Prediction of in-process frequency response function and chatter stability considering pose and feedrate in robotic milling

Deng, Kenan; Gao, Dong; Zhao, Chang; Lü, Yong

doi:10.1016/j.rcim.2023.102548

Cited by 19 publications

(1 citation statement)

References 35 publications

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“…Sun et al [13] used FDM to analyze the chatter stability of orthogonal turn-milling. Deng et al [14] proposed a method demonstrated by time-domain simulation of the robot-tool system and milling tests, and the effects of the running state and feed direction on chatter stability considering robot mode were analyzed. Makino et al [15] investigated the effect of tool posture on chatter vibration in 5-axis turn-milling.…”

Section: Introductionmentioning

confidence: 99%

On a simulation-based chatter prediction system by integrating relative entropy and dynamic cutting force

Vi,

Luo,

et al. 2024

Int J Adv Manuf Technol

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This paper aims to develop a simulation-based chatter prediction system using relative entropy -Kullback-Leibler Divergence (KLD), and the NC program can be modified to become non-chatter. Chatter is one of the major concerns when machining mechanical components on a CNC machine. In general, the majority of the previous research methods achieved non-chatter stable machining by assigning the appropriate machining parameters: (1) spindle speed, (2) feed rate, and (3) depth of cut based on the generated SLD (Stability Lobe Diagram). Nonchatter stable machining can also be accomplished by manually adjusting the spindle override percentage on the operation panel or the values in the CNC controller via networking once chatter is detected during the machining processes. The creation of SLD must consider two essential parameters: cutting force coefficient (CFC) and frequency response function (FRF). The CFC can be obtained from cutting experiment data related to a paired tool and workpiece, and the FRF can be calculated from the tapping test experiment. Then, the CFC and FRF are stored in the database of the developed system. The simulation-based chatter prediction calculates the KLD value based on the relativity of the dynamic cutting force and the static cutting forces so as to predict whether there is chatter in the NC program or not. The NC program can be adjusted to become non-chatter if there is chatter predicted. The proposed method has been successfully verified through on-site machining, showing very promising achievement.

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Section: Introductionmentioning

confidence: 99%

On a simulation-based chatter prediction system by integrating relative entropy and dynamic cutting force

Vi,

Luo,

et al. 2024

Int J Adv Manuf Technol

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A sensorless method for predicting force-induced deformation and surface waviness in robotic milling

Deng

Gao

Zhao

et al. 2023

Int J Adv Manuf Technol

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Subtractive manufacturing of composite materials with robotic manipulators: a comprehensive review

Le,

Tran,

Ding

2024

Int J Adv Manuf Technol

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Robotic manipulators play an innovative role as a new method for high-precision, large-scale manufacturing of composite components. However, machining composite materials with these systems presents unique challenges. Unlike traditional monolithic materials, composites exhibit complex behaviour and inconsistent results during machining. Additionally, robotic manipulator as a machine tool often associates with stiffness and vibration issues which adds another layer of complexity to this approach. By employing a comprehensive analysis and a combination of quantitative and qualitative review methodology, this review paper aims to survey diverse properties of composite materials by different categories and their interaction with machining processes. Subsequently, a survey of manufacturing techniques for composite machining following with a review in various modeling practices to capture material machining behaviour under a systematic framework is presented. Thereafter, the reviewed literature examines the errors inherent in robotic systems, alongside ongoing research efforts in modeling to characterise robot behaviour and enhance its performance. Afterward, the paper explores the application of data-driven modelling methods, with a primary focus on digital twins, in enabling real-time monitoring and process optimisation. Finally, this paper aims to identify the gap in this field and suggests the potential routes for future research and application as well as their challenges.

show abstract

Prediction of in-process frequency response function and chatter stability considering pose and feedrate in robotic milling

Cited by 19 publications

References 35 publications

On a simulation-based chatter prediction system by integrating relative entropy and dynamic cutting force

On a simulation-based chatter prediction system by integrating relative entropy and dynamic cutting force

A sensorless method for predicting force-induced deformation and surface waviness in robotic milling

Subtractive manufacturing of composite materials with robotic manipulators: a comprehensive review

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