%0 Journal Article
	%A Bahaa Eltahawy and  Mikko Ylihärsilä and  Reino Virrankoski and  Esko Petäjä
	%D 2017
	%J International Journal of Mechanical and Mechatronics Engineering
	%B World Academy of Science, Engineering and Technology
	%I Open Science Index 124, 2017
	%T Towards a Complete Automation Feature Recognition System for Sheet Metal Manufacturing
	%U https://publications.waset.org/pdf/10006986
	%V 124
	%X Sheet metal processing is automated, but the step from product models to the production machine control still requires human intervention. This may cause time consuming bottlenecks in the production process and increase the risk of human errors. In this paper we present a system, which automatically recognizes features from the CAD-model of the sheet metal product. By using these features, the system produces a complete model of the particular sheet metal product. Then the model is used as an input for the sheet metal processing machine. Currently the system is implemented, capable to recognize more than 11 of the most common sheet metal structural features, and the procedure is fully automated. This provides remarkable savings in the production time, and protects against the human errors. This paper presents the developed system architecture, applied algorithms and system software implementation and testing.
	%P 815 - 824