Prediction of surface roughness in the end milling machining using Artificial Neural Network
This paper presents the ANN model for predicting the surface roughness performance
measure in the machining process by considering the Artificial Neural Network (ANN) as the …
measure in the machining process by considering the Artificial Neural Network (ANN) as the …
A machine learning based optimization method towards removing undesired deformation of energy-absorbing structures
Z Li, W Ma, S Yao, P Xu, L Hou, G Deng - Structural and Multidisciplinary …, 2021 - Springer
Optimization for the energy-absorbing structures can achieve their better crashworthiness
and lightweight performance. However, traditional optimization methods cannot handle …
and lightweight performance. However, traditional optimization methods cannot handle …
Replacing the internal standard to estimate micropollutants using deep and machine learning
Similar to the worldwide proliferation of urbanization, micropollutants have been involved in
aquatic and ecological environmental systems. These pollutants have the propensity to …
aquatic and ecological environmental systems. These pollutants have the propensity to …
Estimation of the minimum machining performance in the abrasive waterjet machining using integrated ANN-SA
In this study, Artificial Neural Network (ANN) and Simulated Annealing (SA) techniques were
integrated labeled as integrated ANN-SA to estimate optimal process parameters in …
integrated labeled as integrated ANN-SA to estimate optimal process parameters in …
Constitutive description of 7075 aluminum alloy during hot deformation by apparent and physically-based approaches
H Mirzadeh - Journal of Materials Engineering and Performance, 2015 - Springer
Hot flow stress of 7075 aluminum alloy during compressive hot deformation was correlated
to the Zener-Hollomon parameter through constitutive analyses based on the apparent …
to the Zener-Hollomon parameter through constitutive analyses based on the apparent …
Constitutive modelling for elevated temperature flow behaviour of AA7075
D Trimble, GE O'donnell - Materials & Design, 2015 - Elsevier
Isothermal hot compression tests were conducted on a Gleeble-3800 mechanical simulator
over a wide processing domain of temperatures (523–723 K) and strain-rates (0.001–100 s …
over a wide processing domain of temperatures (523–723 K) and strain-rates (0.001–100 s …
The deformation behavior and processing maps in the isothermal compression of 7A09 aluminum alloy
J Luo, MQ Li, DW Ma - Materials Science and Engineering: A, 2012 - Elsevier
Isothermal compression tests of 7A09 aluminum alloy were carried out on a Gleeble-1500
simulator at the deformation temperatures ranging from 633K to 733K, the strain rates …
simulator at the deformation temperatures ranging from 633K to 733K, the strain rates …
Predicting flow stress behavior of an AA7075 alloy using machine learning methods
The present work focuses on the prediction of the hot deformation behavior of thermo-
mechanically processed precipitation hardenable aluminum alloy AA7075. The data …
mechanically processed precipitation hardenable aluminum alloy AA7075. The data …
Investigation on the grain structure evolution and abnormal stress increase of Al–Mg–Si alloy during hot deformation
Abstract Al–Mg–Si alloys are widely used in many fields due to their excellent
comprehensive performance, but medium strength. In order to study the hot deformation …
comprehensive performance, but medium strength. In order to study the hot deformation …
Exit burr height mechanistic modeling and experimental validation for low-frequency vibration-assisted drilling of aluminum 7075-T6 alloy
S Li, D Zhang, C Liu, H Tang - Journal of Manufacturing Processes, 2020 - Elsevier
The burr influences the surface quality and the performance of the part. Nowadays, vibration-
assisted drilling (VAD) is used to decrease the exit burr size. However, further analysis of the …
assisted drilling (VAD) is used to decrease the exit burr size. However, further analysis of the …