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Ser. 896 012047 [24] Yanagida, A., Azushima, A., Evaluation of coefficients of friction in hot stamping by hot flat drawing test, CIRP Annals- Manufacturing Technology 58 (2009) 247-250 [25] Ghiotti, A., Bruschi, S., Borsetto, F., Tribological characteristics of high strength steel sheets under direct press hardening conditions, Journal of Materials Processing Technology 211 (2011) 1694-1700 [26] Hardell, J., Kassfeldt, E., Prakash, B., Friction and wear behaviour of high strength boron steel at elevated temperatures of up to 800 C, Wear 264 (2008) 788-799 [27] Tomala, A., Rodriguez Ripoll, M., Badisch, E., Tool-Solid Lubricant-Workpiece interactions in High Temperatures Applications, Procedia Engineering 68 (2013) 626-633 [28] Windmann, M., Röttger, A.

Year Te.mean Te.max Te.min Te.amp RHe.mean RHe.max RHe.min RHe.amp SRsum SRmax RNsum RNmax (°C) (%) (kWh/m2) (W/m2) (mm) (mm/h) 2010 21.59 36.7 2.7 34.0 73.34 100 19 81 1389.26 979 2389.8 99.1 2011 21.83 36.7 2.5 34.2 80.46 99 20 79 1261.31 976 1661.4 79.7 2012 21.70 36.2 3.6 32.6 79.62 100 17 83 1290.05 992 1842.7 43.3 2013 21.87 36.8 1.7 35.1 77.18 98 13 85 1290.32 934 2090.2 44.4 2014 22.39 37.4 4.9 32.5 77.03 100 19 81 1291.76 992 2234.0 56.1 2015 22.11 37.0 1.3 35.7 80.87 100 16 84 1244.65 971 2471.9 90.4 2016 22.24 37.9 4.5 33.4 79.25 100 19 81 1339.67 1025 2937.9 71.6 2017 22.31 36.8 1.4 35.4 80.44 100 20 80 1220.24 896 2089.3 78.8 2018 22.82 37.0 6.4 30.6 80.61 100 17 83 1339.10 1047 1870.8 63.2 2019 22.63 36.9 1.9 35.0 72.00 100 12 88 1090.04 978 2460.3 54.7 Max.value 22.82 80.87 1389.26 2937.9 Min.value 21.59 72.00 1090.04 1661.4 Ave.value 22.15 78.08 1275.64 2204.8 Deviations* 5.55% 11.36% 23.46% 57.90% Note: The location of Guangzhou city weather

Life Sci. 48: 893-896

Wear 255-229, 896-904 (1999) [5] Haibing M., Jing L., Huan Ch., Guangzhi Z., Yi Y., Tianhui R., Yidong Z.: XPS and XANES characteristics of tribofilms and thermal films generated by two P- and/or S- containing additives in water-based lubricant.

Table 3 Error records of creep prediction of geotechnical network by BP network Predictive value Actual value difference/% 0.9694 0.9696 0.21 0.9784 0.9985 0.74 0.9937 1.0000 0.63 Table 4 Error records of creep prediction of geogrid based on BP network Predictive value Actual value difference/% 0. 896 1 0. 894 8 - 0. 14 0. 947 3 0. 947 4 0. 01 0. 990 9 1. 000 0 0. 91 Conclusion The improved BP algorithm makes its prediction error much improved.

Morita, Surface photovoltage measurements of intrinsic hydrogenated amorphous Si films on Si wafers on the nanometer scale, Physica B 376-377 (2006) 893-896

During the testing of horizon X-3 (perforation intervals 896–885 m and 882–840 m), a commercial gas inflow was obtained at a rate of 4.0 thousand m³/day on a choke of Ø 4.01 mm, with reservoir/wellhead pressures of 1.57/2.21 MPa and a flowing pressure of 4.6 MPa.

., 79, pp 896-902

China, Vol.16 (2006), pp. 892-896 14.

Applied Surface Science, 2019,479:896-902