2018
DOI: 10.1051/mfreview/2018002
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Prediction of surface roughness and cutting force under MQL turning of AISI 4340 with nano fluid by using response surface methodology

Abstract: This paper presents an investigation into the minimum quantity lubrication mode with nano fluid during turning of alloy steel AISI 4340 work piece material with the objective of experimental model in order to predict surface roughness and cutting force and analyze effect of process parameters on machinability. Full factorial design matrix was used for experimental plan. According to design of experiment surface roughness and cutting force were measured. The relationship between the response variables and the p… Show more

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Cited by 8 publications
(5 citation statements)
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“…Certain adjustable parameters that influence response characteristics and also optimum processing conditions will indeed be considered [26]. The estimated values are controlled from bottom to top between allowed ranges, as per the tool manufacturer's catalogue.…”
Section: Predictive Mathematical Model For Surface Roughnessmentioning
confidence: 99%
“…Certain adjustable parameters that influence response characteristics and also optimum processing conditions will indeed be considered [26]. The estimated values are controlled from bottom to top between allowed ranges, as per the tool manufacturer's catalogue.…”
Section: Predictive Mathematical Model For Surface Roughnessmentioning
confidence: 99%
“…The jaws may be insulated to protect the work. Kistler Dynamometer is connected with A/D converter [95,96].…”
Section: Calculation Of Mwcntmentioning
confidence: 99%
“…Dry cutting is regarded as sustainable manufacturing; although, machining of hardened steel with high hardness, a higher temperature and difference in machined surface entail thermal pacification [53]. The axial depth of cutting reveals the utmost sway on cutting components of forces compared with the feed and rotational speed to attain the required quality with more attention on the appropriate choice of the operating parameters [54].…”
Section: Cutting Tool Surface Texturingmentioning
confidence: 99%
“…Kulkarni [54] The depth of cut shows the maximum cardinal impact on components of metal removal force as compared to the feed rate and cutting speed.…”
Section: Patole Andmentioning
confidence: 99%