Necessary discrete condition for error control of time-domain methods in milling stability prediction

Huang, Tao; Cao, Le; Zhang, Xiaoming; Ding, Han

doi:10.1007/s11071-021-06483-3

Cited by 11 publications

(1 citation statement)

References 28 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…From a mechanical perspective, cutting natural rubber trees involves the application of controlled forces that encompass deformation resistance, separation resistance, and frictional resistance. In the course of the cutting process, both the tree bark and the blade tip experience substantial impact loads and the possibility of regenerative chatter, as indicated in reference [23]. Impact force is contingent upon various factors, including relative velocity, the material properties of the blade, physical and mechanical characteristics of the wood, as well as the cutting position and angle, as discussed in reference [24].…”

Section: Introductionmentioning

confidence: 99%

Research on Cutting Angle Design Optimization of Rubber Cutter Based on Discrete Element Method

Zhang,

Wen,

Chen

et al. 2023

Agriculture

View full text Add to dashboard Cite

This paper focuses on obtaining fundamental data for optimizing the design of intelligent equipment for cutting natural rubber and its key components. It uses natural rubber bark as the research subject and employs specific experimental apparatus to measure the physical properties and contact coefficients of the rubber bark. The discrete element method, along with the Hertz–Mindlin model featuring bonding contacts, are employed to create a discrete element model of natural rubber bark. Parameters are calibrated, and model validation is performed. Subsequently, a one-factor simulation test is conducted to assess various cutting angles of the rubber cutter knife. A secondary Fourier fitting is applied to fit the curve to the average shear force values obtained from the simulation. The results indicate that the lowest average shear force, at 84.345 N, occurs within the range of cutting angles between 25° and 30°. The corresponding optimal cutting angle is 29.294°, suggesting that cutting with low resistance can be achieved at this angle, leading to reduced power consumption. Following a statistical analysis of field rubber-cutting tests conducted in a forest setting, it was found that the average power consumption for rubber-cutting operations under the optimal cutting angle is 0.96 W·h. Additionally, the volume of rubber discharged in the initial 5 min period is 6.53 mL. These findings hold significant importance for guiding the optimization and enhancement of the design of intelligent equipment for cutting natural rubber and its key components.

show abstract

Section: Introductionmentioning

confidence: 99%