Prime Coloring of Crossing Number Zero Graphs

In this paper, prime coloring and its chromatic number of some crossing number zero graphs are depicted and its results are vali-dated with few theorems. Prime Coloring is defined as G be a loop less and Without multiple edges with n distinct Vertices on Color class C={c1,c2,c3,…..cn} a bijection ψ:V {c1,c2,c3,…..cn} if for each edge e = cicj ,i≠j , gcd{ ψ (ci), ψ (cj)}=1, ψ (ci) and ψ (cj) receive distinct Colors. The Chromatic number of Prime coloring is minimum cardinality taken by all the Prime colors. It is denoted by η (G)

The impact of pressure die casting process parameters on mechanical properties and its defects of A413 aluminium alloy

The objective taken in consideration towards this research is to bring about a model that consisting of an effective process that helps in developing towards the map process parameters of quality characteristics of a diesel engine head of aluminium alloy. Multi response optimization was carried out to predict and analyze the mechanical properties of A413 aluminium alloy that was produced utilizing the pressure die casting process. The injection pressure (A) Kgf/cm2, shot velocity (B) m/s and furnace temperature (C) °C were taken in selection as the parameters that were influenced the output responses such as micro-hardness (MH) and surface roughness (Ra). The value of 0,607 was met at a high desirability in the objective of multi response optimization

On roughness measurement by angular speckle correlation

In this work, the influence of both characteristics of the lens and misalignment of the incident beams on roughness measurement is presented. To investigate how the focal length and diameter affect the degree of correlation between the speckle patterns, a set of experiments with different lenses is performed. On the other hand, the roughness when the beams separated by an amount are non-coincident at the same point on the sample is measured. To conclude the study, the uncertainty of the method is calculated

The impact of pressure die casting process parameters on mechanical properties and its defects of A413 aluminium alloy

The objective taken in consideration towards this research is to bring about a model that consisting of an effective process that helps in developing towards the map process parameters of quality characteristics of a diesel engine head of aluminium alloy. Multi response optimization was carried out to predict and analyze the mechanical properties of A413 aluminium alloy that was produced utilizing the pressure die casting process. The injection pressure (A) Kgf/cm2, shot velocity (B) m/s and furnace temperature (C) °C were taken in selection as the parameters that were influenced the output responses such as micro-hardness (MH) and surface roughness (Ra). The value of 0,607 was met at a high desirability in the objective of multi response optimization

The impact of pressure die casting process parameters on mechanical properties and its defects of A413 aluminium alloy

The objective taken in consideration towards this research is to bring about a model that consisting of an effective process that helps in developing towards the map process parameters of quality characteristics of a diesel engine head of aluminium alloy. Multi response optimization was carried out to predict and analyze the mechanical properties of A413 aluminium alloy that was produced utilizing the pressure die casting process. The injection pressure (A) Kgf/cm2, shot velocity (B) m/s and furnace temperature (C) °C were taken in selection as the parameters that were influenced the output responses such as micro-hardness (MH) and surface roughness (Ra). The value of 0,607 was met at a high desirability in the objective of multi response optimization