Production and Machining Performance Study of Nano Al2O3 Particle Reinforced LM25 Aluminum Alloy Composites

Production and Machining Performance Study of Nano Al2O3 Particle Reinforced LM25 Aluminum Alloy Composites

The purpose of this study is to prepare specimens of 10 and 20%(wt.) nano Al 2 O 3 particle reinforced LM25 metal matrix composites (MMCs) by stir casting. Another goal is to develop models using the response surface methodology (RSM) approach for predicting the surface roughness parameters and cutt...

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Bibliographic Details
Published in:Journal of applied mechanics and technical physics Vol. 60; no. 1; pp. 136 - 143
Main Author: Thankachan, T. P.
Format: Journal Article
Language:English
Published: Moscow Pleiades Publishing 2019
Springer Nature B.V
Subjects:
Aluminum base alloys
Aluminum oxide
Applications of Mathematics
Classical and Continuum Physics
Classical Mechanics
Cutting force
Cutting parameters
Cutting speed
Feed rate
Fluid- and Aerodynamics
Machining
Mathematical Modeling and Industrial Mathematics
Mathematical models
Mechanical Engineering
Metal matrix composites
Particulate composites
Physics
Physics and Astronomy
Response surface methodology
Surface roughness
Variance analysis
metal matrix composites (MMCs)
casting
mechanical properties
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Summary:The purpose of this study is to prepare specimens of 10 and 20%(wt.) nano Al 2 O 3 particle reinforced LM25 metal matrix composites (MMCs) by stir casting. Another goal is to develop models using the response surface methodology (RSM) approach for predicting the surface roughness parameters and cutting force components during machining of the MMCs by a CBN7020 tool. With the help of the model developed, comparisons of 10 and 20%(wt.) nano Al 2 O 3 particle reinforced LM25 MMCs are performed. Combined effects of three cutting parameters (cutting speed, feed rate, and depth of cut) on the surface roughness parameters and cutting force components are explored by using the analysis of variance (ANOVA). The resultant values of the parameters are found to agree well with available experimental values.
ISSN:0021-8944
1573-8620
DOI:10.1134/S0021894419010176