

Type of Document Master's Thesis Author Blanks, Joseph E. URN etd-145110201974500 Title Optimal Design of an Enclosure for a Portable Generator Degree Master of Science Department Mechanical Engineering Advisory Committee
Advisor Name Title William R. Saunders Committee Chair Douglas J. Nelson none Harry H. Robertshaw none Keywords
- acoustic isolation
- insertion loss
- passive acoustical treatment
- close fitting enclosure
- optimization
- acoustic enclosure
Date of Defense 1997-02-07 Availability unrestricted Abstract A simple, effective design for enclosing portable
generators to reduce the radiated noise is an
idea that seems to be desired by the consumers
in this market. This investigation is to determine
the feasibility of producing such an enclosure for
a generator. Several engineering aspects are
incorporated in the design of the enclosure. The
first, and probably the most paramount, are the
acoustical effects of the enclosure itself. The
investigation follows the theories for insertion
loss of a close fitting enclosure. The thesis
examines the system behavior of a close fitting
enclosure that most acoustic text books ignore
and how the material stiffness, density and
source-to-enclosure distance affect the insertion
loss and effectiveness of the enclosure.
Measured and theoretical sound pressure level
around the generator before and after the
application of the enclosure are presented using
standards described by ISO standard 1344.
The second important consideration for the
enclosure design involves the heat transfer
characteristics. The requirements of cooling air
to the generator are discussed. Also presented
are some acoustic design considerations to
prevent any "direct line of sight" to any of the
necessary openings which will help in the overall
insertion loss. The use of an optimal engineering
design technique is presented, demonstrating its
strengths and weakness in this application. The
optimization method used for the study is the
Hooke and Jeeves, or pattern search method.
This method solved for the optimum material
properties in approximately 30 iterations
depending on the initial starting points and the
desired weighting parameters.
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