LED 4FT Tube Vapor-Tight Fixture - Wattage and Color Select, IP69K, NSF Approved- 120-347V

LED 4FT Tube Vapor-Tight Fixture - Wattage and Color Select, IP69K, NSF Approved- 120-347V

Brand: Westgate
SKU: LVTT-4FT-30-60W-MCTP-SR
189.99 USD In stock Buy at Merchant

LED 4FT Tube Vapor-Tight Fixture - Wattage and Color Select, IP69K, NSF Approved- 120-347V The LVTT-4FT-30-60W-MCTP-SR is a round LED vapor-tight fixture engineered for high-performance lighting in wet, dusty, and harsh-duty environments. Featuring selectable wattage, selectable CCT, sensor-ready construction, and 360° light distribution, it delivers flexible illumination for industrial, food processing, parking garage, refrigeration, and utility spaces. The IP69K-rated construction, impact-resistant polycarbonate lens, and aluminum die-cast endcaps make it ideal for applications requiring durability and reliable washdown performance. Technical Specs :: Wattage: 30W / 40W / 50W / 60W (Selectable) :: Input Voltage: 120~347VAC :: Dimmable Driver :: Pre-Installed DC Sensor Base :: Operating Temperature: -4°F to 122°F :: Total Lumens: 3,900 / 5,200 / 6,500 / 7,800 LM :: CCT Selectable: 3500K / 4000K / 5000K :: Efficacy: >130 LM/W :: CRI: >80 :: Beam Angle: 360° :: Impact-Resistant Polycarbonate Lens :: Aluminum Alloy Die-Cast Endcaps :: Dust-Tight and Waterproof Construction :: IP Rating: IP69K :: Length: 4FT :: Dimensions: 47.6"L x 3.9" Dia. :: Technical Drawing: 4.13"(D) x 47.99"(W) x 4.13"(H) :: Surface Mount or Suspended Installation :: Mounting Bracket Included :: Hanging Cable Included :: Standard 6FT and 1FT Cable Included :: Certifications: UL Listed, NSF Approved, FCC APPLICATIONS: –Parking garages and parking structures. –Industrial facilities and warehouses. –Car washes and maintenance bays. –Utility rooms, tunnels, and service corridors. –Food-processing and cold-storage areas. –Outdoor covered walkways and loading docks

Variants (1)
  • Default Title — 189.99 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.

89%