Feedback

Faculté des Sciences appliquées
Faculté des Sciences appliquées
MASTER THESIS

Topology Optimization of Fixture Clamping Locations for Machining Processes Integration internship

Download
Adler, Joé ULiège
Promotor(s) : Salles, Loïc ULiège
Date of defense : 30-Jun-2025/1-Jul-2025 • Permalink : http://hdl.handle.net/2268.2/23334
Details
Title : Topology Optimization of Fixture Clamping Locations for Machining Processes Integration internship
Translated title : [fr] Optimisation topologique des emplacements de serrage des montages pour les procédés d'usinage
Author : Adler, Joé ULiège
Date of defense  : 30-Jun-2025/1-Jul-2025
Advisor(s) : Salles, Loïc ULiège
Committee's member(s) : Bruyneel, Michaël ULiège
Duysinx, Pierre ULiège
Language : English
Number of pages : 112
Keywords : [en] fixture clamping optimization
[en] method of moving asymptotes (MMA)
[en] topology optimization
[en] Guyan-Irons reduction
[en] python programming
Discipline(s) : Engineering, computing & technology > Aerospace & aeronautics engineering
Engineering, computing & technology > Mechanical engineering
Engineering, computing & technology > Multidisciplinary, general & others
Physical, chemical, mathematical & earth Sciences > Mathematics
Target public : Professionals of domain
Student
Other
Complementary URL : https://github.com/JoeAdler/Topology-optimization-of-clamping-locations
Institution(s) : Université de Liège, Liège, Belgique
Degree: Master en ingénieur civil en aérospatiale, à finalité spécialisée en "aerospace engineering"
Faculty: Master thesis of the Faculté des Sciences appliquées

Abstract

[en] This work addresses the optimization of fixture clamping locations to minimize workpiece de- formation under prescribed external machining forces. The approach employs finite element analysis (FEA), introducing bar elements on the exterior surface of a 3D tetrahedral workpiece mesh. The design variables are the densities of these bar elements, formulated using the SIMP homogenization method. A linear static analysis is used to evaluate the objective function. The algorithm, implemented in Python, includes finite element assembly and sensitivity analysis. Optimization is performed using a prewritten Python module that implements the Method of Moving Asymptotes (MMA). To improve computational efficiency, the Guyan-Irons method is successfully applied, reducing the system by keeping only relevant degrees of freedom (DOFs), thus significantly reducing computation time. The framework is demonstrated on two test cases: a simple academic example involving a cylindrical workpiece under point loading, and a more realistic turbine impeller subjected to a machining tool path. The effect of physical and numerical parameters on the optimal solution is investigated to reduce intermediate density values. Since tetrahedral elements are not ideal for high-accuracy simulations, this work is intended as a proof of concept.


File(s)

Document(s)

File
Access Adler_Thesis.pdf
Description: TFE
Size: 15.72 MB
Format: Adobe PDF

Annexe(s)

File
Access Adler_Appendix.pdf
Description: Annexe
Size: 5.77 MB
Format: Adobe PDF

Author

  • Adler, Joé ULiège Université de Liège > Master ing. civ. aéro., fin. spéc. aer. eng.

Promotor(s)

Committee's member(s)

  • Bruyneel, Michaël ULiège Université de Liège - ULiège > Département d'aérospatiale et mécanique > Modél. num. du comport. des struct. en matériaux composites
    ORBi View his publications on ORBi
  • Duysinx, Pierre ULiège Université de Liège - ULiège > Département d'aérospatiale et mécanique > Vice-Recteur à la mobilité et à l'international
    ORBi View his publications on ORBi








All documents available on MatheO are protected by copyright and subject to the usual rules for fair use.
The University of Liège does not guarantee the scientific quality of these students' works or the accuracy of all the information they contain.