5M Universal Car Rubber Sealing Strip Seal Weatherstrip Edge Trim Slanted T-Type
Features:
- Made Of High Quality Material, Durable And Practical To Use
- Heat Resistance, Aging Resistance, Corrosion Resistance, Acid And Alkali Resistance, Weather Resistance
- Strong Tensile Strength, Good Elasticity.
- Non-Toxic, Harmless, No Special Harmful Odors.
- With Double-Sided Adhesive Closely Integrated With The Body.
- Can Fill In The Gaps Between The Components Of Car Parts.
- Shock-Absorbent, Waterproof, Dustproof, Sound-Insulated, Which Can Effectively Prevent The Rain From The Car And Protect The Body.
- Reducing The Voice And Elimination Collide Sound When Close The Car Door.
- Reducing The Interior Noise When Driving At a High Speed
- Improving Vehicle Air-Tightness And Dust-Proof Capabilities, Providing a Quiet And Clean Car Environment.
- Optimizing Engine Compartment Cooling Airflow.
- Improving The Air Conditioning Cooling And Heating Power, To Some Extent Reduced Fuel Consumption.
- It Can Be Cut Freely, And The Perfect Design Makes It Fit The Hood/Door Better
- The Auto Rubber Weather Strip Has a Unique T-Shaped Design, Which Perfectly Matches The Gap Of The Automobile Exterior Panels Such As Bumpers, Fender Flares, Side Skirts, Headlights, Etc.
Specification:
- Product Name: Sealed Strips
- Material: Epdm Rubber With Double-Sided Adhesive Tape
- Size: 8mm*10mm(Approx.)
- Total Length: 5 Meter(Approx.)
- Type: T-Shape
- Color:Black
- Suitable Position: Front Rear Bumper & Lip Headlight Side Skirt Fender Hood Door, Fender Flares...
(Tips: 1. Please Keep The Installation Surface Clean And Dry Before Installation; 2. When The Temperature Is Low, It Is Recommended To Heat The Adhesive To Increase The Viscosity; 3. Do Not Wash The Car Within 24 Hours After Installation.)
Package Contents: 1 x Sealing Strip
Note:
- The Real Color Of The Item May Be Slightly Different From The Pictures Shown On Website Caused By Many Factors Such As Brightness Of Your Monitor And Light Brightness.
- Please Allow Slight Manual Measurement Deviation For The Data.
