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;    Full factorial design;    In-situ techniques;    Properties of Al;    Statistical modelling;    Surface roughness (Ra);   

Others  :  https://iopscience.iop.org/article/10.1088/1757-899X/330/1/012080/pdf
DOI  :  10.1088/1757-899X/330/1/012080

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 Al-based 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.