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Accuracy of the New Method of Alignment of Workpiece Using Structural-Light 3D Scanner

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Języki publikacji
EN
Abstrakty
EN
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.
Twórcy
  • Politechnika Poznańska, Plac Marii Skłodowskiej-Curie 5, 60-965 Poznań, Poland
  • Politechnika Poznańska, Plac Marii Skłodowskiej-Curie 5, 60-965 Poznań, Poland
  • Famot Pleszew sp. z o.o., ul. Fabryczna 7, 63-300 Pleszew, Poland
Bibliografia
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  • 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.
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  • 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.
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  • 13. Gessner A., Staniek R. The casting defect detection. Patent 225197, Poland 2017.
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  • 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.
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  • 20. Gessner A. Method for preparing the casting for machining. Patent 216002, Poland 2014.
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Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-38097856-7916-4f53-9147-d46771d513fc
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