The Effect of Tool Construction and Cutting Parameters on Surface Roughness and Vibration in Turning of AISI 1045 Steel Using Taguchi Method

Александрович, Рогов Владимир; Ghorbani, Siamak

doi:10.4236/mme.2014.41002

Cited by 12 publications

(5 citation statements)

References 11 publications

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“…The cutting depth ap does not affect the residual stress for lower values, so the corrosion behavior of stainless steel was more stable in this range [30]. Nevertheless, for greater values, the vibration increases with the increase in the cutting depth [31]. Therefore, the residual stress was appeared and accelerates the corrosion reaction of the workpiece.…”

Section: Corrosion Resistancementioning

confidence: 93%

Effect of Machining Process in Superfinish Turning on the Corrosion Behavior of UNS S31600 Stainless Steel in 6% NaCl Solution

Ech-charqy¹,

Gziri²,

Essahli³

2016

Port. Electrochim. Acta

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The influence of surface topography and cutting parameters on the corrosion resistance of stainless steel UNS S31600 in a 6% NaCl solution is addressed in the present study. Surface topography has been modified by changing the conditions parameters of superfinish turning, including feed, cutting speed and depth of cut, and their correlations with corrosion resistance have been examined. The results showed that the depth of cut is correlated with the corrosion potential. Moreover, the increase of cutting speed degrades the corrosion resistance and increases the corrosion potential in the anodic phase. In its turn, the polarization resistance increases in a manner correlated with increasing the surface quality.

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Section: Corrosion Resistancementioning

confidence: 93%

Effect of Machining Process in Superfinish Turning on the Corrosion Behavior of UNS S31600 Stainless Steel in 6% NaCl Solution

Ech-charqy¹,

Gziri²,

Essahli³

2016

Port. Electrochim. Acta

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“…where, n is the number of trials, while y 2 i is the measurement value [42]. The tuning results show that the MCC ANN structure can work optimally when using the combination of hidden layer parameters and neurons of three layers and seven neurons, respectively.…”

Section: Optimization Processmentioning

confidence: 99%

Design of Metallic Catalytic Converter using Pareto Optimization to Improve Engine Performance and Exhaust Emissions

Ariyanto

Suprayitno

Wulandari

2023

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In this paper, Metallic Catalytic Converter (MCC) is installed in motorcycle exhausts to produce the minimum CO as well as to produce the optimum engine power. The results from previous research were collected and then used to predict the best MCC design using the Artificial Neural Network Multi-Objective Genetic Algorithm (ANN-MOGA). In addition, the ANN parameter tuning process was also carried out using the Taguchi method to find the initial weighting and bias that is able to provide the best and the most stable performance to predict the best MCC design. The best two sets of design solutions out of 70 sets of Pareto solutions were obtained by ANN-MOGA. Those two MCC designs are the optimum emission design and the optimum multi-objective design. The verification results show that the optimum multi-objective design tends to be superior in terms of CO emissions and engine power. In terms of CO emissions, the optimum multi-objective design gets a larger S/N ratio of -10.98, while the optimum emission design only gets an S/N ratio of -11.21. Meanwhile, in terms of engine power, the optimum multi-objective design gets a larger S/N ratio of 16.13, while the optimum emission design only gets an S/N ratio of 15.86 S/N. It is in line with the ANOVA test results which show that the optimum multi-objective design is proven to be better than the optimum emission design.

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“…10 Normal probability plot for acceleration amplitude 1050 steel, the feed rate (28.8 %) was found to be more effective than the cutting speed (10.1 %) [10]. In the turning of AISI 1045 steel, the main cutting parameters of cutting speed, feed rate, and chip depth had no significant effect, while the most effective parameter was shown to be tool overhang (93.07 %) [12]. Contrary to the work conducted by Aleksandrovich and Siamak, the main effect of the drill length (tool overhang) was calculated as less than 1 % in the present study.…”

Section: Predictive Equation and Analysis Of Variance For Acceleratiomentioning

confidence: 99%

“…All of the parameters selected by the authors affected the length of critical chatter, i.e., by increasing all parameters, chatter length decreased. Aleksandrovich and Siamak [12] investigated the effects of cutting conditions and tool construction on the surface roughness and natural frequency in the turning of AISI 1045 steel. They determined that tool overhang was the most effective parameter on natural frequency.…”

Section: Introductionmentioning

confidence: 99%

The effects of process parameters on acceleration amplitude in the drilling of cold work tool steels

Kaplan

Motorcu

Nalbant

et al. 2015

Int J Adv Manuf Technol

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This study investigated the effects of process parameters on acceleration amplitude in the drilling of AISI D2 and AISI D3 cold work tool steels using HSS twist drills of two different lengths. Workpiece hardness, drill length/tool overhang, cutting speed, feed rate, and number of holes drilled were chosen as the process parameters. In the tests made by using the full factorial (FF) design technique, the values of induced machining vibrations occurring on the workpiece during drilling were specified as the acceleration amplitude. Measurement results were evaluated by linear regression analysis, and a second-order equation was developed for the prediction of the acceleration amplitude. The correlation coefficient of the predictive equation at a 95 % confidence level was calculated as R 2 =0.703. The main and interaction effects of the process parameters on the acceleration amplitude were evaluated, and the percentage contributions of the process parameters to the acceleration amplitude were determined by variance analysis. In addition, scanning electron microscope (SEM) and optical microscope images of the drill wear were taken, and the wear characteristics and acceleration amplitude were correlated. The most effective parameters on acceleration amplitude were determined as the number of holes drilled, workpiece hardness, cutting speed, and feed rate. No significant effect of drill length/tool overhang was observed. With increasing cutting speed, number of holes drilled and the drill length/tool overhang, the acceleration amplitude values increased, although they decreased with increasing workpiece hardness.

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The Effect of Tool Construction and Cutting Parameters on Surface Roughness and Vibration in Turning of AISI 1045 Steel Using Taguchi Method

Cited by 12 publications

References 11 publications

Effect of Machining Process in Superfinish Turning on the Corrosion Behavior of UNS S31600 Stainless Steel in 6% NaCl Solution

Effect of Machining Process in Superfinish Turning on the Corrosion Behavior of UNS S31600 Stainless Steel in 6% NaCl Solution

Design of Metallic Catalytic Converter using Pareto Optimization to Improve Engine Performance and Exhaust Emissions

The effects of process parameters on acceleration amplitude in the drilling of cold work tool steels

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