Page 192 - Design for Six Sigma a Roadmap for Product Development
P. 192

Design for Six Sigma Project Algorithm  165


           terms of the P-diagram, this can be depicted as FR   f (signal factors,
           noise factors, design parameters) in the physical mapping and DP
           f (signal factors, noise factors, process variables) in the process map-
           ping. The zigzagging process helps the team identify the partial
           transfer function FR (DP)   f (signal factors, design parameters) in
           the physical structure. The P-diagram enables the teams to comple-
           ment this function with the noise factors. At constant DP or PV
           settings and zero-noise-factor effects, the relationship FR or DP
           f (signal factors) is called the  “ideal function” in robust design
           methodology. The ideal function is a description of “how the system
           works if it performs its intended function perfectly.” In design terms,
           the ideal function is a mathematical description of the energy trans-
           formation relationship between the signal and the response. The rea-
           son for studying the ideal function is to have a physics-based
           mathematical model of the system under consideration before testing.
           This allows the team to evaluate various control factor levels in spite
           of the presence of noise factors.
             The ideal function of the press-fit process is

                                                2
                                       F p   Z 0   r                    (5.1)
           where F p   press force (a measurable DP in the process structure)
                  Z 0   joint material stiffness coefficient (accounts for pulley
                       geometry and material properties)
                    r   relative interference (signal), calculated as

                                      OD shaft   ID pulley
                        r                              signal (M)      (5.2)
                            OD shaft      OD shaft
           In other words, we present the process with some relative interference
           between the hub and the shaft, the signal, and using the process, we
           get a joint force holding both components together. The transfer func-
           tion can be written as shown in Eq. (5.3). The exact mathematical
           transfer function relationship can be found empirically through a DOE
           as no equation is readily available in the literature to the author’s
           knowledge.

                     2
             F p   f (  r );  signal                                    (5.3)
                  Perpendicularity shaft to end
                  perpendicularity threads to end,
                  coaxiality of shaft to threads,  }    noise factors
                  concentricity shaft to end,
                  molding deformation of hub,
                  gun aging noise factors;
   187   188   189   190   191   192   193   194   195   196   197