The prediction of cutting force for boring process

Yussefian, N.Z.; Imani, Behnam Moetakef; El-Mounayri, Hazim

doi:10.1016/j.ijmachtools.2008.05.003

Cited by 37 publications

(25 citation statements)

References 13 publications

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“…3). When the tool does not vibrate the chip load can be found by considering two successive cutting edge locations [8]. It should be noted that four different chip configurations can be identified depending on the values of depth of cut (DOC), feed rate (c) and also the tool nose radius (r) [15].…”

Section: Kinematics Of Chip-load Formationmentioning

confidence: 99%

“…5. This is done by an analytic parametric curve intersection method; further details can be found in [8]. Once the chip boundaries have been determined, for any tool work-piece engagement condition the instantaneous chip load and cutting edge contact length can be computed by…”

Section: Kinematics Of Chip-load Formationmentioning

confidence: 99%

“…Budak and Ozlu [7] proposed a stability analysis model for boring and turning operations, but dynamic cutting force simulation was not taken into consideration. In a recent study, Yussefian et al [8] proposed a comprehensive model for simulating the mechanics of boring process. The model consists of a novel geometrical approach that employs B-spline curves to simulate the machining process.…”

Section: Introductionmentioning

confidence: 99%

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Dynamic simulation of boring process

Imani

Yussefian

2009

International Journal of Machine Tools and Manufacture

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Section: Kinematics Of Chip-load Formationmentioning

confidence: 99%

Section: Kinematics Of Chip-load Formationmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Dynamic simulation of boring process

Imani

Yussefian

2009

International Journal of Machine Tools and Manufacture

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“…The force prediction in drilling of metal and composites is shown in papers [8][9][10]. The milling process is analyzed in papers [11][12][13], and the force prediction in thread milling is presented by Araujo et al [14].…”

Section: Introductionmentioning

confidence: 99%

Cutting forces prediction: The experimental identification of orthogonal cutting coefficients

Popović¹,

Tanović²,

Ehmann³

2017

FME Transaction

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“…In boring, some researchers modeled the mechanics and dynamics of a boring process for single point boring bar [5][6][7][8] and multi inserts boring head 9 using the computer simulation packages. These models were not general enough for the general industrial applications.…”

Section: Introductionmentioning

confidence: 99%

Investigation of cutting parameters effect for minimization of sur face roughness in internal turning

Muhammad

Chen

Mufti

2011

Int. J. Precis. Eng. Manuf.

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NOMENCLATURE R a,n = Surface roughness with new insert R a,u = Surface roughness with slightly used insert η n = Signal to Noise ratio of R a,n Minimizing the surface roughness is one of the primary objectives in most of the machining operations in general and in internal turning in particular. Poor control on the cutting parameters due to long boring bar generates non conforming parts which results in increase in cost and loss of productivity due to rework or scrap. In this study, the Taguchi method is used to minimize the surface roughness by investigating the rake angle effect on surface roughness in boring performed on a CNC lathe. The control parameters included besides tool rake angle were insert nose radius, cutting speed, depth of cut, and feedrate. Slight tool wear was included as a noise factor. Based on Taguchi Orthogonal Array L 18 , a series of experiments were designed and performed on AISI 1018 steel. Analysis of variance, ANOVA, was employed to identify the significant factors affecting the surface roughness and S/N ratio was used to find the optimal cutting combination of the parameters. It was concluded that tool with a high positive rake angle and smaller insert nose radius produced lower surface roughness value in an internal turning operation. It was also concluded that high feedrate and low cutting speed has produced the lowest surface roughness.

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The prediction of cutting force for boring process

Cited by 37 publications

References 13 publications

Dynamic simulation of boring process

Dynamic simulation of boring process

Cutting forces prediction: The experimental identification of orthogonal cutting coefficients

Investigation of cutting parameters effect for minimization of sur face roughness in internal turning

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