Effectiveness of uncoated WC–Co and PCD inserts in end milling of titanium alloy—Ti–6Al–4V

Amin, A. K. M. Nurul; Ismail, Ahmad Faris; Khairusshima, M.K. Nor

doi:10.1016/j.jmatprotec.2007.04.095

Cited by 165 publications

(72 citation statements)

References 12 publications

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“…(Amin et al, 2007). Zoya and Krishnamurthy (2000) reported that surface roughness value decreased with the increase of cutting speed in the range of 150-185 m/min, but increased in the range of 185-350 m/min when turning ␣ + ␤ phase stabilized titanium alloys.…”

Section: Surface Roughnessmentioning

confidence: 99%

“…Zoya and Krishnamurthy (2000) reported that surface roughness value decreased with the increase of cutting speed in the range of 150-185 m/min, but increased in the range of 185-350 m/min when turning ␣ + ␤ phase stabilized titanium alloys. Several researchers found that surface roughness values became larger at high cutting speeds in turning Ti-6Al-4V (Ribeiro et al, 2003) and in end milling Ti-6Al-4V using WC-Co and PCD insert (Amin et al, 2007). As for the influence of tool wear on surface roughness, Lopez de lacalle et al (2000) found that with the increase of cutting speed, surface roughness value first increased then decreased with the tool wear progression in milling using hard solid mills.…”

Section: Surface Roughnessmentioning

confidence: 99%

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A comprehensive experimental study on surface integrity by end milling Ti–6Al–4V

Sun

Guo

2009

Journal of Materials Processing Technology

272

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Section: Surface Roughnessmentioning

confidence: 99%

Section: Surface Roughnessmentioning

confidence: 99%

A comprehensive experimental study on surface integrity by end milling Ti–6Al–4V

Sun

Guo

2009

Journal of Materials Processing Technology

272

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“…Nurul Amin et al [17] investigated the effect of segmented chip formation on vibration in end milling.…”

Section: Chip Formation Effectsmentioning

confidence: 99%

“…The starting point for the model is the empirical data from the literature [15,17,18], which leads to a relationship between the cutting surface speed V , feedrate s, width of cut b, and segmentation frequency:…”

Section: Segmentation-driven Vibration Amplitudementioning

confidence: 99%

Developing a hardware in-the-loop simulator for a backpack energy harvester

Papatheou

Sims

2012

Journal of Intelligent Material Systems and Structures

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Excessive vibration, such as chatter, is a common problem in machining processes. Meanwhile, numerous hard, brittle metals have been shown to form segmented chips, also known as sawtooth chips, during machining. In the literature, a cyclic cutting force has been demonstrated where segmented chips are formed, with the force cycle corresponding to the formation of segments. Segmented chip formation has been shown to be linked to high vibration levels in turning and milling processes. Additionally, it has been proposed that the amplitude of chatter vibrations can be limited by interference between the tool flank and wavy workpiece surface, a phenomenon known as tool flank process damping.In this contribution, a model is proposed to predict the amplitude of forced vibration arising due to the formation of segmented chips during turning. The amplitude of vibration was calculated as a function of cutting parameters. It was demonstrated that the model can be extended to account for the effect of tool flank process damping. For validation, titanium Ti6Al4V alloy was turned using a flexible toolholder, with surface speed ranging from 10 to 160m/min, feedrate from 0.1 to 0.7mm/rev and width of cut from 0.35 to 4mm.In the experimental validation, 25 of 68 test cuts exhibited high amplitude vibration. In 16 of these cases, the main cause was concluded to be chip segmentation, which can be predicted by the model. The model is thus considered of practical value to machinists.

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“…As displayed in Figure 1, interconnected parameters such as tool wear, cutting speed, feed rate, and radial and axial depth of cut, are found to significantly affect the surface roughness of a machined part [8]. Figure 2 shows the major areas for surface roughness prediction which have been used as the basics upon which research has been founded, and they include design of experiments, processes, materials, and artificial techniques.…”

Section: Introductionmentioning

confidence: 99%

Prediction of Surface Roughness When End MillingTi6Al4VAlloy Using Adaptive Neurofuzzy Inference System

Al-Zubaidi

Ghani

Haron

2013

Modelling and Simulation in Engineering

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Surface roughness is considered as the quality index of the machine parts. Many diverse techniques have been applied in modelling metal cutting processes. Previous studies have revealed that artificial intelligence techniques are novel soft computing methods which fit the solution of nonlinear and complex problems like metal cutting processes. The present study used adaptive neurofuzzy inference system for the purpose of predicting the surface roughness when end milling Ti6Al4V alloy with coated (PVD) and uncoated cutting tools under dry cutting conditions. Real experimental results have been used for training and testing of ANFIS models, and the best model was selected based on minimum root mean square error. A generalized bell-shaped function has been adopted as a membership function for the modelling process, and its numbers were changed from 2 to 5. The findings provided evidence of the capability of ANFIS in modelling surface roughness in end milling process and obtainment of good matching between experimental and predicted results.

show abstract

Effectiveness of uncoated WC–Co and PCD inserts in end milling of titanium alloy—Ti–6Al–4V

Cited by 165 publications

References 12 publications

A comprehensive experimental study on surface integrity by end milling Ti–6Al–4V

A comprehensive experimental study on surface integrity by end milling Ti–6Al–4V

Developing a hardware in-the-loop simulator for a backpack energy harvester

Prediction of Surface Roughness When End MillingTi6Al4VAlloy Using Adaptive Neurofuzzy Inference System

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