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"Jin Kim"

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Study on the Variation in Mechanical Performance of Medical Balloons depending on Polymer Tube Extrusion Process Variables
Jin Su Lee, Gyu Man Kim, Sungkwon Lee, Woojin Kim, Euntaek Lee
J. Korean Soc. Precis. Eng. 2026;43(1):79-90.
Published online January 1, 2026
DOI: https://doi.org/10.7736/JKSPE.025.087
Balloon catheters are a key technology in medical devices, essential for minimally invasive procedures. This study quantitatively analyzes how the orientation characteristics of polymer tubes, influenced by extrusion conditions, affect the mechanical properties and compliance of the final balloon—where compliance refers to the change in diameter under external pressure. Nylon 12 tubes, with a target outer diameter of 1.2 mm and an inner diameter of 1.0 mm, were extruded under six different orientation conditions by varying the screw flow rate and puller speed. The tubes were processed under identical forming conditions, allowing for a consistent evaluation of their mechanical properties. As orientation increased, elongation decreased while yield strength increased, and these trends continued in the balloon, significantly influencing compliance. To quantitatively measure orientation, we introduced the dimensionless Deborah number. We established a curve-fitted experimental model that links extrusion conditions, polymer tube properties, and balloon compliance. This model allows for the prediction of balloon performance based on extrusion-stage parameters, providing a practical framework for process optimization. Overall, this study offers an effective quantitative indicator for forecasting balloon catheter performance based on extrusion conditions and supports the systematic design of medical balloon products.
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Performance Evaluation of Laser-induced Graphene on Wood under Laser Modulation
Hyungjun Ha, Hyeong Ryeol Choi, Do-Jeong Kim, Young-Jin Kim, Han Ku Nam
J. Korean Soc. Precis. Eng. 2026;43(1):113-120.
Published online January 1, 2026
DOI: https://doi.org/10.7736/JKSPE.025.00026
Laser-induced graphene (LIG) fabrication technology, introduced by the James Tour group at Rice University in 2014, has been extensively explored for various applications. These applications include physical sensors such as bending, temperature, and touch sensors; chemical sensors like gas and pH sensors; and energy storage devices, particularly micro-supercapacitors (MSCs). Additionally, theoretical studies utilizing molecular dynamics (MD) simulations have been conducted to investigate the LIG formation mechanism. However, the carbonization and graphitization of organic materials are complex and spatially non-uniform, making complete mechanistic interpretation difficult. Most existing research has primarily focused on chemical and materials science aspects, with practical process optimization using commercial laser systems largely limited to simple variations in laser power and scan speed. There is a lack of systematic studies addressing broader laser-parameter modulation. In this study, we systematically varied laser parameters—including power, scanning speed, pulse width, repetition rate, line spacing, and defocusing—and comprehensively evaluated the resulting electrical, physical, and chemical properties of LIG formed on wood substrates. The results provide insights into how graphene quality varies with laser processing conditions and demonstrate a versatile approach for controlling performance through laser modulation.
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REGULAR

Electrochemical Impedance Analyses of ePTFE-reinforced Polymer Electrolyte Membrane-based PEMFC with Varying Thickness and Relative Humidity
Gyutae Park, Subin Jeong, Youngjae Cho, Junseo Youn, Jiwon Baek, Jooyoung Lim, Dongjin Kim, Taehyun Park
J. Korean Soc. Precis. Eng. 2025;42(11):901-907.
Published online November 1, 2025
DOI: https://doi.org/10.7736/JKSPE.025.052

The polymer electrolyte membrane fuel cell (PEMFC) generates electrical energy through electrochemical reactions and is a key technology for sustainable energy. The electrolyte membrane significantly affects performance under varying conditions. This study examines the impact of membrane thickness and relative humidity (RH) on PEMFC performance using j-V curves and electrochemical impedance spectroscopy (EIS). Experiments were conducted with membrane thicknesses of 30, 15, and 5 μm under RH conditions of 100%-100% and 100%-0%. Under RH 100%-100%, performance improved as the membrane thickness decreased, with values of 954, 1050, and 1235 mW/cm² for the 30, 15, and 5 μm membranes, respectively. The 5 μm membrane demonstrated a 23% performance improvement over the 30 μm membrane. Under RH 100%-0%, performances were 422, 642, and 852 mW/cm², with degradation rates of 55.8%, 39.0%, and 32.1%. The 5 μm membrane exhibited the lowest degradation rate, indicating superior performance under low humidity. These results suggest that thinner membranes generally enhance performance and maintain efficiency even in dry conditions.

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SPECIAL

Emerging Patterning Strategies for Intrinsically Stretchable Conductors: Materials, Architectures, and Device-level Performance
Donghyeon Seo, Seongsik Jeong, Hae-Jin Kim
J. Korean Soc. Precis. Eng. 2025;42(10):789-816.
Published online October 1, 2025
DOI: https://doi.org/10.7736/JKSPE.D.25.00003

Intrinsically stretchable electronics enable seamless integration with dynamic biological tissues and curved surfaces, making them vital for next-generation wearables, biointerfaces, and intelligent robotics. Yet, precise, high-resolution patterning of stretchable electrodes and circuits remains challenging, limiting practical applications. Traditional lithography offers excellent resolution but is hindered by thermal and chemical incompatibilities with soft substrates. Consequently, alternative approaches such as soft lithography, laser-based patterning, printing methods, and electrospray deposition have gained importance. Soft lithography provides an economical, low-temperature option suitable for delicate materials like liquid metals. Laser-based techniques deliver high resolution and design flexibility but require careful parameter tuning for specific substrates. Mask-free printing methods, including direct ink writing and inkjet printing, enable versatile patterning of complex geometries, while electrospray deposition supports precise, non-contact patterning on stretchable surfaces. Collectively, these techniques advance the fabrication of robust stretchable displays, wireless antennas, and bioelectronic interfaces for accurate physiological monitoring. Despite progress, challenges persist, particularly in achieving large-area uniformity, multilayer stability, and sustainable processing. Addressing these issues demands interdisciplinary collaboration across materials science, fluid dynamics, interfacial engineering, and digital manufacturing. This review highlights recent progress and remaining hurdles, offering guidance for future research in stretchable electronics.

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Articles
Laser-Induced Graphene Direct Writing on Textile for Smart Textile
Dongwook Yang, Young-Jin Kim
J. Korean Soc. Precis. Eng. 2025;42(7):543-554.
Published online July 1, 2025
DOI: https://doi.org/10.7736/JKSPE.025.074
Laser-induced graphene (LIG) presents a promising route toward next-generation smart textiles by enabling direct patterning of conductive materials onto textiles through a single-step laser writing process. In particular, femtosecond laser-based fabrication offers high-resolution processing without damaging substrates. This review summarizes LIG formation mechanisms, laser manufacturing parameters, physical/chemical characteristics, electrical, thermal, and optical properties of LIG. Furthermore, it categorizes representative applications including biosignal monitoring, energy storage, thermal regulation, optical absorber, and extraterrestrial adaptability, all based on textile-integrated LIG. With its porous morphology, high conductivity, and structural versatility, LIG offers outstanding multifunctionality for smart textile applications. Future research should explore precise functional tuning of LIG through laser parameter optimization, accurate characterization of LIG, and advanced smart textile applications.
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Bending and Compressive Performance of Strut Tower Braces based on Finite Element Analysis for Improvement of Vehicle Safety and Stability
Jeong Bin Bae, Jung Jin Kim
J. Korean Soc. Precis. Eng. 2024;41(11):817-825.
Published online November 1, 2024
DOI: https://doi.org/10.7736/JKSPE.024.047
A strut tower brace is one of the components that can improve the driving stability of a vehicle. This component has received steady attention for a long time due to its affordable price and easy installation. However, strut tower braces sold in the market have different structures. Moreover, most of them do not contain sufficient information related to safety or stability. Thus, this study aimed to analyze and compare structural behaviors of strut tower braces having various body shapes under bending and compressive scenarios. For this purpose, this study selected six representative models in the market and calculated structural behaviors (stress and deformation) using finite element analysis. Results revealed the body shape had a decisive effect not only on the durability of the strut tower brace, but also on the safety and stability of the vehicle. Among the six models tested, the model having a body shape with a single-axis form utilizing a wide rectangular cross-sectional showed the best bending and compressive performances. This study also confirmed that bending and compressive performances could be simultaneously improved depending on body shape.
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A Misalignment Diagnosis System for Wafer Transfer Robot based on Deep Learning and Vibration Signal
Su-bin Hong, Hye-jin Kim, Young-dae Lee, Chanwoo Moon
J. Korean Soc. Precis. Eng. 2024;41(10):807-814.
Published online October 1, 2024
DOI: https://doi.org/10.7736/JKSPE.024.075
In the semiconductor manufacturing industry, efficient operation of wafer transfer robots has a direct impact on productivity and product quality. Ball screw misalignment anomalies are a critical factor affecting precision transport of robots. Early diagnosis of these anomalies is essential to maintaining system efficiency. This study proposed a method to effectively diagnose ball screw misalignment anomalies using 1D-CNN and 2D-CNN models. This method mainly uses binary classification to distinguish between normal and abnormal states. Additionally, explainable artificial intelligence (XAI) technology was applied to interpret diagnostic decisions of the two deep learning models, allowing users to convince prediction results of the AI model. This study was based on data collected through acceleration sensors and torque sensors. It compared accuracies of 1D-CNN and 2D-CNN models. It presents a method to explain the model"s predictions through XAI. Experimental results showed that the proposed method could diagnose ball screw misalignment anomalies with high accuracy. This is expected to contribute to the establishment of reliable abnormality diagnosis and preventive maintenance strategies in industrial sites.
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Development of a Vertical Burner Rig Using Methane Flame
Soo Park, Dae-Jin Kim, Jun-Young Kim, Seong-Ju Kim, Ki-Yong Lee, Jeong-Min Kim, Hyung-Ick Kim, Chang-Sung Seok
J. Korean Soc. Precis. Eng. 2024;41(8):653-661.
Published online August 1, 2024
DOI: https://doi.org/10.7736/JKSPE.024.053
In this study, we developed a new vertical thermal gradient rig that uses methane-oxygen fuel. We conducted thermal gradient testing on a thermal barrier coating system, with a flame temperature of 1,900℃. Our results showed that the maximum surface temperature reached 1,065℃, while the temperature difference between the surface temperature and the temperature of the middle substrate (ΔT) was 70oC. Using the same torch as in this study, our finding suggest that the total flow rate of the flame should be above 12.4 LPM, and the gun distance should be less than 8 cm, to simulate a surface temperature of 1,300℃, while keeping the substrate temperature below 1,000℃. This will ensure that the flame is wide enough to cover the entire surface area of the thermal barrier coating.

Citations

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  • Thermal Fatigue Life Evaluation of EB-PVD TBC Using Newly Developed Small-scale Burner Rig
    Soo Park, Dae-Jin Kim, Jun-Young Kim, Seoung-Ju Kim, Chang-Sung Seok
    Journal of the Korean Society for Precision Engineering.2025; 42(1): 65.     CrossRef
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Remote Diagnosis of Air Handling Unit Belt Looseness using a Smartphone based on High-accurate Calibration
Jeongmin Kim, Jin Kim, Yong-Hwa Park
J. Korean Soc. Precis. Eng. 2024;41(8):597-605.
Published online August 1, 2024
DOI: https://doi.org/10.7736/JKSPE.024.018
Belt-pulley looseness is a crucial factor in ensuring the safe operation of machinery used in industrial applications, such as compressors and fans. Traditionally, belt looseness has been inspected using contact-based current and vibration sensors. However, these methods are time-consuming and require manual attachment of the sensors. In order to overcome the limitations of these traditional methods, we propose a remote diagnosis method for detecting belt looseness using a smartphone. By utilizing a four-mirror system, the smartphone can construct a stereo system that enables 3D reconstruction of the object. This allows us to reconstruct the 3D trajectory of the belt and diagnose the level of looseness. To further enhance the accuracy of our proposed system, we have developed a calibration algorithm specifically designed for the four-mirror system. In our actual experiment, we successfully diagnosed four levels of belt looseness. As the level of looseness increased, we observed a curved shape in the 3D trajectory of the belt, along with noticeable quantitative differences. To quantitatively analyze these differences, we introduced a measure called the residual, which reflects the curvilinearity of the 3D trajectory. Our findings confirmed a significant correlation between the residual and the level of belt looseness.
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A Study on How to Utilize Digital Twin-based Machine Learning and Openpose for Poppy Robot’s Motion Control
Bum Jin Kim, Seok Kim, Young Tae Cho
J. Korean Soc. Precis. Eng. 2024;41(5):401-405.
Published online May 1, 2024
DOI: https://doi.org/10.7736/JKSPE.024.008
The key components of smart manufacturing, a central concept in the era of the 4th Industrial Revolution, consist of digital twin technology, AI, and computer vision technology. In this study, these technologies were utilized to govern the Poppy robot, a humanoid robot designed for educational and research purposes. The digital twin creates a virtual environment capable of real-time simulation, analysis, and control of the robot’s motions. The digital twin of the robot was constructed using Unity, a 3D development program. Motion data was captured while simulating the physical structure and movements of the virtual robot. This data was then fed into a Tensorflow-based deep neural network to generate a regression modelthat predicts motor rotation based on the position of the robot’s hand. By integrating this model with a Python-based robot control program, the robot’s movements could be effectively managed. Additionally, the robot was controlled using Openpose, a computer vision algorithm that predicts characteristic points on a human body. Position data for human joint points was collected from 2D images, and the motor angle was calculated based on this data. By implementing this approach on an actual robot, it became possible to enable the robot to replicate human movements.

Citations

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  • Development of a Machine Learning-Based Predictive Model for the Structural Safety of an Optical Table Air Springs Using Simulation Data
    Hwi Jun Son, Young Tae Cho
    Journal of the Korean Society of Manufacturing Process Engineers.2025; 24(12): 105.     CrossRef
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Additional Ionomer-coated Layer for Self-humidifying Polymer Electrolyte Membrane Fuel Cells
Gyutae Park, Dongjin Kim, Junseo Youn, Junghyun Park, Hyoun-Myoung Oh, Taehyun Park
J. Korean Soc. Precis. Eng. 2023;40(12):997-1001.
Published online December 1, 2023
DOI: https://doi.org/10.7736/JKSPE.023.097
In this study, we aim to develop a self-humidifying polymer electrolyte membrane fuel cell (PEMFC) by depositing platinum (Pt) on a membrane using sputtering. After we coated it with a Nafion® ionomer solution. This is considered a solution that can prevent membrane degradation in low humidity conditions. By introducing this self-humidifying concept, we can expect improved performance compared to conventional PEMFCs. By managing the water content of Nafion®, we aim to improve both the stability and performance of the PEMFCs. This research contributes to the development of more efficient and reliable PEMFC systems, showing promise for advances in this field.
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Structural Behavior Analysis of the Proximal Femur after Artificial Hip Joint Implantation at Micro Level
Seung Hun Ryu, Jung Jin Kim
J. Korean Soc. Precis. Eng. 2023;40(11):873-879.
Published online November 1, 2023
DOI: https://doi.org/10.7736/JKSPE.023.054
Total hip replacement is a representative treatment for avascular necrosis of the femoral head. However, the stress shielding caused by the replacement induces dissociation of the artificial hip joint and various complications. Many studies have tried to explore the stress shielding but, most studies have been conducted at macro level and not at micro level. Thus, this study aimed to quantitatively analyze the structural behavior of the proximal femur according to total hip replacement at the micro level to explore the stress shielding. For this purpose, this study selected the artificial hip joint of the single wedge type and implanted the joint into a proximal femur that has a high resolution of 50 μm. Then the structural behavior of the implanted femur was analyzed by comparing that of the intact femur under three daily activity loads. As a result, the high possibility was confirmed that the stress shielding will occur in both cortical and cancellous bones under the one-legged stance movements. Additionally, it was discovered that the cancellous bone had a considerably lesser chance of adducting at an angle similar to the neck shaft angle of an artificial hip joint.
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The Improvement of Roundness and Surface of Sheath & Dilator Catheter Tube
Gyu Ik Lee, Howon Lee, Gyu Man Kim, Woojin Kim, 이은택
J. Korean Soc. Precis. Eng. 2023;40(6):457-465.
Published online June 1, 2023
DOI: https://doi.org/10.7736/JKSPE.023.024
As the market for minimally invasive procedures developed rapidly, there was an increase in the demand for high-precision, high-performance catheter fabrication technology. Sheath and dilator tubes are essential intervention devices for procedures, in which catheters are used and require precise dimensional accuracy, and uniform roundness and surface roughness. Polyethylene is used in sheath and dilator limitation for processability, which causes low melt flow index and side effects. Therefore, in the extrusion process using polyethylene, it is important to study the manufacturing of tubes with improved roundness and surface roughness. In this study, we proposed a calibrator for precise production with an aim to manufacture 5Fr micro-puncture tubes, and studied the changes in the roundness and surface roughness of tubes by changing the cooling water temperature and water disk thickness. As a result, it was found that the cooling water temperature and wafer disk thickness had an effect on the roundness and surface roughness, and the roundness had an effect on the formation of the wall thickness. Therefore, these experimental results were used as a study for the production of improved Sheath and Dilator tubes.
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Development of 5-axis Force/Moment Sensor of Gripper to Recognize the Position of an Object within the Gripper
Jin Kim, Gab-Soon Kim
J. Korean Soc. Precis. Eng. 2023;40(5):415-422.
Published online May 1, 2023
DOI: https://doi.org/10.7736/JKSPE.022.139
In this paper, we describe the development of a 5-axis force/moment sensor of an intelligent gripper designed to grasp the weight of an unknown object and the position of the object in the gripper. The 5-axis force/moment sensor consists of an Fx force sensor, Fy force sensor, and Fz force sensor to measure weight, along with an Mx moment sensor and Mz moment sensor to determine the position of an object in the gripper. These sensors are all built within a single body. Each sensor sensing part of the 5-axis force/moment sensor was newly modeled and custom designed using software, and each sensor was manufactured by attaching a strain gauge. The results of the characteristic test of the fabricated 5-axis force/moment sensor showed that the rated output error was within 0.1%, the reproducibility error was within 0.05%, and the nonlinearity error was within 0.04%. Therefore, the 5-axis force/moment sensor developed in this paper can be attached to an intelligent gripper and be used to grasp the weight of an unknown object as well as the position of the object in the gripper.

Citations

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  • Design of a Three-Finger Gripper Capable of Gripping Irregular Objects
    Je-hyeon Kim, Gab-Soon Kim
    Journal of the Korean Society of Manufacturing Process Engineers.2023; 22(8): 41.     CrossRef
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2-D Topology Optimization of the Connection Part of the Electric Kickboard in Case of Front Collision
Min Gyu Kim, Ji Sun Kim, Jung Jin Kim
J. Korean Soc. Precis. Eng. 2022;39(11):841-848.
Published online November 1, 2022
DOI: https://doi.org/10.7736/JKSPE.022.068
Electric kickboards provide personal mobility with a simple structure and easy operation. With these advantages, the number of users is increasing annually. However, as the number of users of electric kickboards increases, related accidents are also increasing. To prevent accidents, this study proposes the topological optimization of an electric kickboard connecting part to improve structural strength during a front collision. The results confirmed that as the volume fraction increased, the structure connecting the board and the bottom of the handle support changed to a toroidal shape, thereby lowering the maximum stress and improving the uniformity of the stress distribution. In addition, the topological optimization was safer than the connecting parts of two typical electric kickboards sold in the Korean market. These findings can contribute to improving the safety and optimizing the design direction of electric kickboards.

Citations

Citations to this article as recorded by  Crossref logo
  • Two-Dimensional Topology Optimization of Headtube in Electric Scooter Considering Multiple Loads
    Min Gyu Kim, Jun Won Choi, Jung Jin Kim
    Applied Sciences.2025; 15(5): 2829.     CrossRef
  • Personalized Stem Length Optimization in Hip Replacement: A Microscopic Perspective on Bone—Implant Interaction
    Su Min Kim, Jun Won Choi, Jung Jin Kim
    Bioengineering.2024; 11(11): 1074.     CrossRef
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