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Efficient Super-Smooth Finishing Characteristics of SiC Materials through the Use of Fine-Grinding H.
However, SiC materials have difficulties in super-smooth finishing because of their hard and brittle characteristics.
Therefore, SiC materials have increasingly been needed in the wide range of industries.
However, SiC materials have difficulties in super-smooth finishing because of their hard and brittle characteristics.
Kimoto: Materials Integration, Vol. 17 (2004), pp. 3-9, (in Japanese)

Also, applications of X-ray are based on the strong interactions with materials including transmission, absorption, diffraction, reflection, scattering, and emission.
Actually, the amazing effects of X-ray phase-contrast imaging with LEBRA-PXR has been reported.X-ray phase-contrast imaging is not due to absorption by materials but is based on the　phase difference of materials as in phase-difference microscopy.　
Materials and Methods: Subject.
Mori et al, Application of LEBRA-PXR to the diffraction analysis of minerals, Journal of Mineralogical and Petrological Sciences 101 (2006) 10-13
Kuwada, Y Hayakawa, K Nogami et al, Phase Contrast Imaging of Biological Materials using LEBRA‐PXR, AIP Conf.

Journal of Friction and Wear, (2013)
Journal of Friction and Wea, (2013)
Advanced Materials Research (2013)
Journal of friction and wear (2013)
Journal of friction and wear (2013)

“Assessment of braking performance of lapinus–wollastonite fibre reinforced friction composite materials” Journal of King Saud University – Engineering Sciences (2017) 29, 183–190 [2] A.R.
,G W Stachowiak, Review of automotive brake friction materials, Proceedings of the Institution of Mechanical Engineers, Part D: Journal of Automobile Engineering Vol. 218, Issue 9, 2004; pp. 953–966 2004 [4] Kennedy P, Gadd J, (2003).
International Journal of Engineering Science and Technology, 3, 2, 1422-31
Frictional performance evaluation of newly designed brake pad materials.
Materials & Design, 48, 25-33.

Frieß, Computational Materials Science, 28 (2003) 1-15
Herrmann, Computational Materials Science, 28 (2003) 608-619
Tan, Computational Materials Science, 49 (2010) 253-259
Sheng, Computational Materials Science, 50 858-864
Takeda, Materials Science and Engineering: A, 480 (2008) 549-557.

Engineering materials as the main entity of sand table experiment, the optimization of engineering materials is related to the final results of the sand table experiment.
Looking from engineering materials Engineering materials is the main entity of sand table experiment and it can decide the result greatly.
Optimization of engineering materials can be carried out according to the WBS framework.WBS provides clues for optimization of engineering materials.
Science & Technology progress and Policy,(2010)
[3] Gao Lingfeng,Xu Minguang,Dong Zhanling,Weng Qifang.How to Improve Experimental Teaching Quality[J].Natural science journal of Hainan University ,(2005)

Different methods, such as full immersion test, dry-wet cycle test and half immersion test, were developed to simulate sulfate attack process on cementitious materials and thus to evaluate resistance of cementitious materials to sulfate attack[10-11].
Experimental details Raw materials.
The resistance of cementitious materials to such physicochemical attack of sulfate is remarkably influenced by its compositions.
Journal of Building Materials, Vol. 6, No. 4, 2003, pp350-356(in Chinese) [8] M Santhanam, M D.
Study of the fundamental of Sulfate Attack on Cementitious Materials[D].

Vol.48 (1987), p.985-1005 [2] Liviu Marsavina, Tomasz Sadowski and Nicolae Faur: Journal of Mechanical Science and Technology.
Vol.223 (2012), p.1485-1506 [4] Khandelwal R. and J.M.C.Kishen: Journal of Applied Mechanics, Transactions ASME.
Vol.76 (2009), p.1-10 [5] Yang Junru, Li Zhaoqian, Huang Chuanzhen, Zhang Yuekan and Qian Kangkang: Key Engineering Materials.
Vol.375-376 (2008), p.118-122 [6] Junru Yang, Gongling Chen and LiLi Zhang: Advanced Materials Research.
[11] Edit Committee of Handbook of Property Data of Materials for Mechanical Engineering: Handbook of Property Data of Materials for Mechanical Engineering(China Machine Press, Beijing 1995)

In order to reduce the appearance of aviation material mishap, it is important to predict the aviation material mishap for safety management and decision-making body.
Conclusions An aviation material mishap prediction model based on neural network and its BP algorithm is proposed.
The validation example of BP neural network on data series of flight mishap 10000-Hour-Rate shows that the built prediction model of BP neural network can has a good accuracy to aviation material mishap, and it is able to describe the development trend of aviation material safety well and truly.
China Safety Science Journal, 20(6), 2010, 40-44 [3] G.
Journal of Civil Aviation University of China, 24(1), (2006), 53-56 [6] H.

They can be used according to the percentage of carbon content the materials.
Journal Materials Science 2112-2118, (1993)
Journal of Material Science Letters 1506-1509, (1994)
Effect of Heat Treatment on the Microstructure and Mechanical Properties of Low Carbon Steel, Journal of Engineering, Science and Technology, Vol 1, (2000)
[8] Metallography Laboratory Experimental Manual, Department of Metallurgy and Materials Engineering Faculty, University of Indonesia, (2008-2009)