• Title/Summary/Keyword: Testing Machine

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The Study on the Axial Collapse Characteristics of Composite Thin-Walled Members for Vehicles (차체구조용 복합재 박육부재의 축압괴 특성에 관한 연구)

  • 김영남;차천석;양인영
    • Transactions of the Korean Society of Automotive Engineers
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    • v.9 no.6
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    • pp.195-200
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    • 2001
  • Composites have wide applications in aerospace vehicles and automobiles because of the inherent flexibility in their design for improved material properties. Composite tribes in particular, are potential candidates for their use as energy absorbing elements in crashworthiness applications due to their high specific energy absorbing capacity and the stroke efficiency. Their failure mechanism however is highly complicated and rather difficult to analyze. This includes fracture in fibres, in the matrix and in the fibre-matrix interface in tension, compression and shear. The purpose of this study is to investigate the energy absorption characteristics of CFRP(Carbon Fiber Reinforced Plastics) tubes on static and impact tests. Static compression tests have been carried out using the static testing machine and impact tests have been carried out using the vertical crushing testing machine. Interlaminar number affect the energy absorption capability of CFRP tubes. Also, theoretical and experimental have the same value.

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Hot Deformation Behavior of Bearing Steels and Their Optimal Hot Forging Conditions (베어링강의 고온변형특성과 열간 단조조건에 관한 연구)

  • 문호근;이재성;윤선준;전만수
    • Proceedings of the Korean Society for Technology of Plasticity Conference
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    • 2002.05a
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    • pp.159-162
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    • 2002
  • In this paper the stress-strain curves of bearing steels at hot working conditions are obtained by compression test with a computer controlled servo-hydraulic Gleeble 3800 testing machine and elongations and reductions of area of the bearing steels are obtained by tensile test with a computer controlled servo-hydraulic Gleeble 1500 testing machine. These tests have been focused to obtain the flow stress data and optimal hot forging conditions under various conditions of strain rates and temperatures. The strain rate sensitivity exponent and reduction of area of the materials are evaluated. Experimental results are resented for various conditions of temperatures and strain rates.

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RISKY MODULE PREDICTION FOR NUCLEAR I&C SOFTWARE

  • Kim, Young-Mi;Kim, Hyeon-Soo
    • Nuclear Engineering and Technology
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    • v.44 no.6
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    • pp.663-672
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    • 2012
  • As software based digital I&C (Instrumentation and Control) systems are used more prevalently in nuclear plants, enhancement of software dependability has become an important issue in the area of nuclear I&C systems. Critical attributes of software dependability are safety and reliability. These attributes are tightly related to software failures caused by faults. Software testing and V&V (Verification and Validation) activities are hence important for enhancing software dependability. If the risky modules of safety-critical software can be predicted, it will be possible to focus on testing and V&V activities more efficiently and effectively. It should also make it possible to better allocate resources for regulation activities. We propose a prediction technique to estimate risky software modules by adopting machine learning models based on software complexity metrics. An empirical study with various machine learning algorithms was executed for comparing the prediction performance. Experimental results show SVMs (Support Vector Machines) perform as well or better than the other methods.

An Experimental Study on the Impact Collapse Characteristics of CFRP Composite Circular Structures (탄소섬유강화 복합재료 원통부재의 충격압궤특성에 관한 실험적 연구)

  • 김영남;양현수
    • Journal of the Korea Safety Management & Science
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    • v.3 no.1
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    • pp.127-137
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    • 2001
  • Because of the inherent flexibility in their design for improved material properties, composites have wide applications in aerospace vehicles and automobiles. The purpose of this study is to investigate the energy absorption characteristics of CFRf (Carbon Fiber Reinforced Plastics) tubes on static and impact tests. Static compression tests have been carried out using the static testing machine(Shin-gang buckling testing machine) and impact compression tests have been carried out using the vertical crushing testing machine. When such tubes were subjected to crushing loads, the response is complex and depends on the interaction between the different mechanisms that control the crushing process. The collapse characteristics and energy absorption were examined. Trigger and interlaminar number affect the energy absorption capability of CFRP tubes.

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A Novel Tensile Specimen and Test Machine for Mechanical Properties of MEMS Materials (MEMS 소재의 기계적 특성 평가를 위한 인장형 시편 및 시험기 제작)

  • Park, Jun-Hyub;Kim, Chung-Youb;Lee, Chang-Seun;Choa, Sung-Hoon;Song, Ji-Ho
    • Proceedings of the KSME Conference
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    • 2004.04a
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    • pp.258-263
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    • 2004
  • Mechanical property evaluation of micrometer-sized structures is necessary to help design reliable microelectromechanical systems(MEMS) devices. Most material properties are known to exhibit dependence on specimen size and such properties of microscale structures are not well characterized. This paper describes techniques developed for tensile testing of materials used in MEMS. Epi-polycrystalline silicon is currently the most widely used material, and its tensile strength has been measured as 1.52GPa. We have developed an uniaxial testing machine for testing microscale specimen using electro-magnetic actuator. The field magnet and the moving coil taken from an audio-speaker were utilized as the components of the actuator. Structure of specimen was designed and manufactured for easy handling and alignment. In addition to the static tensile tests, new techniques and procedures for measuring strength are described.

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Development of a Testing Machine for Fretting Damage of Aerospace Components (항공부품 프레팅 손상 측정용 시험 장치 개발)

  • Kwon, Hyuk-Jin;Kim, Kyung-Mok
    • Journal of the Korean Society for Aviation and Aeronautics
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    • v.23 no.1
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    • pp.62-66
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    • 2015
  • In this paper, a fretting testing machine is developed using ball-on-flat test apparatus. Precise micro-slip motion is produced by a linear stage. A relative displacement between a ball and a flat specimen is measured with a laser displacement sensor. Dry friction tests are conducted with AISI 52100 steel balls and cold-rolled high strength steel plates at room temperature and ambient humidity. The evolution of the kinetic friction coefficient is determined. Comparison between measured friction coefficients and those found in the literature is then carried out. Fretting tests with an electro-deposited coating are employed at an amplitude of 0.05 mm. Slip regime is identified with slip ratio. It is demonstrated that a developed testing machine allows determining the friction coefficient under fretting condition.

Development of Hydraulic Testing Machine for Flexible Seal on Solid Rocket Motor (고체모터 플렉시블 씰을 위한 수압시험장치 개발)

  • Kwon, Tae-Hoon;Rho, Tae-Ho;Kim, Byung-Hun;Cho, In-Hyun
    • Proceedings of the Korean Society of Propulsion Engineers Conference
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    • 2008.11a
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    • pp.227-230
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    • 2008
  • Movable nozzle with a flexible seal have been used for Thrust Vector Control of the Solid Rocket Motor. The Hydraulic Testing Machine is consisted of Chamber, Actuator, Counterpotentiometer, and evaluates performance of Flexible seal for spring torque and axial compression. The qualification test of Flexible seal was conducted on design condition. A study fix up method of formulation, operation, inspection on Hydraulic testing machine.

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Using Machine Learning Algorithms for Housing Price Prediction: The Case of Islamabad Housing Data

  • Imran, Imran;Zaman, Umar;Waqar, Muhammad;Zaman, Atif
    • Soft Computing and Machine Intelligence
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    • v.1 no.1
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    • pp.11-23
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    • 2021
  • House price prediction is a significant financial decision for individuals working in the housing market as well as for potential buyers. From investment to buying a house for residence, a person investing in the housing market is interested in the potential gain. This paper presents machine learning algorithms to develop intelligent regressions models for House price prediction. The proposed research methodology consists of four stages, namely Data Collection, Pre Processing the data collected and transforming it to the best format, developing intelligent models using machine learning algorithms, training, testing, and validating the model on house prices of the housing market in the Capital, Islamabad. The data used for model validation and testing is the asking price from online property stores, which provide a reasonable estimate of the city housing market. The prediction model can significantly assist in the prediction of future housing prices in Pakistan. The regression results are encouraging and give promising directions for future prediction work on the collected dataset.

A Study on the Experiment of Machine tools with Measurement of 3-D Object on the Machine (기상 3차원 측정기술을 이용한 공작기계 적용시험에 관한 연구)

  • 김현철
    • Proceedings of the Korean Society of Machine Tool Engineers Conference
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    • 2000.04a
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    • pp.653-658
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    • 2000
  • For testing machine tools, we used test the work by measure of 3-D object that it was made by the machine tool. By reason of these, we have spent to the cost of measure and have delayed supply to user. In this study, we made a macro-program and a application program in order to test automatic the machine tool. So, if you constitute a ring core and a touch prove in machine tool, you should test the property of machine tool.

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