Study of Low Carbon Low Alloy Steel Annealing Process Parameters Optimization

2013 ◽  
Vol 631-632 ◽  
pp. 649-659
Author(s):  
Mao Yu Zhao ◽  
Qian Wang Chen
Keyword(s):  
Yield Strength ◽  
Alloy Steel ◽  
Process Parameters ◽  
Orthogonal Experiment ◽  
Annealing Process ◽  
Parameters Optimization ◽  
Grey Theory ◽  
Low Carbon ◽  
Low Alloy Steel ◽  
Sem Images

A suitable match of annealing process parameters is critical for obtaining the fine microstructure of material. Low carbon low alloy steel (20CrMnTi) was heated for various durations near Ac temperature to achieve fine pearlite and ferrite grains. Annealing temperature and time were used as independent variables, and material property data were acquired by orthogonal experiment under intercritical annealing followed by subcritical annealing process (IASAP). The weights of plasticity (hardness, yield strength, section shrinkage, and elongation) of annealing material were calculated by analytic hierarchy process, and then the process parameters were optimized by using the grey theory system. The results observed by SEM images show that the optimized material microstructure consists of refining and distributing uniformly ferrite-pearlite grains, and smaller lamellar cementites. Morphologies on tension fracture surface of the optimized material indicates that the numbers of dimple fracture show more finer toughness obviously comparing with other annealing materials. Moreover, the yield strength value of the optimized material decreases apparently measured by tensile test. Thus, the new optimized strategy is accurate and feasible.

scholarly journals Mathematical model of forecast of strength of low carbon steel

2021 ◽  
pp. 49-58
Author(s):  
D.S. Kotenko
Keyword(s):  
Mechanical Properties ◽  
Regression Analysis ◽  
Chemical Composition ◽  
Yield Strength ◽  
Alloy Steel ◽  
The State ◽  
Structural Elements ◽  
Low Carbon ◽  
Low Alloy Steel ◽  
Short Period

Introduction. The use of different mathematical approaches to assessing and forecasting the quality characteristics of materials for different purposes is always relevant. The urgency of solving problems and problems of modern materials science with the use of methods of mathematical modeling allows to optimize technological processes of production, to determine in a short period of time the set parameters with minimal time and material costs. In the work using the method of regression analysis, the strength criteria of low-carbon low-alloy steel depending on the characteristics of the structure were evaluated. Materials and methods. Samples of Ст3пс steel grade made of a circle with a diameter of 24 mm were selected as the material for the study. The structure and mechanical properties were investigated at three reference points: at a distance of 0 mm from the center of the sample, 6 mm from the center of the sample and 12 mm from the center of the sample. The steel was investigated in the state of factory delivery, and after two modes of heat treatment to obtain ferritic-perlite and bainite structure. The following properties were determined: microhardness, tensile strength and yield strength, hardness and toughness at room temperature. The results of the experiment. Models for estimating mechanical properties were obtained using regression analysis. Models describing the relationship between the microhardness of pearlite and its area (R2 = 0.8366) in the state of factory delivery have a relatively high correlation coefficient; the score and the ultimate strength (R2 = 1.0) and yield strength (R2 = 0.8669) of steel after cooling in an oil medium; hardness and area of pearlite after hardening steel in the pearlite region (R2 = 0.7215). Conclusions. The practical significance of the work performed is the ability to perform a rapid analysis of the properties of rolled metal from steel Ст3пс based on determining the area of the structural elements and their scoring. However, it should be noted that the existing discrepancy between the results of the experiment and the forecast using the obtained models may be due to the influence of other factors. Such factors include the influence of chemical composition, incompleteness of formal axiomatics, which occurs when estimating the geometry of complex structural elements. Keywords: low-alloy steel; structure; chemical composition; mechanical properties; regression model; properties forecast

Studying the interrelation of operating characteristics and structure zones of thermal influence in steels of ferrite-bainitic class

2020 ◽  
pp. 16-26
Author(s):  
S. V. Korotovskaya ◽  
O. V. Sych ◽  
E. I. Khlusova
Keyword(s):  
Yield Strength ◽  
Crack Resistance ◽  
Alloy Steel ◽  
Heat Affected Zone ◽  
Low Carbon ◽  
Low Alloy Steel ◽  
Operating Characteristics ◽  
Complete Recrystallization ◽  
Thermal Influence ◽  
Thermal Welding

The paper presents the results of study of changes in the structure, impact and crack resistance in two sections of the simulated heat-affected zone of low-carbon low-alloy steel with a guaranteed yield strength of 420 MPa (section with large grain and section of complete recrystallization). The simulation of various thermal welding cycles was performed on the Gleeble 3800 complex.

ALLOY STEEL 1.8 Cu-1.0 Mn-1.2 Si

Alloy Digest ◽  
1976 ◽  
Vol 25 (10) ◽  
Keyword(s):  
Tensile Strength ◽  
Corrosion Resistance ◽  
Yield Strength ◽  
Physical Properties ◽  
Tensile Properties ◽  
Alloy Steel ◽  
Cast Steel ◽  
Heat Treating ◽  
Low Carbon ◽  
Steel Mills

Abstract Alloy Steel 1.8 Cu-1.0 Mn-1.2 Si is a low-carbon (0.20% max.) cast steel designed to provide intermediate tensile and yield strength. Copper lowers the ductility and toughness of cast steel but, for a given increase in tensile strength, the loss of ductility and toughness is less if copper is added than if carbon is increased. This steel has many uses such as booms, long shafting and gears. This datasheet provides information on composition, physical properties, elasticity, and tensile properties. It also includes information on corrosion resistance as well as casting, heat treating, machining, and joining. Filing Code: SA-325. Producer or source: Alloy steel mills and foundries.

Research of Recrystallization Processes in Low-Carbon Low-Alloy Steel in Modeling High-Temperature Rolling

2019 ◽  
Vol 10 (6) ◽  
pp. 1301-1308 ◽  
Author(s):  
S. V. Korotovskaya ◽  
O. V. Sych ◽  
E. I. Khlusova ◽  
E. A. Yashina
Keyword(s):  
High Temperature ◽  
Alloy Steel ◽  
Low Carbon ◽  
Low Alloy Steel
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