A Library of Orthogonal Arrays by N J A Sloane; Table of Taguchi Designs. Note that L36b is temporarily unavailable - cf. http://www.itl.nist.gov/div898/software/dataplot/designs.htm.

2023年3月11日 · The experimental design proposed by Taguchi involves using orthogonal arrays to organize the parameters affecting the process and the levels at which they should be varies. Instead of having to test all possible combinations like the factorial design, the Taguchi method tests pairs of combinations.

Orthogonal arrays are the “best” and most common type of Taguchi array, and you are encouraged to use orthogonal arrays whenever time and cost permit. A table of Taguchi orthogonal arrays is provided below for values of P (number of parameters) ranging from 2 to 5, and L (number of levels) ranging from 2 to 5. P = L = 2 3 4 5 2

Taguchi orthogonal array (L16) and analysis of variance (ANOVA) is implemented. It is observed that, current intensity and variation in electrode length (EL) are the major factor affecting linear...

2010年9月15日 · An experimental L 16 array from the Taguchi method was applied for the optimization of the adsorption conditions. The five factors selected were: temperature (10, 20, 30, 40 °C), specific surface area (67, 89, 114, 143 m 2 g −1 ), initial concentration (250, 500, 1000, 1500), pH (2, 6, 10, 13), and mass–volume ratio (10, 50, 100, 150 g mL ...

This study aimed to apply the Taguchi optimization technique to determine the process conditions for producing synthetic lightweight aggregate (LWA) by incorporating tile grinding sludge powder...

taguchi l16 orthogonal design: number of factors = 15 number of levels for each factor = 2 number of observations = 16

How to Construct Taguchi Orthogonal Array L16(2^15) in MS Excel. How to Construct Taguchi Orthogonal Array L32(2^31) in MS Excel. Construct Any (Taguchi) Orthogonal Arrays upto L36(2^35) in MS Excel. Taguchi Linear Graphs Explained and How to Use Them. Taguchi Triangular Interactions Table Explained and How to Use them in the Design of Experiments

The numerical experiments by use of the standard Taguchi method with OA L16 matrix is presented in Table 4. Then, the experimental results by use of OA L16 matrix from Table 4 can be...

2013年11月1日 · Taguchi orthogonal design was used for multivariate optimization of Cd(II) removal by Carpinus betulus tree leaves from an aqueous solution in a batch system. Effective factors on adsorption process, such as temperature, amount of sorbent, initial concentration of Cd(II), pH value, and particle size were considered using an L 16 orthogonal ...