Turnitin
降AI改写
早检测系统
早降重系统
Turnitin-UK版
万方检测-期刊版
维普编辑部版
Grammarly检测
Paperpass检测
checkpass检测
PaperYY检测
Contact parameter analysis and calibration in discrete element simulation of rice straw
H Jia, J Deng, Y Deng, T Chen, G Wang, Z Sun… - International Journal of …, 2021 - ijabe.net
Discrete element method was used to study and analyze the interaction between rice straws
and between rice straw and agricultural machinery parts, thereby providing a scientific basis …
and between rice straw and agricultural machinery parts, thereby providing a scientific basis …
A perspective on calibration and application of DEM models for simulation of industrial bulk powder processes
In recent years, there has been increased focus on the calibration of discrete element
method (DEM) models to gain improved confidence in the simulation predictions. However …
method (DEM) models to gain improved confidence in the simulation predictions. However …
Parameter calibration of corncob based on DEM
X Li, Y Du, L Liu, Y Zhang, D Guo - Advanced Powder Technology, 2022 - Elsevier
Corncob is one of the main components of corn ears. Because the mechanical properties of
different parts of corncob are very different, and there is a lack of research on the simulation …
different parts of corncob are very different, and there is a lack of research on the simulation …
Identification of the influential DEM contact law parameters on powder bed quality and flow in additive manufacturing configurations
The main objective of the present manuscript is to implement DEM simulations of powder
spreading in an Additive Manufacturing process. A numerical sensitivity analysis is carried …
spreading in an Additive Manufacturing process. A numerical sensitivity analysis is carried …
[HTML][HTML] The effects of interstitial inert gas on the spreading of Inconel 718 in powder bed fusion
The effects of interstitial gas on the spreadability of Inconel 718 powder under conditions
relevant to powder-bed fusion additive manufacturing (PBF-AM) are investigated through …
relevant to powder-bed fusion additive manufacturing (PBF-AM) are investigated through …
Evaluating the effect of glidants on tablet sticking propensity of ketoprofen using powder rheology
Punch sticking has been a leading drawback that has challenged successful tablet
manufacturing since its initial conception. Due to the capricious nature of the complication …
manufacturing since its initial conception. Due to the capricious nature of the complication …
[HTML][HTML] Calibration of Sliding Friction Coefficient in DEM between Different Particles by Experiment
P Liu, J Liu, S Gao, Y Wang, H Zheng, M Zhen, F Zhao… - Applied Sciences, 2023 - mdpi.com
Granular materials are widely prevalent in nature and industry, and the discrete element
method (DEM) is the most effective method for the mechanical analysis of granular …
method (DEM) is the most effective method for the mechanical analysis of granular …
Quantitative finite element analysis of microscopic surface formation for TC4 aeroengine blade polishing using single-grain method
Z Chen, P Zhao, R Yan, G Tian, M Yang… - The International Journal of …, 2024 - Springer
Precision polishing of aeroengine blades involves a complex material removal process,
primarily due to the presence of numerous abrasive grains bonded on the polishing tool …
primarily due to the presence of numerous abrasive grains bonded on the polishing tool …
Evaluating three internal fixation techniques for Pauwels III femoral neck fractures via finite element analysis
N Li, KY Cheng, J Fan, Y Li, M Yang, S Zhu, X Jiang - Scientific Reports, 2024 - nature.com
The selection of implants for fixing unstable femoral neck fractures (FNF) remains
contentious. This study employs finite element analysis to examine the biomechanics of …
contentious. This study employs finite element analysis to examine the biomechanics of …
Three-Dimensional Discrete Element Modeling for the Angle of Repose of Granular Materials: Artificial Intelligence and Machine Learning Approach
This research studies the calibration of contact parameters for Johnson-Kendall-Roberts
(JKR) model using machine learning (ML) algorithms. Multiple linear regression (MLR) …
(JKR) model using machine learning (ML) algorithms. Multiple linear regression (MLR) …