Andreas Wirtz

Dr. Andreas Wirtz

Institute of Machining Technology, TU Dortmund University
orcid

Research Focus & Metrics

Academic Career Length

10Years (2017-Present)

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

Representative Publications

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14 May 2019 in The International Journal of Advanced Manufacturing Technology
Verified
Journal Article
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TDTim Delbrügger
Tim Delbrügger
MMMatthias Meißner
Matthias Meißner
AWAndreas Wirtz
Andreas Wirtz
DBDirk Biermann
Dirk Biermann
JMJohanna Myrzik
Johanna Myrzik
PWPetra Wiederkehr
Petra Wiederkehr

1 January 2018 in Procedia CIRP
Verified
Journal Article
Open access
AWAndreas Wirtz
Andreas Wirtz
MMMatthias Meiner
Matthias Meiner
PWPetra Wiederkehr
Petra Wiederkehr
JMJohanna Myrzik
Johanna Myrzik

JBJonas Baumann
Jonas Baumann
AWAndreas Wirtz
Andreas Wirtz
TSTobias Siebrecht
Tobias Siebrecht
DBDirk Biermann
Dirk Biermann
Milling processes are often limited by self-excited vibrations of the tool or workpiece, generated by the regenerative effect, especially when using long cantilevered tools or machining thin-walled workpieces. The regenerative effect arises from a periodic modulation of the uncut chip thickness within the frequencies of the eigenmodes, which results in a critical excitation in the consecutive cuts or tooth engagements. This paper presents a new approach for disturbing the regenerative effect by using milling tools which are modified with asymmetric dynamic properties. A four-fluted milling tool was modified with parallel slots in the tool shank in order to establish asymmetric dynamic characteristics or different eigenfrequencies for consecutive tooth engagements, respectively. Measurements of the frequency response functions at the tool tip showed a decrease in the eigenfrequencies as well as an increase in the dynamic compliance in the direction of the grooves. Milling experiments with a constant width of cut and constantly increasing axial depth of cut indicated a significant increase in the stability limit for the specific preparations of up to 69%.

1 January 2019 in Procedia CIRP
Verified
Journal Article
Open access
AWAndreas Wirtz
Andreas Wirtz
MMMatthias Meißner
Matthias Meißner
PWPetra Wiederkehr
Petra Wiederkehr
DBDirk Biermann
Dirk Biermann
JMJohanna Myrzik
Johanna Myrzik

Verified
Journal Article
Open access
PDF file
FFFelix Finkeldey
Felix Finkeldey
AWAndreas Wirtz
Andreas Wirtz
TMTorben Merhofe
Torben Merhofe
PWPetra Wiederkehr
Petra Wiederkehr
The constantly increasing demand for both, higher production output and more complex product geometries, which can only be achieved using five-axis milling processes, requires elaborated analysis approaches to optimize the regarded process. This is especially necessary when the used tool is susceptible to vibrations, which can deteriorate the quality of the machined workpiece surface. The prediction of tool vibrations based on the used NC path and process configuration can be achieved by, e.g., applying geometric physically-based process simulation systems prior to the machining process. However, recent research showed that the dynamic behavior of the system, consisting of the machine tool, the spindle, and the milling tool, can change significantly when using different inclination angles to realize certain machined workpiece shapes. Intermediate dynamic properties have to be interpolated based on measurements due to the impracticality of measuring the frequency response functions for each position and inclination angle that are used along the NC path. This paper presents a learning-based approach to predict the frequency response function for a given pose of the tool center point.

1 August 2017 in Zeitschrift für wirtschaftlichen Fabrikbetrieb
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Journal Article
Closed access
TDTim Delbrügger
Tim Delbrügger
FDFrederik Döbbeler
Frederik Döbbeler
JGJulian Graefenstein
Julian Graefenstein
HLHendrik Lager
Hendrik Lager
LLLisa T. Lenz
Lisa T. Lenz
FZFelix Zeidler
Felix Zeidler
Unternehmen sehen sich mit einem zunehmend turbulenteren Umfeld konfrontiert. Diese Anforderung bedingt eine permanente Bereitschaft zur effizienten Fabrikanpassung. Dieser Beitrag stellt auf Basis systemimmanenter Flexibilitätskorridore und vorgehaltener Wandlungsfähigkeit das Leitbild des Graduiertenkollegs 2193 für eine anpassungsintelligente Fabrik vor. Dieses beruht auf den Befähigern Anpassungsprozess, Anpassungsobjekt und Anpassungsteam und verfolgt einen betont interdisziplinären Forschungsansatz mit dem Ziel einer holistischen Anpassungsplanung.*)