• Abdul W. Mgherony Óbuda University, Budapest, Hungary
  • Balázs Mikó Óbuda University, Budapest, Hungary
  • Ágota Drégelyi-Kiss Óbuda University, Budapest, Hungary



full factorial design, fractional factorial design, Taguchi method, response surface methodology, milling technology.


Design of experiment (DOE) is a systematic method used to determine the relationships between independent factors and dependent variables. This information can be used either to get deep knowledge of the existing problems or to explore new processes. The DOE is important because it can give more details about the processes with the minimum usage of resources, materials and time. In this paper, four methods of design of experiment and their applications in the field of milling machines (full factorial, fractional factorial, Taguchi method and response surface methodology) are argued. The aim of this paper is to give a comprehensive overview and classification of the use of these methods and present the current trends in investigation of milling technology.

Author Biographies

Abdul W. Mgherony, Óbuda University, Budapest

PhD student, Óbuda University, Budapest, Bánki Donát Faculty of Mechanical and Safety Engineering Institute of Material and Manufacturing Science Department of Manufacturing Engineering, Hungary

Balázs Mikó, Óbuda University, Budapest

Associate Professor, Óbuda University, Budapest, Bánki Donát Faculty of Mechanical and Safety Engineering Institute of Material and Manufacturing Science Department of Manufacturing Engineering, Hungary

Ágota Drégelyi-Kiss, Óbuda University, Budapest

PhD, Assiciate professor, Óbuda University, Budapest, Bánki Donát Faculty of Mechanical and Safety Engineering Institute of Material and Manufacturing Science Department of Manufacturing Engineering, Hungary


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Mechanical processing of materials, the theory of cutting materials, mathematical and computer simulation of machining p