Statistical and Regression Analysis of Vibration of Carbon Steel Cutting Tool for Turning of EN24 Steel Using Design of Experiments

Aherwar, Amit; Unune, Deepak Rajendra; Pathri, Bhargav; Kishan, Jai

doi:10.14810/ijmech.2014.3312

Cited by 9 publications

(4 citation statements)

References 19 publications

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“…Jurković et al [13] conducted the tests of rolling steel sheets where the output parameter, forming force-roll load, are mathematically modeled by the regression analysis of various input parameters such as tensile strength, sheet thickness and sheet width where regression analysis proved to be a reliable and accurate method. The research [14] confirms the regression analysis method as a very good method for obtaining mathematical models in determining the influence of cutting speed, feed rate and depth of cut on cutting tool vibration in different directions on carbon steel. The obtained regression mathematical models for vibration of cutting tool with machining parameters have shown a very good match between the results predicted from the developed models and the experimental ones.…”

Section: Introductionsupporting

confidence: 66%

Mathematical Modeling of the Influence Parameters During Formation and Propagation of the Lüders Bands

et al. 2020

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In this study, an analysis of the influence parameters measured by the static tensile test, thermography and digital image correlation was performed during formation and propagation of the Lüders bands. A new approach to the prediction of stresses, maximum temperature changes and strains during the Lüders band formation and propagation is proposed in this paper. Application of the obtained mathematical models of influence parameters gives a clear insight into the behavior of niobium microalloyed steel at the beginning of the plastic flow, which can improve product quality and reduce costs during the forming of microalloyed steels with the appearance of the Lüders bands. The obtained models of influential parameters during formation and propagation of the Lüders bands have been developed by the regression analysis method. The proposed mathematical models showed low deviations of calculated results ranging from 1.34% to 12.37%.The local stress amounts, important in the forming of microalloyed steels since indicating surface roughness and plastic flow possibilities during the Lüders band propagation, are obtained by the mathematical model. It was found that stress amounts increase during the Lüders band propagation in the area behind the Lüders band front. The difference in stress amount between the start of the Lüders band propagation and advanced Lüders band propagation is 25.53 MPa.

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Section: Introductionsupporting

confidence: 66%

Mathematical Modeling of the Influence Parameters During Formation and Propagation of the Lüders Bands

et al. 2020

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“…The ANOVA is largely used to analyse the effects of factors on responses [43,44]. In this case, to obtain confidence in the results presented in the previous section, two-factor ANOVA was performed to determine if the output parameters (surface roughness, vibration RMS and RMSD index) were significantly affected by the input parameters (v w and a e ), and the results are shown in Table 2.…”

Section: Statistical Analysis Through the Variance By Anovamentioning

confidence: 99%

Feature extraction using frequency spectrum and time domain analysis of vibration signals to monitoring advanced ceramic in grinding process

O.C.¹,

Aguiar²,

Foschini³

et al. 2019

IET Science, Measurement & Technology

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“…Sensing is crucial when developing a TCM system and researchers prefer the most force and vibration signals for the insight they provide into the dynamics of the machining process and benefits for TCM. Aherwar et al (2014), presented a paper in which statistical methods were used to study the effects of cutting speed, feed rate and depth of cut (DOC) on the vibrations of the cutting tool in the axial and tangential directions. They stated that machining processes are complex and many variables can affect the results with cutting tool vibration being the most decisive phenomenon.…”

Section: Introductionmentioning

confidence: 99%

Vibration measurement of a cutting tool using root-embedded PZT sensor

Haddad

Al‐Bedoor

2020

JQME

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PurposeIn this paper, a vibration measuring technique that relies on the use of piezoelectric material and is originally developed to measure the vibration of turbine blade is adopted to measure the vibration of cutting tool in turning. The piezoelectric material is embedded at the root of the cutting tool. The scope of this research is to investigate the feasibility of using this technique by first conducting ANSYS simulation to solve the coupled field equations that govern the piezoelectric phenomenon followed by experimental work to compare the measured data with those obtained by conventional method to have an insight into the effectiveness of the adopted technique. Both simulation and experimental results show that the use of an embedded PZT sensor at the root of cutting tool is very useful for measuring vibration and can be used for further cutting operation control. In addition, it has captured more information than conventional vibration measurement techniques.Design/methodology/approachVibration measurement of root-embedded PZT material to convert the dynamic cutting forces into vibration signals that can be used in cutting process optimization and improvement of cutting quality.FindingsPZT material is found to be very responsive to high-frequency vibrations such that it can catch Chatter phenomena and can be used in developing control strategies.Research limitations/implicationsMainly used for turning cutting process in this research. Other manufacturing process like milling special tool holder designs.Practical implicationsCan be used as online monitoring systems for cutting tool holders.Social implicationsEngineer and technician aid in quality assurance and control.Originality/valueThe new approach of embedding PZT material at the cutting tool root and the signals presentation and processing.

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Statistical and Regression Analysis of Vibration of Carbon Steel Cutting Tool for Turning of EN24 Steel Using Design of Experiments

Abstract: Machining is a convoluted process in which many variables can deleterious the desired results. Among them, cutting tool vibration is the most decisive phenomenon which influences dimensional precision of the

Cited by 9 publications

References 19 publications

Mathematical Modeling of the Influence Parameters During Formation and Propagation of the Lüders Bands

Mathematical Modeling of the Influence Parameters During Formation and Propagation of the Lüders Bands

Feature extraction using frequency spectrum and time domain analysis of vibration signals to monitoring advanced ceramic in grinding process

Vibration measurement of a cutting tool using root-embedded PZT sensor

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