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Online since: June 2020
Authors: Anastasija Naumova, Valdis Kampars, Ruta Kampare
Average molecular weight of oil was 896 Da; HHV was 39.860 MJ/kg; density was 0.92 g/ml at 20 °C; saponification value was 186.7 mgKOH/g, and acid value was 0.32 mgKOH/g.
Online since: November 2016
Authors: Prinya Chindaprasirt, Pearploy Thongjapo, Natakorn Thamultree, Phongsathon Boontee, Piyawat Foytong, Patcharapol Posi, Trinh Cao, Pornnapa Kasemsiri
Mater. 47 (2013) 896-901
Online since: July 2016
Authors: Phoumiphon Nordala, Radzali Othman, Ahmad Badri Ismail
Tsuji, Dynamic deformation behavior of ultrafine-grained iron produced by ultrahigh strain deformation and annealing, Journal of Scripta Materialia. 64 (2011) 896-899
Online since: May 2021
Authors: Ze Peng Wang, Xin Tao Fu, Lian Xiang Ma
Treloar, The photoelastic properties of short-chain molecular networks, Transactions of the Faraday Society, 50 (1954) 881-896
Online since: December 2016
Authors: Si Jun Kim, Keun Hyeok Yang, Jae Sung Mun
Specimens W/B (%) S/a (%) Unit weight, (kg/m3) W OPC LHC FA MFA LSP S G Control 35 45 161 368 - 92 - - 743 912 L-27.5 27.5 148 - 432 - 81 27 730 896 L-30 30 162 715 877 L-32.5 32.5 175 699 857 Note: W, OPC, LHC, FA, MFA LSP, S and G are water, ordinary Portland cement, low-heat cement, fly-ash, modified fly-and, lime stone powder, sand and gravel, respectively.
Online since: February 2017
Authors: Seung Jo Lee, Jung Min Park
Type of fiber Density (g/cm3) Tensile strength (MPa) Elasticity modulus (MPa) Diameter (μm) Length (mm) Polypropylene 0.91 325 3400 20 6 Nylon 1.15 896 4500 12 6 Table 3 Physical properties of an aggregate.
Online since: June 2021
Authors: Hu Wang, Zhi Kai Zheng, Si Meng Ren, Shu Lei Li, Hao Wu, Pi Zhi Zhao
Ma,Materials Scienceand Engineering A559(2013) 889-896
Online since: October 2007
Authors: Dagoberto Brandão Santos, R.N. Nolasco, Marcelo A.C. Ferreira, Ronaldo Barbosa
Piercer 1 200 1220 1.44 10 1.32 1 1200 1.65 0.32 0.03 2 1190 2.25 0.29 0.05 3 1180 2.41 0.27 0.05 4 1170 2.34 0.25 0.04 5 1160 1.76 0.24 0.02 6 + transf 1150 0.10 30 0.001 1 1150 7.44 0.48 0.26 2 1130 13.22 0.38 0.23 3 1110 9.16 0.36 0.09 4 1090 8.36 0.34 0.06 5 1070 5.05 0.34 0.02 6 1050 3.56 0.33 0.01 7 + 8 1030 6.23 - 0.02 CB I + TF (Dierct charging route) - 900 - 680 CB I + TF (Cold charging route) dγ→dα→dγ 890 - 480 1 930 1.39 0.25 0.02 2 924 2.29 0.24 0.04 3 919 2.54 0.24 0.05 4 913 2.61 0.24 0.05 5 907 2.23 0.23 0.03 6 901 1.38 0.24 0.01 7 896 0.84 0.24 0.004 8 + CB II 890 0.68 - 0.003 SRM Pass Equipment tip (s) εεεε CMM d0 (µm) T (°C) (1/s) HRM εεεε& Table 2: Details of the hot torsion schedule used for the simulation of the industry process of seamless tube production.
Online since: November 2011
Authors: Sudhir Kumar Sharma, Pravin Chandra
Prechelt, "Investigation of the cascor family of learning algorithms,” Neural Networks 10 (5) , pp 885-896, 1997
Online since: January 2012
Authors: Jia Dan Wei, Qing Tang Deng, Chu Han, Chang Chun Chen, Bo Zhou
IEEE TRANSACTIONS ON Industry Applications, 1996,32(4): 896-903