Experimental and analytical research on relationship between tool life and vibration in cutting process

Ghorbani, Siamak; Kopilov, Vladimir V.; Полушин, Н. И.; Rogov, V. A.

doi:10.1016/j.acme.2018.01.007

Cited by 24 publications

(9 citation statements)

References 43 publications

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“…Additionally, Figure 11 shows the drastic increase of S/N ratios for X-direction peak amplitude with the change of feed rate (f), which eventually represents that feed rate is the significant contributor to X-direction vibration. Taguchi's the smaller the better quality characteristic has been utilized to optimize the X-direction peak vibration amplitude in terms of cutting parameters because a lower vibration amplitude value is desired for longer tool life (Ghorbani et al ., 2018).…”

Section: Analysis and Resultsmentioning

confidence: 99%

Investigation of the effect of vibration in the multi-objective optimization of dry turning of hardened steel

Ahmed

Juberi

Bari

et al. 2023

IJIEOM

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PurposeThis study aims to investigate the effect of vibration on ceramic tools under dry cutting conditions and find the optimum cutting condition for the hardened steel machining process in a computer numerical control (CNC) lathe machine.Design/methodology/approachIn this research, an integrated fuzzy TOPSIS-based Taguchi L9 optimization model has been applied for the multi-objective optimization (MOO) of the hard-turning responses. Additionally, the effect of vibration on the ceramic tool wear was investigated using Analysis of Variance (ANOVA) and Fast Fourier Transform (FFT).FindingsThe optimum cutting conditions for the multi-objective responses were obtained at 98 m/min cutting speed, 0.1 mm/rev feed rate and 0.2 mm depth of cut. According to the ANOVA of the input cutting parameters with respect to response variables, feed rate has the most significant impact (53.79%) on the control of response variables. From the vibration analysis, the feed rate, with a contribution of 34.74%, was shown to be the most significant process parameter influencing excessive vibration and consequent tool wear.Research limitations/implicationsThe MOO of response parameters at the optimum cutting parameter settings can significantly improve productivity in the dry turning of hardened steel and control over the input process parameters during machining.Originality/valueMost studies on optimizing responses in dry hard-turning performed in CNC lathe machines are based on single-objective optimization. Additionally, the effect of vibration on the ceramic tool during MOO of hard-turning has not been studied yet.

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Section: Analysis and Resultsmentioning

confidence: 99%

Investigation of the effect of vibration in the multi-objective optimization of dry turning of hardened steel

Ahmed

Juberi

Bari

et al. 2023

IJIEOM

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“…[38,39] used the spindle load as a data source to predict the RUL of the tool; ref. [40][41][42][43][44][45] used vibration signals as the basis of the data-driven model to achieve RUL prediction. The above studies are based on a single data type.…”

Section: Verifying the Validity Muti-information Fusion Strategy And ...mentioning

confidence: 99%

A Machining State-Based Approach to Tool Remaining Useful Life Adaptive Prediction

Meng

Zhong-chao

et al. 2020

Sensors

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The traditional predictive model for remaining useful life predictions cannot achieve adaptiveness, which is one of the main problems of said predictions. This paper proposes a LightGBM-based Remaining useful life (RUL) prediction method which considers the process and machining state. Firstly, a multi-information fusion strategy that can effectively reduce the model error and improve the generalization ability of the model is proposed. Secondly, a preprocessing method for improving the time precision and small-time granularity of feature extraction while avoiding dimensional explosion is proposed. Thirdly, an importance coefficient and a custom loss function related to the process and machining state are proposed. Finally, using the processing data of actual tool life cycle, through five evaluation indexes and 25 sets of contrast experiments, the superiority and effectiveness of the proposed method are verified.

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“…The Archard abrasive application model is usually used to simulate the forging process and adjudge the qualitative and quantitative changes in the geometry of forging tools [19][20]. A number of studies have shown that trying to adjust the wear described by the Archard model to a practical mechanism without considering the applicable wear mechanism [21][22][23]. For radial forging of shafts or pipes, FEM can be used to analyze the in uence of the mold joint on the deformed cross-section [24].…”

Section: Introductionmentioning

confidence: 99%

Optimization of Controllable Deformation Zone And Die Wear of Aluminum Crown Forgings For Shock Absorber Assembly

Shih

et al. 2021

Preprint

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In this research, numerical analysis, response surface method (RSM) and experiments are used to investigate and verify the hot forging process for manufacturing aluminum crown forgings for shock absorber assembly. First, establish the computer aided design (CAD) model of the die and the billet, and simulate it from the finite element method (FEM). Second, a new preforming die was designed with a preformed dressing of controllable deformation zone (CDZ) by the CAD software. Third, numerical simulation was combined with RSM to optimize the processing parameters with the aim of minimizing the die wear while the integrity of forgings should be prioritized preserved. According to RSM, the billet size and preformed dressing of CDZ are important factors affecting the distance between die and workpiece (C). The optimal design factor of the preforming die: billet diameter (D), billet length (L) and flash design (F) are 40 mm, 205 mm and CDZ 1, respectively. Through the results of FEM, this study describes the distribution of microscopic grain flow lines are highly related to forming, stress, strain, and temperature as well as die design such as CDZ in preformed dressing. In order to accurately verify that the parameters analyzed by the RSM, both numerical analysis and physical experiments are carried out and optimal scheme exhibit reasonable consistency.

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Experimental and analytical research on relationship between tool life and vibration in cutting process

Cited by 24 publications

References 43 publications

Investigation of the effect of vibration in the multi-objective optimization of dry turning of hardened steel

Investigation of the effect of vibration in the multi-objective optimization of dry turning of hardened steel

A Machining State-Based Approach to Tool Remaining Useful Life Adaptive Prediction

Optimization of Controllable Deformation Zone And Die Wear of Aluminum Crown Forgings For Shock Absorber Assembly

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