• 제목/요약/키워드: Demolding temperature

검색결과 19건 처리시간 0.023초

GFRP 복합재료의 압축성형에서 표면요철에 미치는 성형조건의 영향 (Effects of Molding Condition on Surface Unevenness of GFRP Composites in Compression Molding)

  • 김형석;김진우;김용재;이동기
    • 대한기계학회논문집A
    • /
    • 제34권11호
    • /
    • pp.1649-1657
    • /
    • 2010
  • 성형조건에 따른 GFRP 복합재료를 관찰하여, 성형품 표면의 불량원인을 조사했다. 표면거칠기에 영향을 주는 요철의 가장 주요한 발생원인은 보압 냉각 과정에서 발생하는 모재의 수축이었다. GFRP 복합재료 성형품 표면은 성형 시의 보압하중이 높을수록 좋아졌고, 서냉실험에서는 탈형온도가 낮을수록 성형품의 표면이 좋아졌다. 그리고 보압하중과 탈형온도를 고려하여, 성형품의 표면요철 생성과정과 섬유돌출 높이 변화를 규명했다.

반사방지 나노구조의 성형성과 광학적 특성에 대한 이형 온도의 영향 (Effects of Demolding Temperature on Formability and Optical Properties of Anti-reflective Nanostructure)

  • 여나은;심영보;조상욱;김두인;김기남;장경수;정명영
    • 마이크로전자및패키징학회지
    • /
    • 제23권2호
    • /
    • pp.91-96
    • /
    • 2016
  • 본에서는 저반사 나노구조 필름의 열 나노임프린트 공정 최적화를 위해 나노구조의 성형성과 광학적 특성에 대한 이형 온도의 영향을 평가하였다. 이형 온도에 따른 광학적 특성을 평가한 결과 $70^{\circ}C$까지는 이형 온도가 증가함에 따라 투과율과 반사율 특성이 향상되는 거동을 보였으나 그 이후에는 오히려 투과율이 감소하고 반사율이 증가하는 경향을 보였다. 이와 같은 이형온도에 따른 거동은 성형성에도 유사하게 관찰되었으며 자유체적 형성과 고분자 유동에 의한 것으로 보인다. 따라서, 이형 온도에 따라 고분자의 유동과 자유체적의 형성에 의한 패턴의 성형성이 결정되며, 이로 인해 광학적 특성에 영향을 줄 수 있음을 확인하였다.

입도분급 미분 시멘트를 이용한 조강형 콘크리트의 현장실용화에 관한 연구 (A study on the Practical Application of High Early Strength Type Concrete Using Fine Particle Classifying Cement)

  • 최성용;노동현;김기훈;김경민;한민철;한천구
    • 한국건축시공학회:학술대회논문집
    • /
    • 한국건축시공학회 2008년도 춘계 학술논문 발표대회
    • /
    • pp.117-121
    • /
    • 2008
  • This study investigates practical application of high early strength type concrete using fine particle classifying cement, and the results are summarized as following. The replacement use of FC 30% did not great influence on concrete mix, therefore mixing without additional SP and AE was available using equal mix with OPC. The ratio of increasing temperature by heat of hydration was similar with OPC, and the compressive strength was over then 5MPa at -28℃ outside temperature on 2nd day. Therefore, it is considering that the first purpose, the effect of shortening terms of work by early demolding, will be available. The rebound rate of type "P" schumidt hammer was relative with compressive strength, and the rebound rate for verifying 5MPa of compressive strength was estimated about 55 considering rate of safety. Therefore, assuming demolding date is available efficiently.

  • PDF

Stress Analysis in Cooling Process for Thermal Nanoimprint Lithography with Imprinting Temperature and Residual Layer Thickness of Polymer Resist

  • Kim, Nam Woong;Kim, Kug Weon
    • 반도체디스플레이기술학회지
    • /
    • 제16권4호
    • /
    • pp.68-74
    • /
    • 2017
  • Nanoimprint lithography (NIL) is a next generation technology for fabrication of micrometer and nanometer scale patterns. There have been considerable attentions on NIL due to its potential abilities that enable cost-effective and high-throughput nanofabrication to the display device and semiconductor industry. Up to now there have been a lot of researches on thermal NIL, but most of them have been focused on polymer deformation in the molding process and there are very few studies on the cooling and demolding process. In this paper a cooling process of the polymer resist in thermal NIL is analyzed with finite element method. The modeling of cooling process for mold, polymer resist and substrate is developed. And the cooling process is numerically investigated with the effects of imprinting temperature and residual layer thickness of polymer resist on stress distribution of the polymer resist. The results show that the lower imprinting temperature, the higher the maximum von Mises stress and that the thicker the residual layer, the greater maximum von Mises stress.

  • PDF

DVD/Blu-ray 스템퍼를 이용한 핫엠보싱 특성 (Characteristics of Hot Embossing using DVD/Blu-ray Stamper)

  • 김병희;반준호;신재구;김헌영
    • 한국소성가공학회:학술대회논문집
    • /
    • 한국소성가공학회 2004년도 추계학술대회논문집
    • /
    • pp.305-310
    • /
    • 2004
  • The Hot Embossing Lithography(HEL) as a method for the fabrication of nanostructure with polymer is becoming increasingly important because of its simple process, low cost, high replication fidelity and relatively high throughput. In this study, we investigated the characteristics of hot embossing lithography as a nanoreplication technique. To grasp characteristics of nano patterning rheology by process parameters(embossing temperature, pressure and time), we have carried out various experiments by using the DVD(400nm pattern width) and Blu-ray nickel stamps(150nm pattern width). During the hot embossing process, we have observed the characteristics of the size effect. The quality of products made by hot embossing is affected by its cooling shrinkage. The demolding process at the glass transition temperature results in low quality because of the shrinkage of the polymer. Therefore, the quantification of the temperature condition is essential for the replication of high quality.

  • PDF

광 PCB의 광 회로층 제작 및 패키징 기술 (Fabrication for Optical Layer and Packaging Technology of Optical PCB)

  • 김태훈;허석환;정명영
    • 마이크로전자및패키징학회지
    • /
    • 제22권1호
    • /
    • pp.1-5
    • /
    • 2015
  • Recently, data throughput of smart electric devices increases dramatically. There is a great interest in a new technology which exceeds the limit of electrical transmission method. Optical PCB can supplement the weakness of electrical signal processing, the research for optical PCB is very active. In this paper, we propose the thermal imprint lithography process to fabrication optical layer of optical PCB and experiment to optimize the process conditions. We confirm process time, pressure, process temperature, demolding temperature and fabricate optical interconnection structure which has $45^{\circ}$ tilted mirror surface for confirm the interconnection efficiency.

고속철도 침목용 고강도콘크리트의 개발 (Development of High Strength Concrete for the Sleepers of High Speed Rail)

  • 백상현;엄태선;곽천탁;정재현;박종방;김인재
    • 한국콘크리트학회:학술대회논문집
    • /
    • 한국콘크리트학회 1998년도 봄 학술발표회논문집(II)
    • /
    • pp.755-760
    • /
    • 1998
  • In the present, we have developed high strength concrete for the sleepers of high speed rail and verified its applicability by in-situ applications. Concrete for sleepers is manufactured by steam curing at low temperature(below 55$^{\circ}C$), and should be finished its manufacturing process such as placing, curing, demolding and prestressing in 24 hours. The sleepers need its compressive strength above 350kg/$\textrm{cm}^2$ in 15 hours, air-entrainment for durability and nominal design strength of 600kg/$\textrm{cm}^2$, considering its quality variation at factory. We performed the optimum mix design of concrete and verified the rightness of the use of TYPE III cement. Finally, we have confirmed the manufactured sleepers satisfy the required material properties through in-situ application.

  • PDF

배합 인자를 고려한 Machine Learning Algorithm 기반 콘크리트 압축강도 추정 기법에 관한 연구 (A Study on the Estimation Method of Concrete Compressive Strength Based on Machine Learning Algorithm Considering Mixture Factor)

  • 이승준;이한승
    • 한국건축시공학회:학술대회논문집
    • /
    • 한국건축시공학회 2017년도 춘계 학술논문 발표대회
    • /
    • pp.152-153
    • /
    • 2017
  • In the construction site, it is necessary to estimate the compressive strength of concrete in order to adjust the demolding time of the form, and establish and adjust the construction schedule. The compressive strength of concrete is determined by various influencing factors. However, the conventional method for estimating the compressive strength of concrete has been suggested by considering only 1 to 3 specific influential factors as variables. In this study, six influential factors (Water, Cement, Fly ash, Blast furnace slag, Curing temperature, and humidity) of papers opened for 10 years were collected at three conferences in order to know the various correlations among data and the tendency of data. After using algorithm of various methods of machine learning techniques, we selected the most suitable regression analysis model for estimating the compressive strength.

  • PDF

개방형 RTP(Rapid Thermal Pressing)공정의 점소성 유한요소해석 (Finite Element Analysis with Viscoplastic Formulation in Open-Die RTP Process)

  • 손지원;임성한;오수익
    • 한국소성가공학회:학술대회논문집
    • /
    • 한국소성가공학회 2004년도 추계학술대회논문집
    • /
    • pp.284-289
    • /
    • 2004
  • Since polymer materials at elevated temperatures are usually rate-sensitive, the analysis of RTP process requires considering the effect of the rate-dependent. The material behavior that exhibits rate-sensitivity is called visco-plastic. A two-dimensional visco-plastic finite element formulation which constitutive equation is based on the formulation proposed by Perzyna is presented. This Paper is purposed to calcuate pressure distribution on PMMA in compression process and to predict the relationship with defects after demolding process. This paper analyzes, both analytically and numerically, the pressure distributions on the surface of PMMA during open-die RTP process. In this research, PMMA is used to be simulated at $110^{\circ}C$ near the transition temperature.

  • PDF

배합 인자를 고려한 Deep Learning Algorithm을 이용한 콘크리트 압축강도 추정 기법에 관한 기초적 연구 (A Basic Study on Estimation Method of Concrete Compressive Strength Based on Deep Learning Algorithm Considering Mixture Factor)

  • 이승준;김인수;이한승
    • 한국건축시공학회:학술대회논문집
    • /
    • 한국건축시공학회 2017년도 추계 학술논문 발표대회
    • /
    • pp.83-84
    • /
    • 2017
  • In the construction site, it is necessary to estimate the compressive strength of concrete in order to adjust the demolding time of the form, and establish and adjust the construction schedule. The compressive strength of concrete is determined by various influencing factors. However, the conventional method for estimating the compressive strength of concrete has been suggested by considering only 1 to 3 specific influential factors as variables. In this study, seven influential factors (W/B ratio, Water, Cement, Fly ash, Blast furnace slag, Curing temperature, and humidity) of papers opened for 10 years were collected at three conferences in order to know the various correlations among data and the tendency of data. The purpose of this paper is to estimate compressive strength more accurately by applying it to algorithm of the Deep learning.

  • PDF