January 1, 2025
DOI: https://doi.org/10.7736/JKSPE.024.119
This paper shows results of research on transparent electrode manufacturing processes using thermal imprinting and IPL technique. By using an IPL process instead of the existing heat sintering process, the sheet resistance value was reduced to about 1/ 10. Additionally, sintering time could be reduced from 1 hour to 1 ms. As a result of measuring the transmittance to determine the excellence of the transparent electrode produced in this way, it was confirmed that it had a high transmittance of 94.4% compared to the substrate with a very high bending stability compared to the existing ITO transparent electrode. These results show that the transparent electrode manufacturing method proposed in this study is very useful.
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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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Satellite Optical System Manufacturing Technology Using 3D Printing Technology
Seong Hyeon Park, Hwan Ho Maeng, Jin Yong Heo, Joong Kyu Ham, Jong Gyun Kang, Geon Hee Kim
J. Korean Soc. Precis. Eng. 2024;41(2):117-122.
Published online February 1, 2024
DOI: https://doi.org/10.7736/JKSPE.023.131
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A Study on the Wear Phenomena of PLA and PETG Materials for 3D Printing in Non-lubricated Condition
Yonsang Cho, Hyunseop Lee
J. Korean Soc. Precis. Eng. 2024;41(2):145-151.
Published online February 1, 2024
DOI: https://doi.org/10.7736/JKSPE.023.119
With the recent development of 3D printing technology, various 3D printing materials have been developed and used. To utilize 3D-printed products with mechanical parts, studies on friction and wear characteristics according to relative motion between materials are required. However, tribology studies on 3D-printed materials are limited compared to those of the existing materials for mechanical parts. In this study, the frictional and wear characteristics are identified through a reciprocating wear test in non lubricated conditions between the Polylactic Acid (PLA) and Polyethylene Terephthalate Glycol (PETG) printed in the Fused Deposition Modeling (FDM) method. In the wear test between the same materials, the friction coefficient and wear rate were higher in the PLA than in the PETG, and PLA was deposited on the block due to high frictional heat. In the wear test of the PLA block and PETG bump, the wear of the PLA block decreased compared to the wear test between the same materials, but the wear of the PETG bump tended to increase. Therefore, it seems that the 3D-printed PETG may be more advantageous in terms of friction and wear than 3D-printed PLA during relative movement in a non lubricating condition.

Citations

Citations to this article as recorded by  Crossref logo
  • Tribological Properties of Fused Deposition Modeling-Printed Polylactic Acid and PLA-CF: Extrusion Temperature and Internal Structure
    Paweł Zawadzki, Justyna Rybarczyk, Adam Patalas, Natalia Wierzbicka, Remigiusz Łabudzki, Băilă Diana, Fodchuk Igor, Bonilla Mirian
    Journal of Tribology.2026;[Epub]     CrossRef
  • Artificial Intelligence Technologies and Applications in Additive Manufacturing
    Selim Ahamed Shah, In Hwan Lee, Hochan Kim
    International Journal of Precision Engineering and Manufacturing.2025; 26(9): 2463.     CrossRef
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  • Crossref
Fabrication of Dual-morphing Vascular Stents Using Additive-lathe Printing of Shape Memory Polymers
Yuseok Kim, Seung Mun Lee, Suk-Hee Park
J. Korean Soc. Precis. Eng. 2023;40(10):797-803.
Published online October 1, 2023
DOI: https://doi.org/10.7736/JKSPE.023.077
In this study, we present the fabrication of dual-morphing vascular stents using an additive-lathe printing method and two different shape-memory polymers. Traditional additive manufacturing techniques confront significant challenges in producing vascular stents with complex, hollow, mesh-like structures due to limitations such as a flat printing bed and the placement of supports. To overcome these obstacles, we employed a lathe-type additive manufacturing system with a rotatable base substrate, enabling precise fabrication of cylindrical-shaped stents. To achieve shape transformability, we used shapememory polymers as the stent materials, offering the advantage of minimally invasive surgery. Two distinct shape-memory polymers, with different transition temperatures (35 and 55oC), were printed using the additive-lathe method. The printed stents consisted of two distinct parts that underwent dual-stage morphological changes at the different temperatures. By manipulating the printing paths, the dual-morphing properties of the stents could be adjusted in both longitudinal and circumferential directions. This innovative approach could be a solution to several limitations associated with the application of stents in diseased vascular tissues with complex shapes, facilitating minimal invasion during surgical procedures.
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Optimization Design of Student KSAE BAJA Knuckle Using SLM 3D Printer
Young Woo Im, Geon Taek Kim, Hyeon Sang Shin, Kang Min Kim, Bu Hyun Shin, Jong Won Lee, Jinsung Rho
J. Korean Soc. Precis. Eng. 2023;40(9):719-724.
Published online September 1, 2023
DOI: https://doi.org/10.7736/JKSPE.023.028
With advancements in the 3D printing technology, many industrial sectors are transitioning from traditional production methods, such as cutting processing, and casting, to utilizing 3D printers for manufacturing. For instance, in the automotive industry, the production of vehicle upright knuckle parts typically involves casting followed by machining processes, such as turning and milling, to achieve dimensional accuracy. However, this approach is associated with high processing costs and longer lead times. This study focuses on the production of vehicle upright knuckle parts using a selective laser melting (SLM)-type 3D printer, with SUS 630 as the material. To evaluate the feasibility of utilizing this method in industrial vehicles, this study conducts static and modal analyses, along with topology optimization. Additionally, experimental test drives are performed with the parts installed in KSAE BAJA vehicles, and modal frequency experiments are conducted. The objective of these analyses and experiments is to assess the performance, reliability, and applicability of utilizing SLM-based 3D printing for manufacturing vehicle upright knuckle parts by optimizing the design through topology optimization and evaluating the results through experiments and analysis.
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A Study on the Development of Adaptive 5-axis Path Generation CAM S/W for High Speed Metal 3D Printer
Sung Gun Lee, Hyun Chul Kim
J. Korean Soc. Precis. Eng. 2023;40(5):367-372.
Published online May 1, 2023
DOI: https://doi.org/10.7736/JKSPE.023.029
This research developed a CAM S/W, which generates an adaptive 5-axis tool path, to optimize the quality of Direct Energy Deposition (DED) 3D printing. After reconstructing part shapes and generating printing paths in each shape, the path simulation including automatic collision detection was implemented. Productivity and printing quality were improved through equipment improvement and process optimization. In addition, high-quality parts with desirable physical and mechanical properties were produced by generating an adaptive 5-axis path specialized in the printing process that reflects various physical phenomena and monitoring results. Finally, the performance of CAM S/W was verified through the production of prototypes for industrial components.
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DED Additive Manufacturing Using Auto-Surface Tracking Technology
Taeho Ha, Segon Heo, Changwoo Lee, Min-Kyo Jung, Jang-Wook Choi
J. Korean Soc. Precis. Eng. 2023;40(3):217-222.
Published online March 1, 2023
DOI: https://doi.org/10.7736/JKSPE.023.004
Directed energy deposition (DED) additive manufacturing technology enhances the functionality of existing or damaged parts by adding metallic materials to the surfaces. Blown-powder DED technology utilizes a focused, high-energy source to fuse the part’s surface with the supplied metal powder. Maintaining a constant stand-off distance (SOD), the distance between the deposition head and the workpiece, is a key factor in ensuring deposition quality, as variations in SOD will change the powder focus position and the laser spot size on the surface. Therefore, traditional additive manufacturing systems require CAD or pre-scanned surface data. In this study, we proposed auto-surface tracking technology. No workpiece CAD data or pre-scanned surface data are required, and in-situ measurement and feedback control can automatically consider the deposition height differences that cause a change in SOD when depositing the next layer. The accuracy of the SOD measurements and feedback control error was verified using a step height sample. The mean SOD measurement error was 4.7 ㎛ with a standard deviation of 42 ㎛ (reference SOD, 14 ㎜). The feasibility of the autosurface tracking technology was confirmed through the additive manufacturing processes of the gear and an actual blanking mold applied in the defense and industrial fields.
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A Study on 3D Printing Conditions Prediction Model of Bone Plates Using Machine Learning
Song Yeon Lee, Yong Jeong Huh
J. Korean Soc. Precis. Eng. 2022;39(4):291-298.
Published online April 1, 2022
DOI: https://doi.org/10.7736/JKSPE.021.096
Bone plates made of biodegradable polymers have been used to fix broken bones. 3D printers are used to produce the bone plates for fracture fixing in the industry. The dimensional accuracy of the product printed by a 3D printer is less than 80%. Fracture fixing plates with less than 80% dimensional accuracy cause problems during surgery. There is an urgent need to improve the dimensional accuracy of the product in the industry. In this paper, a methodology using machine learning was proposed to improve the dimensional accuracy. The proposed methodology was evaluated through case studies. The results predicted by the machine learning methodology proposed in this paper and the experimental results were compared through the experiment. After verification, results of the proposed prediction model and the experimental results were in good agreement with each other.
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