OBRABOTKA METALLOV

Introduction. The technology of investigation of screw propellers complex surfaces, which include the marine and aircraft propellers of vehicles, mechatronic profilers for the implementation of reverse engineering, is considered. A review of the scientific literature shows that at present the problem of monitoring complex surfaces of products at various stages of its life cycle requires further research, since the use of available devices and methods does not always provide the necessary accuracy, technological effectiveness and sufficient information on measurements. The purpose of the work is to develop a new technology for studying complex surfaces of propellers, which include marine and aircraft propellers of vehicles by means of a mechatronic profilograph to implement reverse engineering. Methods. The paper considers the implementation of the innovative technology for studying complex surfaces of propellers using the developed mechatronic profilograph. This ingenious mechatronic profilograph is designed to measure the profile and study the shape of complex surfaces of various products, as well as to determine the geometric and morphological parameters of these surfaces. On the basis of theoretical studies the main design and technological parameters are found and the hyperbolic dependence of the angular rate of the laser sensor movement on the scanning radius is determined for the developed mechatronic profilograph. For example, if a constant pitch of the trajectory along the Archimedes spiral is 2 mm, the value of the sensor angular rate should gradually decrease from the maximum value of 2 rad/s to the minimum value of 0.574 rad/s, i.e. by 3.484 times. Results and discussion. It is revealed that the use of cylindrical coordinates for processing the obtained data by a profilograph is logical and has a number of advantages. An express analysis of the propeller surfaces with rotary symmetry is carried out and differences in the shapes of the surfaces of the propeller blades by deviation values in the longitudinal and transverse directions for different radii are established. On the basis of the experimental data, a two-factor power model describing deviations with a determination coefficient of 0.967 is obtained, according to its analysis, it is clear that on average the angle of deviation in the perpendicular direction to the radius d - increases from 0 to 0.3°, and the angle of deviation along the radius g  increases from 0 to 5.4°.

1. Ke Y., Fan S., Zhu W., Li A., Liu F., Shi X. Feature-based reverse modeling strategies. Computer-Aided Design, 2006, vol. 38, iss. 5, pp. 485–506. DOI: 10.1016/j.cad.2005.12.002.

2. Jeyapoovan T., Murugan M. Surface roughness classification using image processing. Measurement, 2013, vol. 46 (7), pp. 2065–2072. DOI: 10.1016/j.measurement.2013.03.014.

3. Lushnikov N., Lushnikov P. Methods of assessment of accuracy of road surface roughness measurement with profilometer. Transportation Research Procedia, 2017, vol. 20, pp. 425–429. DOI: 10.1016/j.trpro.2017.01.069.

4. Alexander V.V., Deng H., Islam M.N., Terry F.L. Non-contact surface roughness measurement of crankshaft journals using a super-continuum laser. Conference on Lasers and Electro-Optics 2010, San Jose, CA, 2010, p. AFA3. DOI: 10.1364/CLEO_APPS.2010.AFA3.

5. Rao C.B., Raj B. Study of engineering surfaces using laser-scattering techniques. Sadhana, 2003, vol. 28, pt. 3–4, pp. 739–761. DOI: 10.1007/BF02706457.

6. Abidin F.Z., Hung J., Zahid M.N. Portable non-contact surface roughness measuring device. IOP Conference Series: Materials Science and Engineering, 2019, vol. 469, p. 012074. DOI: 10.1088/1757-899X/469/1/012074.

7. Kiran R., Amarendra H.J., Lingappa S. Vision system in quality control automation. MATEC Web of Conferences, 2018, vol. 144, p. 03008. DOI: 10.1051/matecconf/201814403008.

8. Shih F.Y. Image processing and pattern recognition: fundamentals and techniques. Piscataway, NJ, IEEE Press, Hoboken, NJ, Wiley, 2010. 537 p. ISBN 978-0-470-40461-4.

9. Wang T., Groche P. Sheet metal profiles with variable height: numerical analyses on flexible roller beading. Journal of Manufacturing and Materials Processing, 2019, vol. 3 (1), p. 19. DOI: 10.3390/jmmp3010019.

10. Stoudt M., Hubbard J.B. Analysis of deformation-induced surface morphologies in steel sheet. Acta Materialia, 2005, vol. 53 (16), pp. 4293–4304. DOI: 10.1016/j.actamat.2005.05.038.

11. Vasiliev S.A., Alekseev V.V., Vasiliev M.A., Fedorova A.A. Razrabotka i issledovanie profilografa dlya izmereniya otklonenii formy poverkhnosti izdelii metodom lazernogo spiralevidnogo skanirovaniya [Development and research of a profile recorder for measuring deviations in the shape of the surface of products by laser spiral scanning]. Obrabotka metallov (tekhnologiya, oborudovanie, instrumenty) = Metal Working and Material Science, 2020, vol. 22, no. 4, pp. 71–81. DOI: 10.17212/1994-6309-2020-22.4-71-81.

12. Maksimov I.I., Maksimov V.I., Vasil’ev S.A., Alekseev V.V. Simulation of channel development on the surface of agrolandscapes on slopes. Eurasian Soil Science, 2016, vol. 49, iss. 4, pp. 475–480. DOI: 10.1134/S1064229316040074.

13. Vasiliev S.A., Alekseev V.V., Rechnov A.V. Ekspress-metod kolichestvennoi otsenki pozhnivnykh ostatkov na poverkhnosti pochvy [Express-method of quantitative assessment of crop residues on the soil surface]. Agrarnyi nauchnyi zhurnal = Agrarian Scientific Journal, 2015, no. 9, рр. 11–13.

14. Hockauf R., Grove T., Denkena B. Prediction of ground surfaces by using the actual tool topography. Journal of Manufacturing and Materials Processing, 2019, vol. 3 (2), p. 40. DOI: 10.3390/jmmp3020040.

15. Vasiliev S., Kirillov A., Afanasieva I. Method for controlling meliorative technologies on sloping cultivated lands using large scale profilometer. Engineering for Rural Development. Proceedings, 2018, vol. 17, pp. 537–542.

16. Vasiliev S.A. Razrabotka metoda i profilografa dlya otsenki meliorativnykh tekhnologii na sklonovykh agrolandshaftakh [Development of a method and the profilometer to control reclamation technologies slope agrolandscapes]. Izvestiya Nizhnevolzhskogo agrouniversitetskogo kompleksa: nauka i vysshee professional'noe obrazovanie = Proceedings of Nizhnevolzskiy Agrouniversity Complex: Science and Higher Vocational Education, 2016, no. 3, pp. 220–226.

17. Vasiliev S.A. Obosnovanie konstruktivno-tekhnologicheskikh parametrov profilografov dlya kontrolya meliorativnykh tekhnologii na sklonovykh agrolandshaftakh [Justification of structural and technological parameters of profilographs for reclamation technologies control on sloping cultivated lands]. Nauchnyi zhurnal Rossiiskogo NII problem melioratsii = Scientific Journal of Russian Scientific Research Institute of Land Improvement Problems, 2016, no. 4, pp. 40–54.

18. Campana C., Moslehpour S. Non contact surface roughness measurement instrumentation. American Society for Engineering Education, 2007, AC 2007-2557, p. 12.1107.

19. Groche P., Zettler A., Berner S., Schneider G. Development and verification of a one-step-model for the design of flexible roll formed parts. International Journal of Material Forming, 2010, vol. 4 (4). DOI: 10.1007/s12289-010-0998-3.

20. Schilling R.J. Fundamentals of robotics, analysis and control. New Delhi, Prentice Hall, 2005. ISBN 81-203-1047-0.

21. Yanyushkin A.S., Lobanov D.V., Arkhipov P.V. Research of influence of electric conditions of the combined electro-diamond machining on quality of grinding of hard alloys. IOP Conference Series: Materials Science and Engineering, 2015, vol. 91, p. 012051. DOI: 10.1088/1757-899X/91/1/012051.