Modelling and Optimization of Cutting Forces and Tool Wear in Milling of Aerospace Al 6061(Sic) Composites
Ankush Kohli1, H. S. Bains2, Sumit Jain3
1Ankush Kohli, Research Scholar Mechanical Engineering, IKGPTU, Jalandhar, India.
2H. S. Bains, Dept. of Mechanical Engineering, PUSSGIRI, Hoshiarpur, India.
3Sumit Jain, Dept. of Mechanical Engineering, CTIEMT, Jalandhar, India.
Manuscript received on 19 October 2019 | Revised Manuscript received on 25 October 2019 | Manuscript Published on 29 June 2020 | PP: 53-59 | Volume-8 Issue-10S2 August 2019 | Retrieval Number: J100908810S19/2019©BEIESP | DOI: 10.35940/ijitee.J1009.08810S19
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open-access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: The aftereffects of modelling and the investigation of the aluminium (Al) and aluminium based (Al6061) silicon carbide reinforcement (SiCp) Metal matrix composite (MMCs) during milling is analysed. The impact of processing parameters, for example, speed, feed rate, depth of cut on tool wear and the cutting forces has been examined. The analysis of the cutting forces in the milling of Al and its MMC plays an important role in characterizing the cutting operations through the response surface methodology (RSM) forecast model. The predicted model used to decide the consolidated impact of machining parameters on the cutting forces (Cf) and tool Flank wear (Vbmax.). The consequences of the model were contrasted with the experimental results and observed that the effects of the forecast help in the evolution of process parameters to minimizing the Cf and Vbmax.
Keywords: Milling, Aluminium MMC, Cutting Forces and Tool Flank wear.
Scope of the Article: Waveform Optimization for Wireless Power Transfer