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Reliability-based design optimization of ball-end milling parameters using two-stage Kriging model and dandelion optimizer
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DOI：10.1016/j.advengsoft.2026.104181.png)
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Abstract
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• A reliability-based design optimization framework for ball-end milling parameters explicitly accounting for parameter randomness. • Mechanistic prediction models for milling force and surface roughness are developed that comprehensively incorporate key physical effects. • A two-stage enrichment strategy is proposed to balance computational accuracy and efficiency in the evaluation of probabilistic constraints. • The feasibility and engineering applicability of the proposed RBDO approach are demonstrated through a practical case study.
Keywords:
Reliability-based design optimization
Ball-end milling
Parameter randomness
Kriging model
Dandelion optimizer
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