Multi-response optimization in orthogonal turn milling by analyzing tool vibration and surface roughness using response surface methodology

Babu, Ghv Prasad; Murthy, B. S.; Venkatarao, K; Ratnam, Ch.

doi:10.1177/0954405415624349

Cited by 26 publications

(17 citation statements)

References 23 publications

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“…The plots were drawn for a confidence interval (CI) of 95%. When the data points are roughly aligned with the middle straight line and P value is greater than 0.05 and AD statistics are low, we can say that, the drawn data is distributed normally (Babu et al, 2017). Therefore, these data can be used for optimization and experimental research.…”

Section: Probability Analysismentioning

confidence: 99%

Experimental and Statistical Investigation of Drilling of Aisi 1040 Steel at Dry and Wet Conditions

Özsoy

2020

Konya Journal of Engineering Sciences

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AISI 1040 steel is widely used in the machinery and manufacturing industries and is used in a variety of machine parts, automotive parts, molds, fixtures and many other areas. Technological developments in the field of machining in recent years have led to many problems affecting machining performance. Drilling is one of the most important machining operations. In this study effect of drilling parameters such as cutting speed (15, 20 m/min), feed rate (0.1, 0.15 mm/tooth), type of drill (HSS-E, HSS-E TiN coated), drilling type (standard, pecking) and cooling type (liquid, air) were examined on AISI 1040 steel. Parameters' effects on surface roughness were investigated. Experiments were planned according to L8 orthogonal array. Optimum conditions were found via Taguchi's Signal/Noise analysis. Probability analysis was performed to discover the distribution of the measured/calculated values of the results. Lastly, confirmation tests were conducted to control the success of the optimization. The optimal conditions for surface roughness were observed at A1B2C2D1E2 (i.e., cutting speed: 15m/min, feed rate: 0.15mm/tooth, cooling type: liquid, drilling type: standard, and type of drill: HSS-ETiN coated).

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Section: Probability Analysismentioning

confidence: 99%

Experimental and Statistical Investigation of Drilling of Aisi 1040 Steel at Dry and Wet Conditions

Özsoy

2020

Konya Journal of Engineering Sciences

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“…Analyzing the signs of vibrations has been successfully used in various industrial processes [ 25 , 26 ]. Various methods were used by researchers to analyze vibration signals [ 27 , 28 , 29 ].…”

Section: Vibration Signal Analysismentioning

confidence: 99%

Vibrations in CDFW

Alcântara

Balestrassi

Gomes

et al. 2020

Entropy

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Continuous drive friction welding is a solid-state welding process that has been experimentally proven to be a fast and reliable method. This is a complex process; deformations in the viscosity of a material alter the friction between the surfaces of the pieces. All these dynamics cause changes in the vibration signals; the interpretation of these signals can reveal important information. The vibration signals generated during the friction and forging stages are measured on the stationary part of the structure to determine the influence of the manipulated variables on the time domain statistical characteristics (root mean square, peak value, crest factor, and kurtosis). In the frequency domain, empirical mode decomposition is used to characterize frequencies. It was observed that it is possible to identify the effects of the manipulated variables on the calculated statistical characteristics. The results also indicate that the effect of manipulated variables is stronger on low-frequency signals.

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“…Many times, machining problems occur due to vibrations of tool and workpiece. Researchers have reported strong correlation among surface roughness and vibrations in machining process [29][30][31]. Hence, the measurement of vibrations is essential.…”

Section: Experiments Setupmentioning

confidence: 99%

Estimation of surface roughness using cutting parameters, force, sound, and vibration in turning of Inconel 718

Deshpande

Andhare

Sahu

2017

J Braz. Soc. Mech. Sci. Eng.

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discontinuity or gradual corrosion. Therefore, surface roughness investigation is essential for number of applications concerned with the control of friction, fatigue, and wear of parts [1]. Nowadays, machines work at higher speeds and loads which need higher dimensional and geometrical accuracies along with surface quality of the finished parts like bearings, seals, shafts, machine ways, gears, etc. The ability of a manufacturing process to produce desired surface finish depends on machine tool, cutting process, cutting parameters, work material, and cutting tool [2].

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Multi-response optimization in orthogonal turn milling by analyzing tool vibration and surface roughness using response surface methodology

Cited by 26 publications

References 23 publications

Experimental and Statistical Investigation of Drilling of Aisi 1040 Steel at Dry and Wet Conditions

Experimental and Statistical Investigation of Drilling of Aisi 1040 Steel at Dry and Wet Conditions

Vibrations in CDFW

Estimation of surface roughness using cutting parameters, force, sound, and vibration in turning of Inconel 718

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