hrcak mascot   Srce   HID

Izvorni znanstveni članak

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: 342* citiraj
APA 6th Edition
Zeelanbasha, N., Senthil, V., Sharon Sylvester, B. i Balamurugan, N. (2017). Modeling and experimental investigation of LM26 pressure die cast process parameters using multi objective genetic algorithm (MOGA). Metalurgija, 56 (3-4), 307-310. Preuzeto s https://hrcak.srce.hr/180969
MLA 8th Edition
Zeelanbasha, N., et al. "Modeling and experimental investigation of LM26 pressure die cast process parameters using multi objective genetic algorithm (MOGA)." Metalurgija, vol. 56, br. 3-4, 2017, str. 307-310. https://hrcak.srce.hr/180969. Citirano 01.04.2020.
Chicago 17th Edition
Zeelanbasha, N., V. Senthil, B. Sharon Sylvester i N. Balamurugan. "Modeling and experimental investigation of LM26 pressure die cast process parameters using multi objective genetic algorithm (MOGA)." Metalurgija 56, br. 3-4 (2017): 307-310. https://hrcak.srce.hr/180969
Harvard
Zeelanbasha, N., et al. (2017). 'Modeling and experimental investigation of LM26 pressure die cast process parameters using multi objective genetic algorithm (MOGA)', Metalurgija, 56(3-4), str. 307-310. Preuzeto s: https://hrcak.srce.hr/180969 (Datum pristupa: 01.04.2020.)
Vancouver
Zeelanbasha N, Senthil V, Sharon Sylvester B, Balamurugan N. Modeling and experimental investigation of LM26 pressure die cast process parameters using multi objective genetic algorithm (MOGA). Metalurgija [Internet]. 2017 [pristupljeno 01.04.2020.];56(3-4):307-310. Dostupno na: https://hrcak.srce.hr/180969
IEEE
N. Zeelanbasha, V. Senthil, B. Sharon Sylvester i N. Balamurugan, "Modeling and experimental investigation of LM26 pressure die cast process parameters using multi objective genetic algorithm (MOGA)", Metalurgija, vol.56, br. 3-4, str. 307-310, 2017. [Online]. Dostupno na: https://hrcak.srce.hr/180969. [Citirano: 01.04.2020.]

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

Posjeta: 481 *