• 제목/요약/키워드: 조선해양

검색결과 1,243건 처리시간 0.023초

차세대 한국형 어선의 저항성능 최적화를 위한 수조모형시험 연구 (An Experimental Study on the Optimization of Stern Appendix for New Generation Korean Fishing Vessels)

  • 이민경;김수진;유진원;이인원
    • 대한조선학회논문집
    • /
    • 제58권1호
    • /
    • pp.32-39
    • /
    • 2021
  • Korean coastal fishery suffers from profitability degradation due to a decrease in fisheries resources, pollution in coastal waters, fuel coast increase, and market opening for aquaculture products. The next generation Korean fishing vessel aims at the improvement of energy efficiency, enhancement of crew welfare, and safety. These purposes can be accomplished by adopting a new standard hull form with improved resistance performance and a modernized residence facility on the deck. In order to improve resistance performance, this study attempts to optimize design variables for stern flaps for three kinds of fishing vessels - coastal multi-purpose, coastal trap, and dredged nets. A series of model tests for these fishing vessels was carried out in the towing tank of Pusan National University. The results indicate that for some cases, the stern flap caused the stern trim of the vessel to decrease, leading to the resistance reduction.

KVLCC2의 자항성능 개선을 위한 Post-Device 최적화 연구 (Study on Optimization of Post-Device for Self-Propulsion Performance Improvement of KVLCC2)

  • 김현웅;김문찬;강진구;윤택근
    • 대한조선학회논문집
    • /
    • 제57권6호
    • /
    • pp.381-387
    • /
    • 2020
  • According to the increase of concern for environmental problems, the energy saving becomes an important issue because it is one of the most effective methods of decreasing CO2 which is major environmental problem. In the present study, the post device after propeller related with rudder has been focussed. Recently the full-spade twisted rudder has been frequently used not only to increase the efficiency but also to remove the cavitation risk on leading edge. In addition to that the rudder bulb is also applied to the rudder to increase the propulsion efficiency as well as to minimize the cavitation erosion risk around twisting part. The parametric study has been conducted for investigating the optimum configuration of twisting rudder with bulb by CFD. The present optimization has been applied to the KVLCC2 full-body ship. The verification of the computed results is also expected to be conducted by the comparison with experimental results in the near future.

이미지 인페인팅을 활용한 레이다 이미지 노이즈 제거 (Noise Removal of Radar Image Using Image Inpainting)

  • 전동민;오상진;임채옥;신성철
    • 대한조선학회논문집
    • /
    • 제59권2호
    • /
    • pp.118-124
    • /
    • 2022
  • Marine environment analysis and ship motion prediction during ship navigation are important technologies for safe and economical operation of autonomous ships. As a marine environment analysis technology, there is a method of analyzing waves by measuring the sea states through images acquired based on radar(radio detection and ranging) signal. However, in the process of deriving marine environment information from radar images, noises generated by external factors are included, limiting the interpretation of the marine environment. Therefore, image processing for noise removal is required. In this study, image inpainting by partial convolutional neural network model is proposed as a method to remove noises and reconstruct radar images.

합성곱신경망을 활용한 과구동기 시스템을 가지는 소형 무인선의 추진기 고장 감지 (Fault Detection of Propeller of an Overactuated Unmanned Surface Vehicle based on Convolutional Neural Network)

  • 백승대;우주현
    • 대한조선학회논문집
    • /
    • 제59권2호
    • /
    • pp.125-133
    • /
    • 2022
  • This paper proposes a fault detection method for a Unmanned Surface Vehicle (USV) with overactuated system. Current status information for fault detection is expressed as a scalogram image. The scalogram image is obtained by wavelet-transforming the USV's control input and sensor information. The fault detection scheme is based on Convolutional Neural Network (CNN) algorithm. The previously generated scalogram data was transferred learning to GoogLeNet algorithm. The data are generated as scalogram images in real time, and fault is detected through a learning model. The result of fault detection is very robust and highly accurate.

방사선 투과 이미지에서의 용접 결함 검출을 위한 딥러닝 알고리즘 비교 연구 (Comparative Study of Deep Learning Algorithm for Detection of Welding Defects in Radiographic Images)

  • 오상진;윤광호;임채옥;신성철
    • 한국산업융합학회 논문집
    • /
    • 제25권4_2호
    • /
    • pp.687-697
    • /
    • 2022
  • An automated system is needed for the effectiveness of non-destructive testing. In order to utilize the radiographic testing data accumulated in the film, the types of welding defects were classified into 9 and the shape of defects were analyzed. Data was preprocessed to use deep learning with high performance in image classification, and a combination of one-stage/two-stage method and convolutional neural networks/Transformer backbone was compared to confirm a model suitable for welding defect detection. The combination of two-stage, which can learn step-by-step, and deep-layered CNN backbone, showed the best performance with mean average precision 0.868.

육상시추용 드릴링 추진체의 실증시험 데이터를 활용한 전산구조해석에 관한 연구 (A Study on the Computational Structural Analysis Using the Field Test Data of Onshore Drilling Mud Motor)

  • 박성규;김승찬;권성용;신철순
    • 한국산업융합학회 논문집
    • /
    • 제25권4_2호
    • /
    • pp.603-609
    • /
    • 2022
  • Bottom hole assembly(BHA) is a key component of the drilling system, consisting of various components and tools(including the drill bit and mud motor) which operate at the bottom of the wellbore and physically drill the rock. This paper investigates the dynamic characteristics of the mud motor which is a drilling propulsion tool. And computational structural analysis is performed to calculate the von-Mises stress and the safety factor of components constituting the mud motor. In this process, the field test data of onshore drilling are used for analysis.

한국해양환경을 고려한 부유식 마리나 구조물의 운동성능 향상에 관한 연구 (A Study on the Improvement of the Motion Performance of Floating Marina Structures Considering Korea Coastal Environment)

  • 김동민;허상환;구원철
    • 한국해양공학회지
    • /
    • 제33권1호
    • /
    • pp.10-16
    • /
    • 2019
  • The aim of this study was to improve the vertical motion performance of floating marina structures and to optimize the shapes of the structures for the Korea coastal environment. The floating body is connected to a plate-shaped submerged body through a connecting line under the water that has a stiff spring that serves to reduce the heave response. This system, which has two degrees of freedom, was modelled to analyze the interaction between the floating body and the submerged body. The vertical motion of the two-body system was compared with the motion of a single body to verify that the system could perform as an optimized model.

와류생성기에 의한 선체반류 및 프로펠러 캐비테이션 특성 연구 (Study of Ship Wake Characteristics and the Propeller Cavitation by a Vortex Generator)

  • 설한신;안종우;김건도;박영하;김성표;김기섭
    • 대한조선학회논문집
    • /
    • 제58권1호
    • /
    • pp.10-16
    • /
    • 2021
  • This paper systematically investigates and correlates pressure fluctuation and nominal wake characteristics according to the angle of the vortex generators by introducing the angle adjustment method of the Vortex Generator (VG). The vortex generators are installed at the port and starboard of a model ship. The vortex generator performance test is executed on a model ship installed in the Large Cavitation Tunnel (LCT) and the angle of VG is freely controlled by a servo motor. The systematic test results for the vortex generator show that the well-designed VG is an effective appendage for reducing the pressure fluctuation level and shows the direction of VG's angular design optimization.

조선업 중대재해 분석을 통한 조선업 안전교육 개선에 관한 연구 (A Study on the Improvement of Safety Training of Shipbuilding Industry by Analysis of Serious Accidents in Shipbuilding Industry)

  • 이진우;한철호;이영호
    • 해양환경안전학회지
    • /
    • 제23권7호
    • /
    • pp.858-868
    • /
    • 2017
  • 우리 조선업은 기술적인 분야에서 세계를 선도하는 역할을 수행하고 있으나 조선업에서는 매년 2,000여명의 재해자가 발생하고 있으며, 이중 약 40명은 사망하고 있는 등 근로자의 안전측면에서도 과연 우리 조선업이 세계적인 수준인지는 의문이 들 수밖에 없다. 따라서 이 연구는 국내 조선업에서 2006년~2015년 동안 발생한 중대재해의 통계자료를 고찰하여 조선업 중대재해의 발생현황 및 원인을 분석하고, 조선업 근로자를 대상으로 설문조사를 실시하여 산업현장에서의 안전교육 형태를 분석하였으며, 이를 바탕으로 조선업 안전교육의 문제점을 도출하여 개선방안을 마련하였다. 첫째, 조선소별로 수행하는 안전교육의 종류 및 수준이 상이하거나 교육품질이 미흡한 문제점을 해결하고 체계적으로 교육과정을 운영하기 위해서 조선업 안전훈련 표준체계의 마련이 필요하다. 둘째, 조선업 안전훈련 표준체계를 바탕으로 조선업에 특화된 안전교육과정을 지속적으로 개발하고 표준화하여 조선업 중대재해를 감소시키고 근로자의 안전의식을 향상시킬 필요가 있다. 셋째, 조선업에서의 중대재해를 예방하여 근로자의 안전을 확보하기 위해서는 사업주와 근로자 모두가 적극적으로 안전교육을 수행하고 참여하여 사업장의 안전문화를 형성할 필요가 있다.