Abstract
Surface topography critically affects assembly accuracy, yet conventional studies rarely capture its multiscale nature or provide observational evidence, consequently restricting predictive confidence and physical understanding. Accordingly, this paper presents a novel multiscale analysis framework integrating surface decomposition with finite element simulation to bridge this gap, as verified and validated in a precision mirror case study. An improved Bidimensional Empirical Mode Decomposition (BEMD) method is developed to effectively separate simulated and measured surfaces into form, waviness, and roughness components, enabling a quantitative investigation into the contribution of each surface component to the mirror's surface-figure error. The results indicate that waviness contributes more to the RMS than form (44.34% vs. 30.18%) in ground surfaces, despite its smaller flatness error (6.40 μm vs. 12.65 μm), while form dominates in milled surfaces. This counterintuitive phenomenon reveals the fact that waviness induces greater non-uniformity in contact stress distribution. By clarifying scale-specific effects, this work not only underscores the importance of multiscale analysis in precision assembly but also establishes a rational link between manufacturing processes and final assembly performance.
| Original language | English |
|---|---|
| Pages (from-to) | 300-313 |
| Number of pages | 14 |
| Journal | Journal of Manufacturing Systems |
| Volume | 86 |
| DOIs | |
| Publication status | Published - Jun 2026 |
Keywords
- Multiscale analysis
- Optical mirror
- Precision assembly
- Surface decomposition
- Surface topography
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