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This paper presents a new method of aligning workpieces for machining by means of optical measurements followed by the results of verification tests of this method. The overview of modern assessment methods of irregularly shaped blanks are discussed in this study, with particular emphasis on cast iron castings, as well as on problems related to their positioning and fixing for machining. A flowchart of the proposed method and its verification results in industrial conditions are also presented. The essence of the method is based on the comparison of two spatial models: a designed workpiece model and the actual model of a casting produced with a coordinate measuring technique. A series of six iron castings were tested. The obtained results indicate that the errors caused by locating amounted to a maximum of 2 mm (average 0.5 mm) and were three times lower than actual machining allowances. This points to the correctness of the developed method and the great potential for its industrial application. Additionally, a method for improving locating accuracy by modifying the shape of the retaining pin is presented.
Słowa kluczowe
Wydawca
Rocznik
Tom
Strony
1--14
Opis fizyczny
Bibliogr. 23 poz., fig., tab.
Twórcy
autor
- Politechnika Poznańska, Plac Marii Skłodowskiej-Curie 5, 60-965 Poznań, Poland
autor
- Politechnika Poznańska, Plac Marii Skłodowskiej-Curie 5, 60-965 Poznań, Poland
autor
- Famot Pleszew sp. z o.o., ul. Fabryczna 7, 63-300 Pleszew, Poland
Bibliografia
- 1. ISO 8062-3:2007. General dimensional and geometrical tolerances and machining allowances for castings.
- 2. Gessner A. Photogrammetry and scanning in the technology of machine tool bodies. WPP. Poznań, Poland; 2015.
- 3. Chatelain J.F., Fortin C. A Balancing Technique for Optimal Blank Part Machining. Precision Engineering. 2001; 25(1): 13–23.
- 4. Gessner A., Bartkowiak T., Staniek R. Computeraided alignment of castings and machining optimization. Proceedings of the Institution of Mechanical Engineers, Part C-Journal of Mechanical Engineering Science. 2015; 229(3): 485–492.
- 5. Gessner A., Staniek R. Optimizing Machining of Machine Tool Casting Bodies by Means of Optical Scanning. In: Proc. of the ASME 2013 International Mechanical Engineering Congress and Exposition, San Diego, California, USA 2013.
- 6. Zatarain M., Mendikute A., Inziarte I. Raw part characterization and automated alignment by means of a photogrammetric approach. CIRP Annals Manufacturing Technology. 2012; 61(1): 383–386.
- 7. Srinivasan H., Harrysson O.L.A., Wysk R.A. Automatic part localization in a CNC machine coordinate system by means of 3D scans. The international Journal of Advanced Manufacturing Technology. 2015; 81(5–8): 1127–1138.
- 8. Okarma K., Grudziński M. The 3D scanning system for the machine vision based positioning of workpieces on the CNC machine tools. In: Proc. of 17th International Conference on Methods & Models in Automation & Robotics (MMAR), Międzyzdroje, Poland 2012.
- 9. Xiong Z., Wang M.Y., Li Z. A Near-Optimal Probing Strategy for Workpiece Localization. IEEE Transactions on Robotics. 2004; 20(4): 668–676.
- 10. Lim H.S., Son S.M., Wong Y.S., Rahman M. Development and evaluation of an on-machine optical measurement device. International Journal of Machine Tools and Manufacture. 2007; 47(10): 1556–1562.
- 11. Ko H.W., Chen Y., Lee N. Bhapkar R., Kapoor S., Ferreira P. Accommodating Casting and Fixturing Errors by Adjusting the Machining Coordinate Frame. Journal of Computing and Information Science in Engineering. 2021; 21(2): 1–49.
- 12. Cuypers W., Van Gestel N., Voet A., Kruth J.P., Mingneau J., Bleys P. Optical Measurement Techniques for Mobile and Large-scale Dimensional Metrology. Optics and Lasers in Engineering. 2009; 47(3–4): 292–300.
- 13. Gessner A., Staniek R. The casting defect detection. Patent 225197, Poland 2017.
- 14. Muñoz A., Martí A., Mahiques X., Gracia L., Ernesto Solanes J., Tornero J. Camera 3D positioning mixed reality-based interface to improve worker safety, ergonomics and productivity. CIRP Journal of Manufacturing Science and Technology. 2020; 28: 24–37.
- 15. Čuboňová N., Dodok T., Kuric I., Císar M., Implementation of Innovative Methods for the Creation of Strategy Algorithms in CAD/CAM System Edgecam. Advances in Science and Technology – Research Journal. 2018; 12(4): 10–18.
- 16. De Meter E.C. Fast support layout optimization. International Journal of Machine Tools & Manufacture. 1998; 38(10–11): 1221–1239.
- 17. Gonzaloa O., Seara J.M., Guruceta E., Izpizua A., Esparta M., Zamakona I. et al. A method to minimize the workpiece deformation using a concept of intelligent fixture. Robotics and Computer-Integrated Manufacturing. 2017; 48: 209–218.
- 18. Tang X., Zhang X., Tao R. Flexible Fixture Device with Magneto-Rheological Fluids. Journal of Intelligent Material Systems and Structures. 1999; 10(9): 690–694.
- 19. Wang Y., Chen X., Gindy N. Deformation Analysis of Fixturing for Workpiece with Complex Geometry. Key Engineering Materials. 2005; 291–292: 631–636.
- 20. Gessner A. Method for preparing the casting for machining. Patent 216002, Poland 2014.
- 21. Gessner A. Method for preparing the casting for machining with minimization of machining. Patent 216611, Poland 2014.
- 22. Gessner A. A method for locating workpiece in a fixture jig, especially of irregular shape. Patent application 436453, Poland 2020.
- 23. Sela M., Gaudry O., Dombre E., Benhabib B. A reconfigurable modular fixturing system for thin-walled flexible objects. The International Journal of Advanced Manufacturing Technology. 1997; 13(9): 611–617.
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-38097856-7916-4f53-9147-d46771d513fc