An approach to improved CNC machining using vision-based system

Materials and Manufacturing Processes

Volumn 27, Issue 7, 2012, Pages 765-774

  Al Kindi, Ghassan ^a   Zughaer, Hussien ^b  

^a SOHAR UNIVERSITY   (Oman)

^b University of Doha for Science and Technology   (Qatar)

Author keywords

Improved CNC machining; Intelligent machining; Surface roughness; Vision system

Indexed keywords

CNC MACHINE; CNC MACHINING; CNC MILLING MACHINE; CUTTING-DIRECTION; IMAGE DATA; INDUSTRIAL SCALE; MACHINE SPINDLES; MACHINED SURFACE; MACHINING SURFACES; MONITORING AND CONTROL SYSTEMS; TOOLPATHS; VALID IMAGE; VISION BASED; VISION SYSTEMS; VISION-BASED SYSTEM;

CAMERAS; COMPUTER CONTROL SYSTEMS; MACHINERY; SURFACE ROUGHNESS;

COMPUTER VISION;

EID: 84861962581     PISSN: 10426914     EISSN: 15322475     Source Type: Journal    
DOI: 10.1080/10426914.2011.648249     Document Type: Article

References (17)

1. Al-Kindi, G.; Gill, K.; Baul, R. Vision-controlled CNC machines. IEE Computing and Control Engineering Journal 1993 (April), 92-96. (Pubitemid 23669459)
2. Quintana, G.; Ciurana, J.; Ribatallada, J. Surface roughness generation and material removal rate in ball end milling operations. Materials and Manufacturing Processes 2010, 25 (6), 386-398.
3. Cardoso, P.; Davim, P. Optimization of surface roughness in micromilling. Materials and Manufacturing Processes 2010, 25 (10), 1115-1119.
4. Zhang, J.; Chen, J. Surface roughness optimization in adrilling operation using the Taguchi design method. Materials and Manufacturing Processes 2009, 24 (4), 459-467.
5. Saikumar, S.; Shunmugam, M. Parameter selection based on surface finish in high-speed end-milling using differential evolution. Materials and Manufacturing Processes 2006, 21, 341-347.
6. Yang, Y.; Shie, J.; Huang, C. Optimization of dry machining parameters for high-purity graphite in end-milling process. Materials and Manufacturing Processes 2006, 21, 832-837. (Pubitemid 44664140)
7. El-Hossainy, T. A new technique for enhancing surface roughness of metals during turning. Materials and Manufacturing Processes 2010, 25 (12), 1505-1512.
8. Al-Kindi, G.; Shirinzadeh, B. An evaluation of surface roughness parameters measurement using vision-based data. International Journal of Machine Tools and Manufacture 2007, 47, 697-708. (Pubitemid 44908877)
9. Al-Kindi, G.; Shirinzadeh, B. Feasibility assessment of vision-based surface roughness parameters acquisition for different types of machined specimens. Image and Vision Computing 2009, 27, 444-458.
10. Castejon, M.; Alegre, E.; Barreiro, J.; Hernandez, L. On-line tool wear monitoring using geometric descriptors from digital images. International Journal of Machine Tools and Manufacture 2007, 47, 1847-1853. (Pubitemid 47225020)
11. Eladawi, A.; Gadelmawla, E.; Elewa, I.; Abdel-Shafy, A. An application of computer vision for programming computer numerical control machines. Proc. Instn. Mech. Engineers, Part B: Journal of Engineering Manufacture 2003, 217, 1315-1324.
12. Kerr, D.; Pengilley, J.; Garwood, R. Assessment and visualization of machine tool wear using computer vision. International Journal of Advanced Manufacturing Technology 2006, 28, 781-791.
13. Alegre, E.; Barreiro, J.; Castejon, M.; Suarez, S. Computer vision and classification techniques on the surface finish control in machining processes. ICIAR 2008, LNCS (5112), 1101-1110.
14. Kwona, Y.; Tseng, T.; Ertekin, Y. Characterization of closed-loop measurement accuracy in precision CNC milling. Robotics and Computer-Integrated Manufacturing 2006, 22, 288-296. (Pubitemid 43343773)
15. Al-Kindi, G.; Gill, K.; Baul, R. Experimental Evaluation of 'Shape from Shading' for Engineering Component Profile Measurement. Proc. Instn. Mech. Engineers, Part B: Journal of Engineering Manufacture 1989, 203, 211-216.
16. Al-Kindi, G.; Shirinzadeh, B.; Zhong, Y. A vision-based approach for surface roughness assessment at micro-and nano-scales. In Proceedings of the 10th International Conference on Control Automation Roboties and Vision (ICARV), Hanoi, Vietnam, 2008; 1903-1908.
17. Al-Kindi, G.; Abdul Kareem, L. An application of reverse engineering using vision-based data. International Journal of Applied Engineering Research 2009, 4 (7), 1333-1346.