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Tool Condition Monitoring While Using Vegetable Based Cutting Fluids During Milling of Inconel 625

S. Shankar

Department of Mechatronics Engineering, Kongu Engineering College, Perundurai, Erode 638060, India

E-mail Address: shankariitm@gmail.com

Corresponding author.

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T. Mohanraj

Department of Mechanical Engineering, Amrita School of Engineering, Amrita Vishwa Vidyapeetham, Coimbatore, India

E-mail Address: t_mohanraj@cb.amrita.edu

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, and

A. Pramanik

School of Civil and Mechanical Engineering, Curtin University, Bentley, Australia

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https://doi.org/10.1142/S0219686719500306Cited by:46 (Source: Crossref)

Abstract

This investigation has designed a tool condition monitoring system (TCM) while milling of Inconel 625 based on sound and vibration signatures. The experiments were carried out based on response surface methodology (RSM) central composite design, design of experiments. The process parameters such as speed, feed, depth of cut and vegetable-based cutting fluids were optimized based on surface roughness, flank wear. It was found that the sound pressure and vibration signatures have the direct relation with flank wear. The statistical features like root mean square, skewness, kurtosis and mean values were extracted from the experimental data. From the designed NN estimator, the cutting tool flank wear was predicted with the mean square error (MSE) of 0.084212.

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References

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Vol. 18, No. 04

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Tool Condition Monitoring While Using Vegetable Based Cutting Fluids During Milling of Inconel 625

Abstract

References

MULTI-RESPONSE OPTIMIZATION OF END-MILLING PARAMETERS FOR INCONEL 625 USING TAGUCHI COUPLED WITH TOPSIS

ESTIMATION OF SURFACE ROUGHNESS AND FLANK WEAR IN MILLING OF INCONEL 625 SUPERALLOY

EXPERIMENTAL INVESTIGATION OF COCONUT OIL WITH NANOBORIC ACID DURING MILLING OF INCONEL 625 USING TAGUCHI-GREY RELATIONAL ANALYSIS

OPTIMUM FLANK WEAR OF TiAlN-COATED TOOL: TOWARD PRODUCTIVE ROUGH CUTTING OF INCONEL 625

PERFORMANCE OF UNCOATED CARBIDE CUTTING TOOL WHEN MACHINING CAST IRON IN DRY CUTTING CONDITION

Experimental Investigation on the Effect of Tool Geometry and Cutting Conditions Using Tool Wear Prediction Model for End Milling Process

Optimization of Machining Condition in WEDM for Titanium Grade 6 Using MOORA Coupled with PCA — A Multivariate Hybrid Approach

Experimental Studies on Geometrical Accuracy During Single-Point Incremental Forming of Inconel 625 Superalloy

System Upgrade on Tue, May 28th, 2024 at 2am (EDT)

Tool Condition Monitoring While Using Vegetable Based Cutting Fluids During Milling of Inconel 625

Abstract

Recommended

MULTI-RESPONSE OPTIMIZATION OF END-MILLING PARAMETERS FOR INCONEL 625 USING TAGUCHI COUPLED WITH TOPSIS

ESTIMATION OF SURFACE ROUGHNESS AND FLANK WEAR IN MILLING OF INCONEL 625 SUPERALLOY

EXPERIMENTAL INVESTIGATION OF COCONUT OIL WITH NANOBORIC ACID DURING MILLING OF INCONEL 625 USING TAGUCHI-GREY RELATIONAL ANALYSIS

OPTIMUM FLANK WEAR OF TiAlN-COATED TOOL: TOWARD PRODUCTIVE ROUGH CUTTING OF INCONEL 625

PERFORMANCE OF UNCOATED CARBIDE CUTTING TOOL WHEN MACHINING CAST IRON IN DRY CUTTING CONDITION

Experimental Investigation on the Effect of Tool Geometry and Cutting Conditions Using Tool Wear Prediction Model for End Milling Process

Optimization of Machining Condition in WEDM for Titanium Grade 6 Using MOORA Coupled with PCA — A Multivariate Hybrid Approach

Experimental Studies on Geometrical Accuracy During Single-Point Incremental Forming of Inconel 625 Superalloy