Abstract
The steel industry faces multifaceted challenges such as increasing cost pressures, energy efficiency requirements, sustainability targets, and the need to maintain high-quality standards. Digitalization emerges as an effective solution to overcome these challenges by transforming traditional production processes. Supported by advanced technologies such as Artificial Intelligence (AI) and the Internet of Things (IoT), digitalization enables unmanned and highly automated production environments, contributing to process optimization and enhanced efficiency. This article focuses on the importance of dynamic process monitoring in the tundish area and examines the real-time tracking of critical parameters such as temperature, superheat and tundish level control using the CasTemp online temperature measurement system and the CasTip liquidus measurement sensor. Field studies were conducted at the Bilecik Demir Çelik plant, which is equipped with three 30-ton induction furnaces, a ladle furnace, and a three-strand continuous casting machine. In the tundish, which transfers liquid steel from the ladle to the molds, dynamic temperature and liquidus measurements were performed using Heraeus Electro-Nite’s patented CasTemp online temperature measurement system and CasTip liquidus sensor. For heats of the same grade, liquidus and superheat values correlated with carbon analyses of tundish steel samples were monitored, and the effects of observed variations on the process were evaluated. Dynamic process control was achieved using CasTip and CasTemp systems, and experimental studies were carried out on the superheat prediction algorithm.
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Details
| Primary Language | English |
|---|---|
| Subjects | Casting Technologies, Manufacturing Metallurgy , Materials Engineering (Other) |
| Journal Section | Research Article |
| Authors | |
| Submission Date | August 6, 2025 |
| Acceptance Date | September 28, 2025 |
| Early Pub Date | December 26, 2025 |
| Publication Date | December 29, 2025 |
| Published in Issue | Year 2025 Volume: 1 Issue: 1 |
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Aktif araştırma alanları; Coğrafi Bilgi Sistemi (CBS) ve Uzaktan Algılama (UA) tekniklerini kullanarak; yeraltı sularının kirlenmeye karşı hassasiyetinin ve potansiyelinin değerlendirilmesi, yer seçimi, çeşitli coğrafi unsurlara ait morfometrik özelliklerinin belirlenmesi, arazi kullanımına ait zamansal değişimlerin, yüzey sıcaklığının ve bitki örtüsünün haritalanması ve belirlenmesi konularını içermektedir.
Caner Ozdemir received the B.S.E.E. degree in 1992 from the Middle East Technical University, Ankara, Turkey, and the M.S.E. and Ph. D. degrees in Electrical & Computer Engineering from the University of Texas at Austin in 1995 and 1998, respectively.
From 1992 to 1993, he worked as a project engineer at the Electronic Warfare Programs Directorate of ASELSAN Electronic Industries Inc., Ankara, Turkey. From 1998 to 2000, he worked as a research scientist at Electronic & Avionics Systems (ASTG) group of AlliedSignal Inc., Columbia, Maryland. He joined the faculty of Mersin University in 2000 and is currently a professor in the department of Electrical-Electronics Engineering, Mersin, Turkey. He has been serving as a consultant to the Marmara Research Center of the Scientific and Research Council (TUBITAK) of Turkey and many defense industry firms. Dr. Ozdemir’s research interests are radar cross section, radar image/signal processing, inverse synthetic aperture radar (ISAR), radar cross section, ground penetrating radar, through-the-wall imaging radar and antenna design. He has published more than 180 journal articles and conference/symposium papers on these subjects.
Dr. Ozdemir is a recipient of URSI EMT-S Young Scientist Award in the 2004 International Symposium on Electromagnetic Theory in Pisa, Italy and also recipient of a JARS best paper award for photo-optical instrumentation published in the Journal of Applied Remote Sensing in 2016. He is the author of the book titled “Inverse Synthetic Aperture Radar Imaging with Matlab Algorithms”.
nanometarial, silica aerogel, carbon nanotube, graphene, high entropy alloy
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