Fatigue performance of metal additive manufacturing: a comprehensive overview

Article Properties
  • Language
    English
  • Publication Date
    2024/03/21
  • Indian UGC (journal)
  • Refrences
    303
  • Hamidreza Javidrad Faculty of Engineering and Natural Sciences, Sabanci University, Istanbul 34956, Turkey ORCID (unauthenticated)
  • Bahattin Koc Faculty of Engineering and Natural Sciences, Sabanci University, Istanbul 34956, Turkey
  • Hakan Bayraktar Additive Manufacturing, General Electric Aviation, Kocaeli 41400, Turkey
  • Ugur Simsek Additive Manufacturing, General Electric Aviation, Kocaeli 41400, Turkey
  • Kadir Gunaydin Additive Manufacturing, General Electric Aviation, Kocaeli 41400, Turkey
Cite
Javidrad, Hamidreza, et al. “Fatigue Performance of Metal Additive Manufacturing: A Comprehensive Overview”. Virtual and Physical Prototyping, vol. 19, no. 1, 2024, https://doi.org/10.1080/17452759.2024.2302556.
Javidrad, H., Koc, B., Bayraktar, H., Simsek, U., & Gunaydin, K. (2024). Fatigue performance of metal additive manufacturing: a comprehensive overview. Virtual and Physical Prototyping, 19(1). https://doi.org/10.1080/17452759.2024.2302556
Javidrad H, Koc B, Bayraktar H, Simsek U, Gunaydin K. Fatigue performance of metal additive manufacturing: a comprehensive overview. Virtual and Physical Prototyping. 2024;19(1).
Journal Categories
Science
Science
Chemistry
Technology
Engineering (General)
Civil engineering (General)
Technology
Manufactures
Technology
Technology (General)
Industrial engineering
Management engineering
Refrences
Title Journal Journal Categories Citations Publication Date
Electron Beam Additive Manufacturing of Titanium Components: Properties and Performance

Journal of Manufacturing Science and Engineering
  • Technology: Manufactures
  • Technology: Mechanical engineering and machinery
  • Technology: Mechanical engineering and machinery
  • Technology: Engineering (General). Civil engineering (General)
274 2013
X-ray computed tomography for additive manufacturing: improved non-destructive evaluation using deep learning 2023
Fatigue design of Additive Manufacturing components through Topology Optimization: Comparison of methodologies based on the defect distribution and on the stress gradient

Fatigue & Fracture of Engineering Materials & Structures
  • Technology: Mechanical engineering and machinery
  • Science: Chemistry
  • Technology: Electrical engineering. Electronics. Nuclear engineering: Materials of engineering and construction. Mechanics of materials
  • Technology: Electrical engineering. Electronics. Nuclear engineering: Materials of engineering and construction. Mechanics of materials
2 2023
Tensile and fatigue behaviors of additively manufactured AlSi10Mg: Effect of solutionizing and aging heat treatments

Fatigue & Fracture of Engineering Materials & Structures
  • Technology: Mechanical engineering and machinery
  • Science: Chemistry
  • Technology: Electrical engineering. Electronics. Nuclear engineering: Materials of engineering and construction. Mechanics of materials
  • Technology: Electrical engineering. Electronics. Nuclear engineering: Materials of engineering and construction. Mechanics of materials
2 2023
Effects of sandblasting and HIP on very high cycle fatigue performance of SLM-fabricated IN718 superalloy Journal of Materials Research and Technology
  • Technology: Mining engineering. Metallurgy
  • Science: Chemistry
  • Technology: Mining engineering. Metallurgy
  • Technology: Electrical engineering. Electronics. Nuclear engineering: Materials of engineering and construction. Mechanics of materials
  • Technology: Chemical technology
  • Technology: Electrical engineering. Electronics. Nuclear engineering: Materials of engineering and construction. Mechanics of materials
  • Technology: Electrical engineering. Electronics. Nuclear engineering: Materials of engineering and construction. Mechanics of materials
22 2022