EMG based classification for continuous thumb angle and force prediction

2015 ◽  
Author(s):  
Abdul Rahman Siddiqi ◽  
Shahrul Naim Sidek ◽  
Muhammad Rozaidi Roslan
Keyword(s):  
Force Prediction

Model-based observers for vehicle dynamics and tyre force prediction

2021 ◽  
pp. 1-26
Author(s):  
Giulio Reina ◽  
Antonio Leanza ◽  
Giacomo Mantriota
Keyword(s):  
Vehicle Dynamics ◽  
Force Prediction ◽  
Model Based

scholarly journals Physics-Guided Deep Learning for Drag Force Prediction in Dense Fluid-Particulate Systems

Big Data ◽  
2020 ◽  
Vol 8 (5) ◽  
pp. 431-449 ◽  
Author(s):  
Nikhil Muralidhar ◽  
Jie Bu ◽  
Ze Cao ◽  
Long He ◽  
Naren Ramakrishnan ◽  
...  
Keyword(s):  
Deep Learning ◽  
Drag Force ◽  
Force Prediction ◽  
Dense Fluid ◽  
Particulate Systems

DEM simulation for draft force prediction of moldboard plow according to the tillage depth in cohesive soil

2021 ◽  
Vol 189 ◽  
pp. 106368
Author(s):  
Yeon-Soo Kim ◽  
Md. Abu Ayub Siddique ◽  
Wan-Soo Kim ◽  
Yong-Joo Kim ◽  
Sang-Dae Lee ◽  
...  
Keyword(s):  
Cohesive Soil ◽  
Dem Simulation ◽  
Force Prediction ◽  
Draft Force ◽  
Tillage Depth ◽  
Moldboard Plow

scholarly journals Cutting Force Prediction Models by FEA and RSM When Machining X56 Steel with Single Diamond Grit

Micromachines ◽  
2021 ◽  
Vol 12 (3) ◽  
pp. 326
Author(s):  
Lan Zhang ◽  
Xianbin Sha ◽  
Ming Liu ◽  
Liquan Wang ◽  
Yongyin Pang
Keyword(s):  
Cutting Force ◽  
Coefficient Of Friction ◽  
High Speed ◽  
Prediction Models ◽  
Pipeline Steel ◽  
Cutting Speed ◽  
Depth Of Cut ◽  
Cutting Force Prediction ◽  
Force Prediction ◽  
Diamond Wire Saw

In the field of underwater emergency maintenance, submarine pipeline cutting is generally performed by a diamond wire saw. The process, in essence, involves diamond grits distributed on the surface of the beads cutting X56 pipeline steel bit by bit at high speed. To find the effect of the different parameters (cutting speed, coefficient of friction and depth of cut) on cutting force, the finite element (FEA) method and response surface method (RSM) were adopted to obtain cutting force prediction models. The former was based on 64 simulations; the latter was designed according to DoE (Design of Experiments). Confirmation experiments were executed to validate the regression models. The results indicate that most of the prediction errors were within 10%, which were acceptable in engineering. Based on variance analyses of the RSM models, it could be concluded that the depth of the cut played the most important role in determining the cutting force and coefficient the of friction was less influential. Despite making little direct contribution to the cutting force, the cutting speed is not supposed to be high for reducing the coefficient of friction. The cutting force models are instructive in manufacturing the diamond beads by determining the protrusion height of the diamond grits and the future planning of the cutting parameters.

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