Mechanical and Tribological Properties of a Metal Wall Grown by an Electric Arc Method in an Atmosphere of Shielding Gas

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Abstract

Introduction. At present, additive manufacturing is one of the most promising methods to optimize the production processes of complex metal products. It is based on the layer-by-layer metal deposition in accordance with a three-dimensional model created using computer aided design software. Various metal powders and wires are applied as a feedstock, and a laser or electron beam, as well as an arc can be employed as a heat source. Despite the existing rather large number of developed methods for the complex metal product additive manufacturing, some of them are very expensive that results in a high production cost. Due to this fact, developing equipment and procedures for the layer-by-layer gas metal arc deposition using carbon dioxide as a shielding gas is an urgent task. The aim of the paper is to investigate the mechanical and tribological properties of carbon steel samples built by the layer-by-layer gas metal arc deposition according to the developed procedure. The carbon steel samples, built by layer-by-layer gas metal arc deposition using carbon dioxide as a shielding gas, are studied. The research methods are mechanical tests of tensile strength, yield strength and elongation of grown samples, as well as tribological properties (wear surface area, friction coefficient and amplitude of vibrational accelerations). Results and Discussion. It is found that the samples built by the developed additive manufacturing procedure possessed the mechanical properties commensurate with hot-rolled steel. It is established that there is a decrease in linear energy when growing a metal wall according to the developed technology due to preheating of the electrode wire to 400...600 ° C by installing an additional current supply located at a distance of 250…400 mm from the end of the wire to pass the heating current. As a result, the tribological properties of the grown samples are increased and its wear became more uniform.

About the authors

M. A. Kuznetsov

Email: kyznechik_85@mail.ru
Ph.D. (Engineering), Yurga Institute of Technology, TPU Affiliate, 26 Leningradskaya st., Yurga, 652055, Russian Federation, kyznechik_85@mail.ru

V. I. Danilov

Email: dvi@ispms.tsc.ru
D.Sc. (Physics and Mathematics), Professor, Institute of Strength Physics and Materials Science SB RAS, 2/4, Academic Avenue, Tomsk, 635055, Russian Federation, dvi@ispms.tsc.ru

M. A. Krampit

Email: savage_jawa@mail.ru
School of Engineering, 24, Leningrad Street, Yurga, 650059, Russian Federation, savage_jawa@mail.ru

D. A. Chinakhov

Email: chinakhov@tpu.ru
Ph.D. (Engineering), Associate Professor, 1. Yurga Institute of Technology, TPU Affiliate, 26 Leningradskaya st., Yurga, 652055, Russian Federation; 2. Institute of Strength Physics and Materials Science SB RAS, 2/4, Academic Avenue, Tomsk, 635055, Russian Federation, chinakhov@tpu.ru

M. S. Slobodyan

Email: s.m.s@ngs.ru
Ph.D. (Engineering), Institute of Strength Physics and Materials Science SB RAS, 2/4, Academic Avenue, Tomsk, 635055, Russian Federation, s.m.s@ngs.ru

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Согласие на обработку персональных данных с помощью сервиса «Яндекс.Метрика»

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2. Категории обрабатываемых данных: файлы «cookies» (куки-файлы). Файлы «cookie» – это небольшой текстовый файл, который веб-сервер может хранить в браузере Пользователя. Данные файлы веб-сервер загружает на устройство Пользователя при посещении им Сайта. При каждом следующем посещении Пользователем Сайта «cookie» файлы отправляются на Сайт Оператора. Данные файлы позволяют Сайту распознавать устройство Пользователя. Содержимое такого файла может как относиться, так и не относиться к персональным данным, в зависимости от того, содержит ли такой файл персональные данные или содержит обезличенные технические данные.

3. Цель обработки персональных данных: анализ пользовательской активности с помощью сервиса «Яндекс.Метрика».

4. Категории субъектов персональных данных: все Пользователи Сайта, которые дали согласие на обработку файлов «cookie».

5. Способы обработки: сбор, запись, систематизация, накопление, хранение, уточнение (обновление, изменение), извлечение, использование, передача (доступ, предоставление), блокирование, удаление, уничтожение персональных данных.

6. Срок обработки и хранения: до получения от Субъекта персональных данных требования о прекращении обработки/отзыва согласия.

7. Способ отзыва: заявление об отзыве в письменном виде путём его направления на адрес электронной почты Оператора: info@rcsi.science или путем письменного обращения по юридическому адресу: 119991, г. Москва, Ленинский просп., д.32А

8. Субъект персональных данных вправе запретить своему оборудованию прием этих данных или ограничить прием этих данных. При отказе от получения таких данных или при ограничении приема данных некоторые функции Сайта могут работать некорректно. Субъект персональных данных обязуется сам настроить свое оборудование таким способом, чтобы оно обеспечивало адекватный его желаниям режим работы и уровень защиты данных файлов «cookie», Оператор не предоставляет технологических и правовых консультаций на темы подобного характера.

9. Порядок уничтожения персональных данных при достижении цели их обработки или при наступлении иных законных оснований определяется Оператором в соответствии с законодательством Российской Федерации.

10. Я согласен/согласна квалифицировать в качестве своей простой электронной подписи под настоящим Согласием и под Политикой обработки персональных данных выполнение мною следующего действия на сайте: https://journals.rcsi.science/ нажатие мною на интерфейсе с текстом: «Сайт использует сервис «Яндекс.Метрика» (который использует файлы «cookie») на элемент с текстом «Принять и продолжить».