http://chineseinput.net/에서 pinyin(병음)방식으로 중국어를 변환할 수 있습니다.
변환된 중국어를 복사하여 사용하시면 됩니다.
Return Vane Installed in Multistage Centrifugal Pump
Miyano, Masafumi,Kanemoto, Toshiaki,Kawashima, Daisuke,Wada, Akihiro,Hara, Takashi,Sakoda, Kazuyuki Korean Society for Fluid machinery 2008 International journal of fluid machinery and syste Vol.1 No.1
To optimize the stationary components in the multistage centrifugal pump, the effects of the return vane profile on the performances of the multistage centrifugal pump were investigated experimentally, taking account of the inlet flow conditions for the next stage impeller. The return vane, whose trailing edge is set at the outer wall position of the annular channel downstream of the vane and which discharges the swirl-less flow, gives better pump performances. By equipping such return vane with the swirl stop set from the trailing edge to the main shaft position, the unstable head characteristics can be also suppressed successfully at the lower discharge. Taking the pump performances and the flow conditions into account, the impeller blade was modified so as to get the shock-free condition where the incidence angle is zero at the inlet.
Application of Pseud-superplastic PM Process to Ti-Al Intermetallic Compound for MEMS Parts
Miyano Naoki,Kumagai Yusuke,Yoshimoto Masayoshi,Nishimura Yuta,Tanaka Shigeo,Ameyama Kei 한국분말야금학회 2006 한국분말야금학회 학술대회논문집 Vol.2006 No.1
A non-equilibrium powder metallurgy processing such as an MA/SPS (Mechanical Alloying / Spark Plasma Sintering) process is examined in a Ti-48moll%Al. TiAl intermetallic compound is a potential light-weight/high-temperature structural material. One of the major problems, however, limiting the practical use of the material is its poor workability. From this point, the powder metallurgy (PM) processing route has been attractive alternative of the conventional processing for such material The MA/SPS process is able to apply to a LIGA process. Optimization of the pseudo-superplasticity enables to fabricate micro-parts made of fine grained ceramics composites of TiAl by the LIGA process.
Statistical Approaches to Genome-wide Biological Networks
도진환,최동국,Satoru Miyano 한국바이오칩학회 2009 BioChip Journal Vol.3 No.3
The experiments based on high-throughput technology have been producing massive genomic data including protein-protein interactions, genome-wide mRNA expression and whole genome sequences, which allows the reconstruction of genome-wide biological networks representing relationships or interactions between genes or proteins. The network approach to biology is becoming the main framework to understand biological systems consisting of numerous dynamic networks of biochemical reactions and signaling interactions between cellular components. This is mainly due to efficient representation of a large amount of biological information. Many statistical models have been built and applied to construction of genome-wide biological networks from various type of high-throughput data. In this study, we survey statistical approaches to construction of four main biological networks with their pros and cons: gene regulatory networks, protein-protein interaction networks, metabolic networks and signal transduction networks. In addition, we also investigate the methods describing dynamic behavior of gene regulatory networks and signal transduction networks. The experiments based on high-throughput technology have been producing massive genomic data including protein-protein interactions, genome-wide mRNA expression and whole genome sequences, which allows the reconstruction of genome-wide biological networks representing relationships or interactions between genes or proteins. The network approach to biology is becoming the main framework to understand biological systems consisting of numerous dynamic networks of biochemical reactions and signaling interactions between cellular components. This is mainly due to efficient representation of a large amount of biological information. Many statistical models have been built and applied to construction of genome-wide biological networks from various type of high-throughput data. In this study, we survey statistical approaches to construction of four main biological networks with their pros and cons: gene regulatory networks, protein-protein interaction networks, metabolic networks and signal transduction networks. In addition, we also investigate the methods describing dynamic behavior of gene regulatory networks and signal transduction networks.