LAPSE:2023.32100
Published Article
LAPSE:2023.32100
Energy Efficient Parallel Configuration Based Six Degree of Freedom Machining Bed
Zareena Kausar, Muhammad Faizan Shah, Zeeshan Masood, Hafiz Zia Ur Rehman, Sardor Khaydarov, Muhammad Tallal Saeed, Omid Razmkhah, Haseeb Yaqoob
April 19, 2023
The process of material removal from a workpiece to obtain the desired shape is termed machining. Present-day material removal technologies have high spindle speeds and thus allow quick material removal. These high-speed spindles are highly exposed to vibrations and, as a result, the accuracy of the final workpiece’s dimensions is compromised. To overcome this problem, the motion of the tool is restricted, and multiple degrees of freedom are given through the motion of the workpiece in different axes. A machining bed configured as a parallel manipulator capable of giving six degrees of freedom (DOF) to the workpiece is proposed in this regard. However, the proposed six DOF machining bed should be energy efficient to avoid an increase in machining cost. The benefit of using the proposed configuration is a reduction in dimensional error and computational time which, as a result, reduces the energy utilization, vibrations, and machining time in practice. This paper presents kinematics, dynamics and energy efficiency models, and the development of the proposed configuration of the machining bed. The energy efficiency model is derived from the dynamics model. The models are verified in simulation and experimentally. To minimize error and computation time, a PID controller is also designed and tested in simulation as well as experimentally. The resulting energy efficiency is also analyzed. The results verify the efficacy of the proposed configuration of the machining bed, minimizing position error to 2% and reducing computation time by 27%, hence reducing the energy consumption and enhancing the energy efficiency by 60%.
Keywords
computation time, control, energy consumption, Energy Efficiency, error, inverse kinematics, machining bed, parallel manipulator, sustainable development
Suggested Citation
Kausar Z, Shah MF, Masood Z, Rehman HZU, Khaydarov S, Saeed MT, Razmkhah O, Yaqoob H. Energy Efficient Parallel Configuration Based Six Degree of Freedom Machining Bed. (2023). LAPSE:2023.32100
Author Affiliations
Kausar Z: Department of Mechatronics and Biomedical Engineering, Air University, Islamabad 44000, Pakistan
Shah MF: Department of Mechanical Engineering, Khwaja Fareed University of Engineering and IT, Rahim Yar Khan 64200, Pakistan
Masood Z: Department of Control Science and Engineering, School of Automation, Beijing Institute of Technology, Beijing 100081, China
Rehman HZU: Department of Mechatronics and Biomedical Engineering, Air University, Islamabad 44000, Pakistan [ORCID]
Khaydarov S: Innovative Educational Technologies, Andijan Machine Building Institute, Andizhan 170100, Uzbekistan
Saeed MT: Department of Mechatronics and Biomedical Engineering, Air University, Islamabad 44000, Pakistan; Department of Intelligent Systems and Control Engineering, School of Automation Science and Electrical Engineering, Beihang University, Beijing 100191, China [ORCID]
Razmkhah O: School of Mechanical, Aerospace and Automotive Engineering, Faculty of Engineering, Environmental and Computing, Coventry University, Coventry CV1 5FB, UK
Yaqoob H: Department of Mechanical Engineering, Khwaja Fareed University of Engineering and IT, Rahim Yar Khan 64200, Pakistan
Journal Name
Energies
Volume
14
Issue
9
First Page
2642
Year
2021
Publication Date
2021-05-05
Published Version
ISSN
1996-1073
Version Comments
Original Submission
Other Meta
PII: en14092642, Publication Type: Journal Article
Record Map
Published Article

LAPSE:2023.32100
This Record
External Link

doi:10.3390/en14092642
Publisher Version
Download
Files
Apr 19, 2023
Main Article
License
CC BY 4.0
Meta
Record Statistics
Record Views
85
Version History
[v1] (Original Submission)
Apr 19, 2023
 
Verified by curator on
Apr 19, 2023
This Version Number
v1
Citations
Most Recent
This Version
URL Here
https://psecommunity.org/LAPSE:2023.32100
 
Original Submitter
Auto Uploader for LAPSE
Links to Related Works
Directly Related to This Work
Publisher Version