• BLOOD RESEARCH
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• v.53 no.4
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• pp.269-275
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• 2018

Coronary artery ectasia (CAE) is defined as the dilation of a segment of a coronary vessel to at least 1.5 times the diameter of its normal adjacent segment. Mean platelet volume (MPV) plays a role in acute coronary syndromes, with high MPV correlating to poor prognosis for acute thrombotic events and CAE. Several studies investigated the relationship between MPV and CAE, resulting in conflicting results. These results led us to systematically review all studies investigating the relationship between MPV and ectatic heart diseases by performing a meta-analysis study in order to report a unified result. This meta-analysis study investigated all case-control articles examining the relationship between MPV and CAE. All studies in the following databases published until January 31, 2018, were investigated: Science Direct, Scopus, PubMed, Google Scholar, and Web of Science. Following a quality control evaluation, 14 articles, all of which were published following studies performed in Turkey from 2007 to 2016, met the criteria for study inclusion. After pooling the results from all of the articles, a total standardized mean difference (SMD) value of 0.584 (95% CI, 0.219, 0.95) was obtained using the D+L pooled SMD, indicating a significant difference (P=0.002) between the two groups, with higher MPV values in ectatic patients when comparing to healthy individuals. Therefore, increased MPV levels were significantly related to CAE, suggesting that platelets, with their inflammatory and thrombotic activities, play a role in this disease. Therefore, anti-platelet and anti-inflammatory therapies may be effective in treating CAE.

• Design & Manufacturing
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• v.15 no.4
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• pp.24-31
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• 2021

In this study, an artificial neural network model was constructed to convert CAE analysis data into similar experimental data. In the analysis and experiment, the injection molding data for 50 conditions were acquired through the design of experiment and random selection method. The injection molding conditions and the weight, height, and diameter of the product derived from CAE results were used as the input parameters for learning of the convert model. Also the product qualities of experimental results were used as the output parameters for learning of the convert model. The accuracy of the convert model showed RMSE values of 0.06g, 0.03mm, and 0.03mm in weight, height, and diameter, respectively. As the next step, additional randomly selected conditions were created and CAE analysis was performed. Then, the additional CAE analysis data were converted to similar experimental data through the conversion model. An artificial neural network model was constructed to predict the quality of injection molded product by using converted similar experimental data and injection molding experiment data. The injection molding conditions were used as input parameters for learning of the predicted model and weight, height, and diameter of the product were used as output parameters for learning. As a result of evaluating the performance of the prediction model, the predicted weight, height, and diameter showed RMSE values of 0.11g, 0.03mm, and 0.05mm and in terms of quality criteria of the target product, all of them showed accurate results satisfying the criteria range.

• Proceedings of the Korean Society of Precision Engineering Conference
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• 2006.05a
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• pp.621-622
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• 2006

In this paper, we performed the customization of CAE analysis in the process of product development and verification. The purpose of customized analysis is to implement collaboration framework of inter-corporate, inter-division for knowledge process based on product development. Customized analysis methodology using ANSYS Workbench API is presented for the web-based and workbench-based application. Cellular phone was selected as a CAD model, and template based process of analysis is conducted. By using this system, customized analysis is suitable to site or user oriented specific analysis and for user who has little experience on CAE analysis.

• Journal of information and communication convergence engineering
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• v.8 no.5
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• pp.479-483
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• 2010

The rapid progress of the Internet and network is affecting the engineering design environment as well as business that use Web technologies to enhance their competitive edge. In product development, experts and organization who take part in the design process are often geographically dispersed. Furthermore, different divisions and business often have heterogeneous CAD/CAE systems and methods for expressing product data, and addressing this heterogeneity creates additional costs and increases development time. Managing distributed CAD, CAE and other related systems in an organic and holistic manner from the initial stages of product development is imperative to ensure successful collaboration in the design process. Therefore, this study suggests a Web-based MDO framework to support interfacing and collective use of design and analysis tools.

• Proceedings of the Korean Society for Noise and Vibration Engineering Conference
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• 2008.04a
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• pp.579-584
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• 2008

A nano-imprinting stage has been widely used in various fields of nanotechnology. In this study, an analysis method of a nano-imprinting stage machine using FEM and flexible multi-body vibration has been presented. The simulation using CAE for the imprinting machine is to analyze vibration characteristics of 3-axis nano-imprinting stage and 4-axis nano-imprinting stage. Structural components such as the upper plate have been modeled with finite elements to analyze flexibility effects during the precision stage motion. In this paper flexible multi-body dynamic simulation is executed to support robust design of the precision stage mechanism.

• Proceedings of the Korean Society of Precision Engineering Conference
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• 2006.05a
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• pp.375-376
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• 2006

Thermoplastic elastomer(TPE) can be molded by conventional injection molding. Therefore TPE injection molding could be analyzed by commercial flow analysis software. However there are a little of gaps on CAE simulation results and practical molding. In this study, the properties of TPE were measured and applied to CAE simulation for comparing the simulation flow pattern and real flow pattern. The pattern that was controlled by injection time was match. The pattern that was controlled by injection stroke and rate was not match.

• Journal of the Society of Naval Architects of Korea
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• v.45 no.3
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• pp.322-328
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• 2008

Recently, the rapid progress of Internet and Network affects engineering design environment as well as Business fields to utilize Web technologies to enhance it's competitively in the world. In product development, experts and organizations actually taking part in the design process are often geographically dispersed. Furthermore, different divisions and businesses often have heterogeneous CAD/CAE systems and methods for expressing product data, and addressing this heterogeneity creates additional costs and causes longer development periods. To ensure successful collaboration in the design process, it is therefore imperative that distributed CAD, CAE, and other related systems be managed in an organic and integrated manner from the initial stages of product development. Therefore, this study suggests Web-based MDO(Multidisciplinary Design Optimization) framework to support interfacing and the collective use of design and analysis tools.

• Journal of Powder Materials
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• v.9 no.4
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• pp.261-266
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• 2002

CAE technology is an integrated tool including all aspects such as powder, binder system, mixing, injection molding, debinding and sintering. Therefore, CAE technology is considered as one of core technologies for PIM industry in the future. Recently many researchers are developing not only CAE software itself but also application procedures of CAE software. In this study, the applications for CAE technology in PIM industry are presented including feedstock mixing effect, several cases of troubleshooting and optimization procedure.

• Proceedings of the KAIS Fall Conference
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• 2004.06a
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• pp.72-74
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• 2004

본 연구의 목적은 천안시 소재 (주)삼우금형의 생산 제품인 휴대폰 충전기에 대해 CAE 프로그램인 Moldflow와 CAPA를 이용하여 유동해석과 냉각해석을 수행함으로써 성형불량을 최소화하고 좋은 설계를 얻을 수 있는 최적의 성형조건을 얻으려는 것이다. 사출성형 관련 설계를 설계초기 단계에서 CAE기술을 활용하여 합리적인 설계로 나아가기 위한 구체적인 과정을 기술하였다. 제품 성형에 있어서의 문제점을 최소화하고 재료비 절감, 설계납기 단축, 제품 품질 향상을 달성하기 위해서 CAE 해석을 통하여 현재 제품의 문제점을 도출하고 그 해결책을 제시하였다.

• Proceedings of the KAIS Fall Conference
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• 2011.12a
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• pp.345-348
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• 2011

본 논문에서는 LFT와 같은 고점도 수지의 점도를 추정하기 위한 방법을 제시하였다. 실제 사출공정에서의 점도를 추정함으로써 신뢰할 수 있는 점도데이터를 제공하기 위한 방법을 제시 하였다. 우선 금형 내에 캐비티 압력을 측정할 수 있는 시스템을 구성하였고, 이 시스템을 이용해서 실제 사출과정에서 나타나는 압력 변화를 측정하는 것이다. 상용화 된 CAE 프로그램(Moldflow)은 사출공정에서 캐비티 내부를 흐르는 수지의 압력변화를 모사할 수 있다. 만약, CAE D/B에 있는 수지의 점도 데이터가 정확하다고 가정하면, 실험에서 측정한 압력 프로파일과 CAE로부터 계산 된 압력 프로파일이 일치해야 한다. 이것이 실험값과 일치하지 않으면 가정한 값을 CAE D/B에 입력해서 일치할 때까지 반복함으로써 신뢰성 있는 점도를 추정 할 수 있다. 한편, LFT에 대하여 적용하여 최적화 된 점도 데이터도 추정할 수 있었다.