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262   Chapter Eight


                                                      P-diagram

            Device # 1: Ring Rotor  x 1.3.1-1  x 1.3.2-1  Close tolerance
            Clearance to Chamber  Close Clearance  Material Coating  lubrication
            y 1.3.1 -1  Minimize
            leak (loss of flow) from high  A 11
            pressure to low pressure                  Ring rotor  Leakage
            y 1.3.2-1   Lubricate  A  0    A          clearance
            running surface of chamber  21  22                   Lubricate
                                                      to chamber
                                                                 chamber surface



                                                     Cover flatness
                                                     Pocket flatness
                                                     Cover deflection
                                                     Fluid temperature
                                                     Fluid condition
           Figure 8.17 The P-diagram of sealing device 1 with DFSS.



             This parameter also should be smartly introduced, yielding uncoupled
           or at least decoupled designs. This parameter should deliver one of the
           FRs without adversely affecting the other FR. Using TRIZ, these char-
           acteristics fit the coating to be declared as x 1.3.2 in the sealing 1 mapping.
           Coating will help the lubrication by surface tensions of the hydraulic
           media keeping the surfaces wet and lubricated. Coating does not affect
           leakage, allowing the tolerance to be tightened to minimize the leakage.
           The resulting mapping and the P-diagram are given in Fig. 8.17.


           8.6 The Implications of Axiom 2
           Axiom 2 deals with design information content (complexity), which in
           essence is a function of the number of FRs and DPs (solution size) and
           their inherent variation. Shannon entropy can be used to quantify the
           information content. In a study on digital signal communication,
           Shannon (1948) defined a level of complexity, called the entropy, below
           which the signal can’t be compressed. The principle of entropy was
           generalized to many disciplines and used as a measure of uncertainty.
           In the design context, Suh (1990) proposed information as a measure
           of complexity in axiom 2.


           8.6.1 The complexity paradigm
           Complexity in design has many facets, including the lack of trans-
           parency of the transfer functions between inputs and outputs in the
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