Optimization and Prediction of Tribological Behaviour of Al-Fe-Si Alloy-Based Nanograin-Refined Composites Using Taguchi with Response Surface Methodology. (25th May 2022)
- Record Type:
- Journal Article
- Title:
- Optimization and Prediction of Tribological Behaviour of Al-Fe-Si Alloy-Based Nanograin-Refined Composites Using Taguchi with Response Surface Methodology. (25th May 2022)
- Main Title:
- Optimization and Prediction of Tribological Behaviour of Al-Fe-Si Alloy-Based Nanograin-Refined Composites Using Taguchi with Response Surface Methodology
- Authors:
- Balaji, S.
Maniarasan, P.
Alagarsamy, S. V.
Alswieleh, Abdullah M.
Mohanavel, V.
Ravichandran, M.
Jeon, Byong-Hun
Allasi, Haiter Lenin - Other Names:
- Ahmed Hiwa M. Academic Editor.
- Abstract:
- Abstract : Aluminium matrix composites (AMCs) are broadly used to change the monolithic materials in aviation, automotive, and defense industries owing to their superior characteristics such as specific strength with light weight, greater hardness, good wear resistance, and better thermal properties. This novel work was aimed at estimating the specific wear rate (SWR) of zirconium dioxide- (ZrO2 -) filled AA8011 (Al-Fe-Si alloy) matrix composites. A Taguchi method and response surface methodology (RSM) were used to find out the optimum range of control parameters on SWR of proposed composites. The stir casting technique was used to fabricate the composite specimens with varying proportions (5, 10, and 15 wt.%) of ZrO2 particle addition. The wear tests were performed as per L27 orthogonal design by using a pin-on-disk apparatus under dry conditions. For this test, four control parameters such as wt.% of ZrO2, load, disc velocity, and sliding distance each at three levels were selected. Based on the experimental results, 15 wt.% of ZrO2, 29.43 N of load, 0.94 m/s of disc velocity, and 1000 m of sliding distance provide the minimum SWR of the developed composite sample. ANOVA result revealed that the load (49.04%) was the primary dominant factor for affecting the SWR, followed by wt.% of ZrO2 content (29.24%), respectively. Moreover, scanning electron microscopy (SEM) analysis was performed to study the wear mechanism of worn-out surface of the composite test specimens.
- Is Part Of:
- Journal of nanomaterials. Volume 2022(2022)
- Journal:
- Journal of nanomaterials
- Issue:
- Volume 2022(2022)
- Issue Display:
- Volume 2022, Issue 2022 (2022)
- Year:
- 2022
- Volume:
- 2022
- Issue:
- 2022
- Issue Sort Value:
- 2022-2022-2022-0000
- Page Start:
- Page End:
- Publication Date:
- 2022-05-25
- Subjects:
- Nanostructured materials -- Periodicals
Nanotechnology -- Periodicals
Nanomatériaux
Nanostructured materials
Nanotechnology
Nanostructures
Nanotechnology
Periodicals
Fulltext
Internet Resources
Periodicals
620.115 - Journal URLs:
- https://www.hindawi.com/journals/jnm/ ↗
http://www.hindawi.com/GetJournal.aspx?journal=JNM ↗ - DOI:
- 10.1155/2022/9733264 ↗
- Languages:
- English
- ISSNs:
- 1687-4110
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library HMNTS - ELD Digital store
- Ingest File:
- 21854.xml