Master thesis: Determination of milling operation level CO2 footprint and energy efficient process planning in CAM

Sandvik business area segment Manufacturing Solutions offers a thesis project position within the area of Computer Aided Manufacturing (CAM) and CO2 footprint of machining operations. The project is provided in collaboration with KTH (Royal Institute of Technology), Stockholm, Sweden.

Energy efficient process planning and the effect of various process planning choices on the CO2 footprint of machining operations are gaining importance within the industry under new global constraints. Sandvik and KTH together research ways of improving the user experience of Computer Aided Manufacturing (CAM) programmers and the general functionalities of CAM environments. The goal is to enable better process planning, improve decision-making, and increase resource utilization.

Background and scope of the project

This master thesis project aims to investigate the effect of individual factors (machine, tooling choice, tool path parameters) on the process planning efficiency from a CO2 footprint perspective. It is planned that the student can use both mathematical modeling and instrumentation-based approaches to investigate the 2.5-axis milling process planning (mainly on low-carbon or low-alloy steel).

The student is expected to contribute to the existing analysis and optimization approaches by contributing more to instrumentation-enabled analysis techniques (current sensors attached to the machine and controller collected power consumption information) and tying this information to individual operations planned in CAM software. The CO2 footprint will be calculated based on the existing LCA databases.

Work description

The goal of this master thesis project is to develop a prototype that can aid the machining process planners with extended analysis capability of their choices from a CO2 footprint perspective besides the existing productivity and tool life-based optimization techniques. It is intended to amalgamate the existing modeling techniques with the machine-collected data to augment the CAM process planner.

The tasks can be summarized as:

  • Literature review on the existing state of the targeted area
  • Conducting machining tests to get power consumption data out of the machine tool
  • Researching methods to model the CO2 footprint of machining in the project context
  • Documentation and dissemination

The cutting tools and raw materials will be supplied to the student for the tests. There will also be flexibility to purchase the necessary current measurement sensors.

The project is provided by Sandvik in collaboration with KTH (Department of Production Engineering). The majority of the experimental work will be carried out at KTH, Stockholm.

Student background

The ideal candidate student should be familiar with and interested in machining and have a good background in solid mechanics, CAD/CAM software use, MATLAB, basic instrumentation, and signal processing. It would be a plus if the student is familiar with Python, C++, and API use.

At Sandvik, we believe that diversity of experience, perspective, and background leads to a better environment for our employees, business, and customers. Now, we’re looking forward to meeting you!


The thesis project lasts 20 weeks. The location is Stockholm, Sweden.

This master thesis work can start on very short notice, so please don’t hesitate to send your application!

Application and contact

For more information about this thesis project or to apply, please contact:

Contact at KTH: Theodoros Laspas

Contact at Sandvik: Coskun Islam

The selection is done continuously. Please send us your application to the contact persons above as soon as possible, but no later than January 15, 2023

Read more about the business area segment Sandvik Manufacturing Solutions