The Kiss Technologies Blog
The Kiss Technologies Blog
Continuous Casting Defects: Root Causes and Prevention
Quick Answer: Continuous casting defects most often result from instability during the first moments of solidification inside the copper mold. Variations in lubrication, heat transfer, mold oscillation, mold flux behavior, and mold level stability can lead to shell...
Visual Slag Detection in Continuous Casting: Limitations and Better Alternatives
Consistent steel cleanliness starts with consistent process control, and few variables affect cleanliness more directly than what enters the tundish during ladle draining. For operations that still rely on manual visual observation to identify slag carryover, process...
KT2000 GEN2 Acoustic vs. Electromagnetic Slag Detection: A Comparison of Detection Timing, Steel Cleanliness, and Yield Control
The Critical Impact of Slag Carryover on Metallurgical Performance Slag carryover during the ladle-to-tundish transfer remains a primary driver of non-metallic inclusions, surface defects, and accelerated refractory wear. For metallurgists prioritizing steel...
Optimize Your Continuous Caster: The Strategic Role of Pre-Downturn Mold Oscillation Audits
In continuous casting of steel, mold oscillation performance directly impacts surface condition, lubrication behavior, shell development, breakout prevention, and overall caster reliability. Small changes in oscillator performance can create process instability long...
What is Negative Strip Time?
Negative strip time in continuous casting is the period during mold oscillation when mold velocity exceeds casting speed during the downstroke. This parameter directly influences: Surface quality Mold lubrication behavior Breakout prevention Controlling negative strip...
Perpetual vs. Service-Based Slag Detection: Why the Industry Is Shifting
Quick Answer:In perpetual vs. service-based slag detection, the key difference lies in how detection performance is maintained over time. Across industrial systems—including continuous casting—there is a clear shift from perpetual purchases to performance-based,...
Economic Benefits of a Ladle Slag Detection System
A ladle slag detection system helps steelmakers control one of the most critical moments in continuous casting—the end of the heat. By identifying when slag begins entering the molten steel stream during ladle draining, the system allows operators to close the ladle...
Improving Steel Quality Without Disrupting Productivity
Steel quality in continuous casting is defined by surface condition, internal soundness, and consistency from heat to heat. It is heavily influenced by mold oscillation performance, lubrication behavior, and the overall mechanical stability of the caster. Most...
Managing Continuous Casting Data Across Shifts: How to Prevent Performance Drift
Most improvement efforts in continuous casting focus on equipment upgrades, new sensors, or tuning process parameters. Those are important. But there is another risk—less visible, but just as impactful on yield, uptime, and steel quality: Loss of consistency from...
From Casting Data to Decisions: How Steelmakers Turn Continuous Casting Data Into Measurable Results
Modern continuous casters generate a constant stream of casting data with every heat, every strand, and every shift. Mold level behavior, oscillation performance, thermal response, casting speed changes, and ladle/tundish conditions are all captured in real time. Most...
AI in Continuous Casting: Turning Slag Detection in Steel into Yield Control
Among the many variables that affect casting yield, the ladle-to-tundish transition remains one of the most difficult to control. In modern steelmaking, continuous casting operations face constant pressure to improve efficiency and reduce loss. Rising energy costs,...
Uncovering the Hidden Drivers of Steel Casting Efficiency in Continuous Steel Casting
Continuous steel casting is one of the most interconnected and complex operations in steel production. While major equipment failures are rare and usually obvious, it’s often the subtle, undetected changes in process behavior—oscillation drift, cooling variation,...
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