Max Ahlqvist

ORCID: 0000-0003-2517-6013
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About
Contact & Profiles
Research Areas
  • Fatigue and fracture mechanics
  • Microstructure and Mechanical Properties of Steels
  • Structural Health Monitoring Techniques
  • Advanced Welding Techniques Analysis
  • Probabilistic and Robust Engineering Design
  • Metal Forming Simulation Techniques

Atlas Copco (Sweden)
2023-2024

Linköping University
2023-2024

The length-scale dependence of fatigue crack growth is evaluated for a set metallic materials, namely titanium Ti-6Al-4V, ductile iron EN-GJS-500-7 and tool steel AISI H13, by performing tests on geometrically similar compact C(T) specimens different sizes. With references to length-scale-invariant variables, notably the rate normalised specimen width, it demonstrated that not process tested conditions. In particular, less significant larger at longer lengths. test results also contradict...

10.1016/j.ijfatigue.2024.108545 article EN cc-by International Journal of Fatigue 2024-08-10

To account for or neglect the defect position, i.e. fatigue initiating location, both radially and axially, is evaluated hourglass-shaped ultrasonic specimen. The commonly used analytical equations to calculate stress compared against a finite element (FE) based approach, which able fully considering state at position. Notably, effects on several common analyses are evaluated: strength distribution, stress–life stress–defect relationships. Fracture mechanical assessment also performed,...

10.1016/j.engfracmech.2024.110342 article EN cc-by Engineering Fracture Mechanics 2024-07-30

A general testing and analysis framework for the Step-Stress fatigue method is identified, utilizing interval-censored data maximum likelihood estimation in an effort to improve of strength distribution parameters has been performed. The method's limitations are characterized, using a simple material model that considers cumulative damage evaluate load history effects. In this way, performance including was evaluated quantified probabilistic approach with Monte-Carlo simulations, benchmarked...

10.1016/j.probengmech.2023.103535 article EN cc-by Probabilistic Engineering Mechanics 2023-09-19
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