Effect of heat-treatment on microstructure and mechanical properties of Ti alloys: An overview
P Yadav, KK Saxena - Materials Today: Proceedings, 2020 - Elsevier
The present review paper complies the information of Ti and its alloys from basic processing
to mechanical properties, along with various microstructure and heat-treatment processes …
to mechanical properties, along with various microstructure and heat-treatment processes …
[HTML][HTML] Hot deformation processing of shape memory alloys: A review of effects on plastic flow behaviour, deformation mechanisms, and functional characteristics
Hot working processes are notable processes for transforming as-cast or wrought metallic
materials, including shape memory alloys (SMAs), into semi-finished or finished products for …
materials, including shape memory alloys (SMAs), into semi-finished or finished products for …
Fatigue behavior prediction and analysis of shot peened mild carbon steels
One of the well-known methods of severe plastic deformation (SPD), shot peening is widely
used to improve the mechanical properties and fatigue behavior of metallic materials. The …
used to improve the mechanical properties and fatigue behavior of metallic materials. The …
Optimization of hybrid manufacturing process combining forging and wire-arc additive manufactured Ti-6Al-4V through hot deformation characterization
AK Maurya, JT Yeom, SW Kang, CH Park… - Journal of Alloys and …, 2022 - Elsevier
Recently, the hybrid method has been developed in which wire and arc additive
manufacturing (WAAM) use to produce the near net shape preform for the single-step hot …
manufacturing (WAAM) use to produce the near net shape preform for the single-step hot …
Phase transformation and constitutive models of a hot compressed TC18 titanium alloy in the α+ β regime
The flow behaviors of TC18 titanium alloy are studied in the α+ β regime by hot compression
tests at the strain rates of 0.001–0.1 s− 1 and temperatures of 1033–1123 K. The …
tests at the strain rates of 0.001–0.1 s− 1 and temperatures of 1033–1123 K. The …
Dynamic behavior and modified artificial neural network model for predicting flow stress during hot deformation of Alloy 925
Y Zhu, Y Cao, C Liu, R Luo, N Li, G Shu… - Materials Today …, 2020 - Elsevier
In this work, the hot deformation behavior of Alloy 925 with intermediate strain rates of 0.01
s− 1-10s− 1 ranging from 900° C to 1150° C has been investigated through the isothermal …
s− 1-10s− 1 ranging from 900° C to 1150° C has been investigated through the isothermal …
Establishing flow stress behaviour of Ti-6Al-4V alloy and development of constitutive models using Johnson-Cook method and Artificial Neural Network for quasi-static …
S Deb, A Muraleedharan, RJ Immanuel… - Theoretical and Applied …, 2022 - Elsevier
Abstract Ti-6Al-4V alloy is one of the most widely used material in both research as well as
in commercial industries at present due to its high strength-to-weight ratio, low density and …
in commercial industries at present due to its high strength-to-weight ratio, low density and …
[HTML][HTML] Microstructural and constitutive relationship in process modeling of hot working: The case of a 60Mg-30Pb-9.2 Al-0.8 B magnesium alloy
B Li, Y Duan, S Zheng, M Peng, M Li, H Bu - Journal of Materials Research …, 2023 - Elsevier
Hot compression tests in the temperature range of 493-653 K and strain rates of 0.01-10.00
s− 1 were used to evaluate the hot deformation behavior of 60Mg-30Pb-9.2 Al-0.8 B alloy. In …
s− 1 were used to evaluate the hot deformation behavior of 60Mg-30Pb-9.2 Al-0.8 B alloy. In …
New constitutive model for high-temperature deformation behavior of inconel 718 superalloy
Hot deformation behavior of an aged inconel 718 superalloy is investigated by isothermal
compression tests over wide ranges of strain rate and deformation temperature. In this study …
compression tests over wide ranges of strain rate and deformation temperature. In this study …
[HTML][HTML] Application of artificial neural networks for characterisation of formability properties of sheet metals
I Czinege, D Harangozó - International Journal of Lightweight Materials and …, 2024 - Elsevier
Artificial neural network models were developed to estimate forming limit diagrams from
tensile test results based on our own experiments and data from the literature for steel and …
tensile test results based on our own experiments and data from the literature for steel and …