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Since then, the mechanical response of different materials under different impact velocity begun to attract attention by scholars.
When it comes to simulation on crack proagation of heterogeneous materials, based on theory of meso-linear nature of Weibull distribution and meso-structure linear behavior of materials can reflect the principle of macro-nonlinear behavior, RFPA(The realistic failue process anlysis) has been widely used to investigating the failure process of heterogeneous materials.
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It is widely used due to easy obtainment of raw materials, simple technology, low cost, convenience and excellent adhere performance [1].
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Subsequently, products prepared using these optimized raw materials can show better or even new properties.
Lot of other materials is investigated worldwide, focusing also on the ability of powdered material act as pozzolana or inactive micro-filler.
These materials were expected as a micro-filler - substitution of natural aggregate (NA) in 0/4 fraction.
Bumanis, Bore-silicate glass waste of lamp as a micro-filler for concrete, in: Academic Journal Construction Science, vol. 10, 2009, p. 131
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Influences of grain size on electrochemical corrosion behaviors of nickel-based Alloy 718, Materials Science Forum, 852(2016), 105-112
Age-hardenable superalloys, Advanced Materials & Processes, 163(2005), 37-42
Heat treatment research of a Ni-based superalloy used as exhaust valves in internal combustion engines, Journal of Jiangsu University of Science and Technology, 31(2017), 740-745
Kinetics of austenite grain growth in medium-carbon niobium-bearing steel, Journal of Zhejiang University-SCIENCE A, 12(2011), 171-176
Effect of heat treatment on mechanical properties and microstructure of NST 37-2 Steel, Journal of Minerals & Materials Characterization & Engineering, 10(2011), 299-308.

The error values are well within limits of -0.06% and -0.09% for both the materials.
From both economic and safety point of view it is necessary to predict the life before failure and get proper utilization of materials.
The summary of network architecture for both the materials have been provided in Tab.3.
Hence it may also be concluded that ANN can be a very effective tool for predicting the fatigue life of materials.
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Extrusion Welding in Aluminium Extrusion, International Journal of Materials & Product Technology, vol. 17, pp.497-556
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Maier, A new method for determining dynamic grain structure evolution during hot aluminum extrusion, Journal of Materials Processing Technology Vol. 212 (1) 2012, pp. 323–330
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Experimental Method Raw Materials.
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