Sustainability plays a crucial role in manufacturing industries for the production of components in terms of economic, social and environmental considerations. In the present work, aluminium alloy (Al 7075) based hybrid nanocomposites reinforced with boron carbide (B4C) (1.5 wt%) and fly ash (1.5 wt%) were developed. The machining investigation is carried out using electrical discharge machining (EDM) with a focus on sustainable production of components considering economic, environmental and social aspects. Face-centered central composite design (CCD) was adopted to conduct experiments using four EDM parameters such as voltage, current, pulse-on time and pulse-off time to ascertain the effects of three sustainable measures, viz., material removal rate (as economic aspect), power consumption (as environmental aspect) and surface roughness (as social aspect). Current and pulse-on-time found to be the dominating factors affecting the sustainable measures. The response surface methodology (RSM) models establish input–output relationships and the R-squared value of the developed full quadratic model is found to be more than 97.33% indicating better predictive capability. For the sustainable production of aluminium hybrid nanocomposites (Al-HNC), the process parameters were optimized simultaneously using two approaches. The optimized parameters are validated by confirmation experiments and show an error percentage less than 8.11%. The Pareto optimal fronts obtained from the genetic algorithm (GA) provide a different set of optimum cutting conditions for production of jobs with maximum material removal rate (MRR) or minimum power consumption (PC) fulfilling the desired value of surface roughness (SR). The proposed method is found to be easy to implement and very useful for shop floor applications.
|Journal||Journal of the Brazilian Society of Mechanical Sciences and Engineering|
|Publication status||Published - May 1 2018|
- Pareto optimal fronts
ASJC Scopus subject areas
- Mechanical Engineering