scholarly journals Numerical modeling and analysis for forming process of dual-phase 980 steel exposed to infrared local heating

2015 ◽  
Vol 75-76 ◽  
pp. 211-224 ◽  
Author(s):  
Eun-Ho Lee ◽  
Dong-Yol Yang ◽  
Jeong Whan Yoon ◽  
Woo-Ho Yang
Keyword(s):  
Numerical Modeling ◽  
Local Heating ◽  
Dual Phase ◽  
Forming Process ◽  
Modeling And Analysis

scholarly journals Special Issue “Applications of Finite Element Modeling for Mechanical and Mechatronic Systems”

2021 ◽  
Vol 11 (11) ◽  
pp. 5170
Author(s):  
Marek Krawczuk ◽  
Magdalena Palacz
Keyword(s):  
Finite Element Method ◽  
Finite Element ◽  
Numerical Modeling ◽  
Engineering Practice ◽  
The Finite Element Method ◽  
Special Issue ◽  
Mechatronic Systems ◽  
Modeling And Analysis ◽  
Modern Engineering ◽  
Concise Description

Modern engineering practice requires advanced numerical modeling because, among other things, it reduces the costs associated with prototyping or predicting the occurrence of potentially dangerous situations during operation in certain defined conditions. Different methods have so far been used to implement the real structure into the numerical version. The most popular have been variations of the finite element method (FEM). The aim of this Special Issue has been to familiarize the reader with the latest applications of the FEM for the modeling and analysis of diverse mechanical problems. Authors are encouraged to provide a concise description of the specific application or a potential application of the Special Issue.

Numerical modeling and analysis of thermal and mechanical behavior for ground wire-clamp system under short-circuit current

2021 ◽  
Vol 201 ◽  
pp. 107497
Author(s):  
Gang Liu ◽  
Wencheng Zheng ◽  
Deming Guo ◽  
Ruidong Peng ◽  
Xuan Lin ◽  
...  
Keyword(s):  
Numerical Modeling ◽  
Mechanical Behavior ◽  
Short Circuit ◽  
Short Circuit Current ◽  
Modeling And Analysis

Numerical modeling and analysis of heat transfer for floatation nozzle with a flexible substrate

2019 ◽  
Vol 137 ◽  
pp. 665-674 ◽  
Author(s):  
Tianlun Huang ◽  
Penghui Tan ◽  
Maoyuan Li ◽  
Yun Zhang ◽  
Huamin Zhou
Keyword(s):  
Heat Transfer ◽  
Numerical Modeling ◽  
Flexible Substrate ◽  
Modeling And Analysis

Hybrid forming process of AA 6108 T4 thin sheets: Modelling by neural network solutions

2008 ◽  
Vol 223 (5) ◽  
pp. 535-545 ◽  
Author(s):  
M Barletta ◽  
A Gisario ◽  
S Guarino
Keyword(s):  
Neural Network ◽  
Local Heating ◽  
Elastic Strain Energy ◽  
Laser Source ◽  
Training Algorithms ◽  
Thin Sheets ◽  
Forming Process ◽  
Neural Network Models ◽  
Linear Deformation ◽  
Source Power

The highly non-linear deformation processes occurring in most dynamic sheet metal forming operations cause large amounts of elastic strain energy to be stored in the formed material and massive related springback phenomena. Therefore, this paper investigates how effective a laser source is in reducing the extent of springback in mechanical contact forming operations. The hybrid forming process investigated was composed of using a high-power diode laser to induce local heating of mechanically bent AA 6108 T4 thin sheets in order to minimize the extent of the springback. In particular, experiments were carried out to assess the influence of the leading process parameters such as laser source power, scan speed, and starting elastic deformation of the mechanically bent sheets. It was found that the trends in the experimental response of residual deflection were always consistent with the operating parameters. Artificial intelligence techniques were then used to model the hybrid forming process. The extent of the springback in the hybrid forming process of AA 6108 T4 thin sheets was predicted by using different neural network models and training algorithms. Lastly, the reliability of the best neural network solutions was checked by comparing these solutions with experimental results and by developing an ad hoc first approximation technical model.

Numerical modeling and analysis of dual medium thermocline thermal energy storage

2018 ◽  
Vol 16 ◽  
pp. 218-230 ◽  
Author(s):  
Bhaskar Rahul Nandi ◽  
Santanu Bandyopadhyay ◽  
Rangan Banerjee
Keyword(s):  
Numerical Modeling ◽  
Energy Storage ◽  
Thermal Energy ◽  
Thermal Energy Storage ◽  
Modeling And Analysis
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