TY  - GEN 
AU  - Contreras Fortes, Julia
AU  - Rodríguez García, María Inmaculada
AU  - Sales Lérida, David
AU  - Sánchez Miranda, Rocío
AU  - Almagro, Juan F.
AU  - Turias Domínguez, Ignacio José
A4  - Ciencia de los Materiales e Ingeniería Metalúrgica y Química Inorgánica
A4  - Ingeniería Informática
PY  - 2024
SN  - 2076-3417
UR  - http://hdl.handle.net/10498/35653
AB  - This study introduces a Multiple Linear Regression (MLR) model that functions as a virtual
sensor for estimating the strain-hardening rate of austenitic stainless steels, represented by the Hardening Rate of Hot rolled and annealed Stainless steel...
LA  - eng
PB  - MDPI
KW  - austenitic stainless steels
KW  - cold working
KW  - strain-hardening rate
KW  - cold-rolling curves
KW  - multiple linear regression
KW  - virtual sensor
KW  - machine learning
TI  - Virtual Sensor for Estimating the Strain-Hardening Rate of Austenitic Stainless Steels Using a Machine Learning Approach
DO  - 10.3390/APP14135508
ER  -