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Sensorless cutting force estimation for full-closed controlled ball-screw-driven stage

https://doi.org/10.1007/s00170-016-8710-5
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What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1007/s00170-015-7402-xopenalex-snapshot
Model-based broadband estimation of cutting forces and tool vibration in milling through in-process indirect multiple-sensors measurements
inferredcites →https://doi.org/10.1016/0141-6359(88)90052-9openalex-snapshot
Scope of in-process measurement, monitoring and control techniques in machining processes — Part 1: In-process techniques for tools
inferredcites →https://doi.org/10.1016/j.cirp.2010.05.010openalex-snapshot
Advanced monitoring of machining operations
inferredcites →https://doi.org/10.1016/j.cirp.2011.03.080openalex-snapshot
Detection of chatter vibration in end milling applying disturbance observer
inferredcites →https://doi.org/10.1016/j.cirpj.2013.12.006openalex-snapshot
Development and first applications of gentelligent components over their lifecycle
inferredcites →https://doi.org/10.1016/j.cirpj.2014.04.001openalex-snapshot
Drill fracture detection by integrating disturbance observer and rotational digital filter
inferredcites →https://doi.org/10.1016/j.cirpj.2014.05.004openalex-snapshot
Monitoring of tool collision in drilling by disturbance observer
inferredcites →https://doi.org/10.1016/j.ijmachtools.2004.11.028openalex-snapshot
High frequency bandwidth cutting force measurement in milling using capacitance displacement sensors
inferredcites →https://doi.org/10.1016/j.ijmachtools.2013.02.007openalex-snapshot
Chatter identification in end milling process using wavelet packets and Hilbert–Huang transform
inferredcites →https://doi.org/10.1016/j.ijmachtools.2014.10.011openalex-snapshot
Real-time tool wear monitoring in milling using a cutting condition independent method
inferredcites →https://doi.org/10.1016/j.precisioneng.2011.05.006openalex-snapshot
Experimental analysis and simulation of nonlinear microscopic behavior of ball screw mechanism for ultra-precision positioning
inferredcites →https://doi.org/10.1016/j.precisioneng.2013.09.002openalex-snapshot
Control system design of a linear motor feed drive system using virtual friction
inferredcites →https://doi.org/10.1016/s0007-8506(07)60589-7openalex-snapshot
Sensor-less Monitoring of Cutting Force during Ultraprecision Machining
inferredcites →https://doi.org/10.1016/s0007-8506(07)62275-6openalex-snapshot
Real-Time Tool Breakage Monitoring for NC Milling Process
inferredcites →https://doi.org/10.1016/s0007-8506(07)62342-7openalex-snapshot
Analytical Prediction of Stability Lobes in Milling
inferredcites →https://doi.org/10.1016/s0141-6359(00)00030-1openalex-snapshot
Robust friction compensation for submicrometer positioning and tracking for a ball-screw-driven slide system
inferredcites →https://doi.org/10.1016/s0890-6955(02)00082-2openalex-snapshot
Estimating cutting force from rotating and stationary feed motor currents on a milling machine
inferredcites →https://doi.org/10.1017/cbo9780511843723openalex-snapshot
Manufacturing Automation
inferredcites →https://doi.org/10.1109/3516.491410openalex-snapshot
Motion control for advanced mechatronics
inferredcites →https://doi.org/10.1109/iecon.1993.339383openalex-snapshot
Vibration control of 2 mass resonant system by resonance ratio control
inferredcites →https://doi.org/10.1109/isie.2018.8433736openalex-snapshot
Motion Control for Advanced Mechatronics
inferredcites →https://doi.org/10.1115/1.1399383openalex-snapshot
Manufacturing Automation: Metal Cutting Mechanics, Machine Tool Vibrations, and CNC Design
inferredcites →https://doi.org/10.1115/1.2900688openalex-snapshot
Prediction of Cutting Forces and Tool Breakage in Milling from Feed Drive Current Measurements
inferredcites →https://doi.org/10.1299/jsmec.49.307openalex-snapshot
Monitoring Method of Cutting Force by Using Additional Spindle Sensors
inferredcites →https://doi.org/10.20965/ijat.2011.p0587openalex-snapshot
Hybrid Control for Machine Tool Table Applying Sensorless Cutting Force Monitoring
inferredcites →https://doi.org/10.2493/jspe.70.1091openalex-snapshot
On the Monitoring of Cutting Forces in End Milling Processes
inferredcites →https://doi.org/10.7305/automatika.54-1.311openalex-snapshot
Design for Sensorless Force Control of Flexible Robot by Using Resonance Ratio Control Based on Coefficient Diagram Method

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

inferred← citeshttps://doi.org/10.2139/ssrn.3954300openalex-extracted
Enhancement of Accuracy in Sensorless Cutting-Force Estimation by Mutual Compensation of Multi-integrated Cutting-Force Observers
inferred← citeshttps://doi.org/10.2139/ssrn.5147652openalex-extracted
Multi Sample-Rate Force Monitoring in Milling Based on Current and Voltage Measurement
inferred← citeshttps://doi.org/10.1007/978-3-032-19524-1_46openalex-snapshot
Surrogate Models for TCP Displacement in Milling
inferred← citeshttps://doi.org/10.1007/s00170-017-0024-8openalex-snapshot
The chatter identification in end milling based on combining EMD and WPD
inferred← citeshttps://doi.org/10.1007/s00170-017-0427-6openalex-snapshot
Mode decoupled and sensorless cutting force monitoring based on multi-encoder
inferred← citeshttps://doi.org/10.1007/s00170-019-04080-8openalex-snapshot
Enhancement of cutting force observer by identification of position and force-amplitude dependent model parameters
inferred← citeshttps://doi.org/10.1007/s00170-020-05045-yopenalex-snapshot
Force compensation for precise positioning in machine tools via state observer design
inferred← citeshttps://doi.org/10.1007/s00170-020-05951-1openalex-snapshot
Experimental verification of design methodology for chatter suppression in tool swing–assisted parallel turning
inferred← citeshttps://doi.org/10.1007/s00170-021-07692-1openalex-snapshot
Real-time thermal error prediction model for CNC lathes using a new one-dimension lumped capacity method
inferred← citeshttps://doi.org/10.1007/s00170-022-10245-9openalex-snapshot
Enhancing the multi-encoder-based cutting force estimation along the stationary axis of a machine tool with multiple inertia dynamics
inferred← citeshttps://doi.org/10.1007/s00170-026-18763-6openalex-snapshot
A review of tool wear monitoring in milling: perception, edge processing and cloud decision
inferred← citeshttps://doi.org/10.1007/s10845-019-01464-1openalex-snapshot
Support vector regression to correct motor current of machine tool drives
inferred← citeshttps://doi.org/10.1007/s12541-021-00469-2openalex-snapshot
Development of Automatic Chatter Suppression System in Parallel Milling by Real-Time Spindle Speed Control with Observer-Based Chatter Monitoring
inferred← citeshttps://doi.org/10.1007/s40436-018-0222-0openalex-snapshot
Integrated in-process chatter monitoring and automatic suppression with adaptive pitch control in parallel turning
inferred← citeshttps://doi.org/10.1016/j.aei.2025.104206openalex-snapshot
Review of condition monitoring approaches for ball screws
inferred← citeshttps://doi.org/10.1016/j.ifacol.2019.11.577openalex-snapshot
A Method of Cutting Power Monitoring for Feed Axes in Milling by Power Measurement Device
inferred← citeshttps://doi.org/10.1016/j.jmapro.2022.03.034openalex-snapshot
Three-axis displacement sensor-integrated spindle system for carbon fiber-reinforced plastic (CFRP) machining process monitoring
inferred← citeshttps://doi.org/10.1016/j.jmapro.2025.05.065openalex-snapshot
A novel method for predicting cutting force considering tool wear by power consumption in milling process
inferred← citeshttps://doi.org/10.1016/j.jmapro.2025.06.104openalex-snapshot
Sensorless monitoring of cutting forces and torques in machining using industrial edge device
inferred← citeshttps://doi.org/10.1016/j.precisioneng.2017.07.017openalex-snapshot
Sensor-less on-line chatter detection in turning process based on phase monitoring using power factor theory
inferred← citeshttps://doi.org/10.1016/j.precisioneng.2022.07.013openalex-snapshot
Identification of the model parameter for milling process simulation with sensor-integrated disturbance observer
inferred← citeshttps://doi.org/10.1016/j.procir.2018.09.068openalex-snapshot
Cutting Power Estimation via External Voltage and Current Sensors on Feed-Drive Axis for the Straight Milling Process
inferred← citeshttps://doi.org/10.1016/j.promfg.2019.07.056openalex-snapshot
Enhancement of Sensor-less Cutting Force Estimation by Tuning of Observer Parameters from Cutting Test
inferred← citeshttps://doi.org/10.1016/j.rcim.2020.101943openalex-snapshot
A universal digital motion controller design for servo positioning mechanisms in industrial manufacturing
inferred← citeshttps://doi.org/10.1016/j.rcim.2024.102776openalex-snapshot
Fusing LSTM neural network and expanded disturbance Kalman filter for estimating external disturbing forces of ball screw drives
inferred← citeshttps://doi.org/10.1016/j.rcim.2024.102888openalex-snapshot
Tool breakage monitoring driven by the real-time predicted spindle cutting torque using spindle servo signals
inferred← citeshttps://doi.org/10.1016/j.ymssp.2024.111749openalex-snapshot
Mechanism-informed friction-dynamics coupling GRU neural network for real-time cutting force prediction
inferred← citeshttps://doi.org/10.1016/j.ymssp.2025.113497openalex-snapshot
A novel milling force prediction method based on the AI-empowered dynamic coupling model
inferred← citeshttps://doi.org/10.1049/joe.2018.9150openalex-snapshot
Research on dual‐mode switching fuzzy PID servo algorithm based on micro‐linear motor
inferred← citeshttps://doi.org/10.1051/matecconf/202030604001openalex-snapshot
Simulation and disturbance estimation of speed-controlled mechatronic drive systems
inferred← citeshttps://doi.org/10.1063/5.0181545openalex-snapshot
Experimental evaluation and performance of brushing simulator with dual stations and linear motion
inferred← citeshttps://doi.org/10.1109/access.2019.2909550openalex-snapshot
Dynamic Characteristic Optimization of Ball Screw Feed Drive in Machine Tool Based on Modal Extraction of State Space Model
inferred← citeshttps://doi.org/10.1109/icm46511.2021.9385598openalex-snapshot
Adaptive Cutting Force Observer for Machine Tool Considering Stage Parameter Variation
inferred← citeshttps://doi.org/10.1109/icm54990.2023.10101950openalex-snapshot
Fitting-based Cutting Force Estimation for Machine Tool with Encoder Resolution Analysis
inferred← citeshttps://doi.org/10.1109/iecon.2017.8216538openalex-snapshot
Development of sensorless chatter detection method in ball screw drive system applying mode decoupling
inferred← citeshttps://doi.org/10.1109/iecon.2017.8217330openalex-snapshot
Design of load-side external force observer with a load-side encoder considering modeling errors
inferred← citeshttps://doi.org/10.1109/iros47612.2022.9981321openalex-snapshot
A Comparative Study of Force Observers For Accurate Force Control of Multisensor-Based Force Controlled Motion Systems
inferred← citeshttps://doi.org/10.1109/isie.2018.8433803openalex-snapshot
Proposal of State-Dependent Minimum Variance Estimation of Load-Side External Torque Considering Modeling and Measurement Errors
inferred← citeshttps://doi.org/10.1109/jestie.2023.3290491openalex-snapshot
Improvement of Cutting Force Estimation by Lead Error Compensation for Machine Tool
inferred← citeshttps://doi.org/10.1109/tie.2021.3086719openalex-snapshot
A Reduced-Order Multisensor-Based Force Observer
inferred← citeshttps://doi.org/10.1115/1.4039111openalex-snapshot
Chatter Avoidance in Parallel Turning With Unequal Pitch Angle Using Observer-Based Cutting Force Estimation
inferred← citeshttps://doi.org/10.1115/1.4043362openalex-snapshot
Dynamic Force Identification in Peripheral Milling Based on CGLS Using Filtered Acceleration Signals and Averaged Transfer Functions
inferred← citeshttps://doi.org/10.1115/1.4054516openalex-snapshot
Condition Monitoring of Machine Tool Feed Drives: A Review
inferred← citeshttps://doi.org/10.1115/1.4065415openalex-snapshot
Digital Twin in Process Planning of the Additive and Subtractive Process Chain for Laser Metal Deposition and Micro Milling of Stainless Steel
inferred← citeshttps://doi.org/10.1299/mej.25-00283openalex-snapshot
Virtual sensor using model order reduction for real-time estimation of tool edge temperature (Translated)
inferred← citeshttps://doi.org/10.1299/transjsme.17-00098openalex-snapshot
Influence of error factors in sensorless cutting force estimation
inferred← citeshttps://doi.org/10.1299/transjsme.23-00159openalex-snapshot
Virtual sensor using model order reduction for real-time estimation of tool edge temperature
inferred← citeshttps://doi.org/10.1299/transjsme.24-00199openalex-snapshot
Improvement of accuracy for cutting force monitoring with estimated static displacement of tool spindle
inferred← citeshttps://doi.org/10.1541/ieejjia.19005166openalex-snapshot
Human-friendly Acceleration Control for Mobile Cart with Torque Sensor Built in Driving Shaft
inferred← citeshttps://doi.org/10.1541/ieejjia.9.117openalex-snapshot
Minimum-Variance Load-Side External Torque Estimation Robust Against Modeling and Measurement Errors
inferred← citeshttps://doi.org/10.20965/ijat.2017.p0215openalex-snapshot
Integrated Chatter Monitoring Based on Sensorless Cutting Force/Torque Estimation in Parallel Turning
inferred← citeshttps://doi.org/10.20965/ijat.2019.p0080openalex-snapshot
Chatter Suppression in Parallel Turning Assisted with Tool Swing Motion Provided by Feed System
inferred← citeshttps://doi.org/10.21203/rs.3.rs-517613/v1openalex-snapshot
Modelling Clamping Force Deflection in Dexel-Based Material Removal Simulations
inferred← citeshttps://doi.org/10.23919/acc.2018.8431193openalex-snapshot
Precise External Torque Estimation for Two-Inertia System Considering Modeling Errors
inferred← citeshttps://doi.org/10.23919/iccas50221.2020.9268384openalex-snapshot
Robotic Stage for Human Balance Disorder Assessment
inferred← citeshttps://doi.org/10.23919/sice.2018.8492670openalex-snapshot
Minimum Variance Estimation of Load-side External Torque Using Load-side Encoder and Torque Sensor
inferred← citeshttps://doi.org/10.2493/jjspe.83.210openalex-snapshot
Sensorless Cutting Force Monitoring Technique and the Application
inferred← citeshttps://doi.org/10.2493/jjspe.86.708openalex-snapshot
Proposal of Sensor-Less Cutting Force Monitoring Method Based on Equivalent Cutting Force Prediction Using Real Time End Milling Simulator
inferred← citeshttps://doi.org/10.2493/jjspe.89.866openalex-snapshot
Process Monitoring for Machine Tools
inferred← citeshttps://doi.org/10.3390/app10093122openalex-snapshot
Investigation on Sensorless Estimating Method and Characteristics of Friction for Ball Screw System
inferred← citeshttps://doi.org/10.3390/jmmp4030062openalex-snapshot
Reconstruction of Process Forces in a Five-Axis Milling Center with a LSTM Neural Network in Comparison to a Model-Based Approach
inferred← citeshttps://doi.org/10.3390/jmmp6060137openalex-snapshot
Virtual Sensor for Accuracy Monitoring in CNC Machines
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Feeling Machine for Process Monitoring of Components with Stock Allowance
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A New Grey Box Approach for Friction Modelling of Machine Tool Drives
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Harmonics Elimination by Periodic/Aperiodic Separation Filter for Chatter Detection
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The State of the Art in Monitoring Technology of Machining Operations
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