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@PHDTHESIS{Lhrer:1022437,
author = {Löhrer, Patricia Helena de Oliveira},
othercontributors = {Bergs, Thomas and Rego, Ronnie Rodrigo},
title = {{I}nfluence of material removal mechanisms on
thermo-mechanical loads in continuous generating gear
grinding; 1. {A}uflage},
volume = {2025,19},
school = {Rheinisch-Westfälische Technische Hochschule Aachen},
type = {Dissertation},
address = {Aachen},
publisher = {Apprimus Verlag},
reportid = {RWTH-2025-10024},
isbn = {978-3-9855530-9-9},
series = {Ergebnisse aus der Produktionstechnik},
pages = {1 Online-Ressource : Illustrationen},
year = {2025},
note = {Druckausgabe: 2025. - Auch veröffentlicht auf dem
Publikationsserver der RWTH Aachen University. - Weitere
Reihe: Technologie der Fertigungsverfahren. - Weitere Reihe:
Edition Wissenschaft Apprimus; Dissertation,
Rheinisch-Westfälische Technische Hochschule Aachen, 2025},
abstract = {Continuous generating grinding is a precision finishing
process used at the final stage of gear manufacturing to
meet stringent requirements for dimensional accuracy and
surface integrity. To prevent undesirable alterations in
surface integrity caused by thermal effects during grinding,
it is essential to understand and control the heat flux
entering the workpiece. Predictive models can aid in this by
providing insights into heat flux behavior during the
grinding process. However, most existing models only
partially account for the characteristics of the grinding
worm and other factors that influence grain engagement. When
these factors are considered, it is often done in a highly
empirical way. This work presents a methodology for
calculating thermo-mechanical loads in generating gear
grinding, taking into account the specific characteristics
of the grinding worm and the factors affecting grain
engagement. The methodology begins with a grain grinding
energy model that considers the chip formation mechanisms
according to the kinematics of the generating gear grinding
process. Understanding the energy generated by individual
grains during material removal formed the foundation for
subsequent calculations of thermo-mechanical loads in the
generating gear grinding process. The next step involved
adapting the single-grain grinding energy model to account
for multiple-grain engagements in the generating gear
grinding process. This adaptation required calculating the
micro-interaction characteristics based on the kinematics
and specific conditions of generating gear grinding through
process simulation. Grinding energy was then calculated and
verified through analogy trials, which were designed to
simplify force measurements at specific contact points
during the process. Using the validated grinding energy
model, thermal loads were calculated based on multiple-grain
engagement, incorporating a new method for defining the heat
partition coefficient, εf, based on the previously
calculated grinding energy. This heat flux calculation was
subsequently applied to predict the maximum temperature in
the grinding contact zone. The maximum temperature
calculation utilized the model of Demetriou and Lavine
(DEME00). Temperature measurements from analogy trials were
used to validate the heat flux and temperature calculation
models. In conclusion, the thermo-mechanical load models
developed in this work, which are based on the
micro-interaction characteristics of generating gear
grinding, were successfully tested and verified. The model
effectively identified critical levels of thermal energy
under varying process parameters, offering a reliable tool
that con-siders characteristics of the grinding worm as well
as factors influencing grain engagement in a non-empirical
manner.},
cin = {417410 / 417400},
ddc = {620},
cid = {$I:(DE-82)417410_20140620$ / $I:(DE-82)417400_20240301$},
pnm = {WS-B1.III-neu - Drive Chain (X080067-WS-B1.III-neu) / EXC
2023: Internet of Production (IoP)},
pid = {G:(DE-82)X080067-WS-B1.III-neu / G:(GEPRIS)390621612},
typ = {PUB:(DE-HGF)11 / PUB:(DE-HGF)3},
doi = {10.18154/RWTH-2025-10024},
url = {https://publications.rwth-aachen.de/record/1022437},
}