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Experimental Evaluation of Percussion Performance for Rock-Drill Drifter
Seo, Jaho,Park, Jin-Sun,Kim, Heungsub,Noh, Dae Kyung Korean Society for Agricultural Machinery 2015 바이오시스템공학 Vol.40 No.1
Purpose: The objective of this study was to understand the operating mechanism of the rock-drill drifter, to explain how to setup an experimental test system and measure the strain of the drifter's rod, and to evaluate the drifter's performance with respect to the impact energy and blow frequency. Methods: The structure of the rock-drill drifter and its operating principle regarding the impact process were analyzed. Static calibration was carried out to calculate the correction factor using a drifter rod as the first step of the experimental test. The impact energy and blow frequency were then calculated based on strain measurements of the drifter's rod. Results: Experimental results showed that the tested drifter elicited a blow frequency of 3330 BPM (Blows Per Minute) and generated impact energy of 170 J/blow. This indicates that the drifter elicits a higher percussion speed and results in a lower impact energy compared to the hydraulic breaker at the same input power. Conclusions: The study proposed methodologies that deal with the experimental setup and the evaluation of the performance of the rock-drill drifter. These methodologies can be extensively used for validating and improving the percussion performance of the drilling equipment.
Thermal Management in Laminated Die System
Seo, Jaho,Khajepour, Amir,Huissoon, Jan P. 제어로봇시스템학회 2014 Transaction on control, automation and systems eng Vol.12 No.4
The thermal control of a die is crucial for the development of high efficiency injection moulds. For an effective thermal management, this research provides a strategy to identify a thermal dynamic model and to design a controller. The neural network techniques and finite element analysis enable modeling to deal with various cycle-times for moulding process and uncertain dynamics of a die. Based on the system identification which is experimentally validated using a real system, controllers are designed using fuzzy-logic and self-tuning PID methods with backpropagation and radial basis function neural networks to tune control parameters. Through a comparative study, each controller's performance is verified in terms of response time and tracking accuracy under different moulding processes with multiple cycle-times.
Development of Steering Control Algorithms with Self-tuning Fuzzy PID for All-terrain Cranes
Jaho Seo,Moohyun Cha,Kwangseok Oh,Young-Jun Park,Tae J. Kwon 제어로봇시스템학회 2020 제어로봇시스템학회 국제학술대회 논문집 Vol.2020 No.10
The study deals with the design of control algorithms to enhance the steering performance of all-terrain cranes. For this, its hydraulic steering system was modeled using a multiphysics simulation tool and the self-tuning fuzzy PID controller was developed to control hydraulic steering actuators with nonlinearities. The designed control algorithm was validated through co-simulation using a real-time simulator and showed satisfactory performance.
SEO JAHO,노대경,이근호,장주섭 한국정밀공학회 2016 International Journal of Precision Engineering and Vol.17 No.2
The drifter is one of the main components that play a significant role in the percussion capability of the rock drill. The authors of the paper identified the operating mechanism of the drifter and developed an analysis model for the purpose of improving the percussion capability of the rock drill. The authors of this paper also validated the reliability of the analysis model through a comparative study between the analysis results and the results of the experimental tests and utilized the validation results to understand the main factors wielding effects on blow frequency and impact energy.
전지형 크레인 조향제어 알고리즘 개발 및 연성해석 기반의 성능평가
서자호(Jaho Seo),이근호(Geun Ho Lee),오광석(Kwangseok Oh) 대한기계학회 2017 大韓機械學會論文集A Vol.41 No.5
본 연구의 목적은 120톤급 전지형 크레인의 조향성능 향상을 위한 제어 알고리즘의 개발이다. 이를 위해 AMESim 소프트웨어를 이용하여 전지형 크레인의 유압조향시스템을 모델링하고, PID 기반의 조향제어용 제어기를 MATLAB/Simulink 환경에서 설계하였다. 설계된 제어기의 성능은 실시간 시뮬레이터를 활용한 유압 및 제어 모델간 연성해석을 통하여 검증하였다. The goal of this study was to develop control algorithms to improve the steering performance of a 120-ton all-terrain crane. To accomplish this, a hydraulic steering system for the crane was modeled using AMESim software, and a PID steering control algorithm was designed in the MATLAB/Simulink environment. The performance of the designed controller was verified through multiphysics co-simulations based on a real-time simulator.