The estimation of cutting force coefficients in milling of thin-walled parts using cutter with different tooth radii

Dong, Xinfeng; Zhang, Weimin; Sun, Jiayi

doi:10.1177/0954405414548498

Cited by 8 publications

(7 citation statements)

References 15 publications

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“…Replace f z with f ′ z in Eqs. (5) and (9), the calculation formula of the instantaneous cutting area of the insert is obtained:…”

Section: Establishment Of Dynamic Cutting Force Modelmentioning

confidence: 99%

“…Matsumura et al [8] established the prediction model of cutting force based on chip flow model and energy dissipation model in the milling process of complex shape section. Dong et al [9] predicted the cutting forces during milling thin-walled part using different diameter milling cutters. Ghorbani et al [10] established the milling force model of circular insert adopting the method of unit cutting force coefficient.…”

Section: Introductionmentioning

confidence: 99%

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Experiment and model of cutting force of heavy-duty milling water chamber head material

Cheng

Yuan

et al. 2019

SN Appl. Sci.

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The cyclic impact load of cutting force is one of the main factors that lead to the insert failure during the milling process. According to the asymmetrical heavy-duty milling process of water chamber head, the simulation milling experiments using actual machining parameters are conducted under laboratory conditions, and the change rule of milling force with cutting parameters is analyzed. Moreover, the simulation of interrupted cutting is carried out to study the cycle changes of cutting force and stress distribution of insert during the insert cutting-in and cutting-out workpiece. The dynamic cutting force model is established by considering the irregularity of the cutting area of circular insert and the variation of asymmetric milling thickness. Based on the analysis of comparison between the calculated value of the model and the experimental value, the cutting force model can describe the dynamic change of cutting force in milling process. It is of great significance to analyze and master the changing trend of dynamic cutting force for the study of insert failure and the formulation of reasonable processing parameters in milling process.

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“…Replace f z with f ′ z in Eqs. (5) and (9), the calculation formula of the instantaneous cutting area of the insert is obtained:…”

Section: Establishment Of Dynamic Cutting Force Modelmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Experiment and model of cutting force of heavy-duty milling water chamber head material

Cheng

Yuan

et al. 2019

SN Appl. Sci.

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show abstract

“…For machine tool, in the whole workspace, the stiffness and dynamic behavior nearly remain steady, so machining stability and chatter suppression, which are concerned with multiple factors, are research emphasis [10][11][12]. However, for industrial robot, current researches focus on the characteristic of robot itself.…”

Section: Introductionmentioning

confidence: 99%

Natural Frequency Prediction Method for 6R Machining Industrial Robot

2020

Self Cite

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The industrial robot machining performance is highly dependent on dynamic behavior of the robot, especially the natural frequency. This paper aims at introducing a method to predict the natural frequency of a 6R industrial robot at random configuration, for improving dynamic performance during robot machining. A prediction model of natural frequency which expresses the mathematical relation between natural frequency and configuration is constructed for a 6R robot. Joint angles are used as input variables to represent the configurations in the model. The quantity and range of variables are limited for efficiency and practicability. Then sample configurations are selected by central composite design method due to its capacity of disposing nonlinear effects, and natural frequency data is acquired through experimental modal test. The model, which is in form of regression equation, is fitted and optimized with sample data through partial least square (PLS) method. The proposed model is verified with random configurations and compared with the original model and a model fitted by least square method. Prediction results indicate that the model fitted and optimized by PLS method has the best prediction ability. The universality of the proposed method is validated through implementation onto a similar 6R robot.

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“…24 The calculation process of actual cutting force coefficients was proposed based on the imprecise estimation of cutting force coefficients in milling of thin-walled part using cutter with different tooth radii. 27 For multi-axis milling process, due to the complex of milling cutter, cutting force coefficient is generally identified through transformation from orthogonal to oblique.…”

Section: Introductionmentioning

confidence: 99%

A generalized cutting force model for five-axis milling processes

Song

Liu

et al. 2017

Proceedings of the Institution of Mechanical Engineers, Part B:

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A generalized mechanical model is proposed to predict cutting forces for five-axis milling process of sculptured surfaces with generalized milling cutter, which is considered as a revolution around tool axis of an arbitrary section curve composed of variable lines and curves. Solid-analytical-based method is presented and extended to precisely and efficiently identify the cutter–workpiece engagements between the generalized milling cutter and workpiece being machined. And the undeformed chip thickness is calculated with respect to pre-defined tool coordinate system, which is regarded as the transformation form of feed cross–feed normal system by lead and tilt angles. Although only two experimental validations (peripheral milling with cylinder end mill and multi-axis milling with ball end mill) are performed to estimate the robustness and flexibility of the method presented, it can be applied for an arbitrary mill geometry in multi-axis milling as well as three-axis milling, two-and-a-half-axis milling. Finally, a case study of aero-engine impeller five-axis milling with ball end mill is performed to further illustrate the validation of the model.

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The estimation of cutting force coefficients in milling of thin-walled parts using cutter with different tooth radii

Cited by 8 publications

References 15 publications

Experiment and model of cutting force of heavy-duty milling water chamber head material

Experiment and model of cutting force of heavy-duty milling water chamber head material

Natural Frequency Prediction Method for 6R Machining Industrial Robot

A generalized cutting force model for five-axis milling processes

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