Ductile fracture prediction for flow forming of Inconel 718 with experimental validation and finite element simulations


VURAL H., Fenercioğlu T. O., YALÇINKAYA T.

Engineering Fracture Mechanics, cilt.333, 2026 (SCI-Expanded, Scopus) identifier

  • Yayın Türü: Makale / Tam Makale
  • Cilt numarası: 333
  • Basım Tarihi: 2026
  • Doi Numarası: 10.1016/j.engfracmech.2025.111787
  • Dergi Adı: Engineering Fracture Mechanics
  • Derginin Tarandığı İndeksler: Science Citation Index Expanded (SCI-EXPANDED), Scopus, Compendex, INSPEC
  • Anahtar Kelimeler: Ductile fracture prediction, Flow forming process, Inconel 718, Process parameter optimization
  • Orta Doğu Teknik Üniversitesi Adresli: Evet

Özet

Flow forming is an advanced metal forming technique that allows the production of thin-walled, axisymmetric components with high dimensional accuracy and mechanical integrity. However, because preforms are subjected to complex stress states and intense plastic deformation during forming, geometric distortions and ductile fractures can occur, especially at high reduction ratios. This study provides a detailed analysis of widely used uncoupled ductile damage models for predicting fracture behavior during the flow forming of Inconel 718 alloy. Fifteen damage criteria, including both single- and multi-parameter damage models, are calibrated using tensile tests for four different geometries representing varying stress states. The models are implemented using a user-defined subroutine (VUSDFLD) in Abaqus/Explicit. The calibrated models are applied to both tensile tests and the flow forming process, with the results validated against experimental data. The findings indicate that the Ayada model provides more accurate damage predictions across all reduction ratios compared to other models, making it particularly suitable for the flow forming process. Furthermore, the influence of process parameters such as feed rate, revolution speed, feed ratio, and roller offset on formability and fracture initiation is investigated. The results underscore the crucial importance of selecting suitable process parameters and optimizing the forming process.