CONTROL OF EQUIPMENT FOR INCREMENTAL FORMING USING A LASER TRACKER


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Abstract

The technological equipment geometry control has a significant impact on the overall quality and performance of the product in many manufacturing processes such as multi-position assembly and stamping as well as on productivity and production costs. One of the most promising means of technology equipment geometry control in the digital economy condition is a laser tracker. The robotic incremental sheet forming process assumes the necessary flexibility and profitability due to a very flexible tool chain. In this case, the trajectory of the universal tool is set using a processing program determined by the product geometry. The technological equipment  geometry control  of the robotic complex for  incremental sheet forming was carried out in 2 stages. At the first stage, the measurements were carried out manually in the absolute range measuring system mode. At the second stage, a dynamic measurement of the blank plane displacement was carried  out automatically in the interferometer mode during forming process. It was shown that the largest slipway deviation  more than 1 mm  and it occurs in the direction of the main application of force, i.e. in the product manufacture depth. This value can have a serious impact on the of manufacturing parts geometry accuracy. Based on the measurement results, it can be concluded that it is necessary to increase the rigidity of the frame, either by adding additional fasteners, or by using more rigid materials of its construction.

About the authors

Nadezhda Sazonnikova

Samara University

Author for correspondence.
Email: nasazonnikova@yandex.ru

PhD, Professor of the Department of Automatic Systems of Power Plants, Samara University, Russia

Russian Federation, 34, Moskovskoe shosse, Samara, 443086, Russian Federation

Vladimir Ilyukhin

Samara University

Email: iwnik@yandex.ru

PhD, docent of department of Power Plant Automatic Systems, Samara University, Russia

Russian Federation, 34, Moskovskoe shosse, Samara, 443086, Russian Federation

Sergey Surudin

Samara University

Email: innosam63@gmail.com

PhD, docent of department of Power Plant Automatic Systems, Samara University, Russia

Russian Federation, 34, Moskovskoe shosse, Samara, 443086, Russian Federation

Dmitry Mezentsev

Samara University

Email: curucum@mail.ru

PhD student, department of Power Plant Automatic Systems, Samara University, Russia

Russian Federation, 34, Moskovskoe shosse, Samara, 443086, Russian Federation

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Copyright (c) 2022 Sazonnikova N., Ilyukhin V., Surudin S., Mezentsev D.

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