• Title/Summary/Keyword: Gage

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The Eexperimental Studies on Residual Stresses due to Circumferential Welds in thin Steel Cylinder (圓筒管의 圓周熔接時 發生되는 殘留應力에 관한 實驗的 硏究)

  • 엄동석;류기열
    • Journal of Welding and Joining
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    • v.15 no.2
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    • pp.81-88
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    • 1997
  • The residual stresses produced by a circumferential weld between axisymmetric cylinders are one of the most important problems concerning buckling strength, fatigue strength, stress corrosion cracking in shell structures, and arc quite different from those due to a butt weld between flat plates. This paper presents experimental studies on weld cylinder models of various heat inputs and thin cylinder diameters by blind hole drilling method. As a result, it is certified that weld residual stress (axial stress and hoop stress) is larger, as heat input and shell cylinder diameter are larger, and that experimental results show good agreement with the result of preceding researchers.

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A STUDY ON THE MEASUREMENT OF RESIDUAL STRESS ACCORDING TO WELDING CONDITION OF STS304

  • Lee, Jin-Woo;Park, Won-Doo;Ko, Joon-Bean;Lee, Young-Ho;Shizuo Mukae;Kazumasa Nishio
    • Proceedings of the KWS Conference
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    • 2002.10a
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    • pp.652-656
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    • 2002
  • The HDM(Hole Drilling Method) is a relatively simple and accurate method in measuring residual stress of welded metal. Various methods of evaluating residual stress are studied in welding field. The method of cutting holes on the plate much affects the accuracy of result. Especially for the hard material like stainless steel difficult to cut preciously is difficult to measure residual stress on welded metal. Because heat conduction of stainless steel is lower than other general steel, the magnitude of residual stress might be different as to changing of welding conditions. Therefore, The distribution of residual stress on the STS304 steel after welding using HDM is evaluated in this paper.

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A Study on the Predict of Residual Stress Using a Neural Network (신경회로망을 이용한 용접잔류응력 예측에 관한 연구)

  • 김일수;이연신;박창언;정영재;안영호
    • Proceedings of the KWS Conference
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    • 2000.04a
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    • pp.251-255
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    • 2000
  • Recently, the improvement of computer capacities and artificial intelligence ware caused to employ for prediction of residual stresses and strength evaluation. There are a lot of researches regarding the measurement and prediction of residual stresses for weldment using a neural network in the advanced countries, but in our country, a neural network as a technical part, has only been used on the possibilities of employment for welding area. Furthermore, the relationship between residual stress and process parameters using a neural network was wholly lacking. Therefore development of a new technical method for the optimized process parameters on the reduction of residual stress and applyment of real-time production line should be developed. The objectives of this paper is to measure the residual stress of butt welded specimen using strain gage sectioning method and to apply them to a neural network for prediction of residual stresses on a given process parameter. Also, the assessment of the developed system using a neural network was carried out

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A methodology to determine realtime monitoring locations for water distribution systems based on the effect index matrix (영향행렬지수를 기반으로 한 상수관망의 실시간 모니터링 지점의 결정 알고리즘)

  • Jun, Hwan-Don;Cho, Moon-Soo;Back, Chun-Woo;Yoo, Do-Guen;Kim, Joong-Hoon
    • Proceedings of the Korea Water Resources Association Conference
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    • 2008.05a
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    • pp.1428-1432
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    • 2008
  • 상수관망이 노후화됨에 따라 파괴나 누수와 같은 운영상의 문제가 빈번하게 발생한다. 따라서 상수관망의 상태를 보다 정확히 파악하여 운영할 경우 안정적인 상수관망의 운영이 가능할 것이며 관파괴와 같은 돌발적인 사태의 피해를 최소화 할 수 있을 것이다. 그러나 상수관망의 실시간 모니터링 센서중 대표적인 online 압력계를 모든 지점에 설치할 경우 과다한 초기투자 비용이 소요되며 시스템의 유지관리 측면에서도 적절하지 않다. 따라서 본 연구에서는 상수관망의 실시간 모니터링을 위한 적정한 규모의 online 압력계 설치위치의 결정 방법을 제안하였다. 제안된 방법은 영향행렬지수(Effect Index Matrix)를 기반으로 하며 영향행렬지수내 column search를 수행하여 online 압력계의 위치를 선정한다. 제안된 방법을 미국의 Cherry Hill 상수관망에 적용하여 적용성을 검증하였다.

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Development of A smart pressure transducer (지능형 압력 변환기 개발)

  • Park, Chan-Won;Min, Nam-Gi
    • Journal of Institute of Control, Robotics and Systems
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    • v.5 no.8
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    • pp.941-947
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    • 1999
  • As pressure transducers are employed in many fields such as production facilities, test facilities vehicles and industrial machinery, there is an increasing need for high precision measurement of pressure without any calibration or maintenance. In this paper, we discuss the development of a smart thin film pressure transducer which is highly suitable for a precise measurement of pressure. The smart functions include automatic zero tracking, automatic span adjustment, temperature compenstion, continuous self-diagnostics for faults (open strain gages, abnormal data, incorrect A/D conversion, and overpressure), data memory and multi-drop communication with PC

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An experimental study on estimating deflection of RC beam using resistive strain gauge and fiber optic sensor (센서유형별 측정 변형률을 이용한 철근콘크리트 보의 처짐추정에 관한 실험적 연구)

  • 이규완;박기태;박흥석
    • Proceedings of the Korea Concrete Institute Conference
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    • 2000.10a
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    • pp.517-522
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    • 2000
  • In the past few years, the nondestructive inspection technology has greatly developed due to the increased necessity to gain a complete understanding of the bridge behavior. Especially, the deformations of bridges contain a lot of informations about its health state. By measuring these deformations it is possible to analyze the loading and aging behavior of the structure. However, the current methods (such as LVDT, dial gage, optical displacement tranceducer, etc) are often of changeable application on site and have the limitations of installation. In this paper, the classical beam theory was reviewed and the deflections of structure are estimated using measured strain which is easy to acquire. The applicability of this algorithm is verified by a preliminary steel beam test and two types of concrete beam tests. Also fiber optic sensors as well as resistive strain gages were installed in the concrete beams to establish the applicability of fiber optic sensors in the field of civil engineering.

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Process Capability Analysis by a New Process Incapability Index

  • Kim, Hee-Jung;Cho, Gyo-Young
    • Journal of the Korean Data and Information Science Society
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    • v.18 no.2
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    • pp.457-469
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    • 2007
  • Process Capability Indexes(PCI) are used as the measure for evaluation of process capability analysis and is the statistical method for efficient process control. The fourth generation $PCI(C_{psk})$ is constructed from $C_{pmk}$ by introducing the factor $\mid\mu-T\mid$ in the numerator as an extra penalty for the departure of the process mean from the preassigned target value T And Process Incapability Indexes(PII) are presented by inversing PCI and include the information of PCI. This paper introduces the PII $C_{ss}^*$ provide manager with various information of process and include Gage R&R. PII $C_{ss}^*$ is presented by inversing PCI $C_{psk}$ and include the information of PCI $C_{psk}$.

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Compensation of the Error due to Hole Eccentricity of Hole-drilling Method in Uniaxile Residual Stress Field Using Neural Network (신경망 기법을 이용한 1축 잔류응력장에서 구멍뚫기법의 구멍편심 오차 보정)

  • Kim, Cheol;Yang, Won-Ho;Cho, Myoung-Rae
    • Transactions of the Korean Society of Mechanical Engineers A
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    • v.26 no.12
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    • pp.2475-2482
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    • 2002
  • The measurement of residual stresses by the hole-drilling method has been commonly used to evaluate residual stresses in structural members. In this method, eccentricity can usually occur between the hole center and rosette gage center. In this study, the error due to the hole eccentricity is compensated using the neural network. The neural network has trained training examples of normalized eccentricity, eccentric direction and direction of maximum stress at eccentric case using backpropagation learning process. The trained neural network could compensated the error of measured residual stress in experiments with hole eccentricity. The proposed neural network is very useful for compensation of the error due to hole eccentricity in hole-drilling method.

Correction of Error due to Hole Eccentricity in Hole-drilling Method Using Neural Network (신경망 기법을 이용한 구멍뚫기법에서의 구멍 편심오차 보정)

  • Kim, Cheol;Yang, Won-Ho;Cho, Myoung-Rae;Heo, Sung-Pil
    • Proceedings of the KSME Conference
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    • 2001.11a
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    • pp.412-418
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    • 2001
  • The measurement of residual stresses by the hole-drilling method has been commonly used to evaluate residual stresses in structural members. In this method, eccentricity can usually occur between the hole center and rosette gage center. In this study, the error due to the hole eccentricity is corrected using the neural network. The neural network has trained training examples of normalized eccentricity, eccentric direction and direction of maximum stress at eccentric case using backpropagation learning process. The trained neural network could corrected the error of measured residual stress in experiments with hole eccentricity. The proposed neural network is very useful for correction of the error due to hole eccentricity in hole-drilling method.

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The Strain Measurement of Butt Welded Zone by the Laser System (레이저 계측에 의한 맞대기 용접부의 스트레인 측정)

  • 성백섭;차용훈;박창언;김일수;김덕중;이연신;손준식
    • Proceedings of the Korean Society of Machine Tool Engineers Conference
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    • 2001.04a
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    • pp.155-161
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    • 2001
  • Currently knowledge of strain in welds has mainly been obtained from strain gaging method; that is directly attaching most of the material to the gage. The very few non-contact method are still in the early stage. One of the non-contact methods is by the use of the laser that has high-level of the accuracy for the measurement, and this laser also has excellent characteristics on which many studies for its applications are focused throughout the many fields. The dissertation is on the measurement of the strain caused by the characteristics and the temperature changes of the TIG welded zone which is used with 3D ESPI system that is functionally modified through the laser ESPI system. This system employed the aluminum sheet-metal which are mainly used for the steel plate such as for the electronics, chemistry, food instrument and electronic appliances.

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