Torque Prediction In Deep Hole Drilling: Artificial Neural Networks Versus Nonlinear Regression Model
One of the main challenges when drilling small and deep holes is the difficulty of chip evacuation. As the hole depth increases, chips tend to become tightly compressed, causing chip jamming. It leads to a rapid increase in cutting forces and strong random fluctuations. The discontinuous chip evacua...
Saved in:
Main Authors: | Ngoc Hung- Chu, Hoai Nam- Nguyen, Van Du- Nguyen, Dang Binh- Nguyen |
---|---|
Format: | Article |
Language: | English |
Published: |
Taylor & Francis Group
2025-12-01
|
Series: | Applied Artificial Intelligence |
Online Access: | https://www.tandfonline.com/doi/10.1080/08839514.2025.2459482 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Nonlinear Control of an Active Magnetic Bearing System Achieved Using a Fuzzy Control with Radial Basis Function Neural Network
by: Seng-Chi Chen, et al.
Published: (2014-01-01) -
Impact of Novel Guidelines on Multifactorial Control and Its Association with Mortality in Adult Patients with Hypertension and Newly Diagnosed Type 2 Diabetes: A 4-Year Prospective Multicenter Study
by: Ngoc-Thanh-Van Nguyen, et al.
Published: (2021-01-01) -
Study on Monitoring Rock Burst through Drill Pipe Torque
by: Zhonghua Li, et al.
Published: (2015-01-01) -
XÂY DỰNG MÔ HÌNH TỒN KHO TỐI ƯU CƠ BẢN KHI NGUỒN CUNG BỊ GIÁN ĐOẠN
by: Nguyễn Hoài Nam
Published: (2015-03-01) -
RETRACTED: Perspective drilling methods, holes
by: Fayzimatov Baxodir, et al.
Published: (2024-01-01)