Developing a support vector regression (SVR) model for prediction of main and lateral bending angles in laser tube bending process

M Safari, AH Rabiee, J Joudaki - Materials, 2023 - mdpi.com
The laser tube bending process (LTBP) is a new and powerful manufacturing method for
bending tubes more accurately and economically by eliminating the bending die. The …

Force model of robot bone grinding based on finite element analysis

K Yang, Q Jia, C Feng, J Huang, G Chen, Z Yang - Measurement, 2025 - Elsevier
Bone grinding represents a formidable challenge during open epiphyseal surgery, as
grinding force may result in potential damage to bone and surrounding tissues. To address …

Prediction model and optimization of energy consumption, cutting force, and surface roughness during machine tool cutting process based on high-order response …

J Du, Y Wang, X Zhou, Z Ji - Journal of the Brazilian Society of Mechanical …, 2024 - Springer
With the rapid development of manufacturing, how to model machining process and
optimize process parameters becomes the key to sustainable development. This paper aims …

Use of machine learning models in condition monitoring of abrasive belt in robotic arm grinding process

MD Surindra, GAF Alfarisy, W Caesarendra… - Journal of Intelligent …, 2024 - Springer
Although the aspects that affect the performance and the deterioration of abrasive belt
grinding are known, wear prediction of abrasive belts in the robotic arm grinding process is …

Robot assisted bone milling state classification network with attention mechanism

W Jia, Y Zhan, J Zhang, Y Dai - Expert Systems with Applications, 2024 - Elsevier
In the process of medical robot assisted bone milling surgery, the accuracy of recognition of
milling state is crucial for surgical safety. However, previous studies have rarely used neural …

A machine learning-based approach for estimation of deflection and contact area characteristics of tubeless and tube-type agricultural tyres

R Yadav, H Raheman - Engineering Applications of Artificial Intelligence, 2024 - Elsevier
Abstract Support Vector Regression (SVR) models with different kernel functions (radial
basis and polynomial) were developed for predicting deflection and contact area of tubeless …

[HTML][HTML] Physics-Guided Deep Network for Milling Dynamics Prediction

K Zhu, J Li - Engineering, 2024 - Elsevier
Milling force is key to the understanding of cutting mechanism and the control of machining
process. Traditional milling force models have limited prediction accuracy due to their …

Anisotropy monitoring of ultra-precision grinding force and acoustic emission signal of monocrystalline sapphire

X Wang, W Zheng, X Bao, Q Zhao - Measurement, 2025 - Elsevier
The significant anisotropy and exceptional mechanical properties of sapphire pose
substantial challenges in achieving uniform grinding quality. Moreover, the complexity of …

[HTML][HTML] Predicting tensile and fracture parameters in polypropylene-based nanocomposites using machine learning with sensitivity analysis and feature impact …

P Rajaee, FA Ghasemi, AH Rabiee, M Fasihi… - Composites Part C …, 2024 - Elsevier
This study examines the efficacy of decision tree and AdaBoost algorithms in predicting
mechanical and fracture parameters of polypropylene nanocomposites toughened with …

[HTML][HTML] Hybrid ANFIS-Ant Colony Optimization Model for Prediction of Carbamazepine Degradation Using Electro-Fenton Process Catalyzed by Fe@ Fe2O3 …

F Mohammadi, S Rahimi, MM Amin, B Dehdashti… - Results in …, 2024 - Elsevier
Pharmaceutical compounds, such as carbamazepine, have become a concern in aquatic
environments due to their wide usage, resistance to degradation, and inefficiency of …