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Prediction of Secondary Dendrite Arm Spacing in Squeeze Casting Using Fuzzy Logic Based Approaches

M.G.C. Patel P. Krishna M.B. Parappagoudar
Archives of Foundry Engineering | 2015 | No 1 | DOI: 10.1515/afe-2015-0011
Keywords Squeeze casting process fuzzy logic Secondary dendrite arm spacing Adaptive network based fuzzy interface system(ANFIS)
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Abstract

The quality of the squeeze castings is significantly affected by secondary dendrite arm spacing, which is influenced by squeeze cast input

parameters. The relationships of secondary dendrite arm spacing with the input parameters, namely time delay, pressure duration, squeeze

pressure, pouring and die temperatures are complex in nature. The present research work focuses on the development of input-output

relationships using fuzzy logic approach. In fuzzy logic approach, squeeze cast process variables are expressed as a function of input

parameters and secondary dendrite arm spacing is expressed as an output parameter. It is important to note that two fuzzy logic based

approaches have been developed for the said problem. The first approach deals with the manually constructed mamdani based fuzzy

system and the second approach deals with automatic evolution of the Takagi and Sugeno’s fuzzy system. It is important to note that the

performance of the developed models is tested for both linear and non-linear type membership functions. In addition the developed models

were compared with the ten test cases which are different from those of training data. The developed fuzzy systems eliminates the need of

a number of trials in selection of most influential squeeze cast process parameters. This will reduce time and cost of trial experimentations.

The results showed that, all the developed models can be effectively used for making prediction. Further, the present research work will

help foundrymen to select parameters in squeeze casting to obtain the desired quality casting without much of time and resource

consuming.

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Authors and Affiliations

M.G.C. Patel
P. Krishna
M.B. Parappagoudar

Modeling and Optimization of Phenol Formaldehyde Resin Sand Mould System

M.G.C. Patel M.B. Parappagoudar G.R. Chate A.S. Deshpande
Archives of Foundry Engineering | 2017 | vol. 17 | No 2 | DOI: 10.1515/afe-2017-0069
Keywords design of experiments Phenol formaldehyde resin Permeability Mould hardness Desirability function approach
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Abstract

Chemical bonded resin sand mould system has high dimensional accuracy, surface finish and sand mould properties compared to green

sand mould system. The mould cavity prepared under chemical bonded sand mould system must produce sufficient permeability and

hardness to withstand sand drop while pouring molten metal through ladle. The demand for improved values of permeability and mould

hardness depends on systematic study and analysis of influencing variables namely grain fineness number, setting time, percent of resin

and hardener. Try-error experiment methods and analysis were considered impractical in actual foundry practice due to the associated cost.

Experimental matrices of central composite design allow conducting minimum experiments that provide complete insight of the process.

Statistical significance of influencing variables and their interaction were determined to control the process. Analysis of variance

(ANOVA) test was conducted to validate the model statistically. Mathematical equation was derived separately for mould hardness and

permeability, which are expressed as a non-linear function of input variables based on the collected experimental input-output data. The

developed model prediction accuracy for practical usefulness was tested with 10 random experimental conditions. The decision variables

for higher mould hardness and permeability were determined using desirability function approach. The prediction results were found to be

consistent with experimental values.

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Authors and Affiliations

M.G.C. Patel
M.B. Parappagoudar
G.R. Chate
A.S. Deshpande

Free Vibration Analysis of A357 Alloy Reinforced with Dual Particle Size Silicon Carbide Metal Matrix Composite Plates Using Finite Element Method

A. Lakshmikanthan V. Mahesh R.T. Prabhu M.G.C. Patel S. Bontha
Archives of Foundry Engineering | 2021 | vo. 21 | No 1 | 101-112 | DOI: 10.24425/afe.2021.136085
Keywords Finite element method First order shear deformation theory (FSDT) A357 alloy Hamilton’s principle A357/DPS-SiC Composites
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Abstract

In this work, the free vibration behaviour of A357 composite plate reinforced with dual particle size (DPS) (3 wt.% coarse + 3 wt.% fine, 4 wt.% coarse + 2 wt.% fine, and 2 wt.% coarse + 4 wt.% fine) SiC is evaluated using the finite element method. To this end, first-order shear deformation theory (FSDT) has been used. The equations of motion have been derived using Hamilton’s principle and the solution has been obtained through condensation technique. A thorough parametric study was conducted to understand the effect of reinforcement size and weight fraction, boundary conditions, aspect ratio and length-to-width ratio of plate geometry on natural frequencies of A357/DPS-SiC composite plates. Results reveal significant influence of all the above variables on natural frequency of the composite plates. In all the cases, A357 composite plate reinforced with 4 wt.% coarse and 2 wt.% fine SiC particles displayed the highest natural frequency owing to its higher elastic and rigidity modulus. Further, the natural frequencies increase with decrease in aspect ratio of the plate geometry. Natural frequency also decreases with increase in the number of free edges. Lastly, increasing the length-to-width ratio drastically improves the natural frequency of the plates.
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Authors and Affiliations

A. Lakshmikanthan
1 2
V. Mahesh
3
ORCID: ORCID
R.T. Prabhu
4
M.G.C. Patel
5
S. Bontha
  1. Department of Mechanical Engineering, National Institute of Technology Karnataka, Surathkal, Mangalore-575025, Karnataka, India
  2. Department of Mechanical Engineering, Nitte Meenakshi Institute of Technology, Bangalore, India-560064
  3. Nonlinear Multifunctional Composites Analysis and Design (NMCAD) Laboratory, Department of Aerospace Engineering, Indian Institute of Science, Bangalore, India-560012
  4. CEMILAC, Defence R&D Organisation, Bangalore, India-560093
  5. Department of Mechanical Engineering, PES Institute of Technology and Management, Shivamogga, India-577204

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