Behaviour of a biocompatible titanium alloy during orthogonal micro-cutting employing green machining techniques

Lauro, Carlos Henrique; Brandão, Lincoln Cardoso; Filho, Sérgio Luiz Moni Ribeiro; Davim, J. Paulo

doi:10.1007/s00170-018-2352-8

Cited by 12 publications

(2 citation statements)

References 48 publications

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“…Furthermore, Lauro et al 5 conducted a very thorough study in Ti6Al7Nb dry micro turning and assessed several responses that characterize the machinability, including machining forces, cutting temperature, chip compression ratio, specific cutting energy and friction coefficient at the rake face. The same authors 6 performed similar tests with minimum quantity lubrication (MQL) and observed worse surface roughness for MQL conditions due to higher chip adherence ( R a <0.2 μm for dry, and R a <0.3 μm for MQL). Nonetheless, MQL improved the burr formation by avoiding the growth of a build-up edge.…”

Section: Introductionmentioning

confidence: 86%

The role of roughness parameters in grading the machined surface quality in Ti-alloys

Carvalho

Horovistiz

Davim

2023

Proceedings of the Institution of Mechanical Engineers, Part B:

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Titanium alloys are extensively employed in machining to produce high-value components, where surface roughness is crucial for their functionality. In this study, the roughness of Ti6Al4V and Ti6Al7Nb turned surfaces was analysed. The goal was to compare the alloy’s roughness behaviour when machined under the same conditions. Therefore, hypothesis testing was performed to assess the equality of the expected values and population median. It was found that, for some parameters, the mean ( RzI, Rt) and median ( Rq, RzD, Pt) roughness was statistically different when changing alloys. However, for others, it did not present a significant difference, in terms of mean ( RmD, Rp) and median ( Ra, Rpm). Consequently, a relevant insight from this study was that the phenomenon interpretation was affected by roughness parameter selection. On the other hand, as expected, the feed rate played a critical role in roughness control. It was observed that Ti6Al7Nb had a smoother topography ( Ra was 0.15 ± 0.01 μm and 0.62 ± 0.04 μm) than Ti6Al4V (0.31 ± 0.02 μm and 0.67 ± 0.03 μm) at 0.05 and 0.15 mm/rev. Yet, at 0.1 mm/rev, this behaviour changed, as Ti6Al4V had a smoother surface ( Ra was 0.40 ± 0.02 μm) than Ti6Al7Nb ( Ra was 0.51 ± 0.03 μm). Finally, the multi-optimization indicated that a low feed rate (0.05 mm/rev) and medium (60 m/min) and high (90 m/min) cutting speed led to lower roughness and higher material removal rate for turning Ti6Al7Nb and Ti6Al7V, respectively. The insights from this study may have a practical application in the manufacturing and quality control of biomedical components.

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Section: Introductionmentioning

confidence: 86%

The role of roughness parameters in grading the machined surface quality in Ti-alloys

Carvalho

Horovistiz

Davim

2023

Proceedings of the Institution of Mechanical Engineers, Part B:

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“…Moreover, due to the use of positive chip breaker higher cutting speeds and DoC can be used so that productivity can be improved. Lauro and Brandao [17] reported reduced machining performance using minimum quality lubrication (MQL). Dry machining exhibited better results for cutting forces, surface roughness and burr formation compared to MQL.…”

Section: Introductionmentioning

confidence: 99%

Evaluation and multi-objective optimization of nose wear, surface roughness and cutting forces using grey relation analysis (GRA)

Sonawane

Sargade

2019

J Braz. Soc. Mech. Sci. Eng.

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Dual-phase structure with 1:1 ratio of austenite and ferrite is termed as "Duplex". Lower cost of duplex stainless steel (DSS) with a combination of good strength and corrosion resistance in a critical environment is captivating many applications. This research work highlights the experimental study of effect of cutting parameters such as cutting speed, feed rate, AlTiN and AlTiCrN-coated tools on response parameters, viz. tool life, surface roughness and cutting forces. Multi-objective optimization using grey relation analysis (GRA) was done to optimize quality response characteristics. High-power impulse magnetron sputtering was used to deposit AlTiN and AlTiCrN coatings on tungsten carbide substrate. Performance measures such as tool life, surface roughness and cutting forces were measured during dry turning of DSS2205 and optimized using Taguchi's GRA technique. AlTiCrN-coated tools exhibited the best results followed by AlTiN-coated tools and uncoated tools. Tool life achieved with AlTiCrN-coated tools is 7 times more than uncoated tools, in which surface roughness was found to be reduced by 67% and cutting forces by 25%. Weighted GRG grade shows that for all the tools used, a cutting speed of 100 m/ min and feed rate of 0.12 mm/rev provided optimum results for response parameters. For change in weightage to response characteristics, different optimum conditions were found for all the tools used. AlTiCrN-coated tool with 100 m/min cutting speed and 0.12 mm/rev feed rate performed better with the highest tool life, the least surface roughness and cutting forces. The results were confirmed by S/N ratio plots. Keywords DSS2205 • HiPIMS • Characterization • Dry turning • GRA • S/N ratio List of symbols X i (k) Sequence after the data preprocessing Δ 0i (k) Deviation sequence of the reference sequence i (k) Grey relation coefficient T s Deposition temperature of the coating X 0 i (k) Original sequence Identification coefficient i

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An Image Processing Approach for Morphology Characterization of Serration in Ti-6Al-7Nb Chip Sliding Surface

Horovistiz,

Carvalho,

Davim

2023

Lecture Notes in Mechanical Engineering

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Behaviour of a biocompatible titanium alloy during orthogonal micro-cutting employing green machining techniques

Cited by 12 publications

References 48 publications

The role of roughness parameters in grading the machined surface quality in Ti-alloys

The role of roughness parameters in grading the machined surface quality in Ti-alloys

Evaluation and multi-objective optimization of nose wear, surface roughness and cutting forces using grey relation analysis (GRA)

An Image Processing Approach for Morphology Characterization of Serration in Ti-6Al-7Nb Chip Sliding Surface

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