Master Thesis

Company description

Epiroc is a leading productivity partner for the mining, infrastructure and natural resources industries. Withcutting-edge technology, Epiroc develops and produces innovative drill rigs, rock excavation and constructionequipment, and provides world-class service and consumables. The company was founded in Stockholm,Sweden, and has passionate people supporting and collaborating with customers in more than 150 countries.Learn more at www.epirocgroup.com.

Job description

Master Thesis spring 2027, Co-Simulation of Hydraulic Rock Drill Systems Using Hopsan and ANSYS Fluent

Want to accelerate the transformation towards a more sustainable future? At Epiroc, your thesis is more than an academic project. It's an opportunity to contribute to innovations that help make mining and construction safer, more productive, and more sustainable.

Working alongside experienced colleagues, you'll be part of a collaborative and inclusive environment where ideas are encouraged, and learning never stops. This is your chance to turn knowledge into impact while growing both professionally and personally.

Education background

• Mechanical Engineering, Engineering Physics, Applied Mechanics, Fluid
• Mechanics, Mechatronics or similar.

Level of thesis project

Master Thesis

Number of students in the project

Two students

Target

• The aim of this thesis project is to develop and evaluate a co-simulation framework that combines
• system-level simulations in Hopsan with detailed Computational Fluid Dynamics (CFD) simulations in

ANSYS Fluent. The framework should enable improved modelling of hydraulic components and

transient system behavior in hydraulic rock drills while keeping computational cost at a manageable

level.

Background

Simulation plays an important role in the development of hydraulic rock drills and drilling equipment.

Today, different simulation tools are used to study different aspects of product performance. System

simulation tools are used to model complete machines and hydraulic systems, while CFD tools are

used to investigate detailed flow phenomena inside individual components.

Both approaches have strengths and limitations. System simulation models can efficiently represent

complete machines but rely on simplified component descriptions. CFD models capture local flow

behavior in much greater detail but are computationally expensive and therefore difficult to apply at

the full machine level.

Recent developments in co-simulation technology make it possible to connect different simulation