The Practical Verification of the Material Loss Detection Method for Cylindrical Shape Parts

Abstract:

The Material Loss Detection Method for Cylindrical Shape parts (MLDMCS) was presented in the previous article. The verification of the method was executed on two different samples, manufactured from different materials and with different geometries. The main goal of research was to set the diameter tolerance for a detection process. The first sample was examined nine times with a modification of one parameter diameter tolerance. The results interpretation gives a possibility to check the proper set of data for future cylindrical shape examinations according to accuracy class of manufacturing. Preparation of the first sample was done in order to check: centricity of compared models, uniform material los detection mechanical friction worn, various distribution and shape of material loss, various depth of material loss. Second sample was prepared in order to check correct detection of material loss in case when element have a feature (like key slot), that is in a part but simultaneously it exist according to design. The main target is to recognize with the algorithm: what is, what is not and properly classify material loss. Furthermore second examination sample was damaged in a border area of the mentioned feature. The presented verification proves that is possible to apply the proposed MLDMCS in industry to support overhaul process of technical means. The important part of examination preparation is a set of a technological base that is used to fit together sample model (from 3D scanning) and the design pattern model (from CAD design). The main result is a material loss digital presentation, 3D and 2D simplified distribution. Groups of material loss can be assigned to specific areas in order to prepare refurbishing process turning surface layer before laser cladding is applied. The distribution map (2D and 3D) fully corresponds to material loss distribution on samples. Time of element examination with MLDMCS is strictly related to accuracy in angle division and axial division in distribution of singular volume. The verification proves that the 3^rd generation of refurbishing process operation preparation is possible to put in to practice. However it has to be prepared with proper methods and equipment. The method should be applied especially in situation when an element is: refurbished in series, elements that are refurbished have similar design, elements characterizes with same accuracy class of manufacturing and similar diameters, but with various designs.

• Periodical: Advanced Materials Research (Volume 1036)
• Pages: 656-661
• DOI: https://doi.org/10.4028/www.scientific.net/AMR.1036.656
• Online since: October 2014
• Authors: Witold Janik
• Keywords: CAD, CAM, CMM, Material Loss Detection, Overhaul, Refurbishing, Siemens NX

References

[1] Ćwikła G.: Real-time monitoring station for production systems. Advanced Materials Research, Vol. 837 (2014), pp.334-339.

DOI: 10.4028/www.scientific.net/amr.837.334

[2] Dymarek A., Dzitkowski T., Herbuś K., Kost G., Ociepka P.: Geometric analysis of motions exercised by the Stewart platform, Advanced Materials Research. 837 (2014) 351-356.

DOI: 10.4028/www.scientific.net/amr.837.351

[3] Grabowik C., Janik W.: The concrete casting matrixes inserts design preparation based on the master models. Advanced Materials Research Vol. 702 (2013), pp.259-262.

DOI: 10.4028/www.scientific.net/amr.702.259

[4] Gwiazda A,: Technical project management using quality methods, Journal of Achievements in Materials and Manufacturing Engineering, 31/2 (2008), pp.739-746.

[5] Hetmańczyk M.: The multilevel prognosis system based on matrices and digraphs methods [in: ] Mechatronic systems and materials V. [Eds: ] Z. Gosiewski, Z. Kulesza, Solid State Phenomena, vol. 199, Stafa-Zurich: Trans Tech Publications (2013).

DOI: 10.4028/www.scientific.net/ssp.199.79

[6] Janik W., The method of a material loss detection for cylindrical shape parts of elements with a 3D scanning application, International Journal of modern manufacturing Technologies, vol. 5 no. 2 (2013), pp.58-64.

[7] Janik W., Computer aided overhaul in expert system application - the disassembly module, Research Bulletin – Selected Engineering Problems, Silesian Uniwersity of Technology Publishing, 2/2011, no. 2, pp.151-158.

[8] Janik W., Computer aided overhaul in expert system application - the aggregation module, Research Bulletin – Selected Engineering Problems, Silesian Uniwersity of Technology Publishing, 2/2011, no. 2, pp.159-164.

[9] Kalinowski K, Grabowik C., Kempa W., Paprocka I.: The graph representation of multivariant and complex processes for production scheduling [in: ] Modern Technologies in Industrial Engineering. [Eds: ] C. Carausu et al. Advanced Materials Research, vol. 837 (2014).

DOI: 10.4028/www.scientific.net/amr.837.422

[10] Świder J., Hetmańczyk M., Michalski P.: Utilization of advanced self-diagnostic functions implemented in frequency inverters for the purpose of the computer-aided identification of operating conditions, Journal of Vibroengineering, vol. 14 (2012).