3RACING M4WD-04/GO Gold 6mm Damper Ball for Tamiya Mini 4WD  [M4WD-04/GO]

Tamiya Mini 4WD 6mm Damper Ball (gold) - 3RACING M4WD-04/GO
Price:
USD$2.50
Brand:
3Racing
Model:
M4WD-04/GO
Condition:
Brand New
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Precision Mass Damping for Competitive Setups

The Tamiya Mini 4WD 6mm Damper Ball in gold from 3RACING is engineered to provide targeted mass damping that reduces high frequency oscillation and improves chassis stability in demanding race conditions.

Compatibility and Functional Role

Specified as a mass damper, the 6mm ball integrates with numerous Tamiya Mini 4WD chassis platforms to attenuate shock impulses and vibration, preserving tyre contact during rapid direction changes.

Effect on Handling Dynamics

When applied as part of a tuned setup, the damper ball assists in controlling rebound and transient responses, which enhances cornering predictability and allows finer tuning of suspension and weight distribution.

Installation and Tuning Notes

Fitting is straightforward for experienced builders; progressive testing of placement and complementary weights is recommended to optimise damping performance within a given chassis configuration.

 

Product Reviews
1 Reviews
rating
Excellent service, two of the items I purchased were out of stock but was given fair options on refund, store credit or replacement. I opted for replacement as there was a different version available and one of the items did arrive bent and they sent out

What tuning results should I expect after adding the damper ball?

Expect reduced transient oscillation and improved midcorner stability, which helps refine handling inputs and lap consistency when combined with suspension adjustments.

How should I evaluate placement during setup?

Evaluate placement by conducting controlled runs and monitoring rebound and corner entry behaviour; small shifts in location can materially change damping characteristics.

Can this part be used with other performance upgrades?

Yes, it integrates well with low-mass tuning parts and refined chassis setups, but tuning should be iterative to prevent conflicting adjustments.