MAE486_Fall11_L23_S

# B l9 array considers four control factors each at

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Unformatted text preview: parameter (the signal factor) once the variance has been reduced. Parameter Design (cont’d) •  What is the trade ­oﬀ? –  Min (# of tests) vs. Loss (Detailed informaOon of interacOons). •  Two commonly used orthogonal arrays. (a)  L4 deals with three control factors at two levels. A total of 4 runs of DOE is needed. (b) L9 array considers four control factors each at three levels. A total of 9 runs of DOE is needed. Taguchi Robust Design Method What are the steps? •  Step 1: Problem deﬁniOon. –  Select the parameter to be opOmized and the objecOve funcOon. •  Step 2: SelecOon of design parameters; –  The control parameters (controlled under the designer) and the noise parameters (contribute to the variaOon caused by the environment. •  Step 3: Experiment design –  Select the appropriate fracOonal factorial array, the number of levels to be used, and the range of the parameters that correspond to these levels. •  Step 4: Do the experiments –  Follow DOE; •  Step 5: Results analysis; –  Calculate the S/N. •  Step 5: Repeat steps 1 to 4 if no clear opOmum value. OR: •  Step 5: Validate the results; –  Perform a conﬁrming experiment when the method gives a set of opOmal parameter values. Robust Design Example •  Problem: –  A new prototype of new game box has indicator light failure •  Causes: –  Poor solder joints. •  Root cause: –  Use of improper solder paste (i.e., solder balls and ﬂux). •  ObjecOve: –  Design the best condiOons for making strong solder joints...
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## This note was uploaded on 02/26/2012 for the course 650 486 taught by Professor Zou during the Fall '11 term at Rutgers.

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