The target of the contribution is to outline possibilities of applying modelling for the prediction of mechanical steel properties of ribbed medium carbon steel rods. The impact toughness; tensile properties - tensile strength at maximum load, tensile strength at break and yield strength; as well as hardness property of medium carbon steels rolled from inland rolling mills were determined experimentally and quantitatively. The experimental data obtained were used to develop models using stepwise techniques (statistical analysis). The precise tool used for development of these models was multiple regression analysis (Analysis of Variance- ANOVA) and the models were used to obtain the predicted (numerical) values of these properties for each ...
42SiCr steel is a middle carbon, low alloyed steel with (in wt. %) 0.4C, 1.3Cr, 0.6Mn and 2Si. In th...
The mechanical properties of the SAPH440 hot rolled steel sheet are mainly controlled to satisfy pro...
The present thesis discusses the development of the first order and second order models for predicti...
The objective of this research project was the setting up of a numerical model able to predict the m...
The research investigated the mechanical behavior of samples of steel rods obtained from three selec...
The present work focuses on the modeling and analysis of mechanical properties of structural steel. ...
Steel is the most important material and it has several applications, and positions second to cement...
An empirical model is developed to predict the mechanical properties that steel inherits from the ho...
The article presents the results of the strength properties of 12 ÷ 24 mm ribbed bars used for concr...
The objective of this research project was the setting up of a numerical model able t...
AbstractThis work deals with the prediction of mechanical properties of hot rolled steel slab in the...
AbstractVariability in the mechanical properties of steel strip has a significant effect on the stru...
Hot rolling normalization technology for producing sheets from a low-carbon steel, Steel S355J2, use...
The mechanical properties of structural steel rebar are a very important factor for durable, sustain...
For manufacturing of steel wires, tubes, and profiles in hot rolling mills the toughest conditions o...
42SiCr steel is a middle carbon, low alloyed steel with (in wt. %) 0.4C, 1.3Cr, 0.6Mn and 2Si. In th...
The mechanical properties of the SAPH440 hot rolled steel sheet are mainly controlled to satisfy pro...
The present thesis discusses the development of the first order and second order models for predicti...
The objective of this research project was the setting up of a numerical model able to predict the m...
The research investigated the mechanical behavior of samples of steel rods obtained from three selec...
The present work focuses on the modeling and analysis of mechanical properties of structural steel. ...
Steel is the most important material and it has several applications, and positions second to cement...
An empirical model is developed to predict the mechanical properties that steel inherits from the ho...
The article presents the results of the strength properties of 12 ÷ 24 mm ribbed bars used for concr...
The objective of this research project was the setting up of a numerical model able t...
AbstractThis work deals with the prediction of mechanical properties of hot rolled steel slab in the...
AbstractVariability in the mechanical properties of steel strip has a significant effect on the stru...
Hot rolling normalization technology for producing sheets from a low-carbon steel, Steel S355J2, use...
The mechanical properties of structural steel rebar are a very important factor for durable, sustain...
For manufacturing of steel wires, tubes, and profiles in hot rolling mills the toughest conditions o...
42SiCr steel is a middle carbon, low alloyed steel with (in wt. %) 0.4C, 1.3Cr, 0.6Mn and 2Si. In th...
The mechanical properties of the SAPH440 hot rolled steel sheet are mainly controlled to satisfy pro...
The present thesis discusses the development of the first order and second order models for predicti...