INTRODUCTION
In the automotive industry, customer clinics and owner
surveys continually emphasize ride and handling performance
as an important driver of purchase decisions and ownership
satisfaction. Of the elements defining this performance,
damper tuning is among the most important. Dampers having
digressive force-velocity relationships have distinct vehicle
performance advantages over linear and progressive dampers,
emphasizing roll damping and low- to mid-speed motion
control at reduced bump force levels.
The velocity range of automotive suspension dampers is
generally divided into three regions: low-, mid-, and high-
speed, with a different hydraulic valve controlling each range
in rebound and compression. With digressive deflected disc
dampers, mid-speed control force around the “blow-off”
transition point is determined by the pre-load which arises
from the product of hub off-set and disc stack stiffness.
To maintain mid-range control level, digressiveness is
adjusted by simultaneously changing hub off-set and disc
stack stiffness in opposite directions. Because this involves
the development of a new complimentary disc stack,
evaluation requires a laborious trial and error process.
Shortened product development cycles preclude fullexploration of force digression if traditional methods are
utilized.
To address this need, a regression-based method has been
developed that directly calculates new disc stack stiffness to
compliment changes in hub offset, enabling efficient
optimization of damper digressiveness.
BACKGROUND
Digressiveness Defined
Figure 1. Digressive Force-Velocity Curves
2013-01-1357
Published 04/08/2013
Copyright © 2013 SAE International
doi:10.4271/2013-01-1357
saepcmech.saejournals.org
A Computational Method for Efficient Hub Offset Comparisons
with Deflected-Disc Dampers
W. Bradley Cwycyshyn and Joseph Fedullo
General Motors Company
ABSTRACT
With deflected-disc dampers, digressive force-velocity shapes are achieved via the combined effects of disc stack
stiffness and hub-offset. The degree of digressiveness can be adjusted to alter vehicle performance by changing the
proportion of these parameters. Optimizing this relationship can yield substantial vehicle performance improvements, but
the time consuming iterative process of developing a new disc stack for each hub-offset discourages experimentation.
To enable more efficient digressiveness comparisons, a regression-based computational method has been developed
which converts disc stack stiffness from one hub-offset to other offsets directly, without iteration. Once an initial disc stack
for one offset has been tuned by traditional methods, stacks for other offsets can be calculated that maintain overall damper
control. This paper will present background information on deflected disc valving and curve shaping, describe
development of the computational method, and show an example of a typical comparison, graphically.
CITATION: Cwycyshyn, W. and Fedullo, J., "A Computational Method for Efficient Hub Offset Comparisons with
Deflected-Disc Dampers," SAE Int. J. Passeng. Cars - Mech. Syst. 6(3):2013, doi:10.4271/2013-01-1357.
____________________________________
1383Downloaded from SAE International by Universiti Teknologi Malaysia, Sunday, April 12, 2015For the purposes of this paper, a digressive damper is
defined as
one with a marked reduction in slope of the force
vs. velocity curve above the “blow-off” force. Examples of
two levels of digressiveness are depicted in Figure 1.
The Need for Digressiveness
Digressiveness is
driven by vehicle-level requirements;
the forces required for optimum hydraulic control in the low-
mid velocity range (roll damping, primary motion control),
and the forces required for optimum control at higher
velocities (bump force, wheel control, etc.) cannot be
achieved simultaneously without a force modulating device.
Without this device, forces build either progressively or
linearly with velocity resulting in excessive forces a
SAE_2013-01-1357_A Computational Method for Efficient Hub Offset Comparisons with Deflected-Disc Dampers
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