Special Issue on “Machining Dynamics and Parameters Process Optimization”

Development of an Analyzing and Tuning Methodology for the CNC Parameters Based on Machining Performance

(2020) Ben-Fong Yu et al.   Applied Sciences-Basel

Double B-Spline Curve-Fitting and Synchronization-Integrated Feedrate Scheduling Method for Five-Axis Linear-Segment Toolpath

(2020) Xiangyu Gao et al.   Applied Sciences-Basel

An Accurate and Efficient Approach to Calculating the Wheel Location and Orientation for CNC Flute-Grinding

(2020) Yang Fang et al.   Applied Sciences-Basel

Semi-Active Magnetorheological Damper Device for Chatter Mitigation during Milling of Thin-Floor Components

(2020) Santiago Daniel Puma-Araujo et al.   Applied Sciences-Basel

A Qualitative Tool Condition Monitoring Framework Using Convolution Neural Network and Transfer Learning

(2020) Harshavardhan Mamledesai et al.   Applied Sciences-Basel

Tool Wear Monitoring for Complex Part Milling Based on Deep Learning

(2020) Xiaodong Zhang et al.   Applied Sciences-Basel

Natural Frequency Prediction Method for 6R Machining Industrial Robot

(2020) Jiabin Sun et al.   Applied Sciences-Basel

Implicit Subspace Iteration to Improve the Stability Analysis in Grinding Processes

(2020) Jorge Alvarez et al.   Applied Sciences-Basel