Performance evaluation of HSS cutting tool coated with hafnium and vanadium nitride multilayers, by temperature measurement and surface inspection, on machining AISI 1020 steel

Navarro-Devia, John Henry; Amaya, C.; Caicedo, J.C.; Aperador, W.

doi:10.1016/j.surfcoat.2017.08.074

Cited by 19 publications

(8 citation statements)

References 38 publications

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“…VN particularly in the form of thin film is extensively used in industrial devices requiring high performance, corrosion resistance and improved abrasion resistance in microelectronics, superconductors and sometimes as decorative coatings. However, they are widely used as hard coatings for cutting tools to improve their service life and performance [9][10][11][12][13][14].…”

Section: Introductionmentioning

confidence: 99%

Investigating the effect of nitrogen on the structural and tribo-mechanical behavior of vanadium nitride thin films deposited using R.F. magnetron sputtering

et al. 2021

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Magnetron sputtering is one of the most commonly used deposition techniques, which has received considerable attention in industrial applications. In particular, owing to its compatibility with conventional fabrication processes, it can produce and fabricate high-quality dense thin films of a wide range of materials. In the present study, nitrogen (N) was combined with pure vanadium in order to form binary nitride to improve its mechanical and tribological performance. To evaluate the influence of nitrogen on the structure of the as-deposited vanadium nitride (VN) coatings, the following techniques were used: XPS, XRD, SEM, AFM and optical profilometry. The residual stresses were determined by the curvature method using Stoney’s formula. The hardness and Young’s modulus were obtained by nanoindentation measurements. The friction behavior and wear characteristics of the films were evaluated by using a ball-on-disk tribometer. The obtained results showed that the N/V ratio increased with increasing the N2 flow rate while the deposition rate decreased. The preferred orientation was changed from (200) to (111) as the N2 flow rate increased with the presence of V–N and V–O binding energies as confirmed by XPS analysis. The nitrogen addition resulted in a columnar morphology and a fine structure with fine surface roughness. The VN thin film containing 49.5 at.% of nitrogen showed the best performance: highest mechanical properties (hardness = 25 GPa), lowest friction coefficient (μ = 0.37) and lowest wear rate (Ws = 2.72 × 10−5 mm3N−1 m−1). A good correlation between the film microstructure, crystallite size, residual stress and mechanical and tribological properties was observed.

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Section: Introductionmentioning

confidence: 99%

Investigating the effect of nitrogen on the structural and tribo-mechanical behavior of vanadium nitride thin films deposited using R.F. magnetron sputtering

et al. 2021

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“…Authors such as J.C Caicedo et al [13] also showed this behaviour in multilayers systems The roughness is a factor that influenced the tribological properties, influencing the formation of asperities, the type of contact and the wear generated at the beginning of the tribological test [15,14], thus, the coating with 50 bilayers presented a decrease in the formation of asperities, a greater area of contact and less wear at the beginning of the tribological test, as corroborated later in Fig. 9a.…”

Section: Surface Analysismentioning

confidence: 94%

Influence of the Number of Bilayers on the Mechanical and Tribological Properties in [TiN/TiCrN]n Multilayer Coatings Deposited by Magnetron Sputtering

Ortiz¹,

Colorado²,

Aperador³

et al. 2019

Tribol. Ind.

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In this work the influence of the number of bilayers was studied on the mechanical, tribological and electrochemical properties of multilayer coatings [TiN / TiCrN]n as a function of the number of bilayers n = 1, 25 and 50, deposited by magnetron sputtering. By Xray diffraction (XRD), a cubic crystal structure centered on the faces (FCC) was determined for all coatings and an increase in the compressive stresses that were generated during the deposition process was found by perfilometry; Atomic force microscopy (AFM) determined that by increasing the number of bilayers, the roughness decreased, due to an increase in the density of the system. By nanoindentation it was found that the hardness (H) and the modulus of elasticity (E) increased as the number of bilayers did. By Pin on disk a decrease in the coefficient of friction was observed as the number of bilayers was increased, which was related to the increase in hardness and the reduction of roughness. The results of EIS and Tafel for the electrochemical properties, determined that the corrosion rate decreased due to the fact that a greater barrier to the passage of the electrolyte towards the substrate is promoted when the number of bilayers increases.

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“…The works by Li et al and Ren et al [101,138] claimed to have utilized different materials, while others have employed dissimilar tools as Hauptfleischová et al [223], but more details on their effect on chatter occurrence and detection were not provided. It is also noted that the effect of tool coating on chatter has not been widely studied, despite the fact that coatings modify the tribological behaviour in machining such as varying wear, friction, cutting forces and temperature [318][319][320][321].…”

Section: Cutting Parameters and Experiments Setupmentioning

confidence: 99%

Chatter detection in milling processes—a review on signal processing and condition classification

Navarro-Devia

Chen

Dao

et al. 2023

Int J Adv Manuf Technol

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Among the diverse challenges in machining processes, chatter has a significant detrimental effect on surface quality and tool life, and it is a major limitation factor in achieving higher material removal rate. Early detection of chatter occurrence is considered a key element in the milling process automation. Online detection of chatter onset has been continually investigated over several decades, along with the development of new signal processing and machining condition classification approaches. This paper presents a review of the literature on chatter detection in milling, providing a comprehensive analysis of the reported methods for sensing and testing parameter design, signal processing and various features proposed as chatter indicators. It discusses data-driven approaches, including the use of different techniques in the time–frequency domain, feature extraction, and machining condition classification. The review outlines the potential of using multiple sensors and information fusion with machine learning. To conclude, research trends, challenges and future perspectives are presented, with the recommendation to study the tool wear effects, and chatter detection at dissimilar milling conditions, while utilization of considerable large datasets—Big Data—under the Industry 4.0 framework and the development of machining Digital Twin capable of real-time chatter detection are considered as key enabling technologies for intelligent manufacturing.

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Performance evaluation of HSS cutting tool coated with hafnium and vanadium nitride multilayers, by temperature measurement and surface inspection, on machining AISI 1020 steel

Cited by 19 publications

References 38 publications

Investigating the effect of nitrogen on the structural and tribo-mechanical behavior of vanadium nitride thin films deposited using R.F. magnetron sputtering

Investigating the effect of nitrogen on the structural and tribo-mechanical behavior of vanadium nitride thin films deposited using R.F. magnetron sputtering

Influence of the Number of Bilayers on the Mechanical and Tribological Properties in [TiN/TiCrN]n Multilayer Coatings Deposited by Magnetron Sputtering

Chatter detection in milling processes—a review on signal processing and condition classification

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