Predicting fatigue failure in five‐axis machined ball‐end milled components through FKM local stress approach

Abstract Components created with five‐axis machining show a multi‐scale surface character due to cusps created on the surface and feed and tool marks within the cusps. Therefore, it becomes difficult to incorporate the effects of surface character on fatigue life for such components. In this work, an Forschungskuratorium Maschinenbau (FKM) guideline is adapted to develop a fatigue prediction model which considers cusps as notches and marks within the cusps as surface roughness (characterized by parameter R10z). The assessment uses stresses obtained from an finite element analysis model to predict the fatigue life of components whilst considering stress concentration, stress gradient, mean stress, and surface roughness effects. When cusps are regarded as surface roughness within the conventional FKM approach, fatigue life is considerably underestimated. In comparison, fatigue life predictions that take into consideration the roughness within cusps and treat cusps as stress‐raising notches are closer to experimental life.

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Publication Details

Journal
Fatigue & Fracture of Engineering Materials & Structures
Published
2024-08-05
DOI
https://doi.org/10.1111/ffe.14403
Citations
3
Primary Topic
Advanced machining processes and optimization
Type
article
Field-Weighted Citation Impact
0.64

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article

Predicting fatigue failure in five‐axis machined ball‐end milled components through FKM local stress approach

Zayeem Fazili, Karl Walton, Simon Barrans
3 citations
Fatigue & Fracture of Engineering Materials & Structures
Advanced machining processes and optimization
0.64
article

Predicting fatigue failure in five‐axis machined ball‐end milled components through FKM local stress approach

Zayeem Fazili, Karl Walton, Simon Barrans
article en
3 citations

Abstract

Abstract Components created with five‐axis machining show a multi‐scale surface character due to cusps created on the surface and feed and tool marks within the cusps. Therefore, it becomes difficult to incorporate the effects of surface character on fatigue life for such components. In this work, an Forschungskuratorium Maschinenbau (FKM) guideline is adapted to develop a fatigue prediction model which considers cusps as notches and marks within the cusps as surface roughness (characterized by parameter R10z). The assessment uses stresses obtained from an finite element analysis model to predict the fatigue life of components whilst considering stress concentration, stress gradient, mean stress, and surface roughness effects. When cusps are regarded as surface roughness within the conventional FKM approach, fatigue life is considerably underestimated. In comparison, fatigue life predictions that take into consideration the roughness within cusps and treat cusps as stress‐raising notches are closer to experimental life.

Fatigue & Fracture of Engineering Materials & StructuresVol. 47(10)
Engineering and Physical Sciences Research Council (GB), University of Huddersfield (GB)
University of Huddersfield
Openalex Percentile: Top 36%
Advanced machining processes and optimization
0.64
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Predicting fatigue failure in five‐axis machined ball‐end milled components through FKM local stress approach — Zayeem Fazili, Karl Walton, et al. · Fatigue & Fracture of Engineering Materials & Structures (2024) | TGRS Research Map | TGRS