Advancements in CNC Machine System for Enhanced Part Development

Retaish Mahajan; Dr. Sachin Saini; Er. Ajay Singh Rana

doi:10.55524/ijirem.2023.10.3.25

Abstract

This paper presents a comprehensive study on the part development of Aluminium-Silicon Carbide (AlSiC) Particle Metal Matrix Composite (MMC) using Computer Numerical Control (CNC) machining. AlSiC MMCs have gained significant attention due to their excellent mechanical properties and thermal conductivity, making them suitable for various applications in industries such as aerospace, automotive, and electronics. The objective of this research is to investigate the effects of CNC machining parameters, such as cutting speed, feed rate, and depth of cut, on the machinability and surface quality of AlSiC MMC parts. Additionally, the paper aims to optimize the CNC machining process to enhance the performance and dimensional accuracy of the machined parts.

Keywords

Aluminium- Silicon Carbide (AlSiC) Particles , Metal Matrix Composite (MMC) , Computer Numerical Control (CNC) Machines, Design of Experiments (DOE) etc.

Reference

Zhang L, Ma Y, Huang H, Zhang X (2020). Prediction and optimization of surface roughness in milling process using a hybrid machine learning approach.
Chen L, Fu L, Zhang X, Gao X (2019). Experimental investigation and optimization of machining parameters for Al-SiC metal matrix composites.
Li X, Feng P, Chen M, Xu K, Wang Y (2018). Experimental study on drilling performance of carbon fiber-reinforced polymer (CFRP) composites.
Zhang Y, Shao X, Fan K, Jiao L (2017). Tool wear and surface integrity in high-speed milling of carbon fiber-reinforced plastics (CFRPs).
Yu Z, Zhang M, Chen Z, Li Q (2016). Tool life prediction and wear mechanism of polycrystalline diamond (PCD) tool in cutting CFRP.
Rahman M, Mia M, Choudhury IA (2015). Modeling and optimization of surface roughness in end milling of Al/SiCp metal matrix composites.
Xie Y, Liao W, Li Y, Yang B (2014). Investigation on cutting forces and tool wear in machining of carbon fiber-reinforced plastics (CFRPs).
Bhushan RK (2013). Multiresponse optimization of Al alloy-SiC composite machining parameters for minimum tool wear and maximum metal removal rate.
Bhushan RK (2013). Optimization of cutting parameters for minimizing power consumption and maximizing tool life during machining of Al alloy SiC particle composites.
Arif, M, Rahman M, San WY (2012). Analytical model to determine the critical conditions for the modes of material removal in the milling process.
Behera R, Das S, Chatterjee D, Sutradhar G (2011). Study on minerals and materials characterization and engineering.
Basheer AC, Dabade UA, Joshi SS, Bhanuprasad VV, Gadre VM (2008). Modeling of surface roughness in precision machining of metal matrix composites using ANN.
Basavarajappa S, Chandramohan G, Davim JP (2008). Studies on drilling of hybrid metal matrix composites based on Taguchi techniques.
Ciftci I, Turker M, Seker U (2004). Evaluation of tool wear when machining SiC-reinforced Al-2014 alloy matrix composites.
Benardos PG and Vosniakos GC (2002). Prediction of surface roughness in CNC face milling using neural network and Taguchi design of experiments.
Andrewes C, Feng H, Lau WM (2000) Machining of an aluminum-SiC composite using diamond inserts. Journal of Materials Processing Technology 102: 25–29.
Arif, M, Rahman M, San WY (2012) Analytical model to determine the critical conditions for the modes of material removal in the milling process of brittle material. Journal of Materials Processing Technology 212: 1925-1933.
Basavarajappa S, Chandramohan G, Davim JP (2008)Some studies on drilling of hybrid metal matrix composites based on Taguchi techniques. Journal of Material Processing Technology 196(1-3): 332-338.
Basheer AC, Dabade UA, Joshi SS, Bhanuprasad VV, Gadre VM (2008) Modeling of surface roughness in precision machining of metal matrix composites using ANN. Journal of Materials Processing Technology 197: 439–444.
Behera R, Das S, Chatterjee D, Sutradhar G (2011) Journal of Minerals & Materials Characterization & Engineering 10(10): 923-939.
Benardos PG and Vosniakos GC (2002) Prediction of surface roughness in CNC face milling using neural network and Taguchi Design of experiments. Robotics and Computer Integrated Manufacturing 18: 343-354.
Bhushan RK (2013) Multiresponse optimization of Al alloy-SiC composite machining parameters for minimum tool wear and maximum metal removal rate. Journal of Material Science and Engineering 135: 021013-1.
Bhushan RK (2013) Optimization of cutting parameters for minimizing power consumption and maximizing tool life during machining of Al alloy SiC particle composites. Journal of Cleaner Production 39: 242-254.
Bhushan RK, Kumar S, Das S (2010) Effect of machining parameters on surface roughness and tool wear for 7075 Al alloy SiC composite. . International Journal of Advanced Manufacturing Technology 50: 459-469.

Cites this article as

[Retaish Mahajan, Dr. Sachin Saini, Er. Ajay Singh Rana (2023), Advancements in CNC Machine System for Enhanced Part Development, International Journal of Innovative Research in Engineering & Management (IJIREM), Vol-10, Issue-3, Page No-164-181], (ISSN 2347 - 5552). www.ijirem.org