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Inconel 600 is a face-centered cubic structure and nickel-chromium alloy. Alloy 600 has good resistance to oxidation, corrosion-resistant, excellent mechanical properties, and good creep rupture strength at a higher temperature. Alloy 600 is used in heat treating, phenol condensers, chemical and food processing, soap manufacture, vegetable, and fatty acid vessels. In this context, the present paper investigates the machinability characteristics of Alloy 600 under dry environment. Also, the parametric effect of cutting speed, feed rate, and cutting depth on the force, surface roughness, and tool wear is carried out using 3-Dimensional surface and 1-Dimensional plots. The optimal parameters are determined systematically based on Taguchi-desirability analysis with turned with TiAlN coated carbide insert. From the graphical analysis of collected data, the low rate of feed and moderate cutting for roughness and cutting force and average feed rate for tool wear with low cutting depth.

Inconel 718 has excellent material properties, corrosion, and oxidation property among the nickel based superalloy. This property makes it suitable for producing components operating under extreme environments subjected to pressure and heat. The present study aims to examine the machinability comparison under dry and MQL turning of Inconel 718. The secondary aim is to report the sustainable machining on Inconel 718. Dry and MQL (Minimum Quantity Lubrication) experiments are carried out on Inconel 718 alloy based on Taguchi’s designed L16 orthogonal array. The cutting tools are an advanced coated cutting tool and uncoated tool. The levels of turning parameters are varied at 70, 120, 170 and 220 m/min of turning speed, 0.1, 0.15, 0.2 and 0.25 mm/rev of feed rate and 0.3, 0.4, 0.5 and 0.6 mm of cutting depth. The cutting forces, surface roughness, flank wear, and chip morphology are taken for the current investigation. The factor effect on output responses is studied using 2D plots.

Inconel 825 is nickel (Ni)-iron (Fe)-chromium (Cr) alloy with additions of copper (Cu), molybdenum (Mo), and titanium (Ti). The alloy has excellent resistance to corrosion and is often the most cost-effective alloy in sulphuric acid piping vessels and chemical process equipment. No attempt of applying MQL with three nanofluids was reported conferring to the works accessed. The present study is focused on evaluating the effect of the addition of three nanoparticles (CuO, Al2O3, and CNT) in vegetable oil applied by MQL mode during turning of Inconel 825 with coated carbide tool. Cutting force, surface roughness, and tool wear are evaluated. The results showed that the addition of nCNT substantially improved the machining performance and smaller flank the tool edge, while the adhesion and abrasion are observed as wear mechanism and better results are obtained at 0.5% of nCNT+ vegetable oil to produce the lowest values.

Inconel 625, nickel based alloy, is found in gas turbine blades, seals, rings, shafts, and turbine disks. On the other hand, the manufacturing of this alloy is challenging, mainly when machining processes are used due to excellent mechanical properties. Application of nanofluids in minimum quantity lubrication (MQL) shows gaining importance in the machining process, which is economical and eco-friendly. The principal objective of this investigational work is to study the influence of three types of nanofluids in the MQL turning of Inconel 625 nickel based alloys. The used nanofluids are multi-walled carbon nanotubes (CNT), alumina (Al2O3) and copper oxide (CUO) dispersed in vegetable oil. Taguchi-based L27 orthogonal array is used for the experimental design. The parameter optimization of design variables over response is carried out by the use of Taguchi-based derringer's desirability function.

Nimonic 90A alloy is a nickel-chromium-cobalt alloy and found as a potential material for turbine blades, discs, forgings, a ring section, and hot-working tools. This paper presents the effect of concentration along with cutting speed and feed rate on Fz: cutting force, Ra: surface roughness and Vba: tool wear with the application of two different nanofluids (NFS) on turning of Nimonic 90A by TiAlN PVD carbide cutting inserts. The nanoparticles suspended in oil taken for present investigation are nAl2O3, nCNT, and groundnut oil. The Taguchi L9 orthogonal array and derringer’s desirability response surface has been employed for parameter design and optimal search. 3D surface plots, factor effect plots, Taguchi S/N, and variance tests are used to study the effect of concentration on the machining performance of Nimonic 90A. The statistical analysis revealed % concentration for nCNT and cutting speed for nAl2O3 are found as an influenced parameter on performance characteristics.

In recent years, aluminum metal matrix composites (Al-MMC) are found as a potential material for numerous applications owing to its excellent tribological and mechanical properties. In this work, the machining characteristics of aluminum alloy (Al7075) reinforced with TiC/MoS2 having nanoparticle has been studied. The samples of aluminum metal matrix composites by varying TiC in 0, 2 and 4 and MoS2 in 0 and 2 of the percentage weight of aluminum alloy (Composite 1(Al7075), Composite 2 (Al7075/2TiC/2MoS2) and composite 3 (Al7075/4TiC/2MoS2), respectively) are fabricated by the stir-casing method. The turning characteristics of the developed metal matrix composites are studied at various parameters such as cutting velocity (30 m/min, 60 m/min and 90 m/min), cutting depth (0.5 mm, 1.0 mm and 1.5 mm) and composites (1, 2 and 3) using TiN coated cutting tool by dry turning at 0.05 mm/rev feed rate.

Nickel based materials of Nimonic C-263 and Waspaloy are used nowadays for aerospace applications owing to its superior strength properties that are maintained at a higher temperature. Tool wear and cutting temperature in the vicinity of cutting edge are two essential machinability characteristics for any cutting tool. In this regard, this study is pursued to examine the influence of factors on measuring of tool wear (Vba) and cutting temperature (Ts) during dry machining of two alloys studied experimentally based on Taguchi method and response surface methodology. Taguchi’s L16 orthogonal array is used to design the experiment and a PVD (TiAlN), CVD (TiN/Al2O3/TiCN) coated carbide inserts are used on turning of two alloys. The factor effect on output responses are studied using analysis of variance, empirical models, and responses surface 3D plots. To minimize the response and to convert into one single optimum level, responses surface desirability function approach is applied.

The present paper examined the machining of Nimonic 75 experimentally with hexagonal boron nitride-based cutting fluid. Three different types of hexagonal boron nitride (hBN) nanofluids with various hBN concentrations and cutting variables (cutting speed and feed rate) are applied in turning experiments. Tool wear, cutting forces, roughness, residual stress, and chip morphology in machining Nimonic 75 alloy with the hBN nanofluids are analyzed. The effects caused by the variation of hBN concentration and cutting variables are discussed. The results show that cutting speed decrease the force, surface roughness, specific energy consumption, and chip reduction coefficient except for shear angle, friction coefficient, and residual stress. The increase in feed rate increases the machining characteristics and chip-tool interface indices parameters except for flank wear and specific energy consumption.

Inconel 617 is found in industrial sectors, including chemical, petrochemical, and nuclear. This work mainly concentrates on the analysis and the input-parameters optimization that minimizes the surface roughness, tool wear, and force in turning Inconel 617. Then, the chip and inserts are morphologically characterized using optical images. The residual plots showed that the accomplished investigational data are reliable and suitable for further study. Abrasion is accountable for tool wear mechanisms, and a rise in cutting speed affects the tool wear profile. Chip burr adhering to the flank surface is responsible for the surface roughness increase. Optimum cutting parameters are determined as 0.3mm depth of cut, 0.1mm/rev feed rate, and 220m/min cutting speed. Feed rate is the most influential parameter for process variables through Criteria Importance through Inter Criteria and weighted aggregated sum product assessment methodology.