[[abstract]]One of the most important techniques for automation which should be developed at current stage is on-line tool wear monitoring technique. In this paper, an on-line tool wear monitoring approach for face milling process is proposed. This approach uses the relationship between flank wear and average cutting force coefficients to estimate tool wear. The relationship between flank wear and average cutting force coefficients is established based on data obtained from a series of experiments. It is found that tool wear can be properly estimated by knowing the average cutting force coefficients and cutting parameters when fly cutting aluminum with a single cutter and workpiece geometry.[[fileno]]2020213010015[[department]]動機
This study establishes a way to monitor tool wear in end milling using a tangential force model coef...
Recently, cutting tool and product quality management in intelligent machining has been implemented ...
An adaptive signal processing scheme that uses a low-order autoregressive time series model is intro...
[[abstract]]This paper presents a new approach developed for on-line tool wear monitoring in face mi...
[[abstract]]The primary objective of this research is to monitor tool wear in face milling on line. ...
The purpose of this thesis is to investigate tool wear monitoring using Fourier Series simulation of...
One of the most important objectives in manufacturing is the intelligent machining system. To come t...
On-line tool wear information is important to the improvement of machining processes. Since real-tim...
On-line tool wear information is important to the improvement of machining processes. Since real-tim...
This investigation aims at the application to the adaptive control (AC) paying attention to tool lif...
Wear of a cutting edge in end-milling is a complicated process that requires a reliable technique fo...
In a modern machining system, tool wear monitoring systems are needed to get higher quality producti...
Reliable tool wear monitoring system is one of the important aspects for achieving a self-adjusting ...
In modern manufacturing processes, there is an ever increasing demand for higher productivity. The c...
Mechanistic cutting force model has the potential for monitoring micro-milling tool wear. However, t...
This study establishes a way to monitor tool wear in end milling using a tangential force model coef...
Recently, cutting tool and product quality management in intelligent machining has been implemented ...
An adaptive signal processing scheme that uses a low-order autoregressive time series model is intro...
[[abstract]]This paper presents a new approach developed for on-line tool wear monitoring in face mi...
[[abstract]]The primary objective of this research is to monitor tool wear in face milling on line. ...
The purpose of this thesis is to investigate tool wear monitoring using Fourier Series simulation of...
One of the most important objectives in manufacturing is the intelligent machining system. To come t...
On-line tool wear information is important to the improvement of machining processes. Since real-tim...
On-line tool wear information is important to the improvement of machining processes. Since real-tim...
This investigation aims at the application to the adaptive control (AC) paying attention to tool lif...
Wear of a cutting edge in end-milling is a complicated process that requires a reliable technique fo...
In a modern machining system, tool wear monitoring systems are needed to get higher quality producti...
Reliable tool wear monitoring system is one of the important aspects for achieving a self-adjusting ...
In modern manufacturing processes, there is an ever increasing demand for higher productivity. The c...
Mechanistic cutting force model has the potential for monitoring micro-milling tool wear. However, t...
This study establishes a way to monitor tool wear in end milling using a tangential force model coef...
Recently, cutting tool and product quality management in intelligent machining has been implemented ...
An adaptive signal processing scheme that uses a low-order autoregressive time series model is intro...