• 제목/요약/키워드: Injection molding analysis

검색결과 529건 처리시간 0.029초

소형 공기청정기 하우징의 성형성 향상을 위한 런너시스템 설계 및 스크류 전진 거리 예측 (Design of Runner System and Prediction of Moving Distance of the Screw for the Improvement of Formability of a Housing Part of Small-Size Air Cleaner)

  • 김동인;이호진;안동규
    • 한국정밀공학회지
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    • 제33권12호
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    • pp.1021-1030
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    • 2016
  • The runner system of the injection mould and the injection volume of the injection molding process greatly affect the quality of the produced part. The goal of this paper is the design of the runner system and the prediction of the injection volume for the injection moulding of a housing part of small-size air cleaner to improve the formability through the three-dimensional injection moulding analysis. The effects of the runner system of the mould on the injection moulding characteristics are investigated. From the results of the investigation, a proper design of the runner system with uniform filling characteristics and the minimized defect formation is obtained. In addition, the influence of the moving distance of the screw on filling characteristics, weldline formation and deformation characteristics is examined. From the results of the examination, an appropriate moving distance of the screw for the housing part of small-size air cleaner is estimated.

CAE와 Decision-tree를 이용한 사출성형 공정개선에 관한 연구 (A Study on the Improvement of Injection Molding Process Using CAE and Decision-tree)

  • 황순환;한성렬;이후진
    • 한국산학기술학회논문지
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    • 제22권4호
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    • pp.580-586
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    • 2021
  • 현재 사출성형분야의 Computer Aided Testing(CAT) 방법론으로 CAE(Computer Aided Engineering)를 이용한 수치 해석 기법이 주를 이루고 있다. 그러나 최근 시뮬레이션에 추가로 인공지능 기법을 응용하는 방법론이 연구되고 있다. 우리는 지난 연구에서 다양한 Machine Learning 기법을 활용하여 사출 성형 공정에 따른 변형 결과를 비교하였으며, 최종적으로 MLP(Multi-Layer Perceptron) 예측모델을 생성하였고, HMA(Hybrid Metaheuristic Algorithm)를 이용하여 최적화 결과를 얻어냈다. 그러나 MLP는 예측 성능이 우수한 반면 블랙박스와 같이 결정 과정에 대한 설명이 부족하다. 본 연구에서는 Radiator Tank 부품에 대하여 사출 성형 해석 소프트웨어인 Autodesk Moldflow 2018을 이용하여 수치 해석 기법으로 데이터를 생성하고, Machine Learning 소프트웨어인 RapidMiner Studio version 9.5를 활용하여 여러 Machine Learning Algorithms 모델을 생성하여 평균 제곱근 오차를 비교하였다. Decision-tree는 Root Mean Square Error(RMSE) 값이 다른 Machine Learning 기법에 비해 양호한 예측 성능을 갖추고 있었다. Decision-tree의 크기를 결정하는 Maximal Depth에 따라 분류 기준을 높일 수 있지만 복잡성도 함께 증가시켰다. Decision-tree를 이용하여 구속 조건을 만족하는 중간 값을 선정하여 시뮬레이션을 진행한 결과 기존의 시뮬레이션만 진행한 것보다 7.7%의 개선 효과가 있었다.

고강도 경량 48V MHEV 배터리 하우징 개발을 위한 구조시뮬레이션에 관한 연구 (A Study on Structural Simulation for Development of High Strength and Lightweight 48V MHEV Battery Housing)

  • 김용대;이정원;정의철;이성희
    • Design & Manufacturing
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    • 제17권1호
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    • pp.48-55
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    • 2023
  • In this study, on the structure simulation for manufacturing a high strength/light weight 48V battery housing for a mild hybrid vehicle was conducted. Compression analysis was performed in accordance with the international safety standards(ECE R100) for existing battery housings. The effect of plastic materials on compressive strength was analyzed. Three models of truss, honeycomb and grid rib for the battery housing were designed and the strength characteristics of the proposed models were analyzed through nonlinear buckling analysis. The effects of the previous existing rib, double-sided grid rib, double-sided honeycomb rib and double-sided grid rib with a subtractive draft for the upper cover on the compressive strength in each axial direction were examined. It was confirmed that the truss rib reinforcement of the battery housing was very effective compared to the existing model and it was also confirmed that the rib of the upper cover had no significant effect. In the results of individual 3-axis compression analysis, the compression load in the lateral long axis direction was the least and this result was found to be very important to achieve the overall goal in designing the battery housing. To reduce the weight of the presented battery housing model, the cell molding method was applied. It was confirmed that it was very effective in reducing injection pressure, clamping force and weight.

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사출 성형품의 금형내 잔류응력과 이형후 냉각에 의한 후변형 해석 (Deformation Analysis of Injection Molded Articles due to In-mold Residual Stress and Cooling after Ejection)

  • 양상식;권태헌
    • 대한기계학회:학술대회논문집
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    • 대한기계학회 2001년도 춘계학술대회논문집C
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    • pp.251-256
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    • 2001
  • Deformation analysis of injection molded articles whose geometry is considered as the assembly of the thin flat plates has been conducted. For the in-mold analysis, thermo-viscoelastic stress calculation of rheologically simple amorphous polymer and in-mold deformation calculation considering the in-plane mold constraint has been done. Free volume theory has been used for the non-equilibrium density state by the fast cooling. At ejection, the redistribution of stress together with instantaneous deformation has been considered. During out-of-mold cooling after ejection, thermoelastic model based on the effective temperature has been adopted for the calculation of deformation. Two typical mold geometries are used to test the numerical simulation.

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백라이트 패널(back light panel)의 유동해석 및 평가 (Flow Analysis and Evaluation of Injection-Molded Front Panel)

  • 강성남;허용정
    • 한국산학기술학회:학술대회논문집
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    • 한국산학기술학회 2001년도 추계산학기술 심포지엄 및 학술대회 발표논문집
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    • pp.144-146
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    • 2001
  • 본 연구는 사출성형공정상에서 발생할 수 있는 문제점을 설계시에 미리 예측하여 좋은 설계를 얻기 위한 시도이다. 사출성형 관련 설계는 사출금형설계전문가의 축적된 지식과 경험을 활용하여 수행되어 왔으며, 설계에 필요한 설계자의 경험이 전무한 경우 많은 시행오치를 유발하고 있는 실정이다. 본 연구에서는 백라이트 패널을 설계함에 있어 설계초기에 성형시 발생할 수 있는 성형성, 기계적 강도 등의 문제를 수치해석을 통하여 시뮬레이션 함으로써 시행오차를 최소화하고 성형성을 고려한 설계를 구현하고자 시도하였다.

패턴드 미디어 제작을 위한 나노 사출성형 공정에 관한 연구 (Nanoinjection Molding Process with Passive Heating System for Patterned Magnetic Media)

  • 최의선;이남석;한정원;김영주;강신일
    • 정보저장시스템학회논문집
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    • 제3권3호
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    • pp.149-153
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    • 2007
  • Perpendicular patterned magnetic media have been regarded as a prime candidate to achieve an ultra-high magnetic recording density of over 1 Tera-bits/$inch^2$. Patterned magnetic media with nanoscale patterns have been fabricated using various nanopatterning technologies. We focused on the two technical issues of nanoinjection molding technology. Firstly, we have investigated a cost-effective method to fabricate metallic stamps. Secondly, we focused on the analysis of nanoinjection molding with passive heating, where the replication of 50 nm nanopillar arrays was successful. The effect of the thermal insulation layer on the replication quality was examined by analytical and experimental methods. Finally, we deposited a magnetic layer on a injection molded nanopillars and measured. Our methodology can provide cost-effective mass-production for patterned magnetic media.

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