Search | Fracture and Structural Integrity

Search results

Fatigue and Fracture of metallic alloys Views: 955 Downloads: 751 Vol. 18, No. 68 (2024) March 10, 2024 pp. 340-356

Predictive Modeling of Fracture Behavior in Ti6Al4V Alloys Manufactured by SLM Process

Mohsen Sarparast, Majid Shafaie, Mohammad Davoodi, Ahmad Memaran Babakan, Hongyan Zhang

This study focuses on ductile fracture behavior prediction for Ti6Al4V alloys fabricated via Selective Laser Melting (SLM). A modified Gurson-Tvergaard-Needleman (GTN) model characterizes void growth and shear mechanisms under uniaxial…

10.3221/IGF-ESIS.68.23

Details: Predictive Modeling of Fracture Behavior in Ti6Al4V Alloys Manufactured by SLM Process PDF Visual Abstract

PDF Visual Abstract

SI: Russian mechanics contributions for Structural Integrity Views: 833 Downloads: 527 Vol. 18, No. 70 (2024) August 14, 2024 pp. 121-132

Application of deep learning for technological parameter optimization of laser shock peening of Ti-6Al-4V alloy

Mikhail Verezhak, Aleksei Vshivkov, Elena Gachegova, Maria Bartolomei, Alexander Mayer, Sathya Swaroop

The paper is devoted to the development of the method of laser shock peening (LSP) of metals. To optimize the mode of LSP for Ti-6Al-4V specimens a deep learning model for predicting residual stresses by laser shock peening was developed.…

10.3221/IGF-ESIS.70.07

Details: Application of deep learning for technological parameter optimization of laser shock peening of Ti-6Al-4V alloy PDF Visual Abstract

PDF Visual Abstract

SI: Fracture Mechanics versus Environment Views: 560 Downloads: 391 Vol. 13, No. 49 (2019) June 10, 2019 pp. 350-359

ANN Approach to Predict the Flow Stress of CMn (Nb-Ti-V) Micro Alloyed Steel

Abdelhalim ALLAOUI, Abdelmoumene GUEDRI, Lamia DARSOUNI, Abderrazek DARSOUNI

The hot behaviour of micro-alloy steel CMn (Nb-Ti-V) was studied using hot compression tests in a wide range of temperatures (700 to 1050 °C, step 50 °C), deformation rates (0.000794, 0.0029 and 0.01436 s^-1) and true deformation rates of 0…

10.3221/IGF-ESIS.49.35

Details: ANN Approach to Predict the Flow Stress of CMn (Nb-Ti-V) Micro Alloyed Steel PDF Visual Abstract

PDF Visual Abstract

Search tips

Exact phrase: "self-efficacy"
Leave a word out: education -higher
Beginning of a word: teach*
A DOI finds its article directly

Search the articles

Search results

Predictive Modeling of Fracture Behavior in Ti6Al4V Alloys Manufactured by SLM Process

Application of deep learning for technological parameter optimization of laser shock peening of Ti-6Al-4V alloy

ANN Approach to Predict the Flow Stress of CMn (Nb-Ti-V) Micro Alloyed Steel