Yokomo YS-12550FF 5.50T Front Shock Spring Pair Purple  [YS-12550FF]

Yokomo YS-12550FF All-round spring for off-road 13 shock Front (2 each) Purple (5.50T)
Price:
£9.22
Brand:
Yokomo
Model:
YS-12550FF
GTIN:
639342226757
Condition:
Brand New
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YS-12550FF Front Springs by Yokomo for Dirt Control

These Yokomo YS-12550FF springs are made to give the front suspension a softer initial stroke on 13-shock configurations, helping drivers keep the front end settled on dirt tracks. As part of Yokomo's general lineup, they focus on balance between flexibility and support.

Balance and Responsiveness

The YS-12550FF uses selected materials to produce a flexible finish that improves steering feedback and traction on slippery or loose surfaces. This balance helps the car transition through bumps without losing composure.

Chassis Fitment and Setup Tips

Compatible with MOR-020 and SOR-020 chassis, these springs are a convenient swap for tuning front-end behaviour. Try small changes to oil weight and spring preload to dial in the desired response for your track.

Remark :
Due to limited stock availability, please notice that some Yokomo items may have to order from the factory and the ready time is around 4-6 weeks. Customer purchases the item is assumed to accept the waiting time which allows us to order directly from the manufacturer if the item is out of our warehouse.
Reduce front preload slightly and test with a marginally higher-viscosity oil to smooth initial movement while keeping enough support for corner entry.
Yes, they are a direct fit for compatible shock assemblies on the indicated chassis, allowing quick replacement without modifying components.
The softer initial stroke helps absorb small hits and chatter, improving stability over rough sections, though damping should be tuned alongside spring choice.
Check springs for wear and corrosion, keep shock shafts clean, and inspect seating to ensure consistent spring performance.
Mixing front and rear springs is common to tune balance. Match behaviour by testing changes incrementally rather than swapping many variables at once.

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