Fuzzy Logic Technique to Evaluation of Material Hardness, Specific Wear Resistance of Aluminium
Meenaakumari. M1, Sangeetha. M2, Subbulakshmi. K3
1Meenaakumari M, Assistant Professor, Department of Electronics and Communication Engineering, Bharath Institute of Higher Education and Research, Chennai (Tamil Nadu), India.
2Sangeetha M, Assistant Professor, Department of Electronics and Communication Engineering, Bharath Institute of Higher Education and Research, Chennai (Tamil Nadu), India.
3Subbulakshmi K, Assistant Professor, Department of Electronics and Communication Engineering, Bharath Institute of Higher Education and Research, Chennai (Tamil Nadu), India.
Manuscript received on 14 September 2019 | Revised Manuscript received on 23 September 2019 | Manuscript Published on 10 October 2019 | PP: 323-328 | Volume-8 Issue-6S2, August 2019 | Retrieval Number: F10870886S219/19©BEIESP | DOI: 10.35940/ijeat.F1087.0886S219
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: The composite material consists combination of materials which are having different physical and chemical properties. It consists of a base matrix which is the major component and reinforcements of different weight percentages. In this work a study on wear properties of Aluminium matrix which is reinforced with TiB2 and Cr2O3 is carried out. The Aluminium 7071 matrix is reinforced with 8% TiB2 and 4%, 6% of Cr2O3. The method used for manufacturing composite is stirr casting. The investigation of specific wear rate for the composite of different combinations is done using pin on disc method at various loads and velocity. The wear pattern is studied using scanning electron microscope image of worned surfaces. The wear rate is predicted using fuzzy model and compared with experimental values.
Keywords: Fuzzy, Annova, Analysis.
Scope of the Article: Fuzzy Logics