26–27 Nov 2026
University of Stavanger, Norway
Europe/Oslo timezone

Optimization and Minimization of Surface Roughness and Temperature during the milling of Aluminium LM26 reinforced MWCNT Using RSM and DFA

Not scheduled
20m
KE E-102 (University of Stavanger, Norway)

KE E-102

University of Stavanger, Norway

Speaker

Dr Endalkachew Mosisa (Wollega University)

Description

Castable aluminum-silicon alloy LM26 is widely used in applications requiring high wear resistance, low thermal expansion, and excellent high-temperature strength. This study investigates the sustainable machining performance of LM26 reinforced with multi-wall carbon nanotubes (MWCNTs) at weight fractions of 0.25%, 0.5%, and 0.75%. Composites were fabricated through stir casting at 700°C and 650 rpm. Experimental design was developed using the Central Composite Design (CCD) method, and quadratic models were generated using Design-Expert V13 software.
Surface roughness (Ra) and machining temperature (T) were evaluated during milling by varying spindle speed, feed rate, depth of cut, and MWCNT content. Analysis of variance (ANOVA) was employed to determine the significance of machining parameters. Results revealed that spindle speed significantly influenced Ra, feed rate affected temperature, and MWCNT content was the dominant factor influencing surface quality. The addition of 0.25 wt.% MWCNT improved machinability, whereas higher reinforcement levels increased both temperature and surface roughness. Multi-response desirability analysis identified the optimum machining conditions as 2500 m/min spindle speed, 0.04 mm/rev feed rate, 0.5 mm depth of cut, and 0.25 wt.% MWCNT. Under these conditions, Ra and temperature were 1.357 µm and 30.293°C, respectively, achieving a desirability value of 1.0

Topic Area Design Optimization, Additive Manufacturing Technologies & Applications

Author

Dr Endalkachew Mosisa (Wollega University)

Co-author

Dr Mahesh Gopal (Wollega University)

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