Dry Machining Conditions Research Articles

Influence of Support Vector Regression (SVR) on Cryogenic Face Milling

The paper aims to investigate the processing execution of SS316 in manageable machining cooling ways such as dry, wet, and cryogenic (LN2‐liquid nitrogen). Furthermore, “one parametric approach” was utilized to study the influence and carry out the comparative analysis of LN2over dry and LN2over wet machining conditions. Response surface methodology (RSM) is incorporated to build a relationship model among the considered independent variables (spindle speed: (S, rpm), feed rate (F, mm/min), and depth of cut (doc) (D, mm)) and the dependent variable (surface roughness (Ra)). Since there is the involvement of more than one independent variable, the generation of regression equation is “multiple linear regression.” Based on the attained coefficient value of the independent variable, the respective impact on surface roughness is identified. The results of comparative analysis of LN2over dry and LN2over wet machining states revealed that LN2 machining yielded better surface finish with up to 64.9%, 54.9% over dry and wet machining, respectively, indicating the benefits of LN2 for achieving better Ra. The benchmark function of the proposed mode hybrid‐bias (BNN‐SVR) algorithm showcases the propensity to emerge out of the local minimum and coincide with the optimal target value. The performance of the (BNN‐SVR) is a prevalent new ability to fetch the partially trained weights from the BNN model into the SVR model, thus leading to the conversion of static learning capability to dynamic capability. The performances of the adopted prediction approaches are compared through a range of attained error deviation, i.e., (RA: 3.95%–8.43%), (BNN: 2.36%–5.88%), (SVR: 1.04%–3.61%), respectively. Hybrid‐bias (BNN‐SVR) is the best suitable prediction model as it provides significant evidence by attaining less error in predicting Ra. However, SVR surpasses BNN and RSM approaches because of the convergence factor and narrow margin error.

Enhanced Surface Integrity of a Biomedical Grade Polyetheretherketone through Cryogenic Machining

Polyetheretherketone (PEEK) belongs to a group of thermoplastic polymers widely used in bioengineering applications such as trauma, orthopedic and spine implants, whose mechanical and geometrical characteristics, when put in service, must be the highest possible. However, machining operations, usually carried out for their manufacturing, can assure these characteristics uniquely when they are performed in a restricted temperature window because of the PEEK mechanical behavior change nearby its glass transition temperature.To this aim, the present paper investigates the feasibility of using cryogenic machining to enhance the surface integrity of a biomedical grade PEEK. Turning trials were carried out under dry and cryogenic machining conditions at varying feed and cutting speed. The temperature reached during the process was measured by means of a thermocouple embedded in the cutting tool, whereas the surface integrity assessed in terms of surface defects, surface roughness and hardness. Additionally, the degree of crystallinity was evaluated via Differential Scanning Calorimetry (DSC). To correlate machinability results with the PEEK mechanical behavior, tensile tests were performed in the temperatures range between -100°C and 50°C.The obtained results showed that the application of liquid nitrogen always made possible achieve an enhanced surface integrity compared to the corresponding dry condition, which represent the currently used strategy for the manufacture of biomedical polymer implants. A proper temperature control during machining assured indeed the formation of lower amounts of defects as well as reduced surface roughness, by increasing the PEEK degree of crystallinity.

Kajian Simulasi Fem 3D : Keausan Pahat Twist Drill pada Pemesinan Bor Mikro Material Ti-6Al-4V

Titanium is a material that has a good strength to weight ratio, excellent corrosion resistance, and resistant to high or low temperatures Titanium alloys that are used in various industrial fields, one of them is the Ti6Al4V alloy. Micro drilling has a high rotational speed which results in tool wear, high temperatures, and surface roughness. This research uses The Finite Element Method (FEM) simulation. The application used is DEFORM 3D based on parameters from previous studies. The purpose of this research is to identify the progress of tool wear in a simulated manner on the Ti6Al4V alloy micro-dilling and analyze the tool wear on the Ti6Al4V alloy micro-drilling under dry machining conditions. Machining trials used CNC micro-drilling at various of cutting parameters such as cutting speed of 10.000 and 15.000 rpm. The results showed that the tool wear progress at the 5th hole was 0.00346 mm, the tool wear progress at the 10th hole was 0.00462 mm and the tool wear progress at the 15th hole was 0.00525 mm. Analyzing tool wear in simulated machining and experimental machining in dry conditions has a high wear value. Tool wear is simulated by measuring the radius of the tool in the 15th hole valued at 0.09973 mm. Tool wear is experimentally measured from the tool radius in the 15th hole valued at 0.0101 mm. The tool mesh is changed due to the tool wear. The tool mesh in the 5th hole is worth 17372 mesh. The tool mesh in the 10th hole is 15662 mesh. The tool mesh in the 15th hole was highly reduced by 13021 mesh. Tool wear affects the change in tool mesh. With increasing tool wear then tool mesh is reduced. The next cause of tool wear is the tool temperature in the machining process.

Comparative evaluation of hole making processes in magnesium alloy AZ31 under dry machining condition

Hole making is an important process in manufacturing industries. Usually conventional drilling process is used for making holes. However recently a newer hole making process has gained importance due to several advantages it possesses. In this work, a comparative evaluation between conventional drilling with the newer helical milling process for making holes in Magnesium alloy AZ31 has been carried out. The two processes were analyzed considering the cutting forces, surface roughness, hole diameter and cutting temperature. In addition, the formation of burrs and chip morphology were studied. The hole quality in terms of diametrical accuracy and surface finish was found to be better when helical hole milling process was used. The generated cutting forces and temperature were found to be lower when holes were generated using helical milling process. The chips produced during the hole milling process were smaller which helped in easy evacuation as compared to drilling process. The results show that the helical hole milling process is a promising alternative for conventional hole drilling process.

Investigation of the tool wear, surface roughness, and chip formation in the machining of ZrO2-reinforced aluminum composites

The aim of this study is to reveal how ZrO2 (zirconia) contributes to the machinability of aluminum 1050. In the first stage of this study, composite materials were produced by the vortex method by adding different amounts of ZrO2 (5%, 10%, 20%, and 30%) into commercial aluminum of 99.5% purity. Then, microstructure images of composite materials were taken under the scanning electron microscope (SEM), and the hardness of these composite materials was measured. In the last stage, the machinability tests of the composite materials were performed on the lathe under dry machining conditions at 125, 175, and 225 m/min cutting speeds and 0.03–0.06 and 0.12 mm/rev feed rates, with 1.5 mm constant depth of cut. Uncoated cementite carbide cutting tool inserts were used in machining tests. SEM images of the cutting tool inserts were taken, and the roughness values of the machined surfaces were measured. Chip samples were taken and investigated. It was observed that all the cutting tools had a Built-Up Edge (BUE) formation. Surface roughness and BUE formation increased as the feed rates were increased and decreased with increasing cutting speed. The roughness values decreased slightly and then increased again depending on the ZrO2 ratio. As the feed rates increased, a transition from ribbon chip type to the helical and saw-toothed forms was observed. It was also observed that the chip formation changed depending on the amount of ZrO2 in the composite structure.

Cutting Forces and Chip Shaping When Finish Turning of 17-4 PH Stainless Steel under Dry, Wet, and MQL Machining Conditions

This paper analyses three components of total cutting force and chip shape changes when finish turning 17-4 PH (precipitation hardening) stainless steel. A Finite Element Method (FEM) simulation of cutting forces was also performed using the Johnson–Cook constitutive model. The results were compared with those obtained from experimental studies. Variable feeds of 0.05–0.4 mm/rev and depth of cut of 0.2–1.2 mm with a cutting speed of 220 m/min were used. The studies were carried out under dry and wet cooling conditions and with the use of minimum quantity lubrication (MQL). This research was realized based on the Parameter Space Investigation (PSI) method. Statistical analysis of the obtained results was carried out using Statistica-13 software. It was found that the cutting force Fc and feed force Ff depend on the depth of cut and feed, and the passive force Fp depends mainly on the feed. Compared to dry cutting conditions, a reduction of 43% and 39% of the cutting force Fc was achieved for wet machining and MQL machining, respectively. Regardless of the cooling conditions, a favorable chip shape was registered for ap = 1–1.1 mm and f = 0.25–0.3 mm/rev. Compared to the experimental studies, the FEM simulation showed differences of ~13% for the cutting force Fc and of ~36% for the feed force Ff.

Comparative assessment of the surface topography for different optical profilometry techniques after dry turning of Ti6Al4V titanium alloy

This paper presents comparison analysis of the surface texture properties measured by a Sensofar S Neox 3D optical profilometer, an Alicona Infinite Focus SL optical measuring system and a digital Keyence VHX-6000 microscope on the example of assessing of the Ti6Al4V titanium alloy surface after finish turning under dry machining conditions. 2D and 3D surface parameters were analyzed and surface profiles and average percentage changes in parameters tested are demonstrated. Different measurement areas were used. Measuring differences of up to ~30% were observed between methods tested. In the 2D mode, the best possibilities are offered smaller measuring areas as observed for Alicona Infinite Focus SL and Keyence VHX-6000. In the 3D mode, larger measuring areas for Sensofar S Neox 3D provides better options compared to smaller measuring areas for Alicona Infinite Focus SL. Surface profiles analyses using the Sensofar S Neox 3D and Keyence VHX-600 show similar results.

Surface morphology assessment of CFRP transverse grinding using CNT nanofluid minimum quantity lubrication

Carbon fiber-reinforced polymer (CFRP) composites are of high interest in the field of aerospace because of their extremely high strength-to-weight and stiffness-to-weight ratios. Dry processing has been widely applied due to the hygrothermal aging of CFRP using flood lubrication. However, severe conditions of dry machining lead to an abundance of multifarious defects and dust harmful to humans and the environment. The increasing vegetable oil-based nanofluid minimum quantity lubrication (NMQL) involving CNTs with excellent heat transfer and friction reduction could solve the above technique bottleneck. Grinding experiments under different conditions were conducted to investigate the CFRP grindability of NMQL. Results show that compared with dry grinding, the surface roughness Ra, Rz, and RSm values of CNT NMQL in the feed direction (fiber direction) are reduced by 17.70%, 20.78%, and 25.40% (12.68%, 25.06%, and 11.43%), respectively. Furthermore, the 3D fractal dimension of NMQL grinding was the lowest, and the spectral width and difference were decreased by 21.76% and 31%, respectively. The texture features of the machined surface roughness of NMQL demonstrated the least changes, in which the energy proportion of the high-frequency detail signal was reduced by 46.85% compared with dry grinding. The energy proportion of detail sub-images in the NMQL grinding SEM wavelet decomposition diagram was the lowest (0.4214). The proportion of the defect characteristics in the horizontal direction (0.155) was less than the vertical direction (0.1952). This finding was consistent with the energy proportion of the surface roughness signal wavelet analysis. This study demonstrated the feasibility of CFRP precision machining using NMQL.

Modeling and optimization for surface roughness and tool flank wear in hard turning of AISI 4340 steel (35 HRC) using TiSiN-TiAlN nanolaminate coated insert

PurposeThe present study spotlights the single and multicriteria decision-making (MCDM) methods to determine the optimal machining conditions and the predictive modeling for surface roughness (Ra) and cutting tool flank wear (VB) while hard turning of AISI 4340 steel (35 HRC) under dry environment.Design/methodology/approachIn this study, Taguchi L16 design of experiments methodology was chosen. The experiments were performed under dry machining conditions using TiSiN-TiAlN nanolaminate PVD-coated cutting tool on which Taguchi and responses surface methodology (RSM) for single objective optimization and MCDM methods like the multi-objective optimization by ratio analysis (MOORA) were applied to attain optimal set of machining parameters. The predictive models for each response and multiresponse were developed using RSM-based regression analysis. S/N ratios, analysis of variance (ANOVA), Pareto diagram, Tukey's HSD test were carried out on experimental data for profound analysis.FindingsOptimal set of machining parameters were obtained as cutting speed: at 180 m/min., feed rate: 0.05 mm/rev., and depth of cut: 0.15 mm; cutting speed: 145 m/min., feed rate: 0.20 mm/rev. and depth of cut: 0.1 mm for Ra and VB, respectively. ANOVA showed feed rate (96.97%) and cutting speed (58.9%) are dominant factors for Ra and VB, respectively. A remarkable improvement observed in Ra (64.05%) and VB (69.94%) after conducting confirmation tests. The results obtained through the MOORA method showed the optimal set of machining parameters (cutting speed = 180 m/min, feed rate = 0.15 mm/rev and depth of cut = 0.25 mm) for minimizing the Ra and VB.Originality/valueThis work contributes to realistic application for manufacturing industries those dealing with AISI 4340 steel of 35 HRC. The research contribution of present work including the predictive models will provide some useful guidelines in the field of manufacturing, in particular, manufacturing of gear shafts for power transmission, turbine shafts, fasteners, etc.

Anticorrosion property enhancement of Al–Li alloy 2A97 by lowering machined surface roughness

AbstractIn this study, after face‐milling Al–Li alloy 2A97 under dry machining condition, the machined surface roughness Sa and Sz are dealt with statistical analyses. Then, the supplementary face‐milling trials are conducted to verify the analyses and gain the effect of the feed rate per tooth (fz) on Sa and Sz. Lastly, the electrochemical impedance spectroscopy tests are conducted on the machined surfaces to determine their corrosion resistance. The variance analyses show that although fz and the depth of cut are more important than the width of cut and the cutting speed, each of the four parameters is individually insignificant to Sa and Sz. Therefore, the quadratic regression models that take the interaction effects of the parameters into consideration are established. The validity of the models is proved with the comparisons between the measured and calculated Sa and Sz. The equivalent circuit models are proposed on the basis of the shape characteristics of the impedance spectra for machined surfaces. The estimations from the circuit models reveal the superiority in the corrosion resistances of face‐milled surfaces with the optimized surface roughness.

An Investigation of the Work Hardening Behavior in Interrupted Cutting Inconel 718 under Cryogenic Conditions

The severe work hardening phenomenon generated in the machining of Inconel 718 is harmful to continue cutting processes, while being good for the component’s service performance. This paper investigates the performance of cryogenic assisted machining used in the cutting processes, which can reduce the waste of fluids. The influence of dry and cryogenic machining conditions with different cutting speeds on the work hardening layer is investigated based on the interrupted cutting of Inconel 718. Cutting temperature distribution obtained from simulations under different conditions is used to discuss the potential mechanism of work hardening. Then, the depth of work hardening and degree of work hardening (DWH) are investigated to analyze the surface deformation behavior, which strengthens the machined surface during metal cutting processes. From the cutting experiments, the depth of the work hardening layer can reach more than 60 μm under the given cutting conditions. In addition, a deeper zone can be obtained by the cooling of liquid nitrogen, which may potentially enhance the wear performance of the component. The results obtained from this work can be utilized to effectively control the work hardening layer beneath the surface, which can be applied to improve the service performance.

A research on machining parameters during dry machining of Ti-6Al- 4V alloy

Aerospace structural components made of titanium alloy (Ti6Al4V) material requires end milling operations to achieve the required tolerance limits. Selection of optimal machining parameters to attain the desired surface quality and better tool life are the most critical task during finish machining of titanium alloys at dry machining conditions. Usually dry machining generates a very high cutting temperature and cutting force (feed force and tangential force) which affects the surface quality and tool life. In this research investigation, the effect of feed rate and depth of cut on cutting forces, temperature and surface roughness were analyzed during the machining of Ti6Al4V work-piece material. The experiments were carried out under dry machining conditions based on full factorial design with a milling tool named 3 fluted tungsten carbide end mill cutter coated with TiN. The selected feed rates for the experiments are 0.03, 0.06, 0.09 and 0.12 mm/rev and the depth of cut are 0.5, 0.75, 1 and 1.25 mm with a constant cutting speed of 40 m/min. By from the machining research it was found that feed of 0.06 mm/tooth and depth of cut of 0.75 can be chose for machining of titanium alloy. The cutting force was found by using peak and valley points acquired from the dynamometer for the postulated machining time. Moreover, it is observed that feed rate has the higher influence on cutting force and temperature when compared to depth of cut.

Effect of dipped cryogenic approach on thrust force, temperature, tool wear and chip formation in drilling of AZ31 magnesium alloy

Magnesium alloys tend to have inflammable nature and chip self-ignition at high cutting speeds under dry machining condition, although they can be easily machined with good surface quality. In the drilling process, cooling and lubrication have a critical impact as it controls heat generation, tool wear, surface quality, and cutting force. In the present study, drilling tests on AZ31 magnesium alloy were performed with dry and cryogenic conditions at various feed rates and cutting speeds. The effect of dipped cryogenic application during drilling on thrust force, temperature, tool wear, and chip formation were investigated. The results showed that the applied cryogenic drilling method provided less tool wear, smaller chips and reduced amount of adhesions. Drilling tests performed in the cryogenic environment increase the thrust forces by 32 %–39 % compared to dry cutting. Spark and chip ignition were not observed even at high cutting speeds during dry cutting.

A comparative study on the machining characteristics on turning AISI 52100 alloy steel in dry and microlubrication condition

ABSTRACT This paper elucidates the outcome of machining factors specifically cutting velocity, feed rate and depth of cut on the machining characteristics such as surface roughness and tool-work interface temperature while turning cylindrical AISI 52100 steel alloy components in dry and microlubrication machining conditions. The experiments are designed based on the Taguchi’s L25(53) orthogonal array and conducted on an All Geared Lathe, simultaneously the tool-work interface temperature was observed using a K-type tool-work thermocouple and subsequently, a mathematical model was developed for the tool-work interface temperature values through regression analysis. The surface roughness of the turned steel alloy components is deliberated by means of a precise surface roughness apparatus. A prediction model in lieu of average surface roughness is created by means of nonlinear regression examination with the aid of MINITAB software. The most favourable machining settings are recognised by Taguchi’s method and verified with a confirmation trial. The results revealed that machining under microlubrication condition exhibited lesser temperature at the tool-work interface and the quality of the machined components also exhibits lesser roughness when compared with components of dry machining condition.

Role of cutting fluids under minimum quantity lubrication: An experimental investigation of chip thickness

Machining plays an important role in the industrial process of the economy through the way it contributes around 5% of the country’s total economy. Various shapes of final products from raw material are processed by machining, which in turn leads to the formation of chips. Chip is an important aspect should be studied to know in-depth about machining conditions. Parameters to be explored by chip investigation are mainly include; specific energy, interfaces between chip and tool and work material behaviour during machining. AISI 4340 hardened steel material is used for chip investigation in present experimentation. Some of the adverse common issues with this steel machining are high temperature, extreme tool wear and sudden tool failure; which can be eliminated using sustainable machining practices such as application of Minimum Quantity Lubrication (MQL) with bio cutting fluids. This paper emphasizes upon the experimental investigations of chip thickness to reveal the various relevant parameters such as shear angle, specific energy required for machining and cutting force. Better performance of coconut oil was observed in terms of minimum chip thickness and maximum shear angle at higher cutting speed, when compared it with canola oil and soybean oil. For further investigation and study; results of bio cutting fluids are compared with synthetic oil and dry machining conditions. Entire experimentation was carried out under MQL environment except for one experimental observation in the dry state for comparison.

Istraživanje mikrostrukture, mehaničkih svojstava i obradljivosti hibridnog nanokompozita na bazi Al7075/SiC/h i BN proizvedenog livenjem istiskivanjem uz pomoć ultrazvuka

The present research article deals with the microstructure, mechanical properties and machinability investigation of squeeze-cast Al7075 and Al7075/SiC/h-BN hybrid nanocomposite. The Al7075 alloy nanocomposite has been reinforced by micro-size SiC (1 wt.%) particles and h-BN (0.5 wt.%) nanoparticles, prepared via ultrasonic-assisted melt-stirring approach. In order to achieve the better mixing of reinforcements, diminish the agglomeration effect of nanoparticles and improved wettability of the particles in the melt, SiC and h-BN powders have been ball-milled for the duration of 4 h. The microstructural investigation of the prepared nanocomposite was carried out by using optical microscopy (OM), scanning electron microscopy (SEM) and x-ray mapping analysis. The x-ray mapping and optical microscopic analysis show good dispersion uniformity of reinforcements and refinement in the grain sizes. The investigation of mechanical properties of hybrid nanocomposite shows the significant improvement of about 35.33 %, 21.69 %, 13.87 % and 12.27 % in the offset yield strength, ultimate tensile strength, Rockwell hardness and microhardness (Vickers), respectively. Furthermore, the machinability analysis has been performed to examine the influence of several machining parameters such as cutting speed, feed rate and depth of cut on the surface roughness, cutting force and chips length of the squeeze-cast hybrid nanocomposites under dry and minimum quantity lubrication (MQL) machining conditions. The outcomes of the machinability analysis for hybrid nanocomposites are compared with the Al7075 specimen and discussed.

Investigating the microstructure and morphology of chips in dry, flood coolant and MQL machining of Ti-6Al-4V alloy

The objective of this research is to investigate the morphology and microstructure of the chips formed during milling of Ti-6Al-4V alloy using conventional flood coolant and sustainable dry and MQL machining conditions. It was found that the chips formed in dry machining suffered a higher degree of serration indicating higher chip temperature and ineffective cooling of the chips. The bi-modal structure of Ti-6Al-4V remained the same in the bulk part of the chips. However, phase transformations were seen for all three machining conditions at the shearing plane of the chips. The chips formed in dry machining had comparatively higher percentage of β-phase due to phase transformation. For the chips obtained in flood coolant machining, the transformed β-phase possibly returned to martensitic α-phase due to rapid cooling. The MQL machined chips had the least transformation of β-phase, indicating minimal changes in mechanical properties of the machined parts in sustainable MQL machining.

The Effect of Mechanical Properties and the Cutting Parameters on Machinability of AISI 5140 Steel Cooled at High Cooling Rates After Hot Forging

In this study, the effect of mechanical properties and cutting parameters (Cp) on the machinability of AISI 5140 steel cooled at high cooling rates after hot forging was investigated. The microstructural examinations and hardness measurements of the as-received AISI 5140 steel and the workpieces cooled in the oil and polymerized water after hot forging were performed. Turning process was conducted by using a coated ceramic tool at five different cutting speeds (Vc) (120, 150, 180, 210, and 240 m/min), four different feed rates (fn) (0.04, 0.08, 0.12, and 0.16 mm/rev), and four different depths of cut (ap) (0.4, 0.6, 0.8, and 1 mm) under dry machining conditions. SEM examinations of the cutting tools were also performed. It was seen from the results that the changing microstructure and hardness values had a significant effect on cutting forces (Fc) and surface roughness (Ra) from the Cp depending on cooling rate. While the highest Fc were reached in the workpiece with the highest hardness cooled in the polymerized water after hot forging, the lowest surface roughness (Ra) was obtained in the same workpiece.

Assessment of tool wear and microstructural alteration of the cutting tools in conventional and sustainable slot milling of Ti-6Al-4V alloy

This research presents both qualitative and quantitative analyses of tool wear during slot milling of Ti-6Al-4V alloy under conventional flood coolant and sustainable dry and minimum quantity lubrication (MQL) machining conditions. The microstructures of the cutting tools near the cutting edges have been analyzed for understanding the effectiveness of tool coating and the influence of tool wear and machining conditions on the tool microstructure. The abrasion wear was measured using maximum flank wear (VBmax) and the length over which the flank wear occurred. The chipping wear was measured using the surface area of the material chipped off from the cutting edge or tool nose. In addition, the correlations between the abrasion and chipping wear with plastic failure were investigated. It was found that the average magnitudes of VBmax and length were lower in MQL machining. The calculations of the surface area of chipped materials indicate comparatively lower chipping wear in MQL machining. Both the abrasion and chipping wear occurred along with plastic failure, indicating correlations among those wear mechanisms. It turned out that the TiAlN-coating was more effective in the reduction of tool wear under dry machining conditions. Delamination wear was observed under flood and MQL conditions, illustrating the effectiveness of coated tools under dry machining conditions. The microstructural analysis of the worn-out uncoated tools indicates plastic deformation and grain refinement underneath the tool wear, whereas this effect is less severe in coated tools. Conclusively, sustainable dry machining with TiAlN-coated tools and MQL machining resulted lesser tool wear, indicating the effectiveness of sustainable machining processes for Ti-6Al-4V alloy.

Correction to: Influence of dry and solid lubricant-assisted MQL cooling conditions on the machinability of Inconel 718 alloy with textured tool

Machinability of Ni-based aerospace alloy is considered to be difficult due to its numerous intrinsic properties. However, the machining performance of nickel-based alloys can be improved with the geometric alteration on the tool rake zone and by the proper cooling-lubrication mechanism. However, the complete consideration of the proper mechanisms is required. To fill this gap, the impact of cutting speed, machining time, and tool texturing was thoroughly inquired about along with cooling conditions on machinability indices such as tool wear, chip morphology, and cutting forces as well as surface finish. The machining tests were done with textured tools on Inconel 718 alloy at cutting speeds 80, 120, and 180 m/min respectively. Then, the comparison of machining characteristics with or without using solid lubrication mixed minimum quantity lubrication system were made. For that, the time of cutting was restricted to 10 min for comparison purposes. For machining at 80 and 180 m/min, the noteworthy reduction in flank and crater wear was observed, whereas at 120 m/min, small reduction is seen from 1 to 10 min under NFMQL condition. The surface roughness was found to be higher under a dry environment compared to a NFMQL environment due to the low coefficient of friction of MoS2 at a constant feed rate with an increase in cutting speed. The worst surface finish with maximum of 28.17% difference under dry machining condition was observed. It was clearly seen that the blend of canola oil mixed with MoS2 particles improved the cooling and friction at the cutting zone. In addition, analysis on the scanning electron microscope (SEM) has been done on the worn tools for better comprehension of tool wear during turning of Inconel 718 alloy. Finally, it has been reported that the performance of the textured tool under solid lubrication conditions is better to achieve a lower tool wear (Vb), surface roughness (Ra), cutting forces, and acceptable form of chips.