The main aim of this thesis is to explore machining strategies, analyzing energy consumption using Design of Experiments (DOE) at the material removal rate (MRR), compare to cutting geometrical trajectories according to CNC parameters such as spindle RPM, feed rate, depth of cut per pass and total depth of cut. Spindle RPM, depth of cut per pass, and feed rate are selected as the main three factors and each factor has two levels: low-level (-) and high-level (+). These experiments have been performed at an end-milling machine by using a concept of a constant volume of material removal processes in the circular and linear geometrical slots in pine wood blocks. Standard energy logger equipment has used to measure energy consumption during end-milling operation. Different statistical analysis, such as ANOVA, regression line, and cause & effect diagram have used to show different energy consumption results in the material removal process. At the end the of data analysis, it is found that a significant amount of electricity demand is associated with machining pre-cutting & post-cutting stage and this significant amount of electricity demand is defined as peripheral energy. This peripheral energy is not involved in the actual performance of material removal process in the end-milling process. In the [Figure 11] end-milling process has been involved with pine wood blocks at constant volume of material removal (2.8 cubic inch) process. Results can be varied using of hard material removal process, such as steel & aluminum metals.


David Guerra Zubiaga

Committee Member

Craig Evers

Committee Member

Harry Petersen

Date of Degree




Document Type



Master of Science (MS)


Automotive and Manufacturing Engineering Technology


Science, Engineering and Technology

Creative Commons License

Creative Commons Attribution-Noncommercial 4.0 License
This work is licensed under a Creative Commons Attribution-Noncommercial 4.0 License