A criterion for model-robust design of experiments

2005 ◽  
Author(s):  
M. Roger ◽  
L. Le Brusquet ◽  
G. Fleury
Keyword(s):  
Design Of Experiments ◽  
Robust Design

Robust Design of Sounds in Mechanical Mechanisms

2015 ◽  
Author(s):  
Annemette Boegedal Jensen ◽  
Natasja Munch ◽  
Thomas J. Howard ◽  
Soeren Nygaard Pedersen
Keyword(s):  
Design Of Experiments ◽  
Robust Design ◽  
Flat Surface ◽  
Sound Design ◽  
Design Build ◽  
Design Guide ◽  
Current Practices

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.

Study on the Selection of Critical Electro Discharge Machining Surface Parameters Based on Robust Design of Experiments

2005 ◽  
Author(s):  
C. Capela ◽  
M. C. Gaspar ◽  
N. O. Fernandes ◽  
F. Grego´rio
Keyword(s):  
Design Of Experiments ◽  
Robust Design ◽  
Process Parameters ◽  
Product Performance ◽  
Taguchi Approach ◽  
Surface Parameters ◽  
Electro Discharge Machining ◽  
Product And Process ◽  
Selection Of

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.

Robust Tolerance Design for Quality

1996 ◽  
Vol 118 (1) ◽  
pp. 166-169 ◽  
Author(s):  
A. Kusiak ◽  
Chang-Xue Feng
Keyword(s):  
Design Of Experiments ◽  
System Design ◽  
Robust Design ◽  
Current Literature ◽  
Design Parameter ◽  
Parameter Design ◽  
Manufacturing Processes ◽  
Tolerance Design ◽  
Tolerance Synthesis

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.

Multibody Performance Optimization of a Formula SAE Car

2006 ◽  
Author(s):  
Renzo Capitani ◽  
Daniele G. Rosti ◽  
Pierluigi Tozzi
Keyword(s):  
Design Of Experiments ◽  
Data Acquisition ◽  
Dynamic Behavior ◽  
Robust Design ◽  
Performance Optimization ◽  
Data Acquisition System ◽  
Kinematics And Dynamics ◽  
Virtual Model ◽  
Multi Objective ◽  
Formula Sae

The dynamic behavior optimization of the Formula SAE car built at the Universita` degli Studi di Firenze is discussed. A virtual model was built using MSC Adams Motorsports, in order to simulate the kinematics and dynamics of the car. A data acquisition system was mounted on board to record all the data useful to setup the car and the virtual model too. The multibody approach was coupled with a multi objective optimizer to start a design of experiments that was able to find the robust design that maximizes the performance along the Formula SAE track.

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