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P24 / scientific study / accepted

Backhoe Teeth Wear Prediction with DEM

Discrete-element simulation applied to the industrial problem of predicting wear in earthmoving components.

2025Collaborative engineering research
COMPUTATIONAL VALIDATION LOOPBackhoe Teeth Wear Prediction with DEM
01PHYSICAL QUESTIONrequirements / mechanisms / scales
02MODELRVE / RNM / DEM / FEM / FEA
03SOLVECST / HFSS / COMSOL / ANSYS / Abaqus
04VALIDATERF / mechanical / electrical experiments
05REFINEPython / MATLAB / sensitivity analysis
06ENGINEERprototype / instrument / deployment

Models are tested against experiments and returned to engineering decisions.

01

Problem or Industrial Need

Earthmoving components experience wear that affects maintenance, replacement planning and operating cost.

02

Engineering or Scientific Solution

A discrete-element simulation approach for predicting backhoe-teeth wear under representative interaction conditions.

03

Sebastian's Technical Contribution

Contributed to the modelling research and publication connecting computational mechanics with industrial wear assessment.

04

Methods and Tools Used

  • Discrete-element modelling
  • Contact and material-interaction simulation
  • Wear-oriented engineering analysis
  • Research validation and publication
05

Prototype, Simulation and Experimental Evidence

publication

Engineering research paper

Accepted for publication in 2025.

06

Measurable Result or Published Finding

Industrial predictive method

The work established a simulation route for component-wear assessment.

07

Diagrams and Publications

COMPUTATIONAL VALIDATION LOOPBackhoe Teeth Wear Prediction with DEM
01PHYSICAL QUESTIONrequirements / mechanisms / scales
02MODELRVE / RNM / DEM / FEM / FEA
03SOLVECST / HFSS / COMSOL / ANSYS / Abaqus
04VALIDATERF / mechanical / electrical experiments
05REFINEPython / MATLAB / sensitivity analysis
06ENGINEERprototype / instrument / deployment

Models are tested against experiments and returned to engineering decisions.

08

Role, Team Attribution, Institution and Project Context

Research contributor and co-author within a collaborative engineering study.

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