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Cogent Engineering Volume 11, 2024 - Issue 1
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Production & Manufacturing

Optimization of the tool wear and surface roughness in the high-speed dry turning of Inconel 800

Ganesha PrasadDepartment of Mechanical and Industrial Engineering, Manipal Institute of Technology, Manipal, Manipal Academy of Higher Education, Manipal, Karnataka, IndiaORCID Iconhttps://orcid.org/0000-0003-2679-565XView further author information
ORCID Icon,
G. S. VijayDepartment of Mechanical and Industrial Engineering, Manipal Institute of Technology, Manipal, Manipal Academy of Higher Education, Manipal, Karnataka, IndiaORCID Iconhttps://orcid.org/0000-0002-4301-9778View further author information
ORCID Icon,
Raghavendra C. KamathDepartment of Mechanical and Industrial Engineering, Manipal Institute of Technology, Manipal, Manipal Academy of Higher Education, Manipal, Karnataka, IndiaCorrespondence[email protected]
ORCID Iconhttps://orcid.org/0000-0002-2192-7046View further author information
ORCID Icon &
Harshit Jairaj HemmadyDepartment of Mechanical and Industrial Engineering, Manipal Institute of Technology, Manipal, Manipal Academy of Higher Education, Manipal, Karnataka, IndiaView further author information
Article: 2308993 | Received 10 Oct 2023, Accepted 18 Jan 2024, Published online: 02 Feb 2024

Figures & data

Figure 1. Overall methodology of this study.

Figure 1. Overall methodology of this study.

Figure 2. CNC turning center.

Figure 2. CNC turning center.

Figure 3. Cutting insert details.

Figure 3. Cutting insert details.

Table 1. Inconel 800 chemical composition (Gupta, Citation2018; Paul et al., Citation2019).

Table 2. CP considered in the study.

Table 3. Details of measuring instruments.

Table 4. CP and responses for the L27 experimental run.

Figure 4. SEM images of TW at various cutting speed and feed rate at depth of cut = 0.6 mm. (a) 175/0.15/0.6 (flank face). (b) 175/0.2/0.6 (flank face). (c) 200/0.2/0.6 (rake face). (d) 225/0.25/0.6 (rake face).

Figure 4. SEM images of TW at various cutting speed and feed rate at depth of cut = 0.6 mm. (a) 175/0.15/0.6 (flank face). (b) 175/0.2/0.6 (flank face). (c) 200/0.2/0.6 (rake face). (d) 225/0.25/0.6 (rake face).

Figure 5. SEM images of TW at various cutting speed and feed rate at depth of cut = 0.8 mm. (a) 200/0.15/0.8 (rake face). (b) 225/0.25/0.8 (rake face).

Figure 5. SEM images of TW at various cutting speed and feed rate at depth of cut = 0.8 mm. (a) 200/0.15/0.8 (rake face). (b) 225/0.25/0.8 (rake face).

Figure 6. SEM images of TW at various cutting speed and feed rate at depth of cut = 1 mm. (a) 200/0.15/1 (flank face). (b) 200/0.15/1 (flank face). (c) 200/0.2/1 (rake face). (d) 200/0.2/1 (flank face). (e) 225/0.25/0.5. (f) 225/0.25/0.5.

Figure 6. SEM images of TW at various cutting speed and feed rate at depth of cut = 1 mm. (a) 200/0.15/1 (flank face). (b) 200/0.15/1 (flank face). (c) 200/0.2/1 (rake face). (d) 200/0.2/1 (flank face). (e) 225/0.25/0.5. (f) 225/0.25/0.5.

Figure 7. Effect of CP on SR: (a) mean effect plot and (b) S/N ratio plot.

Figure 7. Effect of CP on SR: (a) mean effect plot and (b) S/N ratio plot.

Figure 8. Effect of CP on FW: (a) mean effect plot and (b) S/N ratio plot.

Figure 8. Effect of CP on FW: (a) mean effect plot and (b) S/N ratio plot.

Table 5. ANOVA table for SR.

Table 6. ANOVA table for FW.

Table 7. GRA table.

Figure 9. GRG plot: (a) mean effect plot and (b) S/N ratio plot.

Figure 9. GRG plot: (a) mean effect plot and (b) S/N ratio plot.

Table 8. Response table for GRG.

Table 9. ANOVA table for GRG.

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