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Online since: January 2012
Authors: Guo Bing Li, Hai Lin, Yan Li Ma, Yi Su
Experiment part Experimental raw material yellow phosphorus slag: obtained from Chengjiang phosphorus chemistry industry company in Yunnan province.
When the nitric acid concentration used is 4% the Fe content can be decreased from 0.315% in the raw material to 0.047%.
Cheng, “Overview of Current Status and Development Trend of the Yellow Phosphorus Industry in China,” Sulphur Phosphorus & Bulk Materials Handling Related Engineering, no. 4, pp. 10-20, Aug. 2006
Xia, “Experimental Study of Leaching Yellow Phosphorus Slag by Phosphoric Acid,” Journal of Solid Waste Technology and Management, vol. 36, no. 1, pp. 39-43, Feb. 2010
Xia, “Kinetic Study of Fe Removal From Precipitated Silica Prepared From Yellow Phosphorus Slag,” The Canadian Journal of Chemical Engineering, vol. 87, no. 4, pp. 610-613, Aug. 2009.
Online since: January 2012
Authors: Zhong Hua Ma, De Jun Liu, Qi Feng
The model is composed of a resistivity logging instrument, non-vacuum borehole, and five layers in the formation material with varying resistivities.
The geometry, sources, receivers, and materials used in the present study are illustrated in Fig. 1.
Acknowledgments The work for this paper was supported by the National Natural Science Foundation of China under Projects No. 41074099.
Ma: Journal of Computational Physics.
Andrs: Journal of Computational and Applied Mathmatics.
Online since: October 2011
Authors: Jian Bing Men, Jian Wei Jiang, Shu You Wang
Numerical Study on the Equivalent Target for Deep Penetration Shuyou Wanga, Jianbing Menb, Jianwei Jiangc State Key Laboratory of Explosion Science and Technology, Beijing Institute of Technology, Beijing, 100081, China awangsy@bit.edu.cn, bmenjb@bit.edu.cn, cbitjjw@bit.edu.cn Keywords: Penetration, Boundary effects, numerical model, the diameter ratio of target to projectile Abstract.
Lagrange algorithm is used, the material strength model of projectile, filler and concrete target, are shown in table 1.
Fig. 2 Numerical model Table 1 Material model for projectile and target Material EOS Strength model Damage rule Erosion Projectile Shock Johnson-cook / / Filler Linear Von-mises / / Concrete P-α RHT RHT use The mesh sized and type are factors related to the accuracy of computation results, for dynamic loading, the strain rate in material constitutive are important.
Incremental deformation and penetration analysis of deformable projectile into semi-infinite target[J].International Journal of Solids and Structure,2006,43(3):569-582 [5] A.Dawson.
Hypervelocity penetration of concrete[J].International Journal of Impact Engineering, 2008,35(12):1484–1489
Online since: July 2012
Authors: Yu Ping Dong, Fei Qiang Guo
Experimental Feed material The herb residues in this study is provided by Henan Wanxi Pharmaceutical Co., Ltd.
This gasification plant can treat 4.5~7.5 tons of feedstock materials per day.
Journal of Agro-Environment Science. (2006) [3] Wang, P., S.
Biomass gasification in a catalytic fluidized reactor with beds of different materials.
Chemical Engineering Journal(2009)
Online since: April 2013
Authors: Jin Yong Xu, Yan Tang, Xiao Chao Shi, Cheng Gao, Gui Wang
Material properties were modified.
Also because electric field strength of (b) mode is stronger, the energy used to breakdown coatings is more sufficient on unit area, then, discharge channels are constantly generated, from which more molten materials are erupted out, Fig.2 just verify the difference.
Feng, Journal of Chang’an University.
Tong, Materials Protection Vol. 44 (2011), P. 67
Wang: Journal of Shenyang Industrial University.
Online since: October 2010
Authors: Pu Xing, Xiu Jie Yin, Jing Yun Zhao, Chuan Long Zhang
Among the research, the bio-diesel has greater prospects, because of its extensive system of taking raw materials, process optional good without replacing or modifying the engine.
Furthermore, the emissions generated particulate, hydrocarbon materials, sulfur dioxide and other substances reduce significantly, which is good for environmental protection.
Beijing, Science Press, 2000.9.[ In Chinese]
Journal of the American Oil Chemists' Society, Volume 84, Number 2 .2007.2
Journal of the American Oil Chemists' Society, Volume 80, Number 11. 2003.
Online since: February 2006
Authors: Michael N. Morgan, Chao Liu, Z.F. Wang, Bin Lin
The energy generated per unit volume of material removal during grinding is much bigger than for other conventional machining operation [1], and virtually all of this energy is converted to heat within the grinding zone.
The total grinding heat flux can be defined as fchswt qqqqq +++= (8) and where c st c t lb VF lbP q ⋅ ⋅ = ⋅ = (9) and the heat flux to the workpiece wq , wheel sq , fluid fq and chips chq may be expressed in terms of convention/conduction factors defined in relation to maximum contact temperature under fluid condition maxT and material melting temperature mpT as follows: maxThq ww ⋅= , maxThq ss ⋅= , maxThq ff ⋅= , mpchch Thq ⋅= (10) Where flux to the chips was estimated from the limiting chip energy to raise the chip material close to melting, taking the mean value of specific heat from ambient temperature to melting point, the limiting chip energy is approximately 6 J/mm 3 for ferrous materials [5, 8].
Rowe: International Journal of Machine Tool & Manufacture, Vol. 41 (2001), pp.1
Malkin: Journal of Engineering for Industry, Vol. 114 (1992), pp.427
Carslaw and Jaeger, J.C.: Conduction of heat in solids, ( Oxford Science Publications, Oxford University Press, Oxford 1959) [8] W.B.
Online since: December 2012
Authors: Liviu Palaghian, Mihaela Buciumeanu, Valentin Mereuta
Field et. al. [1, 2] studied the influence of material processing on the superficial layer and structural modifications.
Clancy, Fatigue performance of machined surfaces, Fatigue and Fracture of Engineering Materials and Structures 14 (2-3) (1991) 329–336
Williams, Estimating the fatigue stress concentration factor of machined surfaces, International Journal of Fatigue 24 (2002) 923–930 [12] D.
Weber, Improving Fatigue Strength of Metals Using Abrasive Waterjet Peening, Machining Science and Technology, 10 (2006) 197–218
Ko, Effect of surface roughness on step-wise S–N characteristics in high strength steel, International Journal of Fatigue, Volume 25 Issue 5 2003 379-385.
Online since: May 2014
Authors: Hsueh Chien Hou, Yu Ren Wu
Referring to the reference presented by Fu [9], the normal contact force defined in ADAMS is represented as the following equation: (1) where STEP is the function for simulation step control, is the displacement avriable, is the velocity variable, is the initial displacement where contact occurs, denotes the stiffness coefficient, C denotes the dampling coefficient, is the penetration depth of contact surfaces (dampling will target the setting value over this depth), is the stiffness curve exponent, in experience, 2.2 for hard metal materials, 1.5 for soft metal mateirals, 1.1 for rubber materials.
Steel material properties using in the paper are listed in Table 2.
Ma, Simulation study on contact stress of gear tooth, Journal of Mechanical Transmission, 31 (2) (2007) 26-28
Lei, Optimization and analysis of tooth profile based on Romax and KISSsoft software, Journal of Mechanical Transmission, 35 (2) (2011) 5-8
Chao, Multi-body contact dynamic modeling of gear transmission, Journal of Mechanical Transmission, 33 (1) (2009) 15-19
Online since: June 2011
Authors: Li Ma, Ke Chao Zhou, Lei Zhang, Zhi You Li
Materials Chemistry and Physics Vol. 115(2009), p.578 [4] Harris VG, Geiler A, Chen Y, Yoon SD, Wu M, Yang A, Chen Z, He P, Parimi PV, Zuo X, Patton CE, Abe M, Acher O, Vittoria C.
Journal of Magnetism and Magnetic Materials Vol. 321(2009), p.2035 [5] Dube GR, Darshane VS.
Journal of Materials Science Letters Vol. 19(2000), p.775 [7] Tian ZL, Lai YQ, Li J, Liu YX.
Journal of Magnetism and Magnetic Materials Vol. 242-245(2002), p.529 [11] Venzke S, Van Dover RB, Phillips JM, Gyorgy EM, Siegrist T, Chen CH, Werder D, Fleming RM, Felder RJ, Coleman E, Opila R.
Materials Chemistry and Physic Vol. 86(2004), p.375 [15] Sartale SD, Lokhande CD, Giersig M, Ganesan V.