Photogrammetry Applied to Evaluation of the Geometry Changes on Cutting Tools Wear

  1. Valerga, Ana P. 1
  2. Cabrera-Revuelta, Elena 1
  3. Alonso-Garcia, Maria 1
  4. Fernandez-Vidal, Severo R. 1
  1. 1 School of Engineering, Department of Mechanical Engineering and Industrial Design, University of Cadiz, Av. Universidad de Cadiz 10, 11519, Puerto Real, Cadiz, Spain
Proceedings:
INGEGRAF 2022: Advances in Design Engineering III

Publisher: Springer

ISSN: 2195-4356 2195-4364

ISBN: 9783031203244 9783031203251

Year of publication: 2023

Pages: 583-594

Type: Conference paper

DOI: 10.1007/978-3-031-20325-1_46 GOOGLE SCHOLAR lock_openOpen access editor

Sustainable development goals

Abstract

The use of reverse engineering techniques is one of the pillars of the Industry 4.0. It has many uses such as: control of manufacturing processes through shape recognition, data extraction or operator training through virtual reality. One of these techniques is photogrammetry, the main objective of which is to obtain information on the measurements and shapes of one or several objects from multiple photographs of them. In this work, the aim is to establish the use of this technique as one of the multiple methods for the analysis of wear in cutting tools. Virtual models of turning inserts before and after machining were obtained and compared with the design supplied by the manufacturer. This was used to analyze the deviations between models in order to quantify tool wear.

Bibliographic References

  • Thompson M, Eller RC, Radlinsk WA, Speert JL (1966) Manual of photogrammetry, vol 1. American Society of Photogrammetry, Falls Church
  • Li C, King B (2002) Close range photogrammetry for the structural monitoring of the Star Ferry colonnade. J Geospatial Eng 4(2):135–143
  • Kaplan F, di Lenardo I (2020) The advent of the 4D mirror world. Urban Plan 5:307
  • Laussedat A (1899) La métrophotographie. Gauthier-Villars, Paris
  • Lambers K, Eisenbeiss H, Sauerbier M, Kupfer D, Gaisecker T, Sotoodeh S, Hanusch T (2007) Combining photogrammetry and laser scanning for the recording and modelling of the late intermediate period site of Pinchango Alto, Palpa, Peru. J Archaeol Sci 34(10)
  • Ventura D, Mancini G, Casoli E, Pace DS, Lasinio GJ, Belluscio A, Ardizzone G (2022) Seagrass restoration monitoring and shallow-water benthic habitat mapping through a photogrammetry-based protocol. J Environ Manag 114262
  • Baltsavias EP (1999) A comparison between photogrammetry and laser scanning. ISPRS J Photogramm Remote Sens 54(2–3):83–94
  • Cooper MAR, Robson S (1990) High precision photogrammetric monitoring of the deformation of a steel bridge. Photogram Rec 13(76):505–510
  • Ozbek M, Rixen DJ, Erne O, Sanow G (2010) Feasibility of monitoring large wind turbines using photogrammetry. Energy 35(12):4802–4811
  • Luhmann T (2010) Close range photogrammetry for industrial applications. ISPRS J Photogramm Remote Sens 65(6):558–569
  • Parras D, Romero L, Cavas F, Nieto J, Cañavate F (2016) Use of 3D scanning and reversee engineering for the prototyping of mechanical parts. In: 20th international congress on project management and engineering. Cartagena, pp 867–879
  • Carrilero MS, Bienvenido R, Sánchez JM, Alvarez M, González A, Marcos M (2002) A SEM and EDS insight into the BUL and BUE differences in the turning processes of AA2024 Al–Cu alloy. Int J Mach Tools Manuf 42(2):215–220
  • Bañon F, Sambruno A, Fernandez-Vidaly S, Fernandez-Vidal SR (2019) One-shot drilling analysis of stack CFRP/UNS A92024 bonding by adhesive. Materials 12(1)
  • Alonso Pinillos U, Fernández Vidal SR, Calamazy M, Girot FA (2019) Wear mechanisms and wear model of carbide tools during dry drilling of CFRP/TiAl6V4 stacks. Materials 12(18):2843
  • Shiraishi M (1988) Scope of in-process measurement, monitoring and control techniques in machining processes—part 1: in-process techniques for tools. Precis Eng 10(4):179–189
  • Cook NH (1980) Tool wear sensors. Wear 62(1):49–57
  • Siddhpuray A, Paurobally R (2013) A review of flank wear prediction methods for tool condition monitoring in a turning process. Int J Adv Manuf Technol 65(1):371–393
  • ISO 3685:1993 (1993) Tool-life testing with single-point turning tools. Genève (Switzerland)
  • ISO 8688–1:1989 (1989) Tool life testing in milling Part 1: Face milling. Genève (Switzerland)
  • ISO 8688–2:1989 (1989) Tool life testing in milling Part 2: End milling. Genève (Switzerland)
  • Tools S, Technical data sheet DCMT11T304-F1 CP500. Available: https://www.secotools.com/article/p_00096871?language=en.