Original scientific paper

Modeling and experimental investigation of LM26 pressure die cast process parameters using multi objective genetic algorithm (MOGA)

N. Zeelanbasha ; Department of Mechanical Engineering, Coimbatore Institute of Technology, India
V. Senthil ; Department of Mechanical Engineering, Coimbatore Institute of Technology, India
B. Sharon Sylvester ; Department of Mechanical Engineering, Info Institute of Engineering, India
N. Balamurugan ; Department of Mechanical Engineering, Kumaraguru College of Technology, India

Abstract

This present investigation deals with pressure die casting process to produce an automotive valve closer component with better mechanical properties such as micro-hardness(HV), surface roughness (μm) and porosity (%) on LM26 by varying intensification pressure (α) Kgf/cm2, shot velocity (β) m/s and pouring temperature (γ) °C. Using response surface methodology (RSM), the optimal parametric combination is found to be α (186,68) Kgf/cm2, β (0,599) m/s and γ (662,93) °C for multi responses (121,18) HV, (0,93) μm and 0,017 % can be achieved corresponding to highest desirability of 0,73. The optimized results were obtained by the Pareto-optimal solutions using multi objective genetic algorithm (MOGA) provides flexibility to select the best setting depending on suitable applications.

Keywords

aluminium alloy; casting die, properties; mathematical model

Hrčak ID:

180969

URI

https://hrcak.srce.hr/180969

Publication date:

1.7.2017.

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