Stability Prediction Maps in Turning of Difficult-to-cut Materials

Urbicain, G.; Palacios, Jonathan; Fernández, Ángel G.; Rodríguez, Adrián; Lacalle, Luís Norberto López de; Elı́as-Zúñiga, Alex

doi:10.1016/j.proeng.2013.08.244

Cited by 10 publications

(6 citation statements)

References 11 publications

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“…It is observed that a smaller relief angle or higher wear leads to increased process damping and improved stability at low spindle speeds. Urbicain et al's [5] work focuses on the problem of identifying stability charts when cutting Inconel 718. The method estimates the free-chatter regions in longitudinal chatter when the tool vibrates in the tangential direction.…”

Section: Introductionmentioning

confidence: 99%

A hybrid decision making approach to prevent chatter vibrations

Sofuoğlu

Orak

2015

Applied Soft Computing

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Section: Introductionmentioning

confidence: 99%

A hybrid decision making approach to prevent chatter vibrations

Sofuoğlu

Orak

2015

Applied Soft Computing

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“…Good agreements were observed upon validation as shown in Figure 6. The deviations of predicted temperature were due to the deviations of input cutting forces and chip thickness due to the limitation of the measuring equipment and vibration in the machining process [30][31][32]. The positive correlation between the experimental maximum temperature and experimental average temperature has been reported in the literature.…”

Section: Methodsmentioning

confidence: 69%

“…Multiple sets of J-C constants are available in the literature, in which the J-C constants were identified from different experimental approaches, numerical approaches, and analytical approaches [25][26][27][28][29]. The vibration and limitation of the measuring equipment cause the variations of cutting force and chip thickness [30][31][32]. The advantages and limitations of the temperature model have not been fully investigated.…”

Section: Introductionmentioning

confidence: 99%

Evaluation of an Analytical Model in the Prediction of Machining Temperature of AISI 1045 Steel and AISI 4340 Steel

Ning

Liang

2018

JMMP

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This paper evaluates a physics-based analytical model in the prediction of machining temperature of AISI 1045 steel and AISI 4340 steel. The prediction model was developed based on the Johnson-Cook constitutive model (J-C model) and mechanics of the orthogonal cutting process. The average temperatures at two shear zones were predicted by minimizing the difference between calculated stresses using the J-C model and calculated stresses using the mechanics model. In this work, (1) the influence of input Johnson-Cook model constants, cutting force, and chip thickness on the accuracy of predictions are investigated with sensitivity analyses, in which multiple sets of available J-C constants and varying cutting force and chip thickness are used for the temperature prediction in machining AISI 1045 steel. The larger the input deviation, the larger prediction deviation. The temperature at the primary shear zone is more susceptible to the deviation of inputs than the temperature at the secondary shear zone. (2) The machining temperatures are also predicted in machining AISI 4340 steel using cutting tools with various specifications to demonstrate its predictive capability. Good agreements are observed upon validation to available experimental data in the literature. (3) Lastly, the advantage and limitation of the temperature model are discussed with comparison other analytical temperature models. Considering the reliable and easily measurable input requirements and sufficient predictive capability, this temperature model can be employed for effective and efficient machining temperature prediction.

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“…Inconel and titanium alloys have excellent mechanical properties, nevertheless, as per its low thermal conductivity and high hardening, cutting speed ranges and tool life are below other metallic materials (Sharman et al, 2015). Furthermore, chatter is also a limitation on high production, caused by the friction between the tool and the workpiece (Urbicain et al, 2013). So, there are two main barriers in metal cutting against this progress: difficult-to-cut materials and chatter.…”

Section: Introductionmentioning

confidence: 99%

Stability on turning of Inconel 718 using vibration-assisted machining

Araujo¹,

Cosenza²

2019

Diname2019

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Inconel is a hard-to-cut material that uses very low cutting speed. In turning operation added to the low cutting velocity, there is also a second limitation to productivity: chatter. In order to reduce chatter, the depth of cut is reduced and the material removal rate is lower. One option to avoid reducing the depth of cut is using vibration assistance machining. This paper presents a numerical investigation using 1D vibrations in the feed direction in order to reduce chatter in turning Inconel 718.

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Stability Prediction Maps in Turning of Difficult-to-cut Materials

Cited by 10 publications

References 11 publications

A hybrid decision making approach to prevent chatter vibrations

A hybrid decision making approach to prevent chatter vibrations

Evaluation of an Analytical Model in the Prediction of Machining Temperature of AISI 1045 Steel and AISI 4340 Steel

Stability on turning of Inconel 718 using vibration-assisted machining

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