• Title/Summary/Keyword: Matrix burner

Search Result 13, Processing Time 0.017 seconds

Review of the Research and Development of Ceramic Matrix Composite Materials and Future Works (세라믹 매트릭스 복합재료 연구 개발 동향 및 전망)

  • Lee, Tae Ho
    • Composites Research
    • /
    • v.27 no.4
    • /
    • pp.123-129
    • /
    • 2014
  • Ceramic matrix composites (CMCs) consist of such reinforcements as carbides, nitrides, borides and oxides, which have high melting points, low density, high modulus and high strength, for the purpose of increasing toughness. These materials are used for heat shielding systems for aerospace vehicles, high-temperature gas turbine combustion chambers, turbine blades, stator vane parts, etc. Oxide CMCs are used for the components of burner and flame holder and the high-temperature gas duct. CMCs are also applied to brake disks, which are subjected to severe thermal shock, and slide bearing parts under heavy loads. The research and development of the CMC are progressed for the strategic purpose in defense and energy industry; for instance, for aerospace applications in the U.S., and for hyper-speed aircraft, gas turbines, and atomic fissions in U.S., Japan, and Europe.

Characteristics of a Plasma-Dump Combustor for VOC Destruction (VOC 분해 플라즈마-덤프 연소기 특성)

  • Kim, Eun Hyuk;Chun, Young Nam
    • Journal of Korean Society of Environmental Engineers
    • /
    • v.37 no.8
    • /
    • pp.492-497
    • /
    • 2015
  • VOCs (Volatile Organic Compounds) are generally generated in the painting process, or at the company and laundry where use organic solvents. The VOCs consist of various hydrocarbons and has low calorific value due to its dilution with atmospheric air. Therefore, the VOCs are difficult to burn by a conventional fuel combustor. In this study, a novel plasma dump combustor was proposed for the treatment of low calorific VOC gases. This combustor was designed a combination of the characteristics in a plasma burner, a dump combustor and a 3D matrix burner. The combustor has good structure for maintaining enough residence time and reaction temperature for stable flame formation and VOC destruction. For investigating the performance characteristics of the plasma dump combustor, an experiment was achieved for VOC feed rate, VOC injector position, etc. Toluene was used as a surrogate of VOC. The novel combustor gave better performance than a conventional combustor, showing that VOC destruction rate and energy efficiency were 89.64% and 12.27 kg/kWh respectively, at feeding rate of 450 L/min of VOC of 3,000 ppm of toluene concentration.

Identification of Emerging Research at the national level: Scientometric Approach using Scopus (국가적 차원의 유망연구영역 탐색: Scopus 데이터베이스를 이용한 과학계량학적 접근)

  • Yeo, Woon-Dong;Sohn, Eun-Soo;Jung, Eui-Seob;Lee, Chang-Hoan
    • Journal of Information Management
    • /
    • v.39 no.3
    • /
    • pp.95-113
    • /
    • 2008
  • In todays environment in which scientific technologies are changing very fast than ever, companies have to monitor and search emerging technologies to gain competitiveness. Actually many nations try to do that. Most of them use Dephi approach based on experts review as a searching method. But experts review has been criticised for probability of inclination and its derivative problems in the sense that it is accomplished only by expert's subjectivity. To overcome such problems, we used Scientometric Method for identifying emerging technology that had been done by Delphi as a rule. We made three particular efforts in order to improve the Quality of the result. Firstly, we selected one alternative database between SCI and Scopus hoping to see evenly-distributing results in wide fields on the front burner. Secondly we used Fractional citation counting in counting citation number in the stage of linear regression analysis. Lastly, we verified Scientometric result with experts opinions to minimize probable errors in a Scientometric research. As a result, we derived 290 emerging technologies from Scientometric analysis with Scopus Database, and visualized them on 2-dimension map with data mining system named KnowledgeMatrix which was developed by KISTI.