Adaptive machining scheme for a multi-hole part with multi-position accuracy tolerances
The machining of multi-hole parts often has complex correlated position accuracy tolerances. When some position accuracies do not meet the tolerances, several hole axes need to be adjusted. Previous methods usually corrected all deviated axes to their theoretical locations. However, this correction...
Gespeichert in:
Veröffentlicht in: | International journal of advanced manufacturing technology 2022-07, Vol.121 (1-2), p.661-670 |
---|---|
Hauptverfasser: | , , , , |
Format: | Artikel |
Sprache: | eng |
Schlagworte: | |
Online-Zugang: | Volltext |
Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
Zusammenfassung: | The machining of multi-hole parts often has complex correlated position accuracy tolerances. When some position accuracies do not meet the tolerances, several hole axes need to be adjusted. Previous methods usually corrected all deviated axes to their theoretical locations. However, this correction workload is too large and inefficient. This study proposes an efficient and adaptive hole position correction model for a multi-hole part, and the corresponding correction suggestions can be obtained by substituting the obtained semi-finishing test data into the model and solving it. First, according to the position accuracy tolerances of multi-hole parts, the geometric relationship between the holes and surfaces is established. Then, the model is established in which the objective is to minimize the number of holes to be corrected, and the constraints are the parallelism and perpendicularity tolerances and other constraints of the holes. Finally, the number and axis positions of the holes to be corrected can be obtained by solving the model. The simulation and the experimental results show that the use of this model can effectively reduce the number of holes that need to be corrected during the compensation of the position error between holes. This improves the efficiency in the subsequent compensation process significantly. |
---|---|
ISSN: | 0268-3768 1433-3015 |
DOI: | 10.1007/s00170-022-09315-9 |