Dry Machining and Minimum Quantity Lubrication

Weinert, Klaus; Inasaki, Ichiro; Sutherland, John W.; Wakabayashi, Toshiaki

doi:10.1016/s0007-8506(07)60027-4

Cited by 776 publications

(357 citation statements)

References 48 publications

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“…Thus, dry machining attracts great interest since it addresses current needs for environmentally friendly manufacturing as an appropriate alternative to conventional machining with flood cuttingfluid supply [9]. Mativenga and Rajemi [10] noted that dry machining compared favourably in reducing the energy footprint of machined products, since up to 9% of the total machining power is typically spent alone on pumping coolants.…”

Section: Introductionmentioning

confidence: 99%

Enhanced ultrasonically assisted turning of a β-titanium alloy

et al. 2013

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Section: Introductionmentioning

confidence: 99%

Enhanced ultrasonically assisted turning of a β-titanium alloy

et al. 2013

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“…Most of these costs are primarily due to environmental requirements: handling of cutting fluids as well as their disposal must obey the strict rules of environmental protections. Therefore, green manufacturing have become attractive to industries as an alternative to conventional machining with flood supply of cutting fluid (Weinert et al, 2004).…”

mentioning

confidence: 99%

Analysis of a free machining α+β titanium alloy using conventional and ultrasonically assisted turning

Muhammad

Hussain

Maurotto

et al. 2014

Journal of Materials Processing Technology

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• This is the author's version of a work that was accepted for publication in the Journal of Materials Processing Technology. Changes resulting from the publishing process, such as peer review, editing, corrections, structural formatting, and other quality control mechanisms may not be reflected in this document. Changes may have been made to this work since it was submitted for publication.A definitive version was subsequently pub- enhanced machinability generating short chips during metal cutting, which prevents entanglement with cutting tools improving productivity. To further enhance the machinability of this material, a novel hybrid machining technique called ultrasonically assisted turning (UAT) was used. Experimental investigations were carried out to study the machinability, chip shapes, cutting forces, temperature in the process zone and surface roughness for conventional and ultrasonically assisted turning of both alloys. UAT shows improved machinability with reduced nominal cutting forces, improved surface roughness of the machined workpiece and generation of shorter chips when compared to conventional machining conditions.

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“…MQL industrial applications are therefore appropriate for drill-hole lengths that are 4 times larger than the drill-hole diameter (4×D). In line with other authors (Hayajneh 2001;Weinert et al 2004) and for the purposes of the experimental tests described in this study, deep drilling will be therefore defined as any drill-hole length that is 4 times larger than the drill-hole diameter.…”

Section: Deep Drilling and Lubrication Systemsmentioning

confidence: 72%

A soft computing system using intelligent imputation strategies for roughness prediction in deep drilling

2010

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A soft computing system used to optimize deep drilling operations under high-speed conditions in the manufacture of steel components is presented. The input data includes cutting parameters and axial cutting force obtained from the power consumption of the feed motor of the milling centres. Two different coolant strategies are tested: traditional working fluid and Minimum Quantity Lubrication (MQL). The model is constructed in three phases. First, a new strategy is proposed to evaluate and complete the set of available measurements. The primary objective of this phase is to decide whether further drilling experiments are required to develop an accurate roughness prediction model. An important aspect of the proposed strategy is the imputation of missing data, which is used to fully exploit both complete and incomplete measurements. The proposed imputation algorithm is based on a genetic algorithm and aims to improve prediction accuracy. In the second phase, a bag of multilayer perceptrons is used to model the impact of deep drilling settings on borehole roughness. Finally, this model is supplied with the borehole dimensions, coolant option and expected axial force to develop a 3D surface showing the expected borehole roughness as a function of drilling process settings. This plot is the necessary output of the model for its use under real workshop conditions. The proposed system is capable of approximating the optimal model used to control deep drilling tasks on steel components for industrial use.

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Dry Machining and Minimum Quantity Lubrication

Cited by 776 publications

References 48 publications

Enhanced ultrasonically assisted turning of a β-titanium alloy

Enhanced ultrasonically assisted turning of a β-titanium alloy

Analysis of a free machining α+β titanium alloy using conventional and ultrasonically assisted turning

A soft computing system using intelligent imputation strategies for roughness prediction in deep drilling

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