Matrices conformability

The Conformability Matrix (see later for an example) primarily drives assessment of the variability effeets. The Conformability Matrix requires the deelaration of FMEA Severity Ratings and deseriptions of the likely failure mode(s). It is helpful in this respeet to have the results from a design FMEA for the produet. 

The final part of the analysis is based around the eompletion of a Conformability Matrix relating variability risk indiees for eomponent manufaeturing/assembly... 

Figure 2.32 Conformability matrix symbols and their quantification...

The link with FMEA brings into play the additional dimension of potential variability into the assessment of the failure modes and the effects on the customer. The Conformability Matrix also highlights those bought-in components and/or assemblies that have been analysed and found to have conformance problems and require further communication with the supplier. This will ultimately improve the supplier development process by highlighting problems up front. 

For each q and q risk value and the Severity Rating (S), a level of design acceptability is determined from where these values intersect on the Conformability Map. The symbols, relating to the levels of design acceptability, are then placed in the nodes of the Conformability Matrix for each variability risk which the failure mode is directly dependent on for the failure to occur. Once the level of design acceptability has been determined, it can then be written on the Conformability Matrix in the Comments section. Cpi values predicted or comments for suppliers can be added too, although predicted Cp values can also be written in the variability risks results table. 

This figure is of course an estimate of lost profit and may even be conservative, but it clearly shows that the designer has a significant role in reducing the high costs of failure reported by many manufacturing companies. The results are repeated in the Conformability Matrix in Figure 2.33. 

Following the eompletion of the variability risks table, a Conformability Matrix was produeed. This was used to relate the failure modes and their severity eoming out of the design FMEA to the results of the Component Manufaeturing Variability Risk Analysis. The portion of the matrix eoneerned with the moulded hub ean be found in Figure 2.34(d) and was eompleted using the Conformability Map. 

Failure of this design in serviee did in faet result in user injury. High losses of the order of those ealeulated above for the partieular failure mode, ineluding legal eosts, were ineurred. A number of alternative designs are possible, and one whieh does not involve the above problems is ineluded with its Conformability Matrix in Figure 2.38. 

Figure 2.42 shows the variability risks analysis based on the toleranees assigned to meet the 0.2 mm toleranee for the assembly. Given that an FMEA Severity Rating (S) = 5 has been determined, whieh relates to a definite return to manufaeturer , both impaet extruded eomponents are in the unaeeeptable design region, as well as the bobbin and plunger end seal as shown on the Conformability Matrix in Figure 2.43. The toleranee for the brass tube base thiekness has no risk and is an aeeeptable design.

Figure 2.43 Conformability matrix for the solenoid end assembly initial design...

The variability risks table for the redesign is shown in Figure 2.45 and the Conformability Matrix in Figure 2.46. Clearly, maehining the eritieal faees on the impaet extruded eomponents has redueed the risks assoeiated with eonforming to the 0.2 mm toleranee for the plunger displaeement. 

The essential stereochemical features of molecular systems with n atoms can be described by data on dihedral angles which can be collected in C, an nXn configuration and conformation matrix (CC-matrix). 

Electron-Conformational Matrix of Congruity Electronic-Topological method... 

The mean-field approach is now described. The side chain degrees of freedom are defined by a conformational matrix, CM, where each rotamer, k, has a probability of CM( i, k), where the sum of the probabilities for a given residue, i, must be equal to 1. The potential of mean force, E(i,k), on the k-th rotamer of residue, i, is given by ... 

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