DANIELI has recently implemented its Coil Quality Estimator (DANIELI-CQETM) system to the Hot Strip Mill of United Metallurgical Company (OMK) at Vyksa,Russia.This system is developed for the purpose of real time assessment and control of mechanical properties for hot rolled coils.Mechanical properties such as strength,toughness,ductility and hardness are predicted over the entire length of a strip while it is processed.The property estimation is based on the final microstructure as predicted from a group of interconnected physically based metallurgical models,supplemented by Artificial Neural Network.The CQE system is used for prediction and control of properties of HSLA line pipe grades steel and other grades.The system performance,is judged by accuracy and reliability of prediction,has been compared with the physical material testing data from the plant.The results are found to be excellent.CQE is found useful for generation of test certificate of coil,quality assurance,process control,product development,and customer claim assessment.It is used for resource optimization for production,and other operational improvements such as reduction of downgrades.The present paper shares the results of CQE performance for prediction of HSLA line pipe grade steels. DANIELI has recently implemented its Coil Quality Estimator (DANIELI-CQETM) system to the Hot Strip Mill of United Metallurgical Company (OMK) at Vyksa, Russia. This system is developed for the purpose of real time assessment and control of mechanical properties for hot rolled coils. Mechanical properties such as strength, toughness, ductility and hardness are predicted over the entire length of a strip while it is processed. The estimation estimation is based on the final microstructure as predicted from a group of interconnected physically based metallurgical models, supplemented by Artificial Neural Network.The CQE system is used for prediction and control of properties of HSLA line pipe grades steel and other grades. System performance, is judged by accuracy and reliability of prediction, has been compared with the physical material testing data from the plant . The results are found to be excellent. CQE is found useful for generation of test certificate of coil, quality assurance, process cont rol, product development, and customer claim assessment. It is used for resource optimization for production, and other operational improvements such as reduction of downgrades. the present paper shares the results of CQE performance for prediction of HSLA line pipe grade steels.