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Petrochemical Applications

Refractory and Petrochemical Installations A wide variety of industries rely on furnaces and boilers for manufacturing processes, but the refractory linings for furnaces, boilers, kilns, incinerators, crackers and reactors are prone to degeneration and loss of performance. With a thermal imaging camera damaged refractory material and the corresponding heat loss can be easily located, as the heat transmission will show up clearly on a thermal image. Thermal imaging cameras are widely used in the petrochemical sector. They provide rapid, accurate diagnosis for furnace maintenance, refractory loss management and condenser fin diagnosis. Heat exchangers can be checked to detect blocked pipes. Furnace and boiler equipment is also prone to failures from a variety of other mechanisms. These include coking that plugs the inside of tubes and impedes product flow, slag build-up on the outside of tubes, under and overheating, flame impingement on tubes due to burner misalignment, and product leaks that ignite and cause serious damage to the equipment. To ensure refractory quality of boiler and furnace installations it is not enough to just perform inspections from the outside. The refractory on the inside of the boiler or furnace has to be inspected as well. With conventional methods it is necessary to shut down the installation to be able to inspect the inside. This is extremely costly due to a loss of production during downtime. These losses are not necessary, however, for FLIR Systems also has special thermal imaging cameras that can be used to inspect the inside of the installation during operation. This is possible due to the flame filter FLIR has included in the design of these thermal imaging cameras. Flames emit infrared radiation at different intensities at different wavelengths and at certain wavelengths in the infrared spectrum flames emit hardly any thermal radiation at all. A flame filter uses that fact to enable the thermal imaging camera to ‘see’ through the flames. References: Flir Systems