scholarly journals Digital Twin of a Cutting Tool

Procedia CIRP ◽  
2018 ◽  
Vol 72 ◽  
pp. 215-218 ◽  
Author(s):  
Darya Botkina ◽  
Mikael Hedlind ◽  
Bengt Olsson ◽  
Jannik Henser ◽  
Thomas Lundholm
Keyword(s):  
Cutting Tool ◽  
Digital Twin

Digital twin for cutting tool: Modeling, application and service strategy

2020 ◽  
Author(s):  
Yang Xie ◽  
Kunlei Lian ◽  
Qiong Liu ◽  
Chaoyong Zhang ◽  
Hongqi Liu
Keyword(s):  
Cutting Tool ◽  
Service Strategy ◽  
Digital Twin

scholarly journals Digital twin of the process of thermal cutting of flat material into figured parts

2021 ◽  
Author(s):  
M.A. Verkhoturov ◽  
G.N. Verkhoturova ◽  
D.R. Zaripov ◽  
N.V. Kondratyeva ◽  
S.S. Valeev
Keyword(s):  
Temperature Change ◽  
Thermal Effects ◽  
Computational Experiment ◽  
Cutting Tool ◽  
Sheet Material ◽  
The State ◽  
Technological System ◽  
Digital Twin ◽  
Thermal Cutting ◽  
Logical Representation

The designing a digital twin of the process of the thermal cutting of sheet material using laser or gas equipment for its figure cutting is considered. The solution to the problem of optimizing the path of the cutting tool taking into account the thermal effects on the material to be cut is discussed. The solution of the problem of modeling the temperature change of the material to be cut is considered on the basis of a discrete - logical representation of information about the state of the technological system of sheet cutting. The results of a computational experiment are presented.

scholarly journals Digital Twin-Driven Tool Wear Monitoring and Predicting Method for the Turning Process

Symmetry ◽  
2021 ◽  
Vol 13 (8) ◽  
pp. 1438
Author(s):  
Kejia Zhuang ◽  
Zhenchuan Shi ◽  
Yaobing Sun ◽  
Zhongmei Gao ◽  
Lei Wang
Keyword(s):  
Tool Wear ◽  
Real Time ◽  
Cutting Tool ◽  
Cutting Process ◽  
Turning Process ◽  
Digital Twin ◽  
Wear Monitoring ◽  
Key Enabling Technologies ◽  
Tool Wear Classification

Accurate monitoring and prediction of tool wear conditions have an important influence on the cutting performance, thereby improving the machining precision of the workpiece and reducing the production cost. However, traditional methods cannot easily achieve exact supervision in real time because of the complexity and time-varying nature of the cutting process. A method based on Digital Twin (DT), which establish a symmetrical virtual tool system matching exactly the actual tool system, is presented herein to realize high precision in monitoring and predicting tool wear. Firstly, the framework of the cutting tool system DT is designed, and the components and operations rationale of the framework are detailed. Secondly, the key enabling technologies of the framework are elaborated. In terms of the cutting mechanism, a virtual cutting tool model is built to simulate the cutting process. The modifications and data fusion of the model are carried out to keep the symmetry between physical and virtual systems. Tool wear classification and prediction are presented based on the hybrid-driven method. With the technologies, the physical–virtual symmetry of the DT model is achieved to mapping the real-time status of tool wear accurately. Finally, a case study of the turning process is presented to verify the feasibility of the framework.

The Chatterbox: A Device for Hearing Chatter as Sections are Cut

1973 ◽  
Vol 31 ◽  
pp. 360-361
Author(s):  
C. W. McCutchen ◽  
Lois W. Tice
Keyword(s):  
Machine Tools ◽  
Cutting Tool ◽  
Guerilla Warfare ◽  
History Of ◽  
Chatter Marks

Ultramicrotomists live in a state of guerilla warfare with chatter. This situation is likely to be permanent. We can infer this from the history of machine tools. If set the wrong way for the particular combination of cutting tool and material, most if not all machine tools will chatter.In more than 100 years since machine tools became common, no one has evolved a practical recipe that guarantees avoiding chatter. Rather than follow some single very conservative rule to avoid chatter in all cases, machinists detect it when it happens, and change conditions until it stops. This is possible because they have no trouble telling when their cutting tool is chattering. They can see chatter marks, and they can also hear a sometimes deafening noise.

Dynamics of the processes in metal machining

1998 ◽  
Vol 2 ◽  
pp. 115-122
Author(s):  
Donatas Švitra ◽  
Jolanta Janutėnienė
Keyword(s):  
High Frequency ◽  
Machine Tools ◽  
Metal Cutting ◽  
Cutting Tool ◽  
Low Frequency ◽  
Metal Cutting Machine ◽  
Cutting Machine ◽  
Metal Machining

In the practice of processing of metals by cutting it is necessary to overcome the vibration of the cutting tool, the processed detail and units of the machine tool. These vibrations in many cases are an obstacle to increase the productivity and quality of treatment of details on metal-cutting machine tools. Vibration at cutting of metals is a very diverse phenomenon due to both it’s nature and the form of oscillatory motion. The most general classification of vibrations at cutting is a division them into forced vibration and autovibrations. The most difficult to remove and poorly investigated are the autovibrations, i.e. vibrations arising at the absence of external periodic forces. The autovibrations, stipulated by the process of cutting on metalcutting machine are of two types: the low-frequency autovibrations and high-frequency autovibrations. When the low-frequency autovibration there appear, the cutting process ought to be terminated and the cause of the vibrations eliminated. Otherwise, there is a danger of a break of both machine and tool. In the case of high-frequency vibration the machine operates apparently quiently, but the processed surface feature small-sized roughness. The frequency of autovibrations can reach 5000 Hz and more.

1006-P: Personalized Hybrid Closed-Loop Therapy Using a Digital Twin in Patients with Type 1 Diabetes: At-Home Data

Diabetes ◽  
2020 ◽  
Vol 69 (Supplement 1) ◽  
pp. 1006-P
Author(s):  
BENYAMIN GROSMAN ◽  
ANIRBAN ROY ◽  
DI WU ◽  
NEHA PARIKH ◽  
LOUIS J. LINTEREUR ◽  
...  
Keyword(s):  
Type 1 Diabetes ◽  
Closed Loop ◽  
Digital Twin ◽  
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