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Obtained regression model of dependence changes in the parameters of perlite on the cooling rate




 

BOLSHAKOV V. I.1 Dr. Sc. (Tech.), Prof.,

LAUKHIN D. V.2, Dr. Sc. (Tech.), Prof.,

BEKETOV A. V.3, Ph. D., Assos.prof.,

TYUTEREV I. A.4, Ph. D., Assos.prof.,

 

Annotation. Purpose. Construction of regression models describing the change of parameters kvazievtektoida and hardness of the cooling rate of the austenite low-carbon low-alloy steels. Methodology. The material for this study was selected low-carbon low-alloy steel 09G2S. The structure, fine structure and hardness of the steel after different treatments laboratory. Based on these data the regression model of the relationship between the parameters and the hardness of the pearlite structure by heat treatment conditions (cooling rate). Findings. Research efforts showed change the pearlite structure of the steel component 09G2S depending on the cooling rate. Thus, it is not revealed significant changes in the morphology of the ferrite component. Obtained regression model of the relationship interlamellar distance in pearlite and hardness of the cooling rate. Originality. Steel 09G2S established a quantitative relationship between the parameters of pearlite component (interlamellar distance) and properties (hardness). Practical value. Understanding the mechanisms of structural changes and to obtain quantitative laws describing the formation of structural components, enables you to control the structure and properties of the finished metal products for the construction of metal structures.

 

Keywords: structure; The fine structure; interlamellar distance; regression models; quasi-Newton method residues

 


 

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092 : C-0,11; Mn-1,40; Si-0,55; S-0,016; P-0,014; Cr-0,3; Ni-0,15; Cu-0,20; Ti-0,003; As-0,03; N-0,01; Mo-0,03; V-0,009; Nb-0,006; Fe-. ( ) : σ=514 , σ=376 , δ5=29%, KCV-60=125 /2.

 

 

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(S0) / Microstructure of the steel after 10G2FB ohlaStatistichesky analysis of measurement results interlamellar distance (S0) in the pearlite colonies and hardness for all the studied cooling rates

n, / , , , ,
(D)
0,04   0,097 0,100 0,070 0,120 0,0003 0,0171
0,15   0,068 0,070 0,050 0,090 0,0002 0,0139
0,9   0,074 0,080 0,050 0,100 0,0003 0,0184
    0,114 0,100 0,100 0,150 0,0004 0,0207
, HV
0,04           54,00 7,3485
0,15           23,56 4,8534
0,9           8,44 2,9059
            6,67 2,5820

 

. 5. : ; / he resulting regression models: a - interlamellar distance dependence of the

cooling rate; b - the hardness and the cooling rate

 

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. 6. . : ; / Checking the adequacy of the model. Schedule distribution of residues on normal probability paper: a - interlamellar distance dependence of the cooling rate; b - the hardness and the cooling rate

 

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. 7. . : ; / Checking the adequacy of the model. Distribution residues: a - interlamellar distance dependence of the cooling rate; b - the hardness and the cooling rate

 

 

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