Optimization of machining parameters in turning of Al-SiC-Gr hybrid metal matrix composites using grey-fuzzy algorithm
(1. School of Mechanical Engineering, Galgotias University, Greater Noida 201306, Uttar Pradesh, India;
2. Coimbatore Institute of Technology, Coimbatore 641014, Tamilnadu, India;
3. Saveetha School of Engineering, Saveetha University, Chennai-602105, Tamilnadu, India;
4. Sri Chandrasekharendra Saraswathi Viswa Maha Vidyalaya University, Kanchipuram 631561, India)
2. Coimbatore Institute of Technology, Coimbatore 641014, Tamilnadu, India;
3. Saveetha School of Engineering, Saveetha University, Chennai-602105, Tamilnadu, India;
4. Sri Chandrasekharendra Saraswathi Viswa Maha Vidyalaya University, Kanchipuram 631561, India)
Abstract: Metal matrix composites reinforced with graphite particles provide better machinability and tribological properties. The present study attempts to find the optimal level of machining parameters for multi-performance characteristics in turning of Al-SiC-Gr hybrid composites using grey-fuzzy algorithm. The hybrid composites with 5%, 7.5% and 10% combined equal mass fraction of SiC-Gr particles were used for the study and their corresponding tensile strength values are 170, 210, 204 MPa respectively. Al-10%(SiC-Gr) hybrid composite provides better machinability when compared with composites with 5% and 7.5% of SiC-Gr. Grey-fuzzy logic approach offers improved grey-fuzzy reasoning grade and has less uncertainties in the output when compared with grey relational technique. The confirmatory test reveals an increase in grey-fuzzy reasoning grade from 0.619 to 0.891, which substantiates the improvement in multi-performance characteristics at the optimal level of process parameters setting.
Key words: hybrid composite; turning; optimization; grey-fuzzy algorithm