Robust Design of Sounds in Mechanical Mechanisms

Author(s):  
Annemette Boegedal Jensen ◽  
Natasja Munch ◽  
Thomas J. Howard ◽  
Soeren Nygaard Pedersen

Current practices for creating a desired sound by a mechanical mechanism are irrelative design-build-test processes. It seems that very little guidance is available relating design to the sound output. The focus of this study was to identify, which parameters that affect the sound output of a click mechanism consisting of a toothed rack and a click arm. First several geometries of the teeth and the click arm’s head were investigated to identify the most robust and repeatable design. It was found that a flat surface in the valleys between the teeth is very beneficial in relation to repeatability. Design of Experiments was used to identify the sensitivity of all the dimensions of the parts. Here, it was found that many dimensions have an impact on the response e.g. the arm length, the tooth height and the gap between the parts. The results provide a useful basis for a sound-design guide for click mechanisms.

Author(s):  
C. Capela ◽  
M. C. Gaspar ◽  
N. O. Fernandes ◽  
F. Grego´rio

Design of experiments helps to achieve robust design by establishing product and process parameters that optimize product performance. In this work, the authors have used the Taguchi approach in order to optimize the process parameters of electro discharge machining (EDM) finishing on the surface of a specially developed mould steel workpiece.


1996 ◽  
Vol 118 (1) ◽  
pp. 166-169 ◽  
Author(s):  
A. Kusiak ◽  
Chang-Xue Feng

Design of a product (process) includes system design, parameter design, and tolerance design. Robust design is closely applicable to parameter design and tolerance design. The current literature on robust design has focused on parameter design while the problem of tolerance design has not been adequately covered. The tolerance design literature emphasizes the use of optimization to minimize cost while little attention has been paid to minimizing the sensitivity of tolerances to the variation of manufacturing processes. This paper discusses the application of the design of experiments (DOE) approach to tolerance synthesis to minimize manufacturing variations in a probabilistic case. The DOE approach is illustrated with an example.


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