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Abstract
This thesis explores the development and implementation of a palletizing robot cell utilizing the ABB IRB 460 robot within the RobotStudio environment, focusing on virtual commissioning to enhance industrial automation efficiency. The study aims to validate the robotic system's performance, thereby reducing commissioning time and costs. By simulating various operational scenarios, the research evaluates the station layout design, interface configuration, and system reliability under diverse conditions. The findings demonstrate that virtual commissioning effectively identifies potential issues prior to physical deployment, leading to improved operational efficiency and cost-effectiveness.
Abstract
This thesis explores the development and implementation of a palletizing robot cell utilizing the ABB IRB 460 robot within the RobotStudio environment, focusing on virtual commissioning to enhance industrial automation efficiency. The study aims to validate the robotic system's performance, thereby reducing commissioning time and costs. By simulating various operational scenarios, the research evaluates the station layout design, interface configuration, and system reliability under diverse conditions. The findings demonstrate that virtual commissioning effectively identifies potential issues prior to physical deployment, leading to improved operational efficiency and cost-effectiveness.
Tipologia del documento
Tesi di laurea
(Laurea magistrale)
Autore della tesi
Hamadi, Mahdi
Relatore della tesi
Scuola
Corso di studio
Ordinamento Cds
DM270
Parole chiave
Virtual Commissioning,Industrial Automation,robotic pallitization,IRB 460,Robotstudio simulation
Data di discussione della Tesi
6 Febbraio 2025
URI
Altri metadati
Tipologia del documento
Tesi di laurea
(NON SPECIFICATO)
Autore della tesi
Hamadi, Mahdi
Relatore della tesi
Scuola
Corso di studio
Ordinamento Cds
DM270
Parole chiave
Virtual Commissioning,Industrial Automation,robotic pallitization,IRB 460,Robotstudio simulation
Data di discussione della Tesi
6 Febbraio 2025
URI
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