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Online since: September 2014
Authors: Jun Cai Zhang, Qing Guo Chen
Study on Mapping Algorithm from EBOM to PBOM for Chemical Tower in UG Chen Qingguo, Zhang Juncai School of Mechanical Engineering, Hebei University of Science and Technology, Shijiazhuang Hebei 050018,China email: chenqg66@126.com, email: zhjc666@126.com Keywords: Chemical Tower; EBOM(Engineering BOM); PBOM(Proeess planning BOM); Mapping; Processing Rule.
Aimed at the characteristic of tower structure and the existing problem in technical data management at present, the paper develops computer aided design on Bill of Materials (BOM) for chemical tower to improve the data management.
It concretely consists of the design information of parts in chemical tower, for example drawing number, specification, standard number, and material.
Chinese Journal of mechanical engineering, 2005, (4): 35-38
The International Journal of Advanced Manufacturing Technology[J],, 2003, (22): 3-7 [6] Wang Yaodong, HeYuqiang, Cui Hongbing etc.Development Of BOM system based on UG threee dimensional modeling.
Online since: February 2014
Authors: Jian Li, Wen Jun Yang, Zhong Wu Jin
Sediment is a major nonpoint source pollutant, such as soil erosion and agriculture production, and the exchange of materials between water and sediment is the controlling component of the eutrophication process.
Phosphorus interacts with SS through adsorption and desorption, and phosphorus-laden sediment will settle down to the river bed when the flow velocity is low, in some conditions the phosphorus will release from the bed material layer, which may cause more serious water quality problem.
Acknowledgements The present work was supported by the National Science Foundation of China (No. 51309021).
Journal of Environmental Engineering(ASCE). 132 (2006):1498-1507
Journal of Yangtze River Scientific Research Institute (in Chinese and in Publication) [6] Zhang Chao.
Online since: October 2011
Authors: Chi Jun Zhang, Qiong Wu
Mesurment Instrument of Quantitative Fluorometry Intensity Based on Stoke’s Shift ZHANG Chijun1,a and WU Qiong1,b 1Changchun University of Science And Technology, China,130022 aZhangchijun0919@126.com,bqionsio@sina.com Keywords: Fluorescence; fluorescent intensity; stoke’s shift; blood circle diagnoses Abstract.
Testing Process Based on the stoke’s shift we select the fluorescence plain sodium as the drug (fluorescence plain sodium is the drug that has already been included in the Chinese pharmacopoeia) which enter into human body ‘s blood circle through intravenous injection half an hour later, shine the position that the patient needs to examine with the blue light with 450-500nm length by testing the intensity of fluorescence main peak which has to red clinicians can diagnose patient skin petals of survival situation after operation so -the doctors can make corresponding measures and diagnose some epidermis blood vessel disease further. 2.Mathematics Model of the Quantitative Fluorometry Intensity Fluorescent intensity F is not the inherent material in the excited state,which changes with the light absorbed by material and the excited light wavelength.That is express F=Φf=ΦfIα=ΦfI0 (1-e-2.303εcι) (1) Φf is the producing rate of fluorescence quantum,which lies
The light is weak,and the pumping light absorbed by fluorescence material is more weak, only a small part of light was absorbed,,so above formula is simplified as following: F=ΦfI0×2.303εcι (2) From formula (2).we know that fluorescent intensity is in proportion to the density of fluorescence plain sodium mixed in the blood , thus after examining patient fluorescent intensity in some position we can judge if the blood circle in this position is normal .
The Journal of Hard Surgery.Vol.12A.No.2 march1987,250~255
[4] Chinese Pharmacopoeia 1990 Second department people’s hygiene publishing company, Beijing 1990:352 [5] Li Wenhui, Wang liangneng, Discuss on vigor of arterial flood missing skin flap Chinese surgical journal 1984,22(7); 417
Online since: September 2018
Authors: Alexander F. Artemenko, Alexander Mikhailovich Zakharenko, Alexander A. Sergievich, Vladimir V. Chaika, Ivan A. Zemchenko, Ivan V. Seryodkin, Kirill Sergeevich Golohvast
To date, researchers have accumulated additional material and, in particular, a fairly large number of new types of phytoliths.
Materials and Methods Tichocarpus crimson (Tichocarpus crinitus) today has the following taxonomic characteristics according to www.algaebase.org: Department: Rhodophyta, class: Florideophyceae, order: Gigartinales, Family: Tichocarpaceae, Genus Tichocarpus.
Acknowledgements This work is supported by Russian Science Foundation (project “Research of molecular bases of biomineralization and creation the biomineral biotechnology for microelectronics and biomedicine”).
Silicateins - A novel paradigm in bioinorganic chemistry: Enzymatic synthesis of inorganic polymeric silica // Chemistry - A European Journal 19(19) (2013) 5790-5804
Non-skeletal biomineralization by eukaryotes: matters of moment and gravity // Geomicrobiology Journal 27(6&7) (2010) 572-584
Online since: February 2023
Authors: J.J. Hassan
HASSAN* Physics department, College of Science, University of Basrah, Basrah, Iraq.
The result showed four peaks centered at 380 nm, 445 nm, 475 nm, and 500 nm related to near band to band emission and defects states. 1- Introduction Nanostructured metal oxide materials open a new study for enhancement of bulk materials.
Among them, the hydrothermal method has become the easiest way to synthesis nanostructure materials with numerous structures.
All the involved starting chemical materials such as SnCl2 .2H2O, and NaOH are used without further purification.
Journal of Physics: Conf.
Online since: May 2011
Authors: Chang Peng Liu, Xi Gang Zhang, Da Xing Zhou, Wei Ming Yan, Yan Jiang Chen
As new composite material is created, a new type damper called Metal Alloy Brace turns up, which is produced by Vio Creation Technology [7].
Acknowledgment This research was supported by the National Natural Science Foundation of China (Project No.: 90715032, 50978009).
(In Chinese) [2] Aijun Ye, Shide Hu and Lichu Fan: China Civil Engineering Journal Vol.37 (2004), p.41 (In Chinese) [3] LIN W.H., ANIL K.
C.: Earthquake Engineering & Structure Dynamics Vol.31 (2002), p.1623-1642 [4] MAHENDRA P., SINGH F., NAVIN P., et al.: Journal of Engineering Mechanics, Vol.129 (2003), p.273-282 [5] Xigang Zhang, Minshan Pei, Hong Yuan, Liping Xu, Bin Zhu: Engineering Sciences Vol.11 (2009) , p.20-24 (In Chinese) [6] Information on http://www.bluelakeint.com/chinese/kangzhen/qitai/louyou.htm [7] Information on http://www.vio.com.tw/ [8] Xigang Zhang, Hong Yuan, Minshan Pei: Engineering Science Vol.7 (2009), p.6-11
Online since: September 2013
Authors: Zu Lian Zhang, Ying Huang, Tong Zhen Bo, Ke Sheng Jin
Test plan The direct shear specimens of laterite and pollution laterite are prepared according tooptimal compaction of laterite before and after pollution, selectedthe Yunnan laterite as pollution soil material, selected hydrochloric acid as pollutants, considered the impact of acid concentration and pollution time, the changes of acid concentration are 1%, 3%, 7%, 8%, the changes of pollution times of the sample are 1d, 4d, 7d, 14d, 30d.
Acknowledgements This work was financially supported by the Country Natural science Foundation of China (50868009, 51168022).
Chinese Journal of Geotechnical Engineering, Vol.30, n.8 (2008), pp.1213-1217.
Chinese Journal of Geotechnical Engineering, Vol.11, n.4 (1989), pp.89-93.
Site Investigation Science and Technology, n.2(1988), pp.35-38.
Online since: September 2014
Authors: Ben Xue Ma, Qin Gang Chen, Li Xu, Jing Wang, Jie Xu, Jin Cheng Chen
Introduction Seed is one of the most basic agricultural production, irreplaceable, special production material, which is the foundation of the agricultural development.
British-Journal, 2012.104(1):p.7-9
Management Science, 2010.56(2):p.343-355
International Journal of Production Economics, 2010. 124(2): p.426-432
Jiangsu agricultural science, 2013.41(7):p.388-390.
Online since: March 2016
Authors: Tao Yi, Chuan Ke Wang, Ting Shuai Li, Min Xu, Deng Feng Huang, Xi Yun Liu, Shen Ye Liu
Random Lasers with Coherent Feedback From Polymer Films Based On Rh6G-PVP Xiyun Liu1,2, a, Shenye Liu1, b, Tao Yi1, c*, Chuanke Wang1, d, Tingshuai Li2, e, Min Xu2, f and Dengfeng Huang2, g 1Research Center of Laser Fusion, China Academy of Engineering Physics, Mianyang, Sichuan China, 621900 2School of Energy Science and Engineering, University of Electronic Science and Technology of China, 2006 Xiyuan Road, Chengdu, Sichuan, China, 611731 a346109910@qq.com, blsye1029@163.com, cyitao2008@caep.cn, dwck1981@caep.cn, elitingshuai@uestc.edu.cn, fxuminuestc@gmail.com, g188078741@qq.com, Keyword: Random laser, Spin-coating, Polymer films, Redshift.
Introduction Unlike traditional lasers which a Fabry-Perot cavity and an optical gain material are indispensable for the system to lase, RL is a special kind of lasers in which the cavity is formed with closed-loop random cavities owing to multiple scattering of photons in the amplifying media and determines the resonant frequency and threshold of the lasers.
Acknowledgements This work is financially supported by the National Natural Science Foundation of China under Grant No.11435011 and all the workmates who offered helps are acknowledged.
Vardeny, Cancerous tissue mapping from random lasing emission spectra, Journal of Optics, 12 (2010)
Ismail, Effect of Host Medium on the Fluorescence Emission Intensity of Rhodamine B in Liquid and Solid Phase, Journal of Fluorescence, 19 (2009) 741-746
Online since: February 2011
Authors: Jing Chong Zhang, Yan Li, Jin Ping Hu
Surface Roughness Prediction of High Speed Milling Based on Back Propagation Artificial Neural Network Jinping Hua, Yan Lib and Jingchong Zhang Heilongjiang Institute of Science and Technology Harbin, 150027,China ahujinpingmary@163.com, bbeibeima311@yahoo.com.cn Keywords: Aluminum Alloy; High Speed Milling; Surface Roughness; BP Artificial Neural Network Abstract.
The material of specimen was aluminum alloy(2A70).
Journal of Manufacture Science and Technology, Vol.37 (1997) No.8, p. 664-667 [2] W.
Shi: Principle and Application of Artificial Neural Networks (Science Press, CN 2006) (In Chinese) [4] D.
Cai: Journal of Harbin Institute of Technology(2003)(In Chinese) [5] Masahiko Ara: Neural Networks Vol. 6 (1993) p. 2 [6] Information on http://www.lwbst.com