![](/images/EQUIPMENTS/GOTECH/Universal_testing_machine/AI-7000-LAU.jpg)
![](data:image/png;base64,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)
Испытательные машины серии UGT-AI-7000-LA с сервогидравлическим приводом имеют большой ход траверсы, широкий диапазон скоростей испытаний, усиленные рамы, рассчитанные на большие нагрузки (до 100 тс), и позволяют определять прочностные и деформационные характеристики высокопрочных материалов и изделий из них, для разных видов деформаций – растяжении, сжатии, изгибе, срезе и пр.
Внесены в метрологический реестр средств измерений РФ.
Стандарты: ГОСТ 4651, 4648, 11262, 18197, 24778, 12580, 14236, 14359, 270-75, 262-93, 9550, 2678; ASTM D638, D790; ISO 178, 27, 37, 34, D828, D882, D1938, D3330, F88, F904 и др.
Подробнее...