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Figure 9. The regression surface, case of HB=f(Mn,P) Figure 8. Correlation diagram, case of HB=f(Si,P)

Figure 9 The regression surface, case of HB=f(Mn,P) Figure 8. Correlation diagram, case of HB=f(Si,P)

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Figure 2. The usual phosphorus content variation in the analyzed cast irons destined for brake shoes manufacturing A common characteristic constituent of gray iron microstructures is the phosphorus ternary eutectic known as steadite (Fe3C + Fe3P + P). The characteristic property of this system is a large area of the ternary phosphorous eutectic due to the strong tendency for phosphorus to segregate. The form of the phosphorus eutectic depends on the chemical composition of the gray iron (Fig. 2). In iron with an average tendency to graphitization and a phosphorus content of approximately 0.4%. The microstructure of each cast iron destined to the brake shoes is composed of steadite, cementite and flaky graphite distributed in pearlitic matrix. The high content of phosphorous improves the friction — wear behavior of such cast iran [12—15].
Figure 2. The usual phosphorus content variation in the analyzed cast irons destined for brake shoes manufacturing A common characteristic constituent of gray iron microstructures is the phosphorus ternary eutectic known as steadite (Fe3C + Fe3P + P). The characteristic property of this system is a large area of the ternary phosphorous eutectic due to the strong tendency for phosphorus to segregate. The form of the phosphorus eutectic depends on the chemical composition of the gray iron (Fig. 2). In iron with an average tendency to graphitization and a phosphorus content of approximately 0.4%. The microstructure of each cast iron destined to the brake shoes is composed of steadite, cementite and flaky graphite distributed in pearlitic matrix. The high content of phosphorous improves the friction — wear behavior of such cast iran [12—15].
Table 1. Chemical compositions of cast iron and steel support
Table 1. Chemical compositions of cast iron and steel support
Figure 4. Correlation diagram, case of HB=f(Cech(I),Cech(II))
Figure 4. Correlation diagram, case of HB=f(Cech(I),Cech(II))
As the second statistical experiment, we analyzed the combined behavior of all chemical elements of gray phosphorus cast iron on the hardness of brake shoes, in several correlations. As a result, regression surfaces and _ correlation diagrams are revealed, presented in the Figs. 5-16. Figure 5. The regression surface, case of HB=f(S,P)
As the second statistical experiment, we analyzed the combined behavior of all chemical elements of gray phosphorus cast iron on the hardness of brake shoes, in several correlations. As a result, regression surfaces and _ correlation diagrams are revealed, presented in the Figs. 5-16. Figure 5. The regression surface, case of HB=f(S,P)
Figure 6. Correlation diagram, case of HB=f(S,P)
Figure 6. Correlation diagram, case of HB=f(S,P)
Figure 7. The regression surface, case of HB=f(Si,P)
Figure 7. The regression surface, case of HB=f(Si,P)
Figure 10. Correlation diagram, case of HB=f(Mn,P)
Figure 10. Correlation diagram, case of HB=f(Mn,P)
Figure 13. The regression surface, case of HB=f(Mn,Si) Figure 12. Correlation diagram, case of HB=f(C,P)
Figure 13. The regression surface, case of HB=f(Mn,Si) Figure 12. Correlation diagram, case of HB=f(C,P)
Figure 14. Correlation diagram, case of HB=f(Mn,Si)
Figure 14. Correlation diagram, case of HB=f(Mn,Si)
Figure 11. The regression surface, case of HB=f(C,P)
Figure 11. The regression surface, case of HB=f(C,P)
Figure 15. The regression surface, case of HB=f(Mn,S)
Figure 15. The regression surface, case of HB=f(Mn,S)
Figure 16. Correlation diagram, case of HB=f(Mn,S) 5. DISCUSSIONS
Figure 16. Correlation diagram, case of HB=f(Mn,S) 5. DISCUSSIONS
Related topics:
EngineeringMechanical EngineeringAutomotive Systems EngineeringAutomotive EngineeringBrake SystemAutomotive designMechanical Engineering DesignCast IronAutomotive TechnologySoil phosphorus
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