Metallurgy, Vol. 56 No. 3-4, 2017.
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
Publication date:
1.7.2017.
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