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Albin Wessling
Albin Wessling

Albin Wessling

PhD Student
Luleå University of Technology
Solid Mechanics
Solid Mechanics
Department of Engineering Sciences and Mathematics
albin.wessling@ltu.se
+46 (0)920 493406
E865 Luleå

Numerical modelling of hard rock drilling

 

Drilling in hard rock is a large economical expense in several applications, such as geothermal, oil and mining industries. A predominant cost factor in rock drilling is the drill bit wear. This cost is not only due to the direct material and personel cost assocaited with replacing broken parts, but also due to the loss in efficiency when drilling with a worn out bit. My research concerns numerical modelling of rock drilling with the aim of optimizing the process and reducing wear. This involves, for example, the numerical modelling of rock fracture, drill bit wear and fluid tranpsport of rock cuttings within the borehole. 

The main numerical methods I work with are the Discrete Element Method (DEM), the Finite Element Method (FEM) and the Particle-Finite Element Method (PFEM). For the dynamic experimental characterization of rock materials I work with the Split-Hopkinson Pressure Bar (SHPB) in conjunction with high-speed photograpy and Digital Image Correlation (DIC).

Project

GEOFIT: Numerical modelling of rock drilling for geothermal applications.

OptiRock: A pre-study for a full-scale projekt for drilling and subsequental loading of rock materials for Aitik Boliden.

Supervisors

Main supervisor: Jörgen Kajberg
Assistant supervisor: Pär jonsén
Assistant supervisor: Simon Larsson

Publications

Licentiate thesis, comprehensive summary

Towards Discrete Element Modelling of Rock Drilling (2021)

Wessling. A
Conference paper

Towards the Discrete Element Modeling of Rock Drilling (2019)

Wessling. A, Jonsén. P, Kajberg. J
Paper presented at : Svenska mekanikdagar 2019, 11-12 juni, 2019, Stockholm, Sverige
Conference paper

Towards the Discrete Element Modeling of Wear in Rock Drilling Bits (2019)

Wessling. A, Kajberg. J, Jonsén. P
Paper presented at : VI International Conference on Particle-based Methods, Fundamentals and Applications (PARTICLES 2019), 28-30 October, 2019, Barcelona, Spain
Manuscript (preprint)

A statistical DEM approach for modelling heterogeneous brittle materials

Wessling. A, Larsson. S, Jonsén. P, Kajberg. J