Online condition-based Monitoring / Predictive Maintenance of LHF
Compact infrared thermal imaging camera was used for the continuous temperature monitoring of each zone. Alarm generated if zone temperature exceeds set points. Hot spot detector scans the entire critical asset and easily identifies the spot with maximum refractory erosion. Home Case Studies Online condition-based Monitoring / Predictive Maintenance of LHF Online condition-based Monitoring / Predictive Maintenance of LHF Home Case Studies Pilger mill in tube rolling mills – hot and cold pipe detection Pilger mill in tube rolling mills – hot and cold pipe detection Increased efficiency: Ladle lifetime improvement with early detection allowing for selective repairs as opposed to full lining Improve safety level: Prevent breakouts and reduce risk of damage to personnel & plant equipment Avoid unscheduled downtime: Avoids costly machinery damage and days to clean-up Challenges The customer faced the challenge of measuring the temperature of ladle shell when the hot metal is inside so that any punctures can be identified in time Solution Compact infrared thermal imaging camera provided the ideal solution Zones Monitoring: Each zone temperature was continuously monitored.If zone temperature exceeded above 300⁰C, an alarm was generated. Hot Spot Detection: Hot spot detector scanned the entire critical asset and easily identified the spot with maximum refractory erosion. Predictive Maintenance: Real time system running 365 / 24/ 7 days, warning of excessive shell temperature from refractory degradation. Products and Accessories Thermal Imaging Camera Water Cooling Jacket Air Purge Unit Case Study Number TP3 Challenge The increasing flexibility of production lines requires a high adaptability of sensors. Continually changing object geometries, different temperatures and very high radiation or surrounding temperatures are no rarity. In a pilger mill those rough conditions can be found, among others in the production of seemless steel pipes. The raw steel blocks, each weighing a few tons are heated up first in a round oven at a temperature of 1300 °C. After descaling of the surface, the steel block is prepunched in a hole press with a strength from a converted 2000 t. In the next sloping rolling mill the growing pipe rotates between two rollers that are positioned at an angle to each other. The punching is widened to the size of the mandrel diameter. Previous solution / Competitor product N/A Solution The sensor that was installed at this application is the HMD OKA 2038.38 G with tube OL 19. The signal of the infrared sensors controls the movement of centering device and abutment. The point of view is restricted by the tube and prevents disturbances by steam in the cooling phase. An optimum adaptation to the operating conditions is given due to the adjustable response temperature. The HMD with self-learning response temperature (Auto-Teach function) is suited to continually changing conditions. The compact sensor with a stainless steel housing can withstand surrounding temperatures of up to 75° C. The use of a cooling jacket raises this up to 200° C. Alternatively sensors with fibre optic cables are available which permit an application at ambient temperatures up to 600° C without cooling. Customer Benefits Maintenance-free High temperature stability Recognition of hot objects at big distances Self adjustment with Auto-Teach or step switch for the response temperature Product Part number OKA 2038.38 G Brand Proxitron Accessories Piros swivel stand HM2 Tube OL 19 Pilot light unit (for alignment) DAK 308 + OL 26 Different cable lengths (e.g. 15 m) Customer Testimonial compared to previous solution or competition Case Studies Other Applications in Steel Making View All Sample case study title lorem ipsum here Short description of the problem solved, maybe include the client name. READ MORE Sample case study title lorem ipsum here Short description of the problem solved, maybe include the client name. READ MORE Sample case study title lorem ipsum here Short description of the problem solved, maybe include the client name. READ MORE
