ABSTRACT
A
design process to reduce mass and sound pressure for
automatic transmissions of vehicles is presented. The
proposed process uses a newly developed topography
optimization technique. Additionally, useful and necessary
techniques including sound pressure optimization and the
beta method are described. As a demonstrative problem, the
design process is successfully applied to reduce mass and
sound pressure of a 6 speed AISIN AW FWD automatic
transmission.
INTRODUCTION
Reducing the mass of vehicles is becoming more significant
for improving environmental quality and energy consumption
[1]. In addition, noise performance is also one of the most
important quality measures for vehicle comfort. However,
reduction of both mass and sound pressure for automatic
transmissions can produce a design problem with conflicting
objectives. To overcome this difficulty, we propose new
structural optimization techniques.
To reduce radiated noise, we proposed direct reduction of
sound pressure for the field point using large scale modal
frequency response analysis, sound pressure optimization and
topometry optimization [ 2]. This method enables us to find
effective locations to reduce radiated noise for entire range oftargeted loading frequencies. Topometry optimization is a
special
form of large scale sizing optimization [ 3]. We need
to create shell elements on the surface boundary of solid
components. This method shows the most effective locations
to add material, but this method cannot identify where
material needs to be removed. Therefore topometry
optimization results in adding additional mass to reduce
sound pressure.
Dai and Ramnath proposed reducing radiation noise using
topography optimization [ 4]. Their method is to minimize
overall surface velocities for shell elements. Kosaka et al.
proposed to reduce radiated noise using topography and
freeform optimization techniques [ 5]. The finite element
model is made of solid elements. In the case of topography
optimization, thin shell elements are applied on the
designable surface region. Because both topography and
freeform are types of shape optimization, they can result in
the removal of material, as well as the addition of material.
Therefore we employ this method to reduce mass and sound
pressure.
The rest of the paper is organized as follows. First, the
analysis and optimization that we used in this design process
(including large scale modal frequency response analysis
[6,7], acoustic analysis, topography optimization and beta
method) are discussed. Then design considerations of
automatic transmissions, the detailed model description of an
Reduction of Mass and Sound Pressure for
Automatic Transmission Using Topography
Optimization2012-01-0774
Published
04/16/2012
Takanori Ide
Aisin AW Co., Ltd.
Hiroyuki Kitajima
Aw Engineering Co. Ltd
Juan Leiva and Brian
Watson
Vanderplaats R & D
Copyright © 2012 SAE International
doi:10.4271/2012-01-0774Downloaded from SAE International by Imperial College London, Sunday, September 09, 2018example problem and the goal of optimization are described.
Next,
the optimization results using the proposed design
process are presented. Finally, the proposed process and
benefits are summarized in the conclusion.
ANALYSIS AND OPTIMIZATION
In order to perform analysis for the optimization process, two
separates discretized models must be created. The first one is
the structural finite element model, used to compute surface
velocity from modal frequency response analysis. The finite
element model is constructed to precisely represent geometry
since structural optimization will be performed. The other
model is the fluid boundary element model, used to compute
acoustic transfer vector. The boundary element model is
constructed using a coarsened mesh since computational time
is dramatically increase if the model size increased [ 8,9].
In
the proposed process, two important optimization
techniques, topography optimization to design shape of the
struct
SAE_2012-01-0774_Reduction of Mass and Sound Pressure for Automatic Transmission Using Topography Optimization
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