• Title/Summary/Keyword: DO 최적화

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Case of Dynamic Performance Optimization for Hydraulic Drifter (유압 드리프터의 동적성능 최적화 사례)

  • Noh, Dae-kyung;Lee, Dae-Hee;Jang, Joo-Sup;Yun, Joo-Seop;Lee, Dong-Won
    • Journal of the Korea Society for Simulation
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    • v.28 no.2
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    • pp.35-48
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    • 2019
  • Domestic hydraulic drifters till now have been developed by benchmarking products from overseas leading companies. However, they do not have excellent impact performance as they are not suitable for characteristics (large flow rate and low pressure) of Korean hydraulic drill power pack, and therefore, research on the optimum design has not made much headway. This study performs multi-objective function optimization for hydraulic drifters whose capacity has been redesigned to deal with the large flow rate, and also with the help of this function, it aims to improve impact power and reduce supply and surge pressure. A summary of the research study is as follows: First, we set goals for improving impact power, supply pressure, and surge pressure, and then perform multi-objective function optimization on them. After that, we secure the reliability of the optimized analytical model by comparing the test results of the prototype built by the optimized design with the analysis results of the analytical model. This study used SimulationX, that is the hydraulic system analysis software, and EasyDesign, which is a multi-objective function optimization program. Through this research, we have achieved the results that satisfy the goal of developing high power drifters suitable for Korean type hydraulic drills.

Evaluation of Human Demonstration Augmented Deep Reinforcement Learning Policies via Object Manipulation with an Anthropomorphic Robot Hand (휴먼형 로봇 손의 사물 조작 수행을 이용한 사람 데모 결합 강화학습 정책 성능 평가)

  • Park, Na Hyeon;Oh, Ji Heon;Ryu, Ga Hyun;Lopez, Patricio Rivera;Anazco, Edwin Valarezo;Kim, Tae Seong
    • KIPS Transactions on Software and Data Engineering
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    • v.10 no.5
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    • pp.179-186
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    • 2021
  • Manipulation of complex objects with an anthropomorphic robot hand like a human hand is a challenge in the human-centric environment. In order to train the anthropomorphic robot hand which has a high degree of freedom (DoF), human demonstration augmented deep reinforcement learning policy optimization methods have been proposed. In this work, we first demonstrate augmentation of human demonstration in deep reinforcement learning (DRL) is effective for object manipulation by comparing the performance of the augmentation-free Natural Policy Gradient (NPG) and Demonstration Augmented NPG (DA-NPG). Then three DRL policy optimization methods, namely NPG, Trust Region Policy Optimization (TRPO), and Proximal Policy Optimization (PPO), have been evaluated with DA (i.e., DA-NPG, DA-TRPO, and DA-PPO) and without DA by manipulating six objects such as apple, banana, bottle, light bulb, camera, and hammer. The results show that DA-NPG achieved the average success rate of 99.33% whereas NPG only achieved 60%. In addition, DA-NPG succeeded grasping all six objects while DA-TRPO and DA-PPO failed to grasp some objects and showed unstable performances.

Location of Auto Transformer in AC AT Feeding System (교류 AT 급전계통에서의 단권변압기 설치위치의 최적화)

  • Han, M.S.;Lee, J.M.
    • Proceedings of the KIEE Conference
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    • 2002.07b
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    • pp.1248-1250
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    • 2002
  • AC AT feeding system is possible to do the long distance feeding due to compensate the voltage drop. Nowaday this is a typical and efficient type all over the world in high speed train and heavy transport capacity. Normally a Auto-transformer is installed at regular internal (5 to 10km) between Substation and Sectioning post, this study is reviewed the voltage drop according to train movement and the optimal location of auto transformer, and provided the efficient feeding configuration.

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Optimization of Groove Sizing in CMP using CFD (CFD를 이용한 CMP의 Groove Sizing 최적화)

  • Jang, Ji-Hwan;Lee, Do-Hyung
    • Proceedings of the KSME Conference
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    • 2004.11a
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    • pp.1522-1527
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    • 2004
  • In this paper, slurry fluid motion, abrasive particle motion, and effects of groove sizing on the pads are numerically investigated in the 2D geometry. Groove depth is optimized in order to maximized the abrasive effect. The simulation results are analyzed in terms of shear stress on pad, groove and wafer, streamline and velocity vector. The change of groove depth entails vortex pattern change, and consequently affects material removal rate. Numerical analysis is very helpful for disclosing polishing mechanism and local physics.

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Nonlinear Goal Programming for Optimizing Rice Conditioning and Storage Systems : Part II…Application (벼 조제(調製) 및 저장(貯藏) 시스템의 최적화(最適化)를 위한 비선형(非線型) 골 프로그래밍(II))

  • Chang, Dong Il;Chung, Do Sup;Hwang, C.L.
    • Journal of Biosystems Engineering
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    • v.9 no.1
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    • pp.46-52
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    • 1984
  • MODM(Multiple Objective Decision Making) 문제(問題)로서의 벼 건조(乾燥) 및 저장시설(貯藏施設)의 설계문제(設計問題)에 NGP(Nonlinear Goal Programming)를 이용(利用)하여 어떻게 적정화(適正化)할 수 있는가를 예제(例題)를 통하여 제시(提示)한 후, $1,762m^2$의 수확량(收穫量)에 대한 6가지의 벼 건조(乾燥) 및 저장시설(貯藏施設)에 대한 각각의 적정(適正)시스템을 제시(提示)하였다.

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Analysis of the wavelength selective filter using optimized CGH (최적화된 CGH를 이용한 파장선택 필터 특성 분석)

  • An, Jun-Won;Do, Duc-Dung;Kim, Nam;Jeon, Seok-Hui
    • Proceedings of the Optical Society of Korea Conference
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    • 2007.02a
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    • pp.167-168
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    • 2007
  • A novel holographic demultiplexer with multi-group has been firstly proposed and experimentally demonstrated using optimized CGH by genetic algorithm. For experimental demonstrations, a LCOS with 8.1um pixel size and spatial resolution of 1920X1200 is used.

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탄소나노튜브를 이용한 고성능 투명 전도성 필름의 제조

  • Jeong, Hyeok;Kim, Do-Jin
    • Proceedings of the Materials Research Society of Korea Conference
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    • 2012.05a
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    • pp.112.2-112.2
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    • 2012
  • 고투과도, 고전도성을 갖는 탄소나노튜브 기반의 투명 전도성 필름은 분산조건의 최적화에 의해 제조하였다. 탄소나노튜브간의 응집현상은 탄소나노튜브간의 접촉저항의 증가를 야기하여 탄소나노튜브가 갖고 있는 고유의 우수한 전기적 특성을 감소시킨다. 이에 대해 본 연구에서는 분산제 농도, 분산 시간, 기판 표면처리에 따른 특성 변화 및 이에 따른 탄소나노튜브간의 응집이 최소화된 용액을 제조하였다. 또한, 이를 기반으로 연속공정이 가능한 탄소나노튜브 용액을 제조하고 평가하였다.

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