Chenrayan, Venkatesh and Shahapurkar, Kiran and Manivannan, Chandru and Nadarajan, Sivakumar and Sungeetha, Akey and Murthy, Hanabe Chowdappa Ananda (2024) Machinability performance of bio-degradable hybrid nano-cutting fluid for sustainable manufacturing: analytical and soft computing modelling. International Journal of Advanced Manufacturing Technology, 135 (5-6). pp. 2607-2621. ISSN 0268-3768, DOI https://doi.org/10.1007/s00170-024-14647-9.
Full text not available from this repository.Abstract
The growing interest in sustaining the ecological system to drive out pollutants caused by product development is also a modern agenda in the manufacturing sector. This research focused on developing sustainable vegetable-based oil enriched with nano additives and experimented with its performance over the key machining objectives. Two different nanomaterials, such as molybdenum disulfide (MoS2), and copper (Cu), are infused in coconut oil in three different proportions. The zeta potential and FTIR results confirm the uniform dispersion and existence of the aforementioned particles in the coconut oil. The machining trails are executed to examine the functional effectiveness of the nano-cutting fluid against machining temperature, machining forces, surface roughness, and wear loss of the tool. The statistical and machine learning hybrid approach is employed to predict the set of optimal parameters along with the ideal cutting fluid and the significance of each parameter on the selected machining objectives. The experimental results annunciate that the nano-cutting fluid with a higher level of additives inclusion registers a better performance in enhancing the machining attributes than the lower level of additives inclusion, leaving severe disturbances to the machining attributes by the neat coconut oil. The results acknowledge the substantial depletion of machining tool tip temperature, machining force, surface roughness, and wear loss of the tool to the scale of 1.83, 2.03, 2.2, and 22.01 times that of results by neat coconut oil. The algorithm-based modelling subsequently manifests the cutting fluid as the key significant parameter followed by the cutting speed to decide the performance characteristics of responses. There is a good agreement between the hybrid analytical and soft computing modelling in predicting the ideal levels of machining parameters and cutting fluid. Experiment No. 16 executed with 80 m/min of machining speed, 10 m/min of feed rate, 1 mm of depth of cut, and in the presence of the coconut oil infused with Cu and MoS2 particles (both 0.375 vol.%) is found to be an ideal experiment in deciding the best performance of machining objectives.
| Item Type: | Article |
|---|---|
| Funders: | UNSPECIFIED |
| Uncontrolled Keywords: | Bio-degradable oil; Nano-additives; Machining temperature; Machining forces; Surface roughness; Tool wear; Sustainability |
| Subjects: | T Technology > TJ Mechanical engineering and machinery |
| Divisions: | Faculty of Engineering > Department of Mechanical Engineering |
| Depositing User: | Ms. Juhaida Abd Rahim |
| Date Deposited: | 17 Feb 2025 02:34 |
| Last Modified: | 17 Feb 2025 02:34 |
| URI: | http://eprints.um.edu.my/id/eprint/47414 |
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