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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


Puni tekst: engleski pdf 304 Kb

str. 307-310

preuzimanja: 753

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Sažetak

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.

Ključne riječi

aluminium alloy; casting die, properties; mathematical model

Hrčak ID:

180969

URI

https://hrcak.srce.hr/180969

Datum izdavanja:

1.7.2017.

Posjeta: 1.229 *