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Abstrakty
Waviness is a parameter used to complete information on the machined surface state. There is little scientific and technical information on the influence exerted by the cutting conditions and the workpiece material hardness on the values of some parameters that define the waviness of milled surface. No works have been identified to present such information for dry high-speed face milling applied to hard steel workpieces. A factorial experiment with four independent variables at three variation levels was planned to model the influence of milling speed, feed, cutting depth, and steel hardness on the total heights of the profile and surface waviness for dry high-speed face milling. Mathematical processing of experimental results was used to identify the power type function and empirical mathematical models. These models highlight the direction of variation and the intensity of influence exerted by the considered input factors on the values of two waviness parameters in the case of dry high-speed face milling of samples made of four hard steels. It has been observed that the increase in steel hardness increases the total heights of the profile and surface waviness. In the case of two types of steel, a good correlation was identified between the values of the total profile waviness height and the total surface waviness height, respectively, using the Pearson correlation coefficient.
Czasopismo
Rocznik
Tom
Strony
735--749
Opis fizyczny
Bibliogr. 27 poz., rys., tab., wykr., wzory
Twórcy
autor
- Ştefan cel Mare University of Suceava, Department of Mechanics and Technology, Universităţii Street, 13, 720229 Suceava, Romania
autor
- Gheorghe Asachi Technical University of Iaşi, Department of Machine Manufacturing Technology, D. Mangeron Blvd, 59A, 700050 Iaşi, Romania
autor
- Gheorghe Asachi Technical University of Iaşi, Department of Machine Manufacturing Technology, D. Mangeron Blvd, 59A, 700050 Iaşi, Romania
Bibliografia
- [1] Vakondios, D., Kyratsis, P., Yaldiz, S., & Antoniadis, A. (2012). Influence of milling strategy on the surface roughness in ball end milling of the aluminum alloy Al7075-T6. Measurement, 45(6), 1480-1488. https://doi.org/10.1016/j.measurement.2012.03.001
- [2] Raja, J., Muralikrishnan, B., Fu, S., & Liu, X., (2002). Recent advances in separation of roughness, waviness and form. Precision Engineering, 26(2), 222-235. https://doi.org/10.1016/S0141-6359(02)00103-4
- [3] Clarysse, F., & Vermeulen, M. (2004). Characterizing the surface waviness of steel sheet: reducing the assessment length by robust filtering. Wear, 257(12), 1219-1225. https://doi.org/10.1016/j.wear.2004.04.006
- [4] Mezghani, S., & Zahouani, H. (2004). Characterization of the 3D waviness and roughness motifs. Wear, 257(12), 1250-1256. https://doi.org/10.1016/j.wear.2004.04.006
- [5] Lingadurai, K., & Shunmugam, M. S. (2006). Metrological characteristics of wavelet filter used for engineering surfaces. Measurement, 39(7) 575-584. https://doi.org/10.1016/j.measurement.2006.02.003
- [6] Gogolewski, D., & Makiela, W. (2018). Application of wavelet transform to determine Surface texture constituents. In Durakbasa, N. M., Gencyilmaz, M. G. (Eds.). Proceedings of the International Symposium for Production Research 2018, (pp. 224-231). Springer. https://doi.org/10.1007/978-3-319-92267-6_19
- [7] Gogolewski, D. (2020). Influence of the edge effect on the wavelet analysis process. Measurement, 152, 107314. https://doi.org/10.1016/j.measurement.2019.107314
- [8] Toteva, P., & Koleva, K. (2019). Application of new generation geometrical product specifications in the practice in small and medium sized enterprises. MTeM 2019. MATEC Web of Conferences, 299, 04006. https://doi.org/10.1051/matecconf/201929904006
- [9] Boryczko, A. (2010). Distribution of roughness and waviness components of turned surface profiles. Metrology and Measurement Systems, 17(4), 611-620. https://doi.org/10.2478/v10178-010-0050-4
- [10] Boryczko, A. (2011). Profile irregularities of turned surfaces as a result of machine tool interactions. Metrology and Measurement Systems, 18(4) 691-700. https://doi.org/10.2478/v10178-011-0065-5
- [11] Boryczko, A. (2013). Effect of waviness and roughness components on transverse profiles of turned surfaces. Measurement, 46(1), 688-696. https://doi.org/10.1016/j.measurement.2012.09.007
- [12] Wieczorowski, M., Cellary, A., & Majchrowski, R. (2010). The analysis of credibility and reproducibility of surface roughness measurement results. Wear, 269(5-6), 480-484. https://doi.org/10.1016/j.wear.2010.05.003
- [13] Jiang, L., Yahya, E., Ding, G., Hu, M., & Qin, S. (2013). The research of surface waviness control method for 5-axis flank milling. International Journal of Advanced Manufacturing Technology, 69, 835-847. https://doi.org/10.1007/s00170-013-5041-7
- [14] Cai, C., Liang, X., An, Q., Tao, Z., Ming, W., & Ming Chen, M. (2021). Cooling/lubrication performance of dry and supercritical CO2-based minimum quantity lubrication in peripheral milling Ti-6Al-4V. International Journal of Precision Engineering and Manufacturing - Green Technology, 8(5), 405-421. https://doi.org/10.1007/s40684-020-00194-7
- [15] Gusev, V. G., & Fomin, A. A. (2017). Multidimensional model of surface waviness treated by shaping cutter. Procedia Engineering, 206, 286-292. https://doi.org/10.1016/j.proeng.2017.10.475
- [16] Nimel Sworna Ross, K., & Manimaran, G. (2019). Effect of cryogenic coolant on machinability of difficult to machine Ni-Cr alloy using PVD TiAlN coated WC tool. Journal of the Brazilian Society of Mechanical Sciences and Engineering, 41, 44. https://doi.org/10.1007/s40430-018-1552-3
- [17] Chen, B., Li, S., Deng, Z., Guo, B., & Zhao, Q. (2017). Grinding marks on ultra-precision grinding spherical and aspheric surfaces. International Journal of Precision Engineering and Manufacturing - Green Technology, 4, 419-429. https://doi.org/10.1007/s40684-017-0047-5
- [18] Yan, G., You, K., & Fang, F. (2020). Three-linear-axis grinding of small aperture aspheric surfaces. International Journal of Precision Engineering and Manufacturing - Green Technology, 7, 997-1008. https://doi.org/10.1007/s40684-019-00103-7
- [19] Legutko, S., Kluk, P., & Stoić, A. (2011). Research of the surface roughness created during pull broaching process. Metalurgija-Sisak then Zagreb, 50(4), 245-248.
- [20] International Organization for Standardization. (1996). Geometrical Product Specifications (GPS) - Surface texture: Profile method - Motif parameters (ISO 12085:1996(en)). https://www.iso.org/obp/ui/#iso:std:iso:12085:ed-1:v1:en
- [21] Stephenson, D. A, & Agapiou, J. S. (2016). Metal Cutting Theory and Practice. Third edition. CRC Press. https://doi.org/10.1201/978131537311
- [22] Beşliu, I. (2013). Contributions to the study of the high-speed milling process of some hard materials [Doctoral dissertation, Gheorghe Asachi Technical University]. (in Romanian)
- [23] Pawlus, P., Reizer, R., Wieczorowski, M., & Krolczyk, G. (2020). Material ratio curve as information on the state of surface topography - A review. Precision Engineering, 65, 240-258. https://doi.org/10.1016/j.precisioneng.2020.05.008
- [24] Miller, T., Adamczak, S., Świderski, J., Wieczorowski, M., Łętocha, A., & Gapiński, B. (2017). Influence of temperature gradient on surface texture measurements with the use of profilometry. Bulletin of the Polish Academy of Sciences. Technical Sciences, 65(1), 53-61. https://doi.org/10.1515/bpasts-2017-0007
- [25] Grochalski, K., Wieczorowski, M., Pawlus, P., & H’Roura, J. (2020). Thermal sources of errors in surface texture imaging. Materials, 13(10), 2337. https://doi.org/10.3390/ma13102337
- [26] Klocke, F. (2011). Manufacturing processes 1. Cutting. Springer-Verlag. https://www.springer.com/gp/book/9783642119781
- [27] Petruhi, P. G. (1974). Cutting the construction materials, cutting tools and machine tools. Mashinostroenie. (in Russian) https://www.studmed.ru/petruha-pg-rezanie-konstrukcionnyh-materialov-rezhuschie-instrumenty-i-stanki_f9704450c66.html
Uwagi
Opracowanie rekordu ze środków MNiSW, umowa Nr 461252 w ramach programu "Społeczna odpowiedzialność nauki" - moduł: Popularyzacja nauki i promocja sportu (2021).
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-3f68f8c1-6b60-4b6b-99fb-71edeef0de6c