Modelling of End Milling of AA6061-TiCp Metal Matrix Composite

International Conference on Recent Advances in Materials, Mechanical and Civil Engineering

材料科学;机械制造;土木建筑工程

Vijay Kumar, S.^1 ; Cheepu, Muralimohan^2 ; Venkateswarlu, D.^3 ; Asohan, P.^1 ; Senthil Kumar, V.^1

Department of Production Engineering, National Institute of Technology Tiruchirappalli, Tamil Nadu

620015, India^1

Department of Mechatronics Engineering, Kyungsung University, Busan

48434, Korea, Republic of^2

Department of Mechanical Engineering, Marri Laxman Reddy Institute of Technology and Management, Telangana

500043, India^3

关键词: Ceramic reinforcements;    CNC milling machine;    Computerised numerical control;    Cutting forces;    Full factorial design;    In-situ techniques;    Statistical modelling;    Surface roughness (Ra);   

Others  :  https://iopscience.iop.org/article/10.1088/1757-899X/330/1/012063/pdf
DOI  :  10.1088/1757-899X/330/1/012063

来源: IOP

【 摘 要 】

The metal-matrix composites (MMCs) are used in various applications hence lot of research has been carried out on MMCs. To increase the properties of Albased MMCs many ceramic reinforcements have been identified, among which TiC is played vital role because of its properties like high hardness, stiffness and wear resistance. In the present work, a neural network and statistical modelling approach is going to use for the prediction of surface roughness (Ra) and cutting forces in computerised numerical control milling machine. Experiments conducted on a CNC milling machine based on the full factorial design and resulted data used to train and checking the network performance. The sample prepared from in-situ technique and heat treated to get uniform properties. The ANN model has shown satisfactory performance comparatively.