• Title/Summary/Keyword: 강화복

Search Result 119, Processing Time 0.039 seconds

Study on the Microstructure and Mechanical Properties of High Volume Fraction TiB2-Al1050 Metal Matrix Composites (고체적률 TiB2-Al1050 금속복합재료의 미세조직 및 기계적 특성 연구)

  • Ko, Seongmin;Park, Hyeonjae;Lee, Yeong-Hwan;Shin, Sangmin;Lee, Donghyun;Jo, Ilguk;Lee, Sang-Bok;Lee, Sang-Kwan;Cho, Seungchan
    • Composites Research
    • /
    • v.32 no.1
    • /
    • pp.1-5
    • /
    • 2019
  • In this study, Al1050 composites reinforced with uniformly dispersed, high volume fraction $TiB_2$ particles were fabricated by liquid pressing process and analyzed to microstructure, mechanical properties. Hardness, ultimate tensile strength and compressive yield strength of the 56 vol.% $TiB_2$-Al1050 composite increased to 10, 4.5 and 9.8 times, respectively, compared with those of the Al1050 due to dispersion hardening effect of uniformly dispersed $TiB_2$ in the Al matrix.

우리나라 농수산물의 지리적표시를 위한 조사연구-음성고추, 제주광어, 제주감귤을 중심으로

  • Kim, Seon-A;Hong, Sang-Pil;Jang, Dae-Ja
    • Bulletin of Food Technology
    • /
    • v.19 no.4
    • /
    • pp.85-103
    • /
    • 2006
  • 지리적 표시란 농산물 및 그 가공품의 명성, 품질, 기타 특징이 본질적으로 특정지역의 지리적 특성에 기인하는 경우, 당해 농산물 및 그 가공품이 그 특정지역에서 생산된 특산품임을 표시하는 것을 의미한다. 지리적 표시제는 우수 농산물 및 그 가공품의 지리적 표시를 등록.보호함으로써 지리적 특산품의 품질을 향상하고 지역특화산업으로 육성하여 생산자를 보호.육성하고, 소비자에게는 특정 제품에 대한 지리적 명칭의 정보를 제공함으로써 안전하고 우수한 농산물 및 그 가공품을 소비할 수 있게 하여 궁극적으로 생산자와 소비자를 모두 보호하는 것을 목적으로 한다. 우루과이라운드(UR)에 의한 무역협상 타결로 '95년에 출범한 세계무역기구(WTO)는 "무역관련 지적재산권 협정(Agreement on Trade Related Aspects of Intellectual Property Rights: TRIPs)"을 다자간 무역협상의 대상으로 추가함으로써 통상교섭의 영역을 상품 및 서비스생산 중심에서 지적재산권 영역까지 확대시켰다. 우리나라는 2001년부터 "TRIPs" 협정에 대한 일반적 이행을 의무화하고 있으며, '96년 10월 한.EU기본협력협정 체결시 EU의 지리적표시 보호를 위한 제도적 장치 마련을 요구하는 등 국제적인 지리적표시 보호 강화 움직임에 보다 적극적으로 대처하고, 우리나라의 우수한 지리적 특산품을 국내 및 국제적으로 보호하기 위해 '99년 농수산물품질관리법에 지리적표시 등록제가 도입되었다. 현재 보성녹차, 하동녹차, 고창복분자, 영양고추 및 서산육쪽마늘, 의성마늘, 괴산 고추 및 순창고추장, 괴산 고춧가루, 성주참외, 해남겨울배추, 이천쌀, 철원쌀이 등록되었고 지역 경제 활성화에도 가교 역할을 하고 있어 다양한 품목에 대한 지리적 표시 등록을 위한 연구가 적극적으로 진행되고 있다. 본 고에서는최근 수행한 음성 고추, 제주 광어, 제주 감귤의 지리적 특성과 품질 특성과의 관계를 조사 분석한 연구내용을 소개하고자 하였다.

  • PDF

A Study on Ways to Develop the factors which are necessary to Strengthen the Competitiveness of Cultural Goods;a case study of Character Industry (문화상품 경쟁력 강화를 위한 필요 요인에 관한 발전방안 연구;캐릭터산업을 중심으로)

  • Suh, Myung-Ae;Ree, Sang-Bok
    • Proceedings of the Korean Society for Quality Management Conference
    • /
    • 2007.04a
    • /
    • pp.391-399
    • /
    • 2007
  • There has been an increasing preference for product with cultural value as people have a growing cultural sensitivity and greater demand for cultural value in current global market. In response to that, countries need to develop cultural products which represent their distinctive cultures and traditions, and such efforts may aim to promote the creation of economically high value-added and enhance the cultural image. In this paper, first, we analyze the correlation between Culture, cultural industry and Cultural goods. In this context, my efforts centered initially on a thorough analysis on the current situation and environmental problems that Korean culture faces presently, and then, processed and organized them into major industry categories of character industry, through a statistical methodology, to estimate its market volume by industry and to analyze the inter-relationship and macro-economic pervasive effects among related industries as well as cultural window effects. This paper could lead to final practical solution and suggestions for optimum policy measures to be taken for a supreme cultural industry for Korea.

  • PDF

정부출연연구원의 창조적 인력양성전략: 전주기적 인력관리 관점에서

  • Jo, Hyeong-Rye;Jo, Seong-Bok;Seok, Jae-Jin;Jeong, Seon-Yang
    • Proceedings of the Technology Innovation Conference
    • /
    • 2009.02a
    • /
    • pp.453-471
    • /
    • 2009
  • 현대경제가 점차 지식기반경제로 변화하고 있고, 이러한 지식을 창출하고 활용하여서 경제적 가치로 전환되는 선순환적 체계를 갖추기 위해서는 인재육성이 가장 핵심적인 필수조건일 것이다. 현재 국가의 미래발전의 가장 핵심적인 부분이 과학기술발전전략임을 고려할 때 과학기술인력에 대한 인적자원개발 정책은 필수적인 요소이다. 그렇다면 과학기술발전에 주도적인 역할을 하고 있는 출연(연)에서 효율적인 방향정립이 필요한 이 시점에서 연구원의 인력을 양성하는 일은 국가혁신체제 전반에 걸쳐 경쟁력 강화라는 측면에서 볼 때 매우 중요하다고 볼 수 있다. 본 연구는 기존문헌들을 바탕으로 인력양성에 대한 연구의 틀을 제시하고자 한다. 창조적 인력양성전략은 조직 내에서 유치, 육성, 활용, 퇴직, 안락한 노후로 이어지며, 이를 바탕으로 한 새로운 인력의 유치 등으로 이어지는 것으로 "창조적 인적자원의 전주기적 경영(Life Cycle Management of Creativity Human Capital)" 을 본 연구의 핵심으로 전체연구를 전개하도록 한다. 또한 이와 같은 전주기적 경영에 있어서 각 단계별로 다양한 정책적 이슈들이 대두될 수 있다.

  • PDF

Conservation treatment of the Bonhwa Bukjiri Maaeyeoraejwasang(Rock-Carved Seated Buddha Statue), Korea (봉화 북지리 마애여래좌상의 과학적 보존처리)

  • Kim, Sa-dug;Choi, Joon-Hyun
    • 보존과학연구
    • /
    • s.34
    • /
    • pp.6-17
    • /
    • 2013
  • Bukjiri Seated Rock-carved Buddha of Bonghwa is a rock carved Buddhist Statues on the Two-Mica Granite with mid-size grains. The non-destructive diagnosis on the statues showed that their surfaces had been damaged by exfoliation or granular decomposition and their physical properties are also found to be weak. In addition, the evaluation of slope stability showed that there are the possibility of toppling failure, or planar and wedge failure. So, we have recovered the physical strength and structural stability of rock using the scientific conservation treatment. We also founded that the existing shelter was damaged by the poor ventilation and water leakage. So we constructed it in a way that there is no water leakage while the ventilation is good.

  • PDF

A Study on the Future Development of Statistics Departments : Installing Teacher-training Course (통계학과 발전방향에 대한 고찰 : 교직과정을 중심으로)

  • Chung Sung Suck;Sohn Joong-Kweon;Lee Sang Bock
    • The Korean Journal of Applied Statistics
    • /
    • v.18 no.1
    • /
    • pp.211-227
    • /
    • 2005
  • Present situation for statistics departments is in crisis in the view point of decreasing numbers of departments and difficulty in receiving good quality highschool graduate students. In this paper; we study the various ways of developing statistics department. Especially after the foreign exchange crisis in 1997, the preference for the teaching jobs in highschool is increasing drastically, the installment of teacher-training course is regraded as one of several crucial ways to get good highschool graduates and to complete with other majors at the same time.

Fracture Resistances of Y2O3 Particle Dispersion Strengthened 9Cr Steel at Room Temperature and High Temperatures (Y2O3 입자 분산강화 9Cr 강의 상온 및 고온 파괴저항특성)

  • Yoon, Ji Hyun;Kang, Suk Hoon;Lee, Yongbok;Kim, Sung Soo
    • Korean Journal of Metals and Materials
    • /
    • v.50 no.1
    • /
    • pp.1-7
    • /
    • 2012
  • The fracture resistance and tensile properties of $Y_2O_3$ oxide dispersion strengthened steel containing 9 wt% Cr(9Cr-ODS) were measured at various temperatures up to $700^{\circ}C$. The fracture characteristics were compared with those of commercial E911 ferritic/martensitic steel. The strength of 9Cr-ODS was at least 30% higher than that of E911 steel at the test temperatures below $500^{\circ}C$. The strength difference between the two materials was almost diminished at $700^{\circ}C$. 9Cr-ODS showed cleavage fracture behavior at room temperature and unstable crack growth behaviors at $300^{\circ}C$ and $500^{\circ}C$. The J-R fracture resistance of 9Cr-ODS was much lower than that of E911 steel at all temperatures. It was deduced that the coarse $Cr_2O_3$ particles that were formed during the alloying process provided the crack initiation sites of cleavage fracture in 9Cr-ODS.

Microstructure and Mechanical Properties of Tantalum-Continuous-Fiber-Reinforced Amorphous Matrix Composites Fabricated by Liquid Pressing Process (액상가압공정으로 제조된 탄탈륨 연속섬유 강화 비정질 복합재료의 미세조직과 기계적 성질)

  • Lee, Kyuhong;Lee, Sang-Bok;Lee, Sang-Kwan;Lee, Sunghak
    • Korean Journal of Metals and Materials
    • /
    • v.46 no.7
    • /
    • pp.403-411
    • /
    • 2008
  • Zr-based amorphous alloy matrix composites reinforced with tantalum continuous fibers were fabricated by liquid pressing process, and their microstructures and mechanical properties were investigated. About 60 vol.% of tantalum fibers were homogeneously distributed inside the amorphous matrix, which contained a small amount of polygonal crystalline particles. The ductility of the tantalum-continuous-fiber-reinforced composite under tensile or compressive loading was dramatically improved over that of the monolithic amorphous alloy, while maintaining high strength. The consequential observation of the tensile deformation and fracture behavior of the composite showed the formation of multiple shear bands and multiple necking, crack deflection in the amorphous matrix, and obstruction of crack propagation by ductile fibers, thereby resulting in very high tensile elongation of 7.2%. These findings suggested that the liquid pressing process was useful for the development of amorphous matrix composites with improved ductility.

Advanced Approach for Performance Improvement of Deep Learningbased BIM Elements Classification Model Using Ensemble Model (딥러닝 기반 BIM 부재 자동분류 학습모델의 성능 향상을 위한 Ensemble 모델 구축에 관한 연구)

  • Kim, Si-Hyun;Lee, Won-Bok;Yu, Young-Su;Koo, Bon-Sang
    • Journal of KIBIM
    • /
    • v.12 no.2
    • /
    • pp.12-25
    • /
    • 2022
  • To increase the usability of Building Information Modeling (BIM) in construction projects, it is critical to ensure the interoperability of data between heterogeneous BIM software. The Industry Foundation Classes (IFC), an international ISO format, has been established for this purpose, but due to its structural complexity, geometric information and properties are not always transmitted correctly. Recently, deep learning approaches have been used to learn the shapes of the BIM elements and thereby verify the mapping between BIM elements and IFC entities. These models performed well for elements with distinct shapes but were limited when their shapes were highly similar. This study proposed a method to improve the performance of the element type classification by using an Ensemble model that leverages not only shapes characteristics but also the relational information between individual BIM elements. The accuracy of the Ensemble model, which merges MVCNN and MLP, was improved 0.03 compared to the existing deep learning model that only learned shape information.