Abstract:Dry high speed machining has been proposed as a viable and cost-effective process in metal cutting industries. However, it produces fine and ultra-fine metallic particles, also referred to as dust, which can be harmful to the machine-tool operator. The risk associated with exposure to metallic particles increases as the particle size decreases. For machining processes, little data exist on the size and distribution of dust generated during the shaping of materials. In order to reduce or eliminate the generatio… Show more
“…Experimental studies have shown that dry aerosols generated during metal machining depend on the workpiece material and its conditions, as well as on the cutting parameters (Ref 21,28,29) and the tool geometry (Ref 30,31) used.…”
Section: Introductionmentioning
confidence: 99%
“…To the authorsÕ knowledge, the literature contains only limited models for predicting particle emissions during machining processes (Ref 27,30,31). Zipf and Bieniawski (Ref 32) proposed a phenomenological interpretation for fine particle emission, but only during coal machining, thus making it inapplicable to metals.…”
Section: Introductionmentioning
confidence: 99%
“…For metallic particles generated during machining processes, cutting conditions (cutting speed, depth of cut, and feed rate), tool geometry (rake angle and lead angle), and workpiece material, have been found to be influential factors (Ref 30,31). They also have an impact on the cutting process itself, especially on the shearing of metal, on the friction, and on the plastic deformation.…”
Section: Introductionmentioning
confidence: 99%
“…While simple and very convenient, this model was, however, validated only on medium-density fiberboard materials. Further, it fails to recognize the behavior of ductile materials on particles emission, which presents a decreasing zone beyond a certain cutting speed (Ref 21,(27)(28)(29)(30)(31).…”
Section: Introductionmentioning
confidence: 99%
“…Recent experimental studies performed by Khettabi et al (Ref 30,31) showed the major effects of different cutting parameters, tool geometries, and workpiece materials on metallic particle generation during the machining of metallic materials. Zaghbani et al (Ref 27) proposed a semi-predictive model for fine metallic particle generation during high-speed milling using the energy created in the primary chip deformation zone and the measured cutting forces data.…”
Because of the risks associated with exposure to metallic particles, efforts are being put into controlling and reducing them during the metal working process. Recent studies by the authors involved in this project have presented the effects of cutting speeds, workpiece material, and tool geometry on particle emission during dry machining; the authors have also proposed a new parameter, named the dust unit (D u ), for use in evaluating the quantity of particle emissions relative to the quantity of chips produced during a machining operation. In this study, a model for predicting the particle emission (dust unit) during orthogonal turning is proposed. This model, which is based on the energy approach combined with the microfriction and the plastic deformation of the material, takes into account the tool geometry, the properties of the worked material, the cutting conditions, and the chip segmentation. The model is validated using experimental results obtained during the orthogonal turning of 6061-T6 aluminum alloy, AISI 1018, AISI 4140 steels, and grey cast iron. A good agreement was found with experimental results. This model can help in designing strategies for reducing particle emission during machining processes, at the source.
“…Experimental studies have shown that dry aerosols generated during metal machining depend on the workpiece material and its conditions, as well as on the cutting parameters (Ref 21,28,29) and the tool geometry (Ref 30,31) used.…”
Section: Introductionmentioning
confidence: 99%
“…To the authorsÕ knowledge, the literature contains only limited models for predicting particle emissions during machining processes (Ref 27,30,31). Zipf and Bieniawski (Ref 32) proposed a phenomenological interpretation for fine particle emission, but only during coal machining, thus making it inapplicable to metals.…”
Section: Introductionmentioning
confidence: 99%
“…For metallic particles generated during machining processes, cutting conditions (cutting speed, depth of cut, and feed rate), tool geometry (rake angle and lead angle), and workpiece material, have been found to be influential factors (Ref 30,31). They also have an impact on the cutting process itself, especially on the shearing of metal, on the friction, and on the plastic deformation.…”
Section: Introductionmentioning
confidence: 99%
“…While simple and very convenient, this model was, however, validated only on medium-density fiberboard materials. Further, it fails to recognize the behavior of ductile materials on particles emission, which presents a decreasing zone beyond a certain cutting speed (Ref 21,(27)(28)(29)(30)(31).…”
Section: Introductionmentioning
confidence: 99%
“…Recent experimental studies performed by Khettabi et al (Ref 30,31) showed the major effects of different cutting parameters, tool geometries, and workpiece materials on metallic particle generation during the machining of metallic materials. Zaghbani et al (Ref 27) proposed a semi-predictive model for fine metallic particle generation during high-speed milling using the energy created in the primary chip deformation zone and the measured cutting forces data.…”
Because of the risks associated with exposure to metallic particles, efforts are being put into controlling and reducing them during the metal working process. Recent studies by the authors involved in this project have presented the effects of cutting speeds, workpiece material, and tool geometry on particle emission during dry machining; the authors have also proposed a new parameter, named the dust unit (D u ), for use in evaluating the quantity of particle emissions relative to the quantity of chips produced during a machining operation. In this study, a model for predicting the particle emission (dust unit) during orthogonal turning is proposed. This model, which is based on the energy approach combined with the microfriction and the plastic deformation of the material, takes into account the tool geometry, the properties of the worked material, the cutting conditions, and the chip segmentation. The model is validated using experimental results obtained during the orthogonal turning of 6061-T6 aluminum alloy, AISI 1018, AISI 4140 steels, and grey cast iron. A good agreement was found with experimental results. This model can help in designing strategies for reducing particle emission during machining processes, at the source.
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