5. Conclusion

process plans based on a user-specified critical feature precedence [19]. Individual modules are used to process machine information about specific feature types (hole, pocket, slot, etc.) and calculate required tooling and approximate machining times for each feature and part [19]. Based on user preference, FAH-PS can also generate additional process plans that aim to minimize tool changes, orientation changes, etc. to improve process times [19]. Figure 10 shows the decision tree that FAH-PS

A case study was completed using the FAH-PS framework of a HMP bone plate shown below in Figure 11. More information regarding the specifics of this study can be found in [19]. In summary, FAH-PS produced 4 automated process plans,

Case study of using FAH-PS for finishing of a patient-specific bone plate (reproduced with permission from

Manual 17 — 2 26 Feature precedence 11 6 16 4 Orientation change 10 7 16 2 Tool change 9 8 4 12

Time saved (Min)

Tool Changes count

7 10 10 2

Orientation Change count

follows in the development of process plans.

the results shown in Table 1.

Mass Production Processes

FAH-PS decision structure (adapted from [19]).

Process plan Machining Time

FAH-PS case study results (recreated results from [19]).

Orientation and tool

change

Table 1.

128

(Min)

Figure 10.

Figure 11.

[16]).

Within this chapter several hybrid manufacturing processes were outlined and an overview of factors affecting the development of process plans for these processes was given. The complexities of process planning for multi-staged processes and optimization of such process plans was also explored. Effective planning for HMPs requires a shift from manual approach to an automated process planning system. The FAH-PS system was provided as one example of a system designed to plan for such HMP.
