Systems and methods include a predictor module configured to receive an input, e.g., composition parameters and processing parameters. A processor processes the input to predict a material property, e.g., fatigue strength, of an alloy based on the input. The processor outputs the predicted fatigue strength of the alloy for display.

Systems and methods include a predictor module configured to receive an input, e.g., composition parameters and processing parameters. A processor processes the input to predict a material property, e.g., fatigue strength, of an alloy based on the input. The processor outputs the predicted fatigue strength of the alloy for display.

Carbon steels are desirable for many applications due to their hardness and low cost. Susceptibility toward corrosion can complicate the use of carbon steels, and there is presently no ready way to predict susceptibility toward corrosion for a given carbon steel under a particular set of corrosive conditions. Methods for predicting susceptibility toward corrosion and determining the suitability of a carbon steel may comprise: obtaining a group of carbon steel samples, each carbon steel sample having an unknown rate of corrosion and a microstructure; measuring a quantity of carbides within the microstructure of each carbon steel sample having an unknown rate of corrosion; and determining a relative order of susceptibility toward corrosion within the group of carbon steel samples based upon the quantity of carbides within the microstructure of each carbon steel sample.

A system and method for evaluating soil characteristics. The system and method includes providing one or more soil test kits to a user. The soil tests kits may include ion-exchange resins and may instruct the user to collect a soil sample from his/her growing area, to combine the soil sample with the ion-exchange resins, and to provide the combination to the system for analysis. Other test kits may not include ion-exchange resins and may instruct the user to provide a soil sample from his/her growing area to the system for analysis. The system evaluates the ion-exchange resins and/or the soil samples to identify nutrient levels, pH levels, and other characteristics of the soil. Using the evaluation results, the system provides feedback, recommendations and/or products to the user to improve the soil conditions and to ensure a successful crop, yield, quality, and nutrient density. The system and method also may include providing a second soil test kit to the user at a predetermined time after the first, to evaluate a second soil sample, and to compare the second evaluation results with the first to assess the improvement of the soil conditions.

A system and method for evaluating soil characteristics. The system and method includes providing one or more soil test kits to a user. The soil tests kits may include ion-exchange resins and may instruct the user to collect a soil sample from his/her growing area, to combine the soil sample with the ion-exchange resins, and to provide the combination to the system for analysis. Other test kits may not include ion-exchange resins and may instruct the user to provide a soil sample from his/her growing area to the system for analysis. The system evaluates the ion-exchange resins and/or the soil samples to identify nutrient levels, pH levels, and other characteristics of the soil. Using the evaluation results, the system provides feedback, recommendations and/or products to the user to improve the soil conditions and to ensure a successful crop, yield, quality, and nutrient density. The system and method also may include providing a second soil test kit to the user at a predetermined time after the first, to evaluate a second soil sample, and to compare the second evaluation results with the first to assess the improvement of the soil conditions.

A spark spectrometry for inclusions content distribution on the surface of large size metallic materials, comprising the following steps: analyzing the surface of large-size metallic materials by spark discharge continuous excitation scanning, obtaining a mixture intensity distribution data of the solid solution and inclusions of an element on the surface of the large-size metallic materials; the relative frequency distribution diagram of spectral intensity is subjected to peak fitting of normal distribution and Gumbel distribution, obtaining an extreme value distribution data of spectral intensity of the inclusions; a size information of the inclusions in a small sample and that of the largest inclusions are correlated with the spectral intensity distribution data of inclusions, obtaining a result of content distribution of the inclusions on the surface of the large size metallic materials. The invention can quickly obtain accurate distribution information of inclusions of various elements on the surface of metallic materials.

A spark spectrometry for inclusions content distribution on the surface of large size metallic materials, comprising the following steps: analyzing the surface of large-size metallic materials by spark discharge continuous excitation scanning, obtaining a mixture intensity distribution data of the solid solution and inclusions of an element on the surface of the large-size metallic materials; the relative frequency distribution diagram of spectral intensity is subjected to peak fitting of normal distribution and Gumbel distribution, obtaining an extreme value distribution data of spectral intensity of the inclusions; a size information of the inclusions in a small sample and that of the largest inclusions are correlated with the spectral intensity distribution data of inclusions, obtaining a result of content distribution of the inclusions on the surface of the large size metallic materials. The invention can quickly obtain accurate distribution information of inclusions of various elements on the surface of metallic materials.

Provided is a slag component analysis method capable of quickly and accurately measuring slag components generated during refining of molten iron. The method comprises: irradiating a surface of slag to be analyzed with a pulse laser a plurality of times to turn part of the slag into plasma; dispersing excitation light obtained from the slag turned into plasma and acquiring an emission spectrum of an element contained in the slag per one pulse laser irradiation or per a plurality of pulse laser irradiations; and deriving a target component concentration or component amount ratio from the acquired emission spectrum, wherein the slag to be analyzed is slag generated in a converter-type refining furnace, and in the process of turning part of the slag into plasma, the pulse laser is applied from a side of the converter-type refining furnace tilted to remove the slag generated in the converter-type refining furnace.

Systems and methods include a predictor module configured to receive an input, e.g., composition parameters and processing parameters. A processor processes the input to predict a material property, e.g., fatigue strength, of an alloy based on the input. The processor outputs the predicted fatigue strength of the alloy for display.

A spark spectrometry for inclusions content distribution on the surface of large size metallic materials, comprising the following steps: analyzing the surface of large-size metallic materials by spark discharge continuous excitation scanning, obtaining a mixture intensity distribution data of the solid solution and inclusions of an element on the surface of the large-size metallic materials; the relative frequency distribution diagram of spectral intensity is subjected to peak fitting of normal distribution and Gumbel distribution, obtaining an extreme value distribution data of spectral intensity of the inclusions; a size information of the inclusions in a small sample and that of the largest inclusions are correlated with the spectral intensity distribution data of inclusions, obtaining a result of content distribution of the inclusions on the surface of the large size metallic materials. The invention can quickly obtain accurate distribution information of inclusions of various elements on the surface of metallic materials.