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Online since: June 2013
Authors: Jian Feng Zhou
Chaos”, Solitons & Frac-tals, Vol.32, No.4, PP.896-910,2007
Online since: July 2015
Authors: Xiao Fei Ma
Young’s modulus [Pa] Poisson’s ratio Density [Kg·m-3] Thermal conductivity[N/(s·˚C] Specific heat [N/(mm2·˚C)] AA6005 4.0E+10 0.35 2700 180 896 H13 2.1E+11 0.35 7870 24.3 460 Table 2 Gives the parameters for simulation Billet diameter/mm Billet length /mm Extru- sion ratio Initial temperature of billet/˚C Initial temperature of tool/˚C Heat convection coefficient/˚C Ram speed /(mm/s) 360 720 41.5 500 480 480 1 After simulation the velocity distribution which is shown in figure 4 is analyzed.
Online since: July 2011
Authors: Jing Kun Yu, Fei Xiong Mao, Shi Wei Liu
Zirkl: 9th Biennial Worldwide Congress on Refractories (2006), p 896-899 [2] Zhang Longqiang, Tian Naiyuan, Xu Anjun: Steel making, vol. 1 (2008), p 58
Online since: July 2015
Authors: Rozaini Roslan, Habibi Saleh, Ishak Hashim, M. Abdulhameed
Mag. 12 (1931) 865–896
Online since: May 2017
Authors: Philippe Godignon, Josep Montserrat, José Millán, Victor Soler, Maria Cabello, José Rebollo, Narcis Mestres
., vol. 35, no. 9 (2014), 894–896
Online since: February 2012
Authors: De Lin Hua
Chaos”, Solitons & Frac-tals, Vol.32, No.4, PP.896-910,2007
Online since: February 2012
Authors: Hong Xiang Wang, Wen Sheng Zhang, Tao Xu, Hong Du
Algorithm optimization process is shown in Figure 1, the resulting combination of cutting parameters is shown in Table 1, the cutting time and production cost are 78.6s and 52.2 RMB respectively, however the results are 896.3s and 4445.8 RMB respectively before the optimization.
Online since: August 2011
Authors: Li Ping Qin, Yuan Jun Yan
Proceedings of the Internatioanl Conference on Mechanical Engineering and Mechanics 2007, Wuxi, China. 2007: 896-899
Online since: September 2020
Authors: Mai Ha Phan, Ngo Ha Quang Thinh, Tien Trung Kieu, Linh Y Thai
Category Unit Month 1 Month 2 Month 3 Month 4 Month 5 Max 1 Fertilizers Box 2084 1944 1957 2036 2313 2313 2 Pesticides Box 1836 1859 1786 1885 1845 1885 3 Herbicides Box 1173 1464 1045 1382 1509 1509 4 Fungicides Box 1485 1304 1161 1333 1197 1485 5 Snail pesticides Box 519 560 663 637 567 663 6 Other Box 673 751 686 832 896 896 7 Promotion goods Box 382 400 491 438 481 481 Total Box 7095 7131 6612 7272 7431 7855 Table 3 Number of required pallets.
Category Maximum demand (1) Number of boxes in a pallet (2) Number of pallets (=1/2) 1 Fertilizers 2313 16 145 2 Pesticides 1885 16 118 3 Herbicides 1509 24 63 4 Fungicides 1485 36 41 5 Snail pesticides 663 48 14 6 Other 896 16 56 7 Promotion good 481 24 21 Total 458 According to calculation, the highest storage demand for 7 product families is about 458 pallets compared to the capacity of 504 pallets.
Online since: January 2012
Authors: Henryk Dyja, Marcin Kwapisz, Konrad Błażej Laber
Groove type Band output speed, [m/s] Band average temperature, [°C] before pass after pass 1H Box 0,21 1120 1110 2V Box 0,27 1103 1094 3 H Box-oval 0,37 1088 1081 4V Round 0,49 1075 1070 5 H Oval 0,72 1064 1059 6V Round 0,98 1054 1052 7 H Oval 1,35 1041 1040 8V Round 1,86 1037 1038 9 H Oval 2,48 1037 1038 10V Round 3,33 1036 1040 11 H Oval 4,39 1037 1038 12V Round 4,96 1035 1037 13 H Accelerated cooling 14V 15 H - 16V - 17 H Oval 6,34 898 898 18V Round 7,56 896 896 H – horizontal rolling stand, V – vertical rolling stand Example temperature distribution for the rolling stand no.18 from the performed computer simulations which allowed for accelerated cooling after rolling stand no. 12 are shown in fig. 3.