• Title/Summary/Keyword: Machine Part

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A Study on the Identification Method of Lubrication Characteristics for Journal Bearing (저널베어링의 윤활상태 판별 기법에 관한 연구)

  • Kim, Myung-Hwan;Lee, Sang-Don;Cho, Yong-Joo
    • Tribology and Lubricants
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    • v.25 no.1
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    • pp.56-60
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    • 2009
  • A journal bearing is used in a hydrodynamic lubrication state, but it becomes a boundary lubrication state that asperity of a contact part touch each other when pressure is too high and an enough oil film is not formed by viscosity change due to lubricating oil temperature. At this time, abrasion due to contact between a journal and a bearing is unavoidable, and scuffing damage that the journal adheres to the bearing occurs if the process is repeated. Damage of the journal bearing is an important problem because it gives huge damage to a machine and can generate large accidents such as economic loss and human life damage. In this study, method for using the pull-up resistor concept was introduced as the monitoring technology. This monitoring system is important to enhance reliability of the engine.

A New Approach to CAD/CAM Systems Data Exchange Using Plug-in Technology

  • Chernopyatov Y.A.;Chung W.j.;Lee C.M.
    • International Journal of Precision Engineering and Manufacturing
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    • v.6 no.4
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    • pp.8-13
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    • 2005
  • Interoperability has been the problem of CAD/CAM systems. Starting from 1980's, national and international organizations have addressed the issue through development and release of standards for the exchange of geometric and nongeometric design data. To CAD/CAM vendors, the task of interpreting and implementing these standards falls into their products. This task is a balancing action between users' needs, available development resources, and the technical specifications of standards. This paper explores an area of CAD/CAM systems development, particularly the implementation of the effective exchange files translators'. A new approach is introduced, which proposes to enclose all the translation operations concerning each exchange format to a separate DLL, thus making a 'plug-in.' Then, this plug-in could be used together with the CAD/CAM system or with specialized translation software. This approach allows to create new translators rapidly and to gain the reliable, high-efficiency, and reusable program code. The second part of the paper concerns the possible problems of translators' development. These difficulties often come from the exchange standards' misunderstanding or ambiguity in standards. All examples come from the authors' practice experiences of dealing with CAD/CAM systems.

3D Linear and Circular Interpolation Algorithm for CNC Machines (CNC 공작기계의 3차원 직선 및 원호 보간 알고리즘에 관한 연구)

  • Yang, Min-Yang;Hong, Won-Pyo
    • Journal of the Korean Society for Precision Engineering
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    • v.16 no.9
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    • pp.172-178
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    • 1999
  • 3D linear and circular interpolations are a basic part for the machining of complex shapes. Until now, because of the absence of appropriate algorithms for the generation of 3D lines and circles, a full accomplishment for available machine tool resolution is difficult. this paper presents new algorithms for 3D linear and circular interpolation in the reference pulse technique. In 3D space, the line or circle is not expressed as an implicit function, it is only defined as the intersection of two surfaces. A 3D line is defined as the intersection of two planes, and a 3D circle is defined as the intersection of a plane and the surface of a sphere. Based on these concepts, interpolation algorithms are designed to follow intersection curves in 3D space, and a real-time 3D linear and circular interpolator was developed in software using a PC. The algorithm implemented in a PC showed promising results in interpolation error and speed performance. It is expected that it can be applied to the next generation computerized numerical control systems for the machining of 3D lines, circles and some other complex shapes.

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Multi-classifier Fusion Based Facial Expression Recognition Approach

  • Jia, Xibin;Zhang, Yanhua;Powers, David;Ali, Humayra Binte
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • v.8 no.1
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    • pp.196-212
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    • 2014
  • Facial expression recognition is an important part in emotional interaction between human and machine. This paper proposes a facial expression recognition approach based on multi-classifier fusion with stacking algorithm. The kappa-error diagram is employed in base-level classifiers selection, which gains insights about which individual classifier has the better recognition performance and how diverse among them to help improve the recognition accuracy rate by fusing the complementary functions. In order to avoid the influence of the chance factor caused by guessing in algorithm evaluation and get more reliable awareness of algorithm performance, kappa and informedness besides accuracy are utilized as measure criteria in the comparison experiments. To verify the effectiveness of our approach, two public databases are used in the experiments. The experiment results show that compared with individual classifier and two other typical ensemble methods, our proposed stacked ensemble system does recognize facial expression more accurately with less standard deviation. It overcomes the individual classifier's bias and achieves more reliable recognition results.

Development of Monitoring Tool for Synaptic Weights on Artificial Neural Network (인공 신경망의 시냅스 가중치 관리용 도구 개발)

  • Shin, Hyun-Kyung
    • The KIPS Transactions:PartD
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    • v.16D no.1
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    • pp.139-144
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    • 2009
  • Neural network is a very exciting and generic framework to develop almost all ranges of machine learning technologies and its potential is far beyond its current capabilities. Among other characteristics, neural network acts as associative memory obtained from the values structurally stored in synaptic inherent structure. Due to innate complexity of neural networks system, in its practical implementation and maintenance, multifaceted problems are known to be unavoidable. In this paper, we present design and implementation details of GUI software which can be valuable tool to maintain and develop neural networks. It has capability of displaying every state of synaptic weights with network nodal relation in each learning step.

On the Grounding Damage of Ship Bottom Stiffened Platings(Part I: Experiment) (좌초시 선저보강판의 손상에 관한 연구(제1보: 실험))

  • Jeom-K. Paik;Myung-H. Hyun;Tak-K. Lee
    • Journal of the Society of Naval Architects of Korea
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    • v.31 no.1
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    • pp.121-132
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    • 1994
  • The aim of the present paper is to clarify the damage characteristics fur ship bottom stiffened platings in grounding. For this purpose, a series of tests are performed. A rigid wedge is quasi-statically pushed into the high tensile steel plates with two stiffeners. The aspect ratio of plates(a/B) is in the range from 1.0 to 2.5 and the thickness of plates is in the range from 3.4 to 7.0mm. Also other parameters, namely the shape of wedge tip, wedge angle and property/direction of stiffeners are varied. The test is carried out using the 100ton universal test machine. During the loading. both applied force and length of cutting(penetration) resulting in the grounding force-penetration response are measured.

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Evaluation of Noise Characteristics around the Conventional Turnout System through the Field Measurements (기존선 분기기시스템 인근 소음측정 및 분석)

  • Shin, Han-Chul;Eum, Ki-Young;Park, Yong-Gul
    • Proceedings of the KSR Conference
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    • 2008.11b
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    • pp.985-992
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    • 2008
  • A turnout system which permits trains to pass from one track to another is a combination of the switch, the crossing, lead rails which are necessary to connect the switch and the crossing, two guard rails and a switch machine for operating the switch. A turnout is the sole moving part among the railway components and has complex configuration, so the safety has always been raised an issue. In Korea, it is planned to adopt the high speed tilting train, which operates at the maximum speed of 180km/h, at conventional lines by the year of 2010. However, for the application of the tilting train to conventional lines, it is prerequisite to establish a stable turnout system allowing the tilting train to pass through it without reducing speed. Therefore, the improved turnout system for the speed-up of conventional lines has been developed and the prototype of the turnout system has been constructed. In this study, evaluation of noise characteristics around the improved turnout system was performed through the field measurements. Field measurements of noise around the conventional and the high-speed turnout system were also carried out for the comparison.

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Performance Models of Multi-stage Bernoulli Lines with Multiple Product and Dedicated Buffers (다품종 제품과 전용 대기공간을 고려한 다단계 베르누이 라인을 위한 성능 모델)

  • Park, Kyungsu;Han, Jun-Hee;Kim, Woo-Sung
    • Journal of Korean Society of Industrial and Systems Engineering
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    • v.44 no.3
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    • pp.22-32
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    • 2021
  • To meet rapidly changing market demands, manufacturers strive to increase both of productivity and diversity at the same time. As a part of those effort, they are applying flexible manufacturing systems that produce multiple types and/or options of products at a single production line. This paper studies such flexible manufacturing system with multiple types of products, multiple Bernoulli reliability machines and dedicated buffers between them for each of product types. As one of the prevalent control policies, priority based policy is applied at each machines to select the product to be processed. To analyze such system and its performance measures exactly, Markov chain models are applied. Because it is too complex to define all relative transient and its probabilities for each state, an algorithm to update transient state probability are introduced. Based on the steady state probability, some performance measures such as production rate, WIP-based measures, blocking probability and starvation probability are derived. Some system properties are also addressed. There is a property of non-conservation of flow, which means the product ratio at the input flow is not conserved at the succeeding flows. In addition, it is also found that increased buffer capacity does not guarantee improved production rate in this system.

Basic study on a garlic (Alliumsativum L.) upright planter

  • Lee, Sang Yoon;Park, Hyo Je;Kweon, Gi Young
    • Korean Journal of Agricultural Science
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    • v.46 no.2
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    • pp.341-350
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    • 2019
  • Garlic is one of the most popular seasoning bulb vegetables in Korea and is the most commonly used food ingredient. However, the cultivation areas are decreasing every year as the price drops due to imported garlic, and labor is insufficient to produce garlic by conventional methods. Cultivation requires various tasks until garlic is harvested. Seeding is one of the important and laborious tasks; thus, mechanization is necessary. When seeding garlic, the sprout should face upwards; otherwise, it may rot or produce poor quality garlic. This study investigated the extent of growth of northern- and southern-type garlic in eight different positions. The results show when the roots were not planted properly, the stems were weak, and the garlic bulbs were small. A simple garlic planter was manufactured with a crank-press mechanism to plant garlic in an upright position. Using this machine, a three-fold experiment was carried out with 100 strips of garlic. The test results showed that 99.4% of the planted garlic strips were positioned upright or close to being upright, and 0.6% failed to take root. An image processing algorithm was developed to locate the root part of the garlic, and the result showed a success rate of 81%. A future study will develop an automatic garlic upright planting system with a viewing system.

State of Health Estimation for Lithium-Ion Batteries Using Long-term Recurrent Convolutional Network (LRCN을 이용한 리튬 이온 배터리의 건강 상태 추정)

  • Hong, Seon-Ri;Kang, Moses;Jeong, Hak-Geun;Baek, Jong-Bok;Kim, Jong-Hoon
    • The Transactions of the Korean Institute of Power Electronics
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    • v.26 no.3
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    • pp.183-191
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    • 2021
  • A battery management system (BMS) provides some functions for ensuring safety and reliability that includes algorithms estimating battery states. Given the changes caused by various operating conditions, the state-of-health (SOH), which represents a figure of merit of the battery's ability to store and deliver energy, becomes challenging to estimate. Machine learning methods can be applied to perform accurate SOH estimation. In this study, we propose a Long-Term Recurrent Convolutional Network (LRCN) that combines the Convolutional Neural Network (CNN) and Long Short-term Memory (LSTM) to extract aging characteristics and learn temporal mechanisms. The dataset collected by the battery aging experiments of NASA PCoE is used to train models. The input dataset used part of the charging profile. The accuracy of the proposed model is compared with the CNN and LSTM models using the k-fold cross-validation technique. The proposed model achieves a low RMSE of 2.21%, which shows higher accuracy than others in SOH estimation.