Engineering, quality, and experimental design
Engineering, Quality and Experimental Design is a unique text which will aid design and production engineers in their efforts to improve quality and productivity. Keeping formulae to a minimum, the authors explain the fundamental ideas involved in planning efficient experiments and making good use of the results. The book presents the engineer with a coherent strategy for using experiments to support product and process engineering, drawing on real-life examples of engineering practice. The content has been inspired by the work of the Japanese engineer Genichi Taguchi, but the authors show how many of Taguchi's objectives can be accomplished using simpler methods and utilizing modern computer technology. Particular emphasis has been given to experiments which are aimed at improving quality by reducing variation. Provides a clear explanation of the important topics of quality testing and productivity improvement in engineering design and manufacture using the Taguchi method.
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EXPERIMENTS WITH FACTORS AT TWO LEVELS
PLANNING A TWOLEVEL EXPERIMENT
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1.5 Half normal allocated analysis analysis of variance average calculated carburettor Chapter checking contrasts coefficients column components configuration confounding pattern contrast values control factors Daniel plot dispersion effects distribution Divisor eight engine mapping estimate example experimental plan factor levels formula fuel flow full normal plot Half normal score interaction contrasts linear effect linear graph location and dispersion location effects logarithmic scale loss function matrix measure multiple regression noise factor nominal normal distribution normal score Fig number of runs orthogonal array orthogonal contrasts outer array output parameter design prediction equation quadratic contrasts quadratic effects quality characteristic re-coding residuals S/N ratio seam width second-order equation Section shown in Table signal factor signal-to-noise ratio standard deviation standardized contrasts statistical methods statistical process control sum of squares Taguchi Taguchi methods tee clamp three-level factors transformation two-level factors two-way interactions variables Wheatstone bridge