Manufacturing Technology 2022, 22(6):679-692 | DOI: 10.21062/mft.2022.083
Evaluation of the Effect of Machining Technologies on the Surface Texture Analysis of Ertacetal C Polymer
- 1 Tomas Bata University in Zlín, Faculty of Management and Economics, Department of Industrial Engineering and Information Systems, Mostní 5139, Zlín 760 01, Czech Republic
- 2 University of Defence, Faculty of Military Technology, Department of Mechanical Engineering, Kounicova 65, Brno 602 00, Czech Republic
- 3 Kapitána Jaroše 713/97, Svitavy 568 02, Czech Republic
The surface created by machining significantly affects the service life and functional reliability of the component. As part of this study, four different chip machining technologies were evaluated on the surface texture of the polymer material Ertacetal C. The samples were processed by turning, milling, grinding and polishing technologies, 5 samples for each technology. Within the given technology, different cutting conditions were chosen to compare the effect of cutting conditions on the resulting surface roughness. The machined surfaces were comprehensively evaluated on the basis of 16 profile and surface roughness parameters due to the practical use of the tested material. Surface texture measurements were performed on a Talysurf CCI Lite device. A non-contact method using a coher-ence correlation interferometer was used for the measurement. The obtained data were evaluated using TalyMap Platinum software. Graphical documentation of the machined surfaces was made using an Olympus DSX500 opto-digital metallographic microscope.
Keywords: Machining, Technical Plastics, Polymers, Surface Texture, Surface Roughness, Profile Parameters, Area Parameters
Grants and funding:
This work was supported by the specific research project 2020 "SV20-216" at the Department of Mechanical Engineering, University of Defence in Brno, by the Project for the Development of the Organization "DZRO VAROPS" and also by the project VaV-IP-RO/2022/01 at the Tomas Bata University in Zlín.
Received: September 25, 2022; Revised: December 10, 2022; Accepted: December 10, 2022; Prepublished online: December 10, 2022; Published: January 6, 2023 Show citation
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