2018
DOI: 10.1016/j.procir.2018.09.033
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Phenomenological study of chip flow/formation and unified cutting force modelling during Ti6Al4V alloy turning operations

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Cited by 4 publications
(4 citation statements)
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“…(1). This formulation displays convincing correlation with experimental tests in Chérif's study when the inclination angle is equal to zero Chérif et al (2018). Finally, the effect of the cutting speed is added to the model by multiplying f v and f h by a dimensionless term V c /V o raised to a certain power (n v and n h ) where V o = 52.5 m/min.…”
Section: Local Forces Model and Edge Discretisation Methodologymentioning
confidence: 55%
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“…(1). This formulation displays convincing correlation with experimental tests in Chérif's study when the inclination angle is equal to zero Chérif et al (2018). Finally, the effect of the cutting speed is added to the model by multiplying f v and f h by a dimensionless term V c /V o raised to a certain power (n v and n h ) where V o = 52.5 m/min.…”
Section: Local Forces Model and Edge Discretisation Methodologymentioning
confidence: 55%
“…So the global forces are expressed as A + B(t) where A is the cutting force level when the tool is fresh and B (t) represents the force increase due to wear over time. The f o component is untouched as chip flow direction is unaffected by tool wear according to experimental observations in similar conditions (Chérif et al (2018)). Considering constant lubrication conditions, cutting speed is the most influent process parameter on tool life followed by feed and depth of cut.…”
Section: Formulation Of the Modelmentioning
confidence: 73%
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“…The cutting forces variations are highly related with the chip formation procedures. 20 The adaptions of the cutting forces under different tool inclination angles when side milling the thin-walled workpieces are further investigated based on the chip formations by using the FE simulations. Here, the time-varying procedures of the chip formation under the condition of θ = 20° are given for ease of explanation (see Figure 11).…”
Section: Cutting Forces Adaption Based On Tool Inclination Anglementioning
confidence: 99%