Computer vision system selection for control of rapid prototyping processes

Daniil V. Izmaylov; Nadezhda D. Tolstoba; Kirill Y. Bodrov

doi:10.1117/12.2313959

28 May 2018 Computer vision system selection for control of rapid prototyping processes

Daniil V. Izmaylov, Nadezhda D. Tolstoba, Kirill Y. Bodrov

Proceedings Volume 10695, Optical Instrument Science, Technology, and Applications; 106950Q (2018) https://doi.org/10.1117/12.2313959
Event: SPIE Optical Systems Design, 2018, Frankfurt, Germany

Abstract

Rapid rates of technologies development allow humanity to take a look at new opportunities. Development of 3Dprinting is a great example, which more actively comes into everyday life. Despite tempestuous development of 3D-printing, there is a big amount of problems connected with accuracy, quality, reliability, economy and safety of manufacturing. The technological process of three-dimensional printing requires control over the accuracy of the product, identifying defective parts in the printing process, as well as adjusting the print parameters during operation. In this work we propose the solution of problems by using systems of visual control. A system of solutions that allows to reliably detect problems that occur during printing, to form a feedback system that react to events happening in the area of printing in the real time. For example, the creation of a visual feedback system will help improve accuracy. Controlling defective parts can be done by comparing the detail that is in the process of printing with its three-dimensional model. By equipping the system with additional sensors, for example, a thermal imager, it is possible to analyze the model overheating zones and change the print parameters directly during the manufacturing of the part. The creation of such a tool is the development of hardware and software acquisition and maintenance of additional parameters in the 3D-printing. From the point of view of optics, it is possible to solve such a problem in several ways, which will be describe in this report.

Citation Download Citation

Daniil V. Izmaylov, Nadezhda D. Tolstoba, and Kirill Y. Bodrov "Computer vision system selection for control of rapid prototyping processes", Proc. SPIE 10695, Optical Instrument Science, Technology, and Applications, 106950Q (28 May 2018); https://doi.org/10.1117/12.2313959

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