Experimental Investigation on Micro Milling of Polyester/Halloysite Nano-Clay Nanocomposites

Fu, Guoyu; Huo, Dehong; Shyha, Islam; Pancholi, Ketan; Saharudin, Mohd Shahneel

doi:10.3390/nano9070917

Cited by 7 publications

(4 citation statements)

References 51 publications

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“…The machining behavior of such a kind of polymeric material is less explored in previous works. The effect of process parameters and the obtained results show a similar trend[74][75][76][77]. Also, the present work demonstrates a significant improvement in the machining responses with acceptable errors in the results.…”

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confidence: 80%

Archive of Mechanical Engineering

Kharwar

Verma

Mandal

et al. 2020

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In manufacturing industries, the selection of machine parameters is a very complicated task in a time-bound manner. The process parameters play a primary role in confirming the quality, low cost of manufacturing, high productivity, and provide the source for sustainable machining. This paper explores the milling behavior of MWCNT/epoxy nanocomposites to attain the parametric conditions having lower surface roughness (Ra) and higher materials removal rate (MRR). Milling is considered as an indispensable process employed to acquire highly accurate and precise slots. Particle swarm optimization (PSO) is very trendy among the nature-stimulated metaheuristic method used for the optimization of varying constraints. This article uses the non-dominated PSO algorithm to optimize the milling parameters, namely, MWCNT weight% (Wt.), spindle speed (N ), feed rate (F), and depth of cut (D). The first setting confirmatory test demonstrates the value of Ra and MRR that are found as 1.62 µm and 5.69 mm 3 /min, respectively and for the second set, the obtained values of Ra and MRR are 3.74 µm and 22.83 mm 3 /min respectively. The Pareto set allows the manufacturer to determine the optimal setting depending on their application need. The outcomes of the proposed algorithm offer new criteria to control the milling parameters for high efficiency.

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supporting

confidence: 80%

Archive of Mechanical Engineering

Kharwar

Verma

Mandal

et al. 2020

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“…In recent years, demand for microparts and components has increased in different industrial sectors. Examples of such parts include, but are not limited to, the following: connectors, diagnostic devices, microreactors, medical implants, microengines, switches, micropumps drug delivery systems, and printing heads [5][6][7][8][9]. Fabrication of small parts requires more reliable, precise, and repeatable methods, with a precise tooling system.…”

Section: Introductionmentioning

confidence: 99%

Effect of Tool Coating and Cutting Parameters on Surface Roughness and Burr Formation during Micromilling of Inconel 718

Atif

Gupta

Mikołajczyk

et al. 2021

Metals

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Surface roughness and burr formation are among the most important surface quality metrics which determine the quality of the fabricated parts. High precision machined microparts with complex features require micromachining process to achieve the desired yet stringent surface finish and dimensional accuracy. In this research, the effect of cutting speed (m/min), feed rate (µm/tooth), depth of cut (µm) and three types of tool coating (AlTiN, nACo and TiSiN) were analyzed to study their effect on surface roughness and burr formation during the micromachining of Inconel 718. The analysis was carried out using an optical profilometer, scanning electron microscope and statistical technique. Machining tests were performed at low speed with a feed rate (µm/tooth) below the cutting-edge radius for 10 mm cutting length using a carbide tool of 0.5 mm diameter on a CNC milling machine. From this research, it was determined that the depth of cut was the main factor affecting burr formation, while cutting velocity was the main factor affecting the surface roughness. In addition, cutting tool coating did not significantly affect either surface roughness or burr formation due to the difference in coefficient of friction. The types of burr formed during micromilling of Inconel 718 were mainly influenced by the depth of cut and feed rate (µm/tooth) and were not affected by the cutting velocity. It was also concluded that the results for the surface finish at low-speed machining are comparable to that of transition and high-speed machining, while the burr width found during confirmation experiments at low-speed machining was also within an acceptable range.

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“…Understanding the tribological properties of nanocomposites can inform decisions about their use in applications such as bearings and gears. Finally, modelling and simulation can be used to predict the performance of nanocomposites under a range of conditions [12]. This can help to identify areas for improvement and optimize the properties of nanocomposites for specific applications.…”

Section: Opportunitiesmentioning

confidence: 99%