Cui J.,Jiangnan Shipyard Group Co. |
Yang Y.,Dalian University of Technology
Chinese Journal of Electronics | Year: 2016
Radar-absorbing materials (RAM), which effectively reduce the radar cross section of targets, are extensively used in stealth optimization of targets. Graphic electromagnetic computing (GRECO) uses graphic acceleration cards and Z-Buffer techniques to address blanking and non-visibility issues in traditional electronic magnetic algorithms. The traditional GRECO is improved to overcome its inability to precisely extract geometric information on visible surfaces and the dependence of calculation accuracy on screen resolution. An algorithm that can calculate the multiple scattering of metal dihedral-coated RAM is proposed. In addition, the element search method used in traditional dihedral calculation is improved, and calculation time is reduced by a significant margin. After the experimental results were compared, the accuracy of the algorithm is examined. The proposed algorithm, combined with the improved GRECO, can used to analyze the stealth performance of complicated targets coated single- or multi-layered RAM. © 2016 Chinese Institute of Electronics.
News Article | May 17, 2017
In this brand new report you find 93 in-depth tables, charts and graphs all unavailable elsewhere. The 177 page report provides clear detailed insight into the global Small Scale LNG market. Discover the key drivers and challenges affecting the market. 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Who should read this report? • Who should read this report? • Anyone within the LNG industry • CEOs • COOs • Business development managers • Project and site managers • Suppliers • Investors • Contractors • Government agencies • Environmental Engineers/Technicians Visiongain's study is intended for anyone requiring commercial analyses for the Small Scale LNG market and leading companies. You find data, trends and predictions. Buy our report today Small Scale Liquefied Natural Gas (LNG) Market Forecast 2017-2027: Liquefaction, Regasification, Satellite Station, Bunkering & Fuelling Station and Small Scale LNG Plus Profiles of Top Companies. Avoid missing out by staying informed - get our report now. To request a report overview of this report please email Sara Peerun at email@example.com or call Tel: +44-(0)-20-7336-6100 Aarhus Havn Adpo AGA Gas AB Air Liquide Air Products and Chemicals Inc. (APCI) Albert Heijn Alpha Natural Resources Anhui Huaqiang Natural Gas Anthony Veder Apache APNG Barents NaturGass Bayernwerk AG Bechtel and Chart Energy & Chemicals BG Group Black & Veatch Blu LNG BOC Bomin Linde LNG BP Buffalo Marine Service Buquebus CCB - Gasnor CETS (CNOOC) Chart Industries, Inc. Cheniere Texas Chesapeake Energy Chevron China LNG Group Limited China National Petroleum Corporation (CNPC) Chinese Construction Bank (CCB) Chinese National Offshore Oil Corp (CNOOC) Chive Fuels Chuo Kaiun CH4 Energy Clean Energy Corp. CME Colony Energy Partners Conferenza GNL ConocoPhillips Conrad Shipyard Consol Energy Copenhagen Malmo Port COSCO Group Cryonorm BV Cryostar Group CSR Daiichi Dalian Inteh Group Danyang Dart Energy Deen Shipping DHL Bawtry DNV GL Donsotank / Jahre Marine AS Dresser Rand Dunkerque LNG DUON Elengy Enagas Encana Energigas Engie (GDF Suez) Eni ENN ENOSLNG Evergas Evol LNG Exmar ExxonMobil Fairbanks Natural Gas Fenosa Reganosa Ferus Finish Gas Association Fjord Line AS Flint Hills Resources Fluxys Fordonsgas Fortis BC Energy Fujian Energy Gas Natural GasEner SLR Gasnor Shell Gasrec Gasum Gasunie Gavle Hamn Gaz Métro LNG Gazprom GE-Energy GNF Golar LNG GoldEnergy GoldEnergy Commercializadora de Energia, S.A GoLNG INDONESIA Gyproc AS HAM Group Harvey Gulf Harvey Gulf International Marine Hawaiian Electric Company Herose Hess Corporation Hiroshima LNG Hogaki Zosen Hokkaido Gas Honeywell I.M. Skaugen InterStream Barging Itochu Jahre Marine Japan Exploration Co. Ltd (Japex) Japan Liquid Gas Jensen Maritime Jereh Group Jiangnan Shipyard Group JX Energy JX Nippon Oil & Energy Klapeidos Nafta Knutsen Kogas Kosan Crisplant Kunlun Energy Company Limited Linde Group Liquefied Natural Gas Limited Liqueline Lloyds Register LNG 24 LNG America LNG Europe B.V. LNG Hybrid LNG Silesia Manga LNG Marubeni MCGC MedoEnergi Meyer Werft GmbH Mitsui Monfort National Grid Naturgass New Times Energy New York City Department of Transportation Nihon Gas Ningbo Xinle Shipbuilding Group Noble Energy Norgas Carriers NYK Ohio Gas Company Okinawa EP Osaka Gas Oy AGA Ab Perbadanan/NYK Pertamina Perusahaan Gas Negara PetroChina Petronet PGNIG Plum Energy ONLG Polish Oil and Gas Co. Polski LNG Polski LNG - Polish Oil and Gas Co. Port of Antwerp - Exmar Portal Gas Group Preem Petroleum Corporation PT Perusahaan Listrik Negara Puget Sound Energy Reola Gaas Repsol Rolande LNG Rolls Royce Marine Royal Bodewes Royal Dutch Shell plc Saga Fjordbase Saibu Gas Sakaide LNG Salof Sendai Municipal Gas SGA: Swedish Gas Association Shaanxi Yanchang Petroleum Group Shell Shinwa Simon Loos Sinopec Skangas Skangass AS SOCAR South Korean Ministry of Trade Spectrum Spectrum LNG Stabilis Energy Statoil/AGA Stobart Group STX Offshore & Shipbuilding Swedegas Tenaska NG Fuels Tenaska NG Fuels - Waller Marine The Linde Group Toho Gas Tokyo Gas Total TOTE Travel Centers of America Tsurumi Sunmarine U.S. Maritime Administration United Shipbuilding Company Universal Shipbuilding Corporation Vanzetti Veka Deen LNG Veka Group Via Augusta Gas VICO Indonesia Vicuna Vopak Vopak - Gasunie Vos Logistics Waller Marine Wartsila Hamworthy Wuchang Shipbuilding Xilan Natural Gas Group To see a report overview please email Sara Peerun on firstname.lastname@example.org
Lian Z.,Shanghai Dianji University |
Hu K.,Jiangnan Shipyard Group Co. |
Jiang Z.,Shanghai JiaoTong University |
Zheng D.,Jiangnan Shipyard Group Co.
Proceedings of 2011 International Conference on Computer Science and Network Technology, ICCSNT 2011 | Year: 2011
This article advances a share historical and global best particle swarm optimization algorithm (SGHPSO). In SGHPSO model, particles fully inherit the information of historical and global optimum particles in previous operation, which increases the search efficiency of particles. Ten typical nonlinear functions are given to test the efficiency of the improved algorithm. Simulation results clearly demonstrate superiority of the improved algorithm. © 2011 IEEE.
Fan T.,Shanghai JiaoTong University |
Fan T.,Jiangnan Shipyard Group Co. |
Xu H.,Shanghai JiaoTong University |
Pop I.,Babes - Bolyai University
Applied Mathematics and Mechanics (English Edition) | Year: 2013
The laminar fully developed nanofluid flow and heat transfer in a horizonal channel are investigated. Highly accurate solutions for the temperature and nanoparticle concentration distributions are obtained. The effects of the Brownian motion parameter Nb, the thermophoresis parameter N t, and the Lewis number Le on the temperature and nanoparticle concentration distributions are discussed. The current analysis shows that the nanoparticles can improve the heat transfer characteristics significantly for this flow problem. © 2013 Shanghai University and Springer-Verlag Berlin Heidelberg.
Yan X.-L.,East China University of Science and Technology |
Wang X.-W.,East China University of Science and Technology |
Lian Z.-G.,Shanghai Dianji University |
Lian Z.-G.,Jiangnan Shipyard Group Co.
Huadong Ligong Daxue Xuebao/Journal of East China University of Science and Technology | Year: 2011
A new particle swarm optimization algorithm was proposed to increase the diversity of the shared information. In the process of velocity updating, the historical global best in the previous rounds was combined with the local best in the current round to increase the diversity of information. In addition, according to the different combining ways of two kinds of information, the basic algorithm was extended to 3 kinds of extension algorithm. Simulation results on 6 typical functions showed that the improved particle swarm algorithm can efficiently overcome the premature of standard particle swarm algorithm.
Hu L.,Shanghai JiaoTong University |
Huang J.,Shanghai JiaoTong University |
Ni H.,Jiangnan Shipyard Group Co. |
Wu Y.,Shanghai JiaoTong University
Zhongguo Jiguang/Chinese Journal of Lasers | Year: 2011
Laser hybrid welding has become one of the most promising welding methods used to weld ship thickness steel plates with high efficiency due to combining the advantage of laser welding and arc welding. CO2 laser hybrid welding processes of ship steel plates are studied. The influences of the shielding gas composition on the chemical composition of weld and the distance between the laser beam and arc on the stability of the welding process are mainly analyzed. Based on the optimizing process parameters, 10Ni3CrMoV steel plates with a thickness of 14 mm are welded on both sides in T joint form using high-power laser hybrid welding. The welds produced are assessed by X ray. No crack is found and there is only a small amount of pores. The microstructures of welded joints are examined by optical microscope. The results show that the microstructure of welded joints has good comprehensive mechanical properties. Especially after the weld overlap region experiences a re-melting and heat treatment, the microstructure is refined. The microhardness of welded joints is tested in different regions. The maximum hardness of welded joints is less than 360 HV. The welds obtained can meet the technical requirements for shipbuilding industry.