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Online since: January 2012
Authors: Ze Fu Bao, Ya Zhou Jiang, Cai Hong, Jiang Ping Wang
Introduction
Fig 1 “CPOE62”platform chart
Commissioned by the CNPC, China Shipbuilding and Ocean Engineering Design and Research Institute designed the"CPOE62"platform which is a self-elevating work over platform.
Shown in Fig 1.
Fig 4 CSS giving the scope of application of wave theory (1) Wave load is an important part of Environment load, and it has the very tremendous influence on the Platform’s the ultimate strength, fatigue strength, vibration.
The calculation of anti-sliding stability (1)The sliding force generated by wind, wave and flow load FH Table 6 The sliding force generated under the situation of operation and self-storage condition FH Sliding force FH Horizontal(90º) Vertical(0º) Slanting(64.2º) Working condition Normal operation Self-storage Normal operation Self-storage Normal operation Self-storage Wind 96.8 198.1 101.7 208.1 100.2 205.1 Wave and flow 220.4 280.9 182.6 247.3 226.1 290.9 Summation 317.2 479.0 284.3 455.4 326.3 496 (2) Sliding resistance The inserting depth of three piles takes as 10.3m.
References [1] Wang Zhangtang Zhao Wenfeng Xue Ying.Jack-up system of CPOE 62 workover platform[J].
Shown in Fig 1.
Fig 4 CSS giving the scope of application of wave theory (1) Wave load is an important part of Environment load, and it has the very tremendous influence on the Platform’s the ultimate strength, fatigue strength, vibration.
The calculation of anti-sliding stability (1)The sliding force generated by wind, wave and flow load FH Table 6 The sliding force generated under the situation of operation and self-storage condition FH Sliding force FH Horizontal(90º) Vertical(0º) Slanting(64.2º) Working condition Normal operation Self-storage Normal operation Self-storage Normal operation Self-storage Wind 96.8 198.1 101.7 208.1 100.2 205.1 Wave and flow 220.4 280.9 182.6 247.3 226.1 290.9 Summation 317.2 479.0 284.3 455.4 326.3 496 (2) Sliding resistance The inserting depth of three piles takes as 10.3m.
References [1] Wang Zhangtang Zhao Wenfeng Xue Ying.Jack-up system of CPOE 62 workover platform[J].
Online since: November 2012
Authors: Hong Guang Zhang, En Hua Wang, Bo Yuan Fan
Modeling a Finned Tube Evaporator for Engine Exhaust Heat Recovery
Enhua Wang 1, a, Hongguang Zhang 1,b and Boyuan Fan 1
1 College of Environmental and Energy Engineering, Beijing University of Technology,
Pingleyuan NO. 100, Chaoyang District, Beijing 100124, China
aenhua.wang@yahoo.com, bzhanghongguang@bjut.edu.cn
Keywords: Evaporator, Organic Rankine cycle, Waste heat recovery, Internal combustion engine
Abstract.
Introduction To improve thermal efficiency of an internal combustion engine, an organic Rankine cycle can be employed to recover the waste heat [1].
System Description The schematic of an organic Rankine cycle for engine exhaust heat recovery is shown in Fig. 1.
The results for the working fluids temperatures and the heat transfer quantities are given in Table 1.
Table 1.
Introduction To improve thermal efficiency of an internal combustion engine, an organic Rankine cycle can be employed to recover the waste heat [1].
System Description The schematic of an organic Rankine cycle for engine exhaust heat recovery is shown in Fig. 1.
The results for the working fluids temperatures and the heat transfer quantities are given in Table 1.
Table 1.
Online since: February 2014
Authors: Nikol Žižková, Jitka Hroudová, Jiří Zach
Proportions of sodium liquid glass, distilled water and HCl was 1:8:1. [5]
Because it was not possible to treat fibers and produce isolation mats in laboratory conditions, readymade hemp insulation mats with low volume weight (ca 35 kg.m-3) were used for laboratory tests.
Table 1 below states results of laboratory measurements.
Table 1 Overview of results of choosed properties of insulations Admixture Aplication ρ [kg.m-3] Wp [kg.m-2] u23,80 [%] λdry [W.m-1.K-1] λ23,80 [W.m-1.K-1] REF - 38 2,17 14,6 0,0436 0,0626 HDTMS N 39 0,57 14,2 0,0443 0,0590 TMEVS N 38 0,83 14,4 0,0463 0,0618 VS W 38 1,71 17,9 0,0453 0,0682 VS+HCl S 31 1,78 20,7 0,0479 0,0674 VS+HCl+HDTMS S 31 1,69 21,4 0,0495 0,0711 Lukofob N 40 1,61 14,8 0,0487 0,0645 Draxil N 29 0,72 11,8 0,0475 0,0622 Tagal N 29 0,36 11,6 0,0505 0,0675 Notes: N-spraing, S- sol-gel method, W- soaking The experiments showed, that hydrophobizing adjustments considerably influenced water-absorbing capacity of thermo insulating mats based on hemp fibers.
Treating with hydrophobizing agents was aimed at achieving short-term water absorbing capacity below 1 kg.m-2.
References [1] Zhenqxiong Li, Yanjun Xing, Jinjin Dai: Superhydrophobic surfaces prepared from water glass and non-fluorinated alkylsilane on cotton substrates.
Table 1 below states results of laboratory measurements.
Table 1 Overview of results of choosed properties of insulations Admixture Aplication ρ [kg.m-3] Wp [kg.m-2] u23,80 [%] λdry [W.m-1.K-1] λ23,80 [W.m-1.K-1] REF - 38 2,17 14,6 0,0436 0,0626 HDTMS N 39 0,57 14,2 0,0443 0,0590 TMEVS N 38 0,83 14,4 0,0463 0,0618 VS W 38 1,71 17,9 0,0453 0,0682 VS+HCl S 31 1,78 20,7 0,0479 0,0674 VS+HCl+HDTMS S 31 1,69 21,4 0,0495 0,0711 Lukofob N 40 1,61 14,8 0,0487 0,0645 Draxil N 29 0,72 11,8 0,0475 0,0622 Tagal N 29 0,36 11,6 0,0505 0,0675 Notes: N-spraing, S- sol-gel method, W- soaking The experiments showed, that hydrophobizing adjustments considerably influenced water-absorbing capacity of thermo insulating mats based on hemp fibers.
Treating with hydrophobizing agents was aimed at achieving short-term water absorbing capacity below 1 kg.m-2.
References [1] Zhenqxiong Li, Yanjun Xing, Jinjin Dai: Superhydrophobic surfaces prepared from water glass and non-fluorinated alkylsilane on cotton substrates.
Online since: November 2017
Authors: Jun Hong Lin, Yan Fu Huang, Hao Wei Wu, Jia Hua Li, Yu Ting Zeng
The best fitted data are shown in table 1.
Table 1 Is the best fitting parameter of VTF curves.
As can be seen all the samples following the Debye-Stokes-Einstein relation i.e. the conductivity versus the segmental frequency shows a slope of 1 in a log-log plot.
References [1] Abeykoon NC, Bonso JS, and Ferraris JP.
Journal of Power Sources 2011; 196(23): 0479-10483.
Table 1 Is the best fitting parameter of VTF curves.
As can be seen all the samples following the Debye-Stokes-Einstein relation i.e. the conductivity versus the segmental frequency shows a slope of 1 in a log-log plot.
References [1] Abeykoon NC, Bonso JS, and Ferraris JP.
Journal of Power Sources 2011; 196(23): 0479-10483.
Online since: May 2007
Authors: Jian Hua Liu, Jun Xiu Shi, Song Mei Li, Jun Lan Yi
Although the problem can
be avoided by using same material, this is not always possible [1].
Galvanic couples evaluated in the paper were shown in Table 1.
The corrosion test was conducted in 550mL of 3.5% NaCl solution under 30±1℃.
From the curves indicated in Fig.1, the Ig value of B1, B2, B3 galvanic couples were higher than corresponding A1, A2, A3 couples respectively, especially at the beginning of the test.
OM images of Ni-electroplated 30CrMnSiA steel: (a) before test; (b) after test in couple A1; (c) after test in couple B1 Fig.1.
Galvanic couples evaluated in the paper were shown in Table 1.
The corrosion test was conducted in 550mL of 3.5% NaCl solution under 30±1℃.
From the curves indicated in Fig.1, the Ig value of B1, B2, B3 galvanic couples were higher than corresponding A1, A2, A3 couples respectively, especially at the beginning of the test.
OM images of Ni-electroplated 30CrMnSiA steel: (a) before test; (b) after test in couple A1; (c) after test in couple B1 Fig.1.
Online since: June 2010
Authors: José María González-Calbet, M.L. Ruiz-González
Figure 1.
References 1.
Yamamoto JEOL News 43 (1), 2 (2008) 27.
Nath, Dalton Trans, 1 (2003) 36.
Mihailovic, Science 292, 479 (2001) 39.
References 1.
Yamamoto JEOL News 43 (1), 2 (2008) 27.
Nath, Dalton Trans, 1 (2003) 36.
Mihailovic, Science 292, 479 (2001) 39.
Online since: December 2015
Authors: C. Chi, G. Etuk-Udo, S.O. Dozie-Nwachukwu, Karen Malatesta, W.O. Soboyejo, O.S. Odusanya, Nicolas Anuku, J.D. Obayemi
Dozie-Nwachukwu,1,2 G.
Obayemi,1,3,4 N.
Anuku,5,6 O.S Odusanya,1,2 K.
Eng. 14(1) (2006) 114- 117
Phytochemistry 479(1998) 35–959
Obayemi,1,3,4 N.
Anuku,5,6 O.S Odusanya,1,2 K.
Eng. 14(1) (2006) 114- 117
Phytochemistry 479(1998) 35–959
Online since: January 2020
Authors: A.G. Barbosa de Lima, Thayze Rodrigues Bezerra Pessoa, E. da Silva, Pierre Correa Martins, V. Campos Pereira, A. Silva do Carmo
References
[1] G.V.
Revista Verde de Agroecologia e Desenvolvimento Sustentável. 6 (1) (2011) 1-7.
E.J.A.S.T.1 (1)(2010) 1–15
Food Eng. 87 (4)(2008) 479–484
Pres. 41 (3) (2017) 1-16
Revista Verde de Agroecologia e Desenvolvimento Sustentável. 6 (1) (2011) 1-7.
E.J.A.S.T.1 (1)(2010) 1–15
Food Eng. 87 (4)(2008) 479–484
Pres. 41 (3) (2017) 1-16
Online since: July 2013
Authors: Rajesh J. Tayade, T.K. Pathak, N.H. Vasoya, Thillai Sivakumar Natarajan, Kunal B. Modi
Table 1.
References [1] R.
Nano Tech. 2011 (2011) 1-6
Borse, Synthasis of solar active nano crystalline ferrite, MFe2O4 (M; Ca, Zn, Mg ) photo catalyst by microwave irradiation, Solid State Commun. 151 (2011) 470-479
Tech., 87 (2012) 1-14
References [1] R.
Nano Tech. 2011 (2011) 1-6
Borse, Synthasis of solar active nano crystalline ferrite, MFe2O4 (M; Ca, Zn, Mg ) photo catalyst by microwave irradiation, Solid State Commun. 151 (2011) 470-479
Tech., 87 (2012) 1-14
Online since: May 2020
Authors: Khalifa Mansouri, Abdelmoula Ait Allal, Mohamed Youssfi, Yousra Melhaoui, Abdelali Kamil
Fig. 1.
Root nodes marginal probability distribution Root nodes state Root nodes’ MPDs P(Pp) P(Dr) P(Cl) P(Fl) P(Pi) P(Vv) P(Cp) P(Ss) P(Co) 1 1−𝑒−𝜆Pp𝑡 1−𝑒−𝜆Dr𝑡 1−𝑒−𝜆Cl𝑡 1−𝑒−𝜆Fl𝑡 1−𝑒−𝜆Pi𝑡 1−𝑒−𝜆Vv𝑡 1−𝑒−𝜆Cp𝑡 1 − 𝑒−𝜆Ss𝑡 1 − 𝑒−𝜆Co𝑡 2 𝑒−𝜆Pp𝑡 𝑒−𝜆Dr𝑡 𝑒−𝜆Cl𝑡 𝑒−𝜆Fl𝑡 𝑒−𝜆Pi𝑡 𝑒−𝜆Vv𝑡 𝑒−𝜆Cp𝑡 𝑒−𝜆Ss𝑡 𝑒−𝜆Co𝑡 Table 5.
Conditional Probability Distributions (CPDs) for the node AF Root nodes state Root nodes’ CPDs Co Fl Vv P(AF=1| Co, Fl, Vv) 1 1 1 1 1 2 1 1 1 2 2 1 1 1 2 1 2 1 1 1 2 2 1 1 2 1 2 1 2 2 2 0 Probabilistic inference.
References [1] European Maritime Safety Agency(EMSA).
Procedia, vol. 50, pp. 473–479, 2013
Root nodes marginal probability distribution Root nodes state Root nodes’ MPDs P(Pp) P(Dr) P(Cl) P(Fl) P(Pi) P(Vv) P(Cp) P(Ss) P(Co) 1 1−𝑒−𝜆Pp𝑡 1−𝑒−𝜆Dr𝑡 1−𝑒−𝜆Cl𝑡 1−𝑒−𝜆Fl𝑡 1−𝑒−𝜆Pi𝑡 1−𝑒−𝜆Vv𝑡 1−𝑒−𝜆Cp𝑡 1 − 𝑒−𝜆Ss𝑡 1 − 𝑒−𝜆Co𝑡 2 𝑒−𝜆Pp𝑡 𝑒−𝜆Dr𝑡 𝑒−𝜆Cl𝑡 𝑒−𝜆Fl𝑡 𝑒−𝜆Pi𝑡 𝑒−𝜆Vv𝑡 𝑒−𝜆Cp𝑡 𝑒−𝜆Ss𝑡 𝑒−𝜆Co𝑡 Table 5.
Conditional Probability Distributions (CPDs) for the node AF Root nodes state Root nodes’ CPDs Co Fl Vv P(AF=1| Co, Fl, Vv) 1 1 1 1 1 2 1 1 1 2 2 1 1 1 2 1 2 1 1 1 2 2 1 1 2 1 2 1 2 2 2 0 Probabilistic inference.
References [1] European Maritime Safety Agency(EMSA).
Procedia, vol. 50, pp. 473–479, 2013