Front Strut Bar - also known as a “front strut tower brace,” this bar connects to the top of the front strut towers, which are usually located in the engine bay, and prevents the chassis from flexing during cornering. It makes the chassis more rigid, resulting in better handling by preventing the strut towers from flexing, also helping with shock tower loads and equally dispersing force through the chassis.
What makes Ultra Racing front strut bars unique?
Consumers choose our front strut bars over the multi-pieced, flexible designed front strut bars made by other companies because our front strut bars come in a one-piece design that provides more rigidity and overall performance compared to a front strut bar that is multi-pieced. By installing an Ultra Racing front strut bar, your vehicle will experience less chassis flex, better handling over road bumps and through corners, and our one-piece design will never need to be adjusted, tightened, or risk failing from moving parts like the multi-piece design of other companies.
Made from ASTM A500 Grade A (American US Standard Mild Steel)
All materials used are carefully selected to ensure the best performance and safety. The brackets are made of 4MM to 5MM steel plates, while the hollow steel tubes and oval tubes are of 1.2MM to 1.6MM thickness. These materials' thicknesses ensure the bars are rigid and strong to maintain constant geometry at all times, yet safe enough to crumble during an impact.
WARRANTY
Each product comes with a unique serial number found on the silver tag. This is for authentication.
All products are backed by a 5 year manufacturing warranty from the date you received your products. Warranty covers welds and metal snaps. If products are re-powder-coated a color other than our company color of white, warrantying may be on either a case-by-case basis or voided.
If you live in an area that sees snow, warranty is limited to 1 year.
FITMENT: HYUNDAI ELANTRA (CN7) 2021 - 2023
NOTE: Will work on Elantra N and Hybrid models, May need to trim the wiper cover at the edge for some batch model
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