Use of machine learning models in condition monitoring of abrasive belt in robotic arm grinding process

Use of machine learning models in condition monitoring of abrasive belt in robotic arm grinding process

Although the aspects that affect the performance and the deterioration of abrasive belt grinding are known, wear prediction of abrasive belts in the robotic arm grinding process is still challenging. Massive wear of coarse grains on the belt surface has a serious impact on the integrity of the tool...

Полное описание

Библиографические подробности
Главные авторы: Surindra, Mochamad Denny, Alfarisy, Gusti Ahmad Fanshuri, Caesarendra, Wahyu, Petra, Mohamad Iskandar, Prasetyo, Totok, Tjahjowidodo, Tegoeh, Królczyk, Grzegorz M., Glowacz, Adam, Gupta, Munish Kumar
Другие авторы: School of Mechanical and Aerospace Engineering
Формат: Journal Article
Язык:English
Опубликовано: 2024
Предметы:
Engineering
Abrasive belt grinding
Robotic arm
Online-ссылка:https://hdl.handle.net/10356/180099

Internet

https://hdl.handle.net/10356/180099

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