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https://open.uns.ac.rs/handle/123456789/1808
Nаziv: | Statistical research using the multiple regression analysis in areas of the cast hipereutectoid steel rolls manufacturing | Аutоri: | Kiss I. Alexa V. Serban S. Rackov, Milan Čavić, Maja |
Dаtum izdаvаnjа: | 12-јан-2018 | Čаsоpis: | IOP Conference Series: Materials Science and Engineering | Sažetak: | © Published under licence by IOP Publishing Ltd. The cast hipereutectoid steel (usually named Adamite) is a roll manufacturing destined material, having mechanical, chemical properties and Carbon [C] content of which stands between steelandiron, along-withitsalloyelements such as Nickel [Ni], Chrome [Cr], Molybdenum [Mo] and/or other alloy elements. Adamite Rolls are basically alloy steel rolls (a kind of high carbon steel) having hardness ranging from 40 to 55 degrees Shore C, with Carbon [C] percentage ranging from 1.35% until to 2% (usually between 1.22.3%), the extra Carbon [C] and the special alloying element giving an extra wear resistance and strength. First of all the Adamite roll's prominent feature is the small variation in hardness of the working surface, and has a good abrasion resistance and bite performance. This paper reviews key aspects of roll material properties and presents an analysis of the influences of chemical composition upon the mechanical properties (hardness) of the cast hipereutectoid steel rolls (Adamite). Using the multiple regression analysis (the double and triple regression equations), some mathematical correlations between the cast hipereutectoid steel rolls' chemical composition and the obtained hardness are presented. In this work several results and evidence obtained by actual experiments are presented. Thus, several variation boundaries for the chemical composition of cast hipereutectoid steel rolls, in view the obtaining the proper values of the hardness, are revealed. For the multiple regression equations, correlation coefficients and graphical representations the software Matlab was used. | URI: | https://open.uns.ac.rs/handle/123456789/1808 | ISSN: | 17578981 | DOI: | 10.1088/1757-899X/294/1/012077 |
Nаlаzi sе u kоlеkciјаmа: | FTN Publikacije/Publications |
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