YUN XU

Mr. YUN XU

TU Dresden, Institute of Lightweight and Polymer Technology
orcid

Research Focus & Metrics

Academic Career Length

5Years (2022-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

View All Publications
28 January 2022 in Polymers
Verified
Journal Article
Open access
PDF file
AWAnja Winkler
Anja Winkler
NMNiels Modler
Niels Modler
Maik GudeMaik Gude
Maik Gude
YUN XUYUN XU
YUN XU
MHMartin Helwig
Martin Helwig
Thomas LampkeThomas Lampke
Thomas Lampke
Fiber-reinforced polymers are increasingly being used, especially in lightweight structures. Here, the effective adaptation of mechanical or physical properties to the necessary application or manufacturing requirements plays an important role. In this context, the alignment of reinforcing fibers is often hindered by manufacturing aspects. To achieve graded or locally adjusted alignment of different fiber lengths, common manufacturing technologies such as injection molding or compression molding need to be supported by the external non-mechanical process. Magnetic or electrostatic fields seem to be particularly suitable for this purpose. The present work shows a first simulation study of the alignment of magnetic particles in polymer matrices as a function of different parameters. The parameters studied are the viscosity of the surrounding polymer as a function of the focused processing methods, the fiber length, the thickness and permeability of the magnetic fiber coatings, and the magnetic flux density. The novelty of the presented works is in the development of an advanced simulation model that allows the simulative representation and reveal of the fluid–structure interaction, the influences of these parameters on the inducible magnetic torque and fiber alignment of a single fiber. Accordingly, the greatest influence on fiber alignment is caused by the magnetic flux density and the coating material.

26 November 2023 in Sensors
Verified
Journal Article
Open access
PDF file
MHMartin Helwig
Martin Helwig
YUN XUYUN XU
YUN XU
UHUwe Hentschel
Uwe Hentschel
AWAnja Winkler
Anja Winkler
NMNiels Modler
Niels Modler
Foreign object detection (FOD) is considered a key method for detecting objects in the air gap of a wireless charging system that could pose a risk due to strong inductive heating. This paper describes a novel method for the detection of metallic objects utilizing the principle of electric time domain reflectometry. Through an analytical, numerical and experimental investigation, two key parameters for the design of transmission lines are identified and investigated with respect to the specific constraints of inductive power transfer. For this purpose, a transient electromagnetic simulation model is established to obtain and compare the sensor impedance and reflection coefficients with experimental data. The measurement setup is based on parametrically designed sensors in laboratory scale, using an EUR 2 coin as an exemplary test object. Consequently, the proposed simulation model has been successfully validated in this study, providing a comprehensive quantitative and qualitative analysis of the major transmission line design parameters for such applications.

6 October 2026 in Polymer Testing
Verified
Journal Article
Open access
YUN XUYUN XU
YUN XU
AWAnja Winkler
Anja Winkler
Janez SlapnikJanez Slapnik
Janez Slapnik
JBJulius Boettcher
Julius Boettcher
SZShengqiang Zhou
Shengqiang Zhou
NMNiels Modler
Niels Modler