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Product Description
These control arms replace the factory units on the left and right to give you more adjust ability in camber. The reinforced rubber bushings helps with rigidity. These control arms are extremely strong for any extreme driving and powder coated with Megan Racing colors.
Product Key Features
- 150% Harder than stock bushings
- Made with high-strength and anti-craking rubber material
- Rubber viscosity is around 2000KGS
Product Specifications
Brand: | Megan Racing |
Product Category: | Suspension Components |
Product Type: | Control Arms |
Location: | Rear Lower |
Adjustment: | Camber |
Construction: | Steel Alloy |
Product Documents
Product Applications
Product Brand Information
Megan Racing was founded on the belief that the goal of the automotive enthusiast should not be limited by the size of one’s wallet, but rather on their heart and passion for motor-sports. As a young automotive enthusiast, Calvin (CEO) spent all his income on rent and special modifications towards his prized 1988 Toyota Celica All-Trac Turbo. Building it from the ground up, he initially purchased performance parts from local wholesale businesses and resold them to local shops and their consumers. Having to patiently sift through a wide array of international sources who offered parts at competitive prices and great quality, he faced the challenge of finding one that shared mutual manufacturing goals. This eventually led Calvin to building his very own R&D factory here in California. Focusing on company growth, he eventually formed a team to help him run the business and build up the brand even further to better serve customers. Megan Racing really prides itself in keeping the community involved in every aspect of development. Through loyal participation in attending race events, the team supports and collaborates with active members of the racing community who, in turn, offers direct invaluable feedback after real world and on-track testing. Furthermore, each product is vigorously tested inside in-house facilities and controlled variable scenarios.