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"Dynamic"

Regulars

Lightweight Design and Dynamic Verification of Multi-layer Sarrus Deployable Structures for Rotor-sail under Centrifugal Loading
Chan Kim, Sun-Pill Jung, JangGil Kim, Kyu-Jin Cho
J. Korean Soc. Precis. Eng. 2025;42(12):1099-1106.
Published online December 1, 2025
DOI: https://doi.org/10.7736/JKSPE.025.109
This study presents a vertically deployable rotor-sail structure utilizing multi-layer Sarrus linkages. The structure fully extends during sailing to maximize Magnus lift and compresses to less than half its length for docking. An analytical beam model integrates link thickness, mid part spacing, and centrifugal loading to predict deflection and mass. Parametric comparisons of two-layer, six-layer, and twelve-layer configurations reveal that the twelve-layer design reduces structural mass by 90% while meeting an L/1000 deflection limit. Dynamic simulations using RecurDyn confirm that mid part segmentation decreases damping time and reduces peak stress, thus enhancing deployability and mechanical reliability. The findings offer quantitative design guidance for high-speed rotating deployable structures.
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Study on Fatigue Life Prediction of Crossed Roller Bearings
Gilbert Rivera, Dong-Hyeok Kim, Dong Uk Kim, Seong-Wook Hong
J. Korean Soc. Precis. Eng. 2025;42(12):1088-1098.
Published online December 1, 2025
DOI: https://doi.org/10.7736/JKSPE.025.097
This paper presents a method for estimating the fatigue life of crossed roller bearings (XRBs). XRBs feature a single row of rollers arranged alternately at right angles, making them ideal for applications that require high precision and a compact design. In rolling-element bearings, fatigue life is a crucial design parameter for ensuring long-term reliability and performance. However, existing fatigue life estimation models for XRBs in the literature are limited to basic rating life, with no models available for reference rating life. To address this gap, we developed a comprehensive fatigue life prediction model specifically for XRBs. We formulated a corresponding dynamic load rating to align with the values provided by bearing manufacturers and calibrated an unknown adjustment factor for XRBs using a commercial program. Additionally, a parametric study was conducted to investigate the impact of varying diametral clearance, external loads, roller dimensions, and roller profile parameters on the fatigue life of XRBs.
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Special

Comparative Study of CO2 Diffusion in Multiple Metal-organic Frameworks via Neural Network Potential Molecular Dynamics Simulation
JeongMin Shin, Sangbaek Park, JinHyeok Cha
J. Korean Soc. Precis. Eng. 2025;42(12):1057-1063.
Published online December 1, 2025
DOI: https://doi.org/10.7736/JKSPE.025.00016
Carbon capture and storage is a vital strategy for mitigating rising atmospheric carbon dioxide, and metal–organic frameworks (MOFs) have gained attention as promising sorbents. Numerous simulations have examined factors governing CO2 capture in MOFs—such as diffusion in MOF-74 under varying temperatures and process modeling of MOF-5—but most were limited to specific structures or conditions, hindering a systematic understanding of diffusion across diverse MOFs. Conventional computational methods also face constraints: density functional theory mainly provides static energy evaluations, while molecular dynamics relies on fixed force fields with poor transferability and an inability to describe reactive events. To overcome these limitations, this study employs molecular dynamics simulations driven by neural network potentials to evaluate CO2 diffusivity in 17 types of MOFs. Results reveal significant variation in transport behavior, with zeolitic-imidazolate framework-3 showing the highest diffusivity and MOF-74 the lowest—an approximately 19-fold difference. These findings highlight the capability of neural-network-based molecular dynamics to deliver consistent and quantitative assessments of CO2 transport in MOFs, providing a reliable framework for the rational design of next-generation capture materials.
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REGULARs

Dynamic Characteristic-based Driving Performance Analysis of a Semi-active Suspension Wheel Module for Small Mobile Robots
Seoyeon Park, Sungjae Kim, Juhyun Pyo, Murim Kim, Jin-Ho Suh
J. Korean Soc. Precis. Eng. 2025;42(11):919-926.
Published online November 1, 2025
DOI: https://doi.org/10.7736/JKSPE.025.069

This study details the development of a semi-active suspension wheel module for small mobile robots and assesses its dynamic characteristics under various driving conditions through simulation. The wheel module features a low-degree-of-freedom mechanical design and includes a semi-active damper to improve adaptability to different environments. To validate the simulation model, a prototype robot equipped with the wheel module was created, and obstacle-crossing experiments were conducted to measure vertical acceleration responses. The model was then refined based on these experimental results. By employing design of experiments and optimization techniques, the effective range of damping coefficients was estimated. Additionally, simulations were carried out at different speeds, payloads, and obstacle heights to identify optimal damping values and examine their trends. The results indicate that the proposed module significantly enhances driving stability and can serve as a foundation for future control strategies in robotic mobility systems.

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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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Aerodynamic Flow Characteristics Inducing Centrifugal Compressor Noise Generation in High-speed Turbomachinery
Jihun Song, Chang Ho Son, Dong-Ryul Lee
J. Korean Soc. Precis. Eng. 2025;42(9):763-770.
Published online September 1, 2025
DOI: https://doi.org/10.7736/JKSPE.025.088

Centrifugal compressor is a device that converts kinetic energy to increase the air pressure. It rotates at a high speed of up to 200,000 RPM and directly affects aerodynamic noise. Various studies have already been conducted, but the direct calculation method of acoustics based on the unsteady solution is inefficient because it requires a lot of resources and time. Therefore, flow characteristics and numerical comparison according to various aerodynamic factors predicted as a cause of noise generation were analyzed in this study based on the steady solution. High-frequency noise was calculated locally near the asymmetric flow properties. Vortex and turbulent kinetic energy were generated at similar locations. Among static components, a large-sized vortex of 3.48×107 s-1 was distributed at the location where the rotational flow around the compressor wheel combined with the inlet suction flow. In addition, a locally high vortex of 8.16×105 s-1 was distributed around the balancing cutting configurations that cause asymmetric flow characteristics. Analysis of these factors and causes that directly affect noise can be efficiently improved in the pre-design stage. Therefore, the efficient design methodology for centrifugal compressors that considers both performance and noise is expected based on the results of this study.

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Articles
Dynamic Characteristics of Janus Drop Impact on the Inner Surfaces of Cylinders
Sungchan Yun
J. Korean Soc. Precis. Eng. 2025;42(8):665-672.
Published online August 1, 2025
DOI: https://doi.org/10.7736/JKSPE.025.067
This study numerically investigates the spreading and retracting dynamics of Janus drops on the inner surfaces of cylinders using the Volume of Fluid method. The results indicate that increasing surface curvature enhances spreading in the axial direction and promotes the detachment of the low-viscosity water component, particularly under conditions of high viscosity ratio and Weber number. A regime map is constructed to identify the critical conditions for separation, revealing that surfaces with intermediate curvature exhibit higher separation efficiency compared to those with high curvature. The temporal evolution of axial momenta in the x and z directions highlights the role of viscosity contrast in inducing asymmetric deformation. A scaling law for residence time is proposed as a function of Weber number, which aligns well with simulation results in the high Weber number regime. These findings provide fundamental insights for optimizing surface curvature and fluid composition to enhance drop separation and may benefit applications such as selective liquid extraction, surface cleaning, and microfluidic manipulation.
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Calculation of Flight Loads and Structural Robustness Analysis of Aircraft External Stores Considering Low Speed Rotorcraft Installation
Ji Hwan Park, Chang Bong Ban, Jong Hwan Kim, Sun Kyu Ahn
J. Korean Soc. Precis. Eng. 2025;42(8):613-620.
Published online August 1, 2025
DOI: https://doi.org/10.7736/JKSPE.025.040
External stores on low-speed rotorcraft are subjected to various external forces depending on the aircraft's operating conditions. While there are different types of external forces, this paper focuses on flight loads as defined by US defense specifications. Flight loads consist of static and dynamic loads. Static loads on aircraft external stores include inertial loads resulting from aircraft maneuvers and aerodynamic loads caused by the downward flow of the main wing. To define the inertial load, the inertial load factor on external stores was calculated, while the minimum analysis case for aerodynamic load was derived from trim analysis of rotorcraft blades. The critical design load diagram was developed by combining these factors, and ANSYS was utilized to analyze the structural robustness under static loads. Based on the characteristics of the main wing, a finite element analysis was conducted using a vibration profile tailored to the actual operating environment and an impact profile suitable for the impact conditions. Structural robustness was further assessed through actual tests. This analysis provides essential data for airworthiness certification, allowing for the safe installation of external stores on low-speed rotorcraft.
  • 56 View
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Optimal Input Selection for Neural Networks in Ground Reaction Force Estimation based on Segment Kinematics: A Pilot Study
Chang June Lee, Jung Keun Lee
J. Korean Soc. Precis. Eng. 2025;42(7):565-573.
Published online July 1, 2025
DOI: https://doi.org/10.7736/JKSPE.025.022
3D ground reaction force (GRF) estimation during walking is important for gait and inverse dynamics analyses. Recent studies have estimated 3D GRF based on kinematics measured from optical or inertial motion capture systems without force plate measurement. A neural network (NN) could be used to estimate ground reaction forces. The NN network approach based on segment kinematics requires the selection of optimal inputs, including kinematics type and segments. This study aimed to select optimal input kinematics for implementing an NN for each foot’s GRF estimation. A two-stage NN consisting of a temporal convolution network for gait phase detection and a gated recurrent unit network was developed for GRF estimation. To implement the NN, we conducted level/inclined walking and level running on a force-sensing treadmill, collecting datasets from seven male participants across eight experimental conditions. Results of the input selection process indicated that the center of mass acceleration among six kinematics types and trunk, pelvis, thighs, and shanks among 15 individual segments showed the highest correlations with GRFs. Among four segment combinations, the combination of trunk, thighs, and shanks demonstrated the best performance (root mean squared errors: 0.28, 0.16, and 1.15 N/kg for anterior-posterior, medial-lateral, and vertical components, respectively).
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A Study for Autonomous Driving Algorithm of a Mobile Electric Charging System in Parking Area
Dayoung Kim, Jungsub Choi, Seong-yeol Yoo
J. Korean Soc. Precis. Eng. 2024;41(9):713-718.
Published online September 1, 2024
DOI: https://doi.org/10.7736/JKSPE.024.033
With the increasing severity of global warming, there is a growing need for eco-friendly vehicles to reduce greenhouse gas emissions. However, the expansion of charging infrastructure is struggling to keep up with the rising number of electric vehicles due to space constraints and installation costs. This paper aims to address this issue by proposing an autonomous driving algorithm for a mobile robot-based movable charging system for electric vehicles, as an alternative to traditional stationary charging stations. Our paper introduces a rule-based path planning algorithm for autonomous robot-based charging systems. To achieve this, we employ the A* (A-star) algorithm for global path planning towards the charging request position, while utilizing the Dynamic Window Approach (DWA) algorithm for generating avoidance paths around obstacles in the parking lot. The avoidance path generation algorithm differentiates between dynamic and static obstacles, with specific algorithms formulated for each type of obstacle. Finally, we implement the suggested algorithm and verify its performance through simulation.
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A Numerical Investigation of Deformed Region in Plate Specimen of Split-Hopkinson Tensile Bar
Byeongjin Park, Yeon-Bok Kim, Jeong Kim
J. Korean Soc. Precis. Eng. 2024;41(8):607-615.
Published online August 1, 2024
DOI: https://doi.org/10.7736/JKSPE.024.025
In Hopkinson bar theory, stress, strain, and strain rate can be determined by analyzing the dimensions of the specimen. When conducting Split-Hopkinson Pressure Bar (SHPB) experiments, the stress-strain curve is obtained by considering the entire length and width of the specimen. However, in Split-Hopkinson Tensile Bar (SHTB) experiments, it is important to only consider the regions where deformation occurs in order to accurately determine the dynamic material properties. This study introduces a method for selecting the dimensions of the deformed region (LD and WD) in plate specimens for SHTB experiments using Finite Element Analysis (FEA). The analysis involved varying the length and width of a 1 mm thick SUS430 specimen, and the deformed region was determined using the proposed method. The stress-strain curves obtained from this region were then compared with the input Cowper-Symonds model. The validity of the proposed approach was confirmed, as the percentage error between them ranged from 2.54 to 6.62%.
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A Study on Improvement of Flow Characteristics of TPMS Heat Exchanger based on Mathematical Filtering
Seo-Hyeon Oh, Jeong Eun Kim, Ji Seong Yun, Do Ryun Kim, Jungwoo Kim, Chang Yong Park, Keun Park
J. Korean Soc. Precis. Eng. 2024;41(7):541-550.
Published online July 1, 2024
DOI: https://doi.org/10.7736/JKSPE.024.034
Recent advancements in additive manufacturing (AM) have made it possible to create compact heat exchangers (HXs) with complex geometries. This study introduces a new approach that uses Triply Periodic Minimal Surface (TPMS)-based designs for HXs. Mathematical filtering techniques are incorporated to optimize the local morphology changes. The goal of the proposed mathematical filtering method is to improve the flow characteristics and heat exchange capability of TPMS HXs by modifying the structure’s morphology at the inlet and outlet regions. This modification facilitates flow selection and reduces pressure drop. The HX design includes cylindrical flow domains at the inlet and outlet regions. Three different HX designs with varying inlet/outlet domains (through-hole, half-hole, and taper-hole) were fabricated using polymer AM and DLP 3D printing. These designs were then tested for pressure drop. Among the three designs, the taper-hole configuration showed the best flow characteristics, with a 50% reduction in pressure drop compared to previous studies. The taper-hole design was then replicated using metal AM technology, resulting in a 70-125% improvement in heat exchange capacity compared to previous studies.

Citations

Citations to this article as recorded by  Crossref logo
  • Multifunctional gradations of TPMS architected heat exchanger for enhancements in flow and heat exchange performances
    Seo-Hyeon Oh, Jeong Eun Kim, Chan Hui Jang, Jungwoo Kim, Chang Yong Park, Keun Park
    Scientific Reports.2025;[Epub]     CrossRef
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  • Crossref
Improvement of Nozzle Tip Performance for Noncontact Medical Ultrasonic Mist Spraying
Seung Hyeok Jung, Jong Hyeok Jeon, Ji Young Won, Sung Min Kim, Hong Seok Lim
J. Korean Soc. Precis. Eng. 2024;41(6):489-496.
Published online June 1, 2024
DOI: https://doi.org/10.7736/JKSPE.024.042
Chronic wounds necessitate periodic treatment and management due to their potential for serious complications. Recently, ultrasonic mist therapy has been introduced to treat chronic wounds efficiently. This therapy requires a noncontact spraying method to prevent side effects such as bacterial infections and pain. Therefore, research is needed on a spray nozzle tip that can effectively transmit ultrasonic energy to the wound target with misted cleaning solution mobility in a specific direction and at an appropriate speed. The performance of the nozzle tip is greatly affected by the flow characteristics inside it. Computational fluid dynamics (CFD) is a powerful tool to analyze these characteristics in detail. The behavior of the mist was analyzed in a simulation based on discrete phase model methodology in an unsteady state. Valid design parameters enabling noncontact cleaning were determined by setting the design parameters of the nozzle tip`s internal flow path and measuring the spraying speed of the mist using CFD analysis. Through the simulation results, information on the sprayed skin surface and spray characteristics are measured. Lastly, we present a nozzle tip design guide optimized for ultrasonic mist therapy.
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Development of an EEG-based Gait Recognition Classification CNN-BiLSTM Model for Brain-Computer Interfaces (BCI)
Seohyun Lee, Yoonsung Jang, Hyunju Lee, Kisik Tae
J. Korean Soc. Precis. Eng. 2024;41(6):481-488.
Published online June 1, 2024
DOI: https://doi.org/10.7736/JKSPE.024.040
Brain-computer interface (BCI) is a technology used in various fields to analyze electroencephalography (EEG) signals to recognize an individual"s intention or state and control a computer or machine. However, most of the research on BCI is on motor imagery, and research on active movement is concentrated on upper limb movement. In the case of lower limb movement, most of the research is on the static state or single movements. Therefore, in this research, we developed a deep-learning model for classifying walking behavior(1: walking, 2: upstairs, 3: downstairs) based on EEG signals in a dynamic environment to verify the possibility of classifying EEG signals in a dynamic state. We developed a model that combined a convolutional neural network (CNN) and a bidirectional long short-term memory (BiLSTM). The model obtained an average recognition performance of 82.01%, with an average accuracy of 93.77% for walking, 76.52% for upstairs, and 75.75% for downstairs. It is anticipated that various robotic devices aimed at assisting people with disabilities and the elderly could be designed in the future with multiple features, such as human-robot interaction, object manipulation, and path-planning utilizing BCI for control.
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Development of Real-time Remote Driving Simulator based on Multi-body Dynamics
Suhyun Park, Jeonghyun Sohn, Xiangqian Zhu
J. Korean Soc. Precis. Eng. 2024;41(6):473-480.
Published online June 1, 2024
DOI: https://doi.org/10.7736/JKSPE.024.029
Autonomous robots are commonly operated on rough roads. Thus, it is essential to predict their dynamic characteristics. Even though it is possible to use real hardware to acquire a robot’s dynamic characteristics, this requires a significant amount of time and cost. Therefore, a real-time remote driving simulator must be developed to reduce these risks. Most real-time simulators employ physics engines, which are calculated using simple functional expressions based on particles. However, in this case, there is a limit to reflecting the dynamic characteristics of actual robots. In this study, a multi-body dynamic model of a robot was established. MATLAB Simulink was used to connect the vehicle model with the joystick and calculate user input signals. The PID control system determines the driving torque of the robot to satisfy the calculated signal. Gain value optimization is performed to enable real-time control. This study can be available to analyze the traversability.
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