Design and optimization of unit production cost for AWJ process on machining hybrid natural fibre composite material

International Journal of Lightweight Materials and Manufacture

A. Senthil Kumar¹  S.P. Jani²  M. Adam Khan³  A. Sujin Jose⁴ 

[1] Corresponding author.;Department of Mechanical Engineering, Marri Laxman Reddy Institute of Technology and Management, Hyderabad, 500043, India;Department of Mechanical Engineering, Sethu Institute of Technology, Virudhunagar, India;International Research Centre (IRC), Kalasalingam University, Krishnankoil, India;

关键词: Composite;    Filler;    Machining;    Parameters;    Optimization;    GA;   

DOI  :  

来源: DOAJ

【 摘 要 】

It is very difficult to handle composite material using cutting edge process. The surface defects, fibre – matrix delamination, fibre pullouts and bulk material removal are some of the common effects while machining composite material. To reduce such machining effects, an advanced machining processes are suggested for difficult to cut composite materials. In this research, a hybrid natural fibre composite material is developed inhouse to study the performance of machinability through abrasive water jet cutting process. The natural composite material is developed with two filler materials such as palm and coconut shell powder. During machining the water jet pressure, nozzle traverse speed and standoff distance are varied to predict the optimal process condition. Further the unit production cost for two different combination of material is optimized using a natural evolutionary based genetic algorithm. It was found that the unit production cost for 10 wt% filler reinforce natural fibre composite yields maximum production cost compared to 7.5 wt% filler material reinforcement for nearby machining process parameters. The variation in production cost is due to the influence of mechanical cum metallurgical quality, distribution and densification of filler material reinforced. The level of experiments is also validated using regression analysis.

【 授权许可】

Unknown