The final goal of this study is to secure production efficiency and quality stability by applying simple automation to the dental implant packaging process, and based on this, it is possible to switch to full automation in the future. Design and build a simple automation system centering on core processes with high repeatability and manual weight during the packaging process, and secure empirical data to verify the effectiveness of applying automation. Through this, the key is to realize effects such as improvement of process speed, minimization of manpower input, and cost reduction, and to establish a technical and operational foundation to enable full automation construction by expanding the modularized automation system in the long run. In other words, this study aims to realize a step-by-step automation strategy through the application of realistic simple automation technology and to design a structural system that can be linked to full automation.
Based on the data obtained by converting the existing analog measurement method's gas regulator inspection process to a digital automatic inspection system, this task is to develop a new high-precision gas regulator that minimizes the false verification rate and maximizes safety. Through this, we intend to secure additional export competitiveness and realize entry into the high value-added market.
The pipes are connected by welding the ends so that they face each other, or, to enhance the assembly, a disc-shaped flange is welded to the end of each pipe, and then the flanges are brought into contact with each other and connected so that they can be separated using bolts and nuts. The ends of pipes with an inner diameter of ∅20 to 50 are plastically processed into a flange shape. This allows for the forming of a flange integral with the pipe, and ensures versatility. When forming a flange on a pipe, it can reduce wear due to friction, improve product quality, and increase the life of the device.
In the injection molding industry, the increase in automation equipment is a very important process control items. "Mold opening stroke" is an important item for appearance and functional quality when molding plastic products. In this study, the shrinkage speed (v) of the hydraulic closed-loop control method was increased to 20, 50, 80, and 100% to confirm the relationship between them. The following results were obtained through the experiment. It was found that the accuracy and reproducibility were excellent based on the control item of 110 mm, and it was confirmed through the experiment that when the shrinkage speed was set to 50 and 80%, the measuring distance was 110.0 mm, showing the highest accuracy and reproducibility.
In high-precision manufacturing industries, the use of 5-axis machining centers has been steadily increasing. However, there is a lack of experimental evidence regarding variations in surface roughness depending on the machining path. This study aims to experimentally investigate and analyze how surface roughness is affected by table tilting angles and machining directions in 5-axis machining.
The 30mm wheel type anti-aircraft gun replaces the aging anti-aircraft gun in the front and is a weapon system for local anti-aircraft defense against enemy aircraft and small unmanned vehicles. In the field, damage to the turret hatch/closed hatch pin occurred between the operation of the wheel type anti-aircraft gun. As a result of the sem analysis of the hatch pin fracture surface, it appears that brittleness fracture occurred and fatigue fracture occurred at the final fracture surface while reaching the fatigue strength by repetitive loads. The hatch angle fixing pin and bracket shapes were changed to disperse the stress concentration. As a result of checking the location of the vulnerable area of the hatch pin and the shear stress value through structural analysis, the safety factor improved from 1.46 to 2.95 after improvement. Through this study, it is expected to be used as a reference material for failure analysis and design plan for the existing system in the future.
This study analyzed security weaknesses in triple-factor authentication for IoT-based healthcare systems and proposed improvements. Examining registration, authentication, and session key setup, we found four main vulnerabilities: offline password guessing, user impersonation, session key exposure, and secret key leakage. Recommendations include multi-factor authentication, visual synchronization improvements, side-channel attack prevention, MAC application, and lightweight cryptography. This research provides a basis for secure medical data protection and reliable IoT healthcare environments.
This study analyzed vulnerabilities in a four-factor authentication protocol for IoMT, which uses password, smart card, biometrics, and PUFs. Key weaknesses include biometric protection, key management, session hijacking, and resource constraints. Proposed solutions involve homomorphic encryption, blockchain key management, lightweight and quantum-resistant cryptography, and AI-based adaptive security. This research provides a foundation for improving IoMT security protocol reliability in digital healthcare.
Traditional fingerprint recognition, relying on large datasets and machine learning, often faces accuracy issues due to data heterogeneity and privacy concerns. This study proposes AI-Fed-FR, a novel fingerprint recognition algorithm using explainable AI-based federated learning to enhance accuracy while ensuring privacy. AI-Fed-FR improves global model performance by iteratively aggregating parameters from user devices and employs explainable AI for denoising low-resolution fingerprint images. A storage sampling-based client scheduling technique addresses client imbalance. Experiments on three real-world datasets show AI-Fed-FR achieving 5.32% higher accuracy than local learning and 8.56% higher than average-based federated learning.
Recently many products with gorgeous 3D patterns on the surface have been released as a kitchenware trend, and in particular, research is actively being conducted to implement 3D patterns and designs. Among them, 3D pattern ceramic technology using magnetic ceramic materials has the advantage of easily implementing 3D patterns using neodymium magnets and electromagnet jigs. However, there is a problem that there is a limit to the accurate shape implementation because the strength of the magnetic field varies depending on the size, shape, and arrangement of the magnets mounted on the jig. In this study, we conducted a study on the change in the magnetic field generated according to the gap distance between the jig and the frying pan. As a result, it can be seen that the closer the gap distance, the greater the strength of the magnetic field formed on the frying pan. When the gap distance is 0mm, a magnetic field strength of 15320G is formed, and when it is 4mm, it is half, 7660G, and when it is 10mm or more, it is formed close to 0G. Therefore, it was found that when the gap distance was 10mm or more, no magnetic field was formed inside the frying pan, and it was expected that the magnetic particles would form a 3D shape inside the frying pan at around 0 to 4mm.
In the MR fluid Jet polishing process, the viscosity characteristics of the jetted MR fluid depend on the strength of the magnetic field, which is one of the important factors. Also, the yield stress of the MR fluid increases depending on the strength of the magnetic field, which affects the material removal rate and surface roughness of the workpiece. Therefore, a study was conducted to manufacture the optimal electromagnet part through electromagnet design and analysis. It was confirmed that the magnetic field strength at the front of the electromagnet was 6624.3G, 8554.6G at the half point of the center of the electromagnet, and 6543G at the middle of the electromagnet, and that the area where the magnetic field was most concentrated in the nozzle discharge area was the half point of the center. It was also confirmed that the magnetic field distribution was concentrated in the high-pressure nozzle at the half point of the center of the electromagnet. Through this, it is expected that the MR fluid will be able to have a sufficient magnetic field effect on the MR fluid while passing through the high-pressure nozzle at a high speed.
This study investigates the fluid dynamic characteristics of a magnetorheological (MR) fluid injection system that integrates water jet and MR polishing technologies. The system functions by applying a magnetic field to MR fluid sprayed at high velocity from a nozzle, enabling precision surface finishing. Process variable parameters including injection pressure, velocity, and flow rate significantly influence the polishing performance. It was found that even with a strong and dense magnetic field, unstable injection leads to unpredictable process. Therefore, a fluid dynamic analysis was performed to determine the relationship between the injection variables and the pressure conditions occurring during injection. Based on this analysis, a hydraulic system capable of maintaining stable MR fluid injection was designed and evaluated. The findings of this study contribute to improving the reliability and efficiency of MR-based polishing processes through enhanced control of fluid dynamics.
This study evaluated the industrial applicability of a non-destructive measurement method based on impression materials for complex internal geometries. Using Hydrophilic Vinyl Polysiloxane impression material and a Mitutoyo optical projector, repeated measurements (total 60 data points) were taken on dovetail groove samples. A Gage R&R analysis showed %EV at 12.75%, %AV at 5.5%, and %GRR at 13.9%, indicating conditionally acceptable reliability according to AIAG criteria. The results confirm the method's practical potential for industrial use, with opportunities for repeatability improvement. Future integration with digital imaging and AI edge-detection technologies is expected to further enhance automated precision measurement capabilities.
In this study, structural durability enhancement of the fuel tank support bracket for a KMTV was investigated. During the component-level durability test, a fracture was observed at approximately 250,000 cycles under a target of 570,000 cycles, indicating the need for structural reinforcement. To address this issue, a reinforced bracket was designed. Durability analysis was conducted using finite element modeling, with only the bracket geometry changed while maintaining consistent boundary condition. The analysis results showed that the reinforced design achieved a durability life approximately 15 to 16 times longer than the original bracket. These findings demonstrate the effectiveness of the reinforcement design in significantly improving fatigue life under repetitive load condition. Future work includes vehicle-level endurance testing to validate the correlation between simulation results and actual performance, as well as further refinement of the design based on various operational conditions.