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André Hürkamp

Researcher at Braunschweig University of Technology

Publications -  19
Citations -  102

André Hürkamp is an academic researcher from Braunschweig University of Technology. The author has contributed to research in topics: Computer science & Engineering. The author has an hindex of 3, co-authored 16 publications receiving 37 citations. Previous affiliations of André Hürkamp include Leibniz University of Hanover & Dresden University of Technology.

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Combining Simulation and Machine Learning as Digital Twin for the Manufacturing of Overmolded Thermoplastic Composites

TL;DR: A cyber physical production system based framework for a digital twin combining simulation and machine learning is presented and a FEM surrogate model is developed that is able to predict the interface bond strength quality in dependence of the process settings.
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Integrated computational product and production engineering for multi-material lightweight structures

TL;DR: An integrated computational concept that includes product engineering and production engineering is presented that combines detailed finite element analyses of products and their related production process with process chain and factory simulations and includes surrogate models based on machine learning.
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Finite Element and Finite Volume Modelling of Friction Drilling HSLA Steel under Experimental Comparison.

TL;DR: In this article, a detailed material characterisation was carried out to describe the material behaviour during a friction drilling process realistically, and numerical models of the friction drilling were created using the finite element method in 3D as well as 2D.
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Complex step derivative approximation of consistent tangent operators for viscoelasticity based on fractional calculus

TL;DR: In this article, the convergence behavior of simulations with nonlinear viscoelastic models for rubber-like materials using fractional derivatives is investigated based on the complex step derivative approximation, and numerical approximation schemes for tangent operators on the local and global algorithmic level are analyzed.
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Simulation-based digital twin for the manufacturing of thermoplastic composites

TL;DR: In this article, a reduced order model based on Proper Orthogonal Decomposition (POD) is developed for the simulation of the thermoforming process, which enables the real-time computation of arbitrary physical reliable temperature fields with sufficient accuracy to be used for design purposes and as inline quality gates.