Material Modeling of Particle Reinforced In Metal Matrix Composite
M. Sundarraj1, M. Meikandan2
1M.Sundarraj, Department of Mechanical Engineering, Veltech Rangarajan Dr. Sgunthala R&D Institute of Science and Technology, Avadi, India
2M.Meikandan, Department of Mechanical Engineering, Veltech Rangarajan Dr. Sgunthala R&D Institute of Science and Technology, Avadi, India
Manuscript received on 29 August 2019. | Revised Manuscript received on 09 September 2019. | Manuscript published on 30 September 2019. | PP: 661-664 | Volume-8 Issue-11, September 2019. | Retrieval Number: K17070981119/2019©BEIESP | DOI: 10.35940/ijitee.K1707.0881119
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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 FEA model of particulate reinforced metal matrix composite which will be used for material optimization application. A particle distribution method will be introduced to get a random pattern of particles reinforcement model in the metal matrix FEA model. A FEA model of particle metal matrix composite that allows to vary particle distribution and the model is developed in ANSYS commercial FEA code .The particle distribution pattern is generated using sphere packing method for a given percentage of particulate mixture ratio. The effect of particle concentration and distribution and its mechanical behavior and metal matrix can be Analyzed and studied in this model. This model will be useful in optimizing the particle metal matrix against a given mechanical behavior or performance required for the variation of percentage in particle mixture ratio, particle grain size, particle material and matrix material.
Keywords: FEA Code; Particle Distribution Pattern; Metal Matrix Composite; Particulate Mixture Ratio.
Scope of the Article: Composite Materials