Modular robotic platform for autonomous machining

Product miniaturisation is one of the key aspects of modern manufacturing technology. One of the ways to fabricate miniaturised product is micromachining using sophisticated computer numerically controlled (CNC) machine tools. However, conventional CNC machines are bulky, stationary, and unable to...

Full description

Bibliographic Details
Main Authors: Murshiduzzaman, Murshiduzzaman, Saleh, Tanveer, Khan, Md. Raisuddin
Format: Article
Language:English
English
Published: Springer London 2019
Subjects:
Online Access:http://irep.iium.edu.my/76101/
http://irep.iium.edu.my/76101/
http://irep.iium.edu.my/76101/
http://irep.iium.edu.my/76101/1/IJAMT_Robot.pdf
http://irep.iium.edu.my/76101/7/76101_Modular%20robotic%20platform%20for%20autonomous%20machining_Scopus.pdf
id iium-76101
recordtype eprints
spelling iium-761012020-02-27T01:36:57Z http://irep.iium.edu.my/76101/ Modular robotic platform for autonomous machining Murshiduzzaman, Murshiduzzaman Saleh, Tanveer Khan, Md. Raisuddin T Technology (General) Product miniaturisation is one of the key aspects of modern manufacturing technology. One of the ways to fabricate miniaturised product is micromachining using sophisticated computer numerically controlled (CNC) machine tools. However, conventional CNC machines are bulky, stationary, and unable to carry out parallel operations. This research aims to develop a modular robotic platform which would be able to carry out machining operation in mesoscale. Hexapod robots are legged mobile robots which are used for verities of applications. Here, we have implemented a hexapod robotic platform to support and move the cutting tool (in this case, a drilling tool). The robot was controlled from the host computer through serial communication. A graphical user interface (GUI) was designed and implemented to operate the robot and the drilling spindle. Several machining operations were carried out with the system to assess its performance. An innovative compensation algorithm has been proposed to improve the positional accuracy of the robot movement. The proposed algorithm takes into account spindle speed and linear velocity to mitigate the positional error. The positional accuracy was improved bymore than 60%after implementing the error compensation scheme. In this research we managed to achieve sub-10 μm repeatability (≤ 10 μm) at the lowest spindle and point to point linear speed of 2500 RPM and 200 mm/min, respectively. The performance (in terms of positional accuracy) of the robot was also compared with that of an existing commercial micromachining system where the robot was found to be almost ~ 2× time poorer to that of the commercial machine. Finally, the machined holes’ quality was measured in terms of circularity and taperness. It was observed that at the best machining parameters circularity deviation was as low as 29.4 μm while taperness was 0.54 degree. Springer London 2019-11-04 Article PeerReviewed application/pdf en http://irep.iium.edu.my/76101/1/IJAMT_Robot.pdf application/pdf en http://irep.iium.edu.my/76101/7/76101_Modular%20robotic%20platform%20for%20autonomous%20machining_Scopus.pdf Murshiduzzaman, Murshiduzzaman and Saleh, Tanveer and Khan, Md. Raisuddin (2019) Modular robotic platform for autonomous machining. International Journal of Advanced Manufacturing Technology. ISSN 0268-3768 E-ISSN 1433-3015 (In Press) https://link.springer.com/article/10.1007/s00170-019-04427-1 10.1007/s00170-019-04427-1
repository_type Digital Repository
institution_category Local University
institution International Islamic University Malaysia
building IIUM Repository
collection Online Access
language English
English
topic T Technology (General)
spellingShingle T Technology (General)
Murshiduzzaman, Murshiduzzaman
Saleh, Tanveer
Khan, Md. Raisuddin
Modular robotic platform for autonomous machining
description Product miniaturisation is one of the key aspects of modern manufacturing technology. One of the ways to fabricate miniaturised product is micromachining using sophisticated computer numerically controlled (CNC) machine tools. However, conventional CNC machines are bulky, stationary, and unable to carry out parallel operations. This research aims to develop a modular robotic platform which would be able to carry out machining operation in mesoscale. Hexapod robots are legged mobile robots which are used for verities of applications. Here, we have implemented a hexapod robotic platform to support and move the cutting tool (in this case, a drilling tool). The robot was controlled from the host computer through serial communication. A graphical user interface (GUI) was designed and implemented to operate the robot and the drilling spindle. Several machining operations were carried out with the system to assess its performance. An innovative compensation algorithm has been proposed to improve the positional accuracy of the robot movement. The proposed algorithm takes into account spindle speed and linear velocity to mitigate the positional error. The positional accuracy was improved bymore than 60%after implementing the error compensation scheme. In this research we managed to achieve sub-10 μm repeatability (≤ 10 μm) at the lowest spindle and point to point linear speed of 2500 RPM and 200 mm/min, respectively. The performance (in terms of positional accuracy) of the robot was also compared with that of an existing commercial micromachining system where the robot was found to be almost ~ 2× time poorer to that of the commercial machine. Finally, the machined holes’ quality was measured in terms of circularity and taperness. It was observed that at the best machining parameters circularity deviation was as low as 29.4 μm while taperness was 0.54 degree.
format Article
author Murshiduzzaman, Murshiduzzaman
Saleh, Tanveer
Khan, Md. Raisuddin
author_facet Murshiduzzaman, Murshiduzzaman
Saleh, Tanveer
Khan, Md. Raisuddin
author_sort Murshiduzzaman, Murshiduzzaman
title Modular robotic platform for autonomous machining
title_short Modular robotic platform for autonomous machining
title_full Modular robotic platform for autonomous machining
title_fullStr Modular robotic platform for autonomous machining
title_full_unstemmed Modular robotic platform for autonomous machining
title_sort modular robotic platform for autonomous machining
publisher Springer London
publishDate 2019
url http://irep.iium.edu.my/76101/
http://irep.iium.edu.my/76101/
http://irep.iium.edu.my/76101/
http://irep.iium.edu.my/76101/1/IJAMT_Robot.pdf
http://irep.iium.edu.my/76101/7/76101_Modular%20robotic%20platform%20for%20autonomous%20machining_Scopus.pdf
first_indexed 2023-09-18T21:47:35Z
last_indexed 2023-09-18T21:47:35Z
_version_ 1777413553244864512