Measuring forming limit diagrams (FLDs) is a time consuming and expensive process. Machine learning (ML) methods are a promising route to predict FLD of aluminium alloys. In the present work, we developed a machine learning (ML) based tool to establish the relationships between alloy composition / thermomechanical processing route to the material's FLD.
:Full-time
:USA-GA-Kennesaw (Global R&T)
:Global R&T
:Standard
:Research & Development
The NUMISHEET conference series is the most significant international conference on the area of the numerical simulation of sheet metal forming processes. Within Numisheet 2020, we are organizing a mini symposium on “Challenges and Opportunities in Forming Aluminum”.
Materials Testing is that part of engineering design, development and research that relies on laboratory testing of one kind or another to answer questions. Testing is also required during manufacturing to ensure a material or product meets some predefined specification. A universal testing machine is used to measure the mechanical properties of materials intension, compression, bending or torsion. Common properties of interest include Offset Yield Strength, Young’s Modulus, Poisson's Ratio, Tensile and Compression Strength and Total Elongation.
In numerical simulation of sheet metal
forming process, the cyclic mechanical behavior of metallic sheet is
required to calibrate the material parameters of the combined
isotropic-kinematic hardening model. Therefore the development of
experimental device and method is an important work in order to
measure the cyclic mechanical behavior of metallic sheet. There are
several experimental devices which can measure this cyclic mechanical
behavior of sheet metal mainly to measure the Bauschinger behavior.
Often, these experiments can be classified into three main
categories: (i) in-plane tension-compression test; (ii) in-plane
cyclic simple shear test; (iii) bending-reverse bending test.
In this paper, a novel approach is
We are seeking a highly qualified candidate for a full-time postdoctoral researcher position in the area of Computational Mechanics at the Graduate Institute of Ferrous Technology (GIFT), Pohang University of Science and Technology (POSTECH), Korea. Candidates with a strong background in continuum/dislocation-based plasticity theory, computational mechanics of sheet metals, FE modelling of sheet metal forming processes… are highly encouraged to apply.
Responsibilities:
