He develops a model that uses a series of legendre

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Unformatted text preview: esign and Manufacturing, 321 – 330. © 2007 Springer. 322 M. R. Tonks, K. W. Chase and C. C. Smith computational cost using influence coefficients. [Chang and Gossard, 1997] simulate the assembly and measurement processes, along with the part stiffness matrix, to find the variation introduced into the assembly. [Sellem and Riviere, 1998] combine the results of Liu and Hu and Chang and Gossard to create a linear method that uses influence coefficients to find the part variation. [Camelio et al., 2003] use the method of Liu and Hu in a multi-station assembly method that accurately represents the assembly process and [Camelio et al., 2004 ] express the part covariance matrix in terms of its eigenvectors to identify the critical variation modes. [Merkley and Chase, 1996] develop a set of linear equations that account for part covariance in conjunction with part stiffness matrices with only two finite element solutions. [Bihlmaier, 1999] includes surface variation using spectral analysis in Merkley and Chase’s method. In a similar method, [Huang and Ceglarek, 2002] use a discrete-cosine-transformation to model the part form error. [Soman, 1999] shows that the surface vari...
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This note was uploaded on 08/03/2010 for the course DD 1234 taught by Professor Zczxc during the Spring '10 term at Magnolia Bible.

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