Artificial neural networks are an effective and frequently used modelling method in
regression and classification tasks in the area of steels and metal alloys. New publications …

Steel often contains relatively rare metals. These metals are geochemically relatively scarce
(having an upper crustal abundance<∼ 0.025 (mass)%) or subject to national stockpiling to …

The article presents a hybrid method for calculating the chemical composition of steel with
the required hardness after cooling from the austenitizing temperature. Artificial neural …

Purpose: of this work is to present possibility of proper determination of pearlite dissolution
finish temperature Ac1f during heating of hypoeutoctoid steels. Design/methodology …

The paper presents empirical formulae for the calculation of austenite supercooled
transformation temperatures, basing on the chemical composition, austenitising temperature …

Purpose: The purpose of the present study was to determine the optimal values of selected
deposition parameters of diamond-like-carbon coatings (DLC) with the modified cathodic …

Purpose: The paper presents method in predicting hardness of steel cooled continuously
from the austenitizing temperature, basing on the chemical composition, austenitizing …

Thermal fatigue behavior of two commercial Hot Work Tool Steels (PHTS-1, 2)(PHTS:
Premium grade Hot Work Tool Steel) under cyclic heating (25° C∼ 700° C, 3000 cycles) …

This work demonstrates a new approach to the synthesis of highly adhesive diamond
coatings on high-speed steel (HSS) substrates using a glancing angle deposition (GLAD) …

This paper introduces an innovative approach that enables the automated and precise
prediction of steel's chemical composition based on the desired Jominy curve. The …