Optimising the effect of cutting parameters on the average surface roughness in a turning process with the Taguchi method

This paper presents the optimization of multiple performance characteristics (surface roughness and workpiece surface temperature) based on the Taguchi method. Three controllable factors of the turning process were studied at three levels. The single objective optimization was conducted using Taguchi method. The multiple Signal-to-Noise (MSNR) value was used to correspond to multi objective cases. The optimum combination of cutting parameters was obtained based on the highest value of MSNR.

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IMPROVEMENT OF SURFACE ROUGHNESS DURING TURNING OF PRE-HEATED MILD STEEL USING VOICE ACTIVATED ULTRASONIC WAVES

Jurnal Teknologi ◽

10.11113/jt.v76.5698 ◽

2015 ◽

Vol 76 (6) ◽

Cited By ~ 1

Author(s):

Anayet U Patwari ◽

Mohammad Ahsan Habib ◽

Md. S. I. Chowdhury ◽

Afzal H. Neelav ◽

Md. Sharfat Latif ◽

...

Keyword(s):

Surface Roughness ◽

Mild Steel ◽

Ultrasonic Waves ◽

Great Promise ◽

Hybrid Technique ◽

Average Surface Roughness ◽

Sound Waves ◽

Turning Process ◽

Machined Surface ◽

Average Surface

Surface roughness represents the dimensional accuracy of the finished product and is one of the most important quality parameters of the finished product. For improvement of the surface quality several techniques like magnetic field, ultrasonic assisted turning and so on has been introduced. Ultrasonically Assisted Turning has been one of the techniques which showed great promise. It is a hybrid technique based on superimposition of ultrasonic vibration on a movement of a cutting tool in turning process. In this paper, a new technique using the concept of voice activated mode generated ultrasonic smart waves has been proposed and adopted with an aim to improve average surface roughness of the preheated machined surface of mild steel. Externally voice activated ultrasonic sound waves were applied during turning process of preheated mild steel and its effect on average surface roughness was studied. Experimentations were carried out under different ultrasonic frequencies to determine the surface roughness to the best degree possible. The experimental results showed significant improvements in surface roughness in preheated machined products.

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Prediction of Surface Roughness considering Cutting Parameters and Humidity Condition in End Milling of Polyamide Materials

Computational Intelligence and Neuroscience ◽

10.1155/2018/5850432 ◽

2018 ◽

Vol 2018 ◽

pp. 1-7 ◽

Cited By ~ 3

Author(s):

Mustafa Bozdemir

Keyword(s):

Surface Roughness ◽

End Milling ◽

Cutting Speed ◽

Cutting Parameters ◽

Processing Parameters ◽

Average Surface Roughness ◽

Ann Model ◽

Average Surface ◽

Humidity Condition ◽

The Impact

To know the impact of processing parameters of PA6G under different humidity conditions is important as it is vulnerable to humidity up to 7 %. This study investigated the effect of cutting parameters to surface roughness quality in wet and dry conditions. Artificial Neural Network (ANN) modeling is also developed with the obtained results from the experiments. Humidity condition, tool type, cutting speed, cutting rate, and depth of cutting parameters were used as input and average surface roughness value were used as output of the ANN model. Testing results showed that ANN can be used for prediction of average surface roughness.

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Application of the Taguchi method for surface roughness predictions in the turning process

Materials Testing ◽

10.3139/120.110917 ◽

2016 ◽

Vol 58 (9) ◽

pp. 782-787 ◽

Cited By ~ 8

Author(s):

Sabri Ozturk

Keyword(s):

Surface Roughness ◽

Taguchi Method ◽

Turning Process

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Ultrasonic dispersion method used in glass polishing experiment

Advances in Mechanical Engineering ◽

10.1177/16878140211011897 ◽

2021 ◽

Vol 13 (4) ◽

pp. 168781402110118

Author(s):

Zenan Chu ◽

Tao Wang ◽

Qiang He ◽

Kai Zhao

Keyword(s):

Surface Roughness ◽

Rare Earth ◽

Surface Morphology ◽

Ultrasonic Method ◽

Average Surface Roughness ◽

Polishing Process ◽

Ultrasonic Dispersion ◽

Processing Efficiency ◽

Average Surface ◽

Evaluation Indexes

To solve the problems of low processing efficiency and poor glass surface quality when using rare earth polishing powder to grind super-hard K9 glass. The potential, phase structure, surface morphology, and particle size distribution of the nano-rare earth polishing powder were characterized. Compare the evaluation indexes such as polishing efficiency, surface morphology, and contact angle after the polishing process is changed. The results of the comparative study show that the average surface roughness of the glass after heating ultrasonic polishing process is 0.9064 nm, the polishing rate reaches 0.748 μm/min, the average surface roughness of the glass without heating ultrasonic polishing process is 1.3175 nm, and the polishing rate reaches 0.586 μm/min, the ultrasonic assisted polishing process is superior to the conventional polishing process. The heating ultrasonic method provides experimental basis for precise and rapid processing.

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Analysis of tool vibration and surface roughness during turning process of tempered steel samples using Taguchi method

Proceedings of the Institution of Mechanical Engineers Part E Journal of Process Mechanical Engineering ◽

10.1177/09544089211001976 ◽

2021 ◽

pp. 095440892110019

Author(s):

Menderes Kam ◽

Mustafa Demirtaş

Keyword(s):

Surface Roughness ◽

Taguchi Method ◽

Cutting Tools ◽

Cutting Speed ◽

Machining Parameters ◽

Turning Process ◽

Machining Time ◽

Tool Vibration ◽

Control Factors ◽

Tempered Steel

This study analyzed the tool vibration (Vib) and surface roughness (Ra) during turning of AISI 4340 (34CrNiMo6) tempered steel samples using Taguchi Method. In this context, Taguchi design L18 (21 × 32) was used to analyze the experimental results. The vibration amplitude values from cutting tools were recorded for different machining parameters, control factors; two different sample hardness (46 and 53 HRc), three different cutting speeds (180, 220, 260 m.min−1), and feed rates (0.08, 0.14, 0.20 mm.rev−1) were selected. The machining parameters giving optimum Vib and Ra values were determined. Regression analysis is applied to predict values of Vib and Ra. Analysis of variance was used to determine the effects of machining parameters on the Vib and Ra values. The most important machining parameters were found to be the feed rate, sample hardness, and cutting speed for Vib and Ra, respectively. The lowest Vib and Ra values were obtained in 46 HRc sample as 0.0022 gRMS and 0.255 µm, respectively. The surface quality can be improved by reducing the sources of vibration by using appropriate machining parameters. As a result, there is a significant relationship between Ra and Vib. The lower Ra values were found during turning process of tempered steel samples according to the literature studies. It is suggested that the process can be preferred as an alternative process to grinding process due to lower cost and machining time. In application of the turning of experiment samples by ceramic cutting tool, a substantial technological and economical benefit has been observed.

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EFFECT OF ABRASIVE TYPE ON THE SURFACE ROUGHNESS AND MRR IN MAF OF AISI 304 STEEL

Surface Review and Letters ◽

10.1142/s0218625x21501225 ◽

2021 ◽

Author(s):

MAHMUT ÇELIK ◽

HAKAN GÜRÜN ◽

ULAŞ ÇAYDAŞ

Keyword(s):

Surface Roughness ◽

Removal Rate ◽

Three Dimensional ◽

Steel Plates ◽

304 Stainless Steel ◽

Average Surface Roughness ◽

Machining Time ◽

Aisi 304 ◽

Average Surface ◽

Different Levels

In this study, the effects of experimental parameters on average surface roughness and material removal rate (MRR) were experimentally investigated by machining of AISI 304 stainless steel plates by magnetic abrasive finishing (MAF) method. In the study in which three different abrasive types were used (Al2O3, B4C, SiC), the abrasive grain size was changed in two different levels (50 and 80[Formula: see text][Formula: see text]m), while the machining time was changed in three different levels (30, 45, 60[Formula: see text]min). Surface roughness values of finished surfaces were measured by using three-dimensional (3D) optical surface profilometer and surface topographies were created. MRRs were measured with the help of precision scales. The abrasive particles’ condition before and after the MAF process was examined and compared using a scanning electron microscope. As a result of the study, the surface roughness values of plates were reduced from 0.106[Formula: see text][Formula: see text]m to 0.028[Formula: see text][Formula: see text]m. It was determined that the best parameters in terms of average surface roughness were 60[Formula: see text]min machining time with 50[Formula: see text][Formula: see text]m B4C abrasives, while the best result in terms of MRR was taken in 30[Formula: see text]min with 50[Formula: see text][Formula: see text]m SiC abrasives.

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