LAPSE:2023.26562
Published Article
LAPSE:2023.26562
Modeling and Evaluation of Energy Efficiency of New Hybrid Turning-Burnishing Process in Terms of Surface Properties
April 3, 2023
The combination of the turning and burnishing process is an efficient approach to improve machined quality and productivity. This paper aims to optimize energy efficiency (EF), improved hardness ratio (IHR), and decreased roughness ratio (DRR) of a new hybrid turning-burnishing process. The machining parameters are the feed rate (f), turning speed (v), depth of cut (a), burnishing pressure (p), and the diameter of the compressing ball (d). A new turning-burnishing tool using compressed air has been designed and fabricated. A set of experiments for Aluminum Alloy 5083 were performed using the Taguchi method. The weightage principal component analysis (WPCA) and Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS) were applied to obtain the weight values and optimal outcomes. The results indicated that optimum values of the depth of cut, pressure, diameter, feed rate, and speed are 1.00 mm, 0.4 MPa, 16.00 mm, 0.084 mm/rev, and 120 m/min, respectively. The improvements in the EF and IHR are by 20.75% and 8.23% respectively, while the DDR is decreased by 19.05%, as compared to common values.
Keywords
decreased roughness, Energy Efficiency, hybrid turning-burnishing, improved hardness, Optimization, TOPSIS
Suggested Citation
Nguyen TT, Mia M. Modeling and Evaluation of Energy Efficiency of New Hybrid Turning-Burnishing Process in Terms of Surface Properties. (2023). LAPSE:2023.26562
Author Affiliations
Nguyen TT: Department of Manufacturing Technology, Le Quy Don Technical University, 236 Hoang Quoc Viet, Ha Noi 100000, Vietnam [ORCID]
Mia M: Department of Mechanical Engineering, Imperial College London, Exhibition Road, South Kensington, London SW7 2AZ, UK [ORCID]
Journal Name
Energies
Volume
13
Issue
18
Article Number
E4929
Year
2020
Publication Date
2020-09-20
Published Version
ISSN
1996-1073
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Original Submission
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PII: en13184929, Publication Type: Journal Article
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LAPSE:2023.26562
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doi:10.3390/en13184929
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Apr 3, 2023
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