ASSESSMENT OF THE ROOT MEAN SQUARE DEVIATION ON SURFACES MACHINED BY HIGH-FEED TANGENTIAL TURNING

Authors

DOI:

https://doi.org/10.20998/2078-7405.2024.101.06

Keywords:

design of experiments, mean spacing of profile, root mean square deviation, root mean square slope, surface roughness, tangential turning

Abstract

Recent advancements in machining focus on precision, efficiency, and handling harder materials, driven by sectors like aerospace and automotive. Hard machining, or processing materials over 45 HRC, presents challenges such as rapid tool wear, intense heat, and maintaining dimensional accuracy. Innovations in cutting tool materials and CNC technology have improved these processes, but tool degradation and high forces still complicate machining hardened materials. Surface roughness is a key quality metric, impacting performance factors like wear resistance and fatigue life. By optimizing cutting parameters, manufacturers aim to achieve consistent surface finishes, essential for durability in demanding applications. In this paper, the effect of the input parameters (depth of cut, feed, and cutting speed) are analysed on selected surface roughness parameters. The setup parameters were selected according to the full factorial design of experiment method. The results showed that higher feed rates resulted in rougher finishes, leading to greater spacing between profile elements and steeper surface profiles in the studied range.

 

Author Biographies

Sztankovics István, University of Miskolc, Hungary

Associate Professor, Deputy Director of the Institute of Manufacturing Science, University of Miskolc, Department of Production Engineering, Miskolc - Egyetemváros, Hungary. He graduated from the Faculty of Mechanical Engineering and Information Technology of the University of Miskolc with a bachelor's degree in mechanical engineering (January 2009) and a master's degree (January 2011). Assistant Professor from September 2013, Adjunct Professor from July 2022 at the Institute of Manufacturing Engineering. Deputy Director of the Institute from September 2022. Associate Professor since September 2023. Fields of expertise: machine technology, machining theory, assembly, tool and equipment design.

Pásztor István, University of Miskolc, Hungary

Department Engineer, University of Miskolc, Department of Production Engineering, Miskolc - Egyetemváros, Hungary. He graduated from the Faculty of Mechanical Engineering and Information Technology of the University of Miskolc in 2004. Between 2004-2008 he worked as an NC technologist at Fa-Fém Technika Kft. and between 2008-2011 at Toolstyle Kft. Over the years, he has gained a lot of experience in CNC machining, which he uses in departmental projects and R&D activities. His areas of expertise are CNC machining, CAD/CAM systems.

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Published

2024-12-07

Issue

No. 101 (2024): Cutting and Tools in Technological Systems

Section

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

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