Rotork IQ70 Passive Fire Protection Cover
FirePro® Passive Fire Protection Systems FirePro® Passive Fire Protection Systems have been independently assessed and verified by both Underwriters Laboratories and Southwest Research Institute. FirePro Fire Protection Systems fulfills the requirements for UL1709 and ASTM E119 and a wide range of onshore and offshore passive fire protection guidelines and requirements. ITEM FirePro® Fire Protection Systems ... FASTENING SYSTEM Stainless Steel Straps and Buckles THICKNESS 2in / 51mm RATING UL1709, ASTM INSULATION MATERIAL High-Temperature Resistant Ceramic Fiber Core COLOR Green CORROSION Neutral WEIGHT 35lbs/15.88kg JACKET MATERIAL Two Layer Design: Teflon Coated Exterior ... FIT Rotork IQ 70 Fire Protection Applications Valves Actuators Controls Cable Trays Cabinets Enclosures Pipes Pipe Components Features Two Layer Design: Teflon Coated Exterior, High-Temperature Resistant Ceramic Fiber Core Corrosion Neutral Adjustable Strap & Buckle Flexible, Lightweight, Modular Pieces Meets & Exceeds UL1709 Rapid Rise Fire Test Duration Expedited Delivery Service Available Stainless Steel Nameplate for Easy Identification Benefits Removable & Reusable Simple & Quick Installation Long Lasting & Durable No Tools Required Weatherproof, Chemical Resistant, UV Resistant No Equipment Downtime Blocks the Flame Path & Retards Heat Flow UL1709 Certified Fire Protection FirePro® by UniTherm is a fire protection system designed to insulate equipment and significantly delay internal temperature rise in the event of a fire. Easy to install, remove and reuse, the FirePro® product line offers a simple and effective means to protect critical process control equipment. FirePro® products meet UL1709 requirements and follow the recommended standards of API 2218. The chart above shows the results of a FirePro® system subjected to a full Hydrocarbon Fire Test that meets UL 1709 requirements.
Variants (1)
- Default Title — 8080.00 USD — In stock
How AI sees this product
The more complete this product's details, the more confidently AI assistants can understand and recommend it.