Contouring Of Cutting Tools Inserts In Real Time Using Moire Of Interference

1983 ◽  
Author(s):  
J.M. Burry
Keyword(s):  
Real Time ◽  
Cutting Tools

System architecture of ultrasound-based real-time bone thickness determination for synergistically operated cutting tools

2010 ◽  
Author(s):  
Fabrice Chuembou Pekam ◽  
Alexander Korff ◽  
Jan Benzenberg ◽  
Lorenz Fieten ◽  
Klaus Radermacher ◽  
...  
Keyword(s):  
Real Time ◽  
System Architecture ◽  
Cutting Tools ◽  
Bone Thickness ◽  
Thickness Determination

Intelligent Real-Time Predictive Diagnostics for Cutting Tools and Supervisory Control of Machining Operations

1993 ◽  
Vol 115 (3) ◽  
pp. 268-277 ◽  
Author(s):  
K. Ramamurthi ◽  
C. L. Hough
Keyword(s):  
Real Time ◽  
Metal Cutting ◽  
Failure Modes ◽  
Cutting Tools ◽  
Diagnostic System ◽  
Training Time ◽  
Process Diagnosis ◽  
Modes Of Failure ◽  
On Line ◽  
Cutting Processes

Machining economics may be improved by automating the replacement of cutting tools. In-process diagnosis of the cutting tool using multiple sensors is essential for such automation. In this study, an intelligent real-time diagnostic system is developed and applied towards that objective. A generalized Machining Influence Diagram (MID) is formulated for modeling different modes of failure in conventional metal cutting processes. A faster algorithm for this model is developed to solve the diagnostic problem in real-time applications. A formal methodology is outlined to tune the knowledge base during training with a reduction in training time. Finally, the system is implemented on a drilling machine and evaluated on-line. The on-line response is well within the desired response time of actual production lines. The instance and the accuracy of diagnosis are quite promising. In cases where drill wear is not diagnosed in a timely manner, the system predicts wear induced failure and vice versa. By diagnosing at least one of the two failure modes, the system is able to prevent any abrupt failure of the drill during machining.

scholarly journals Real-Time Simulation of Force Parameters for Diagnostics of Ceramic Tool Condition During Milling of High-Hardness Steel Parts

2019 ◽  
Vol 224 ◽  
pp. 05004
Author(s):  
Marina A. Volosova ◽  
Vladimir D. Gurin ◽  
Anton E. Seleznev ◽  
Leonid E. Shvartsburg ◽  
Mariuch Jenek
Keyword(s):  
Real Time ◽  
High Speed ◽  
High Performance ◽  
Cutting Tools ◽  
Tool Material ◽  
High Hardness ◽  
Ceramic Materials ◽  
Hardened Steels ◽  
Time Simulation ◽  
Wide Range

Cutting ceramics is a high-performance tool material for high-speed machining of hard steels and alloys. Ceramic materials have high hardness and heat resistance in a wide range of temperatures, as well as chemical passivity in relation to most of the workpieces. However, the wider application of ceramic cutting tools is limited due to the low reliability - unpredictable fragile fracture of the cutting edge in different periods of operation. The study discusses mathematical simulations of force parameters in the milling of hardened steels using ceramic cutting tools. The simulation results were used to develop a system for the metalworking technological system state diagnostics. Mathematical software for calculations of the set of force parameters through computer simulations with taking into account the tool wear has been developed. The developed system allows calculating and graphically displaying a set of force parameters appearing during face milling of hardened steels in the real-time.

scholarly journals Time-Variant Reliability Assessment and Its Sensitivity Analysis of Cutting Tool under Invariant Machining Condition Based on Gamma Process

2012 ◽  
Vol 2012 ◽  
pp. 1-19 ◽  
Author(s):  
Changyou Li ◽  
Yimin Zhang
Keyword(s):  
Real Time ◽  
Cutting Tool ◽  
Cutting Tools ◽  
Compensation Method ◽  
Gamma Process ◽  
Machining Error ◽  
The Real ◽  
Wear Process ◽  
Continuous State ◽  
Continuous Time Stochastic Process

The time-variant reliability and its sensitivity of cutting tools under both wear deterioration and an invariant machining condition are analyzed. The wear process is modeled by a Gamma process which is a continuous-state and continuous-time stochastic process with the independent and nonnegative increment. The time-variant reliability and its sensitivity of cutting tools under six cases are considered in this paper. For the first two cases, the compensation for the cutting tool wear is not carried out. For the last four cases, the off-line or real-time compensation method is adopted. While the off-line compensation method is used, the machining error of cutting tool is supposed to be stochastic. Whether the detection of the real-time wear is accurate or not is discussed when the real-time compensation method is adopted. The numerical examples are analyzed to demonstrate the idea of how the reliability of cutting tools under the invariant machining condition could be improved according to the methods described in this paper.

scholarly journals Smart knife: technological advances towards smart cutting tools in meat industry automation

Sensor Review ◽  
2022 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Alex Mason ◽  
Dmytro Romanov ◽  
L. Eduardo Cordova-Lopez ◽  
Steven Ross ◽  
Olga Korostynska
Keyword(s):  
Real Time ◽  
Electromagnetic Waves ◽  
Electrical Impedance ◽  
Cutting Tools ◽  
Electrical Impedance Spectroscopy ◽  
Optical Methods ◽  
Meat Industry ◽  
Meat Processing ◽  
Content Type ◽  
Industry Automation

Purpose Modern meat processing requires automation and robotisation to remain sustainable and adapt to future challenges, including those brought by global infection events. Automation of all or many processes is seen as the way forward, with robots performing various tasks instead of people. Meat cutting is one of these tasks. Smart novel solutions, including smart knives, are required, with the smart knife being able to analyse and predict the meat it cuts. This paper aims to review technologies with the potential to be used as a so-called “smart knife” The criteria for a smart knife are also defined. Design/methodology/approach This paper reviews various technologies that can be used, either alone or in combination, for developing a future smart knife for robotic meat cutting, with possibilities for their integration into automatic meat processing. Optical methods, Near Infra-Red spectroscopy, electrical impedance spectroscopy, force sensing and electromagnetic wave-based sensing approaches are assessed against the defined criteria for a smart knife. Findings Optical methods are well established for meat quality and composition characterisation but lack speed and robustness for real-time use as part of a cutting tool. Combining these methods with artificial intelligence (AI) could improve the performance. Methods, such as electrical impedance measurements and rapid evaporative ionisation mass spectrometry, are invasive and not suitable in meat processing since they damage the meat. One attractive option is using athermal electromagnetic waves, although no commercially developed solutions exist that are readily adaptable to produce a smart knife with proven functionality, robustness or reliability. Originality/value This paper critically reviews and assesses a range of sensing technologies with very specific requirements: to be compatible with robotic assisted cutting in the meat industry. The concept of a smart knife that can benefit from these technologies to provide a real-time “feeling feedback” to the robot is at the centre of the discussion.

scholarly journals Diagnostics of Breakdown of Cutting Tools of Axial Cutting Head of the П110-04 Type Heading Machine

2017 ◽  
Vol 25 (2) ◽  
pp. 93-96
Author(s):  
О. Е. Shabaev ◽  
I. I. Bridun ◽  
О. К. Moroz
Keyword(s):  
Real Time ◽  
Spectral Decomposition ◽  
Cutting Tool ◽  
Cutting Tools ◽  
Rotation Frequency ◽  
Head Rotation ◽  
Real Time Mode ◽  
Cutting Head ◽  
Machine Element ◽  
Cutting Unit

Abstract The operation of a heading machine with an out-of-work cutting tool can cause essential reduction of the machine element resource. The diagnostics of the cutting tool breakdown on the longitudinal axial cutting head in the real - time mode can be implemented on the basis of the spectral decomposition of the current of the cutting engine of the cutting unit. The ratio of the coefficients of the spectral decomposition corresponding to the cutting head rotation frequency and its threefold value can be the parameter under the diagnosis.

A Framework for Implementing RFID-Based Cutting Tools Management System in a Machining Workshop

2012 ◽  
Vol 220-223 ◽  
pp. 360-363
Author(s):  
Pei Lu Sun ◽  
Ping Yu Jiang
Keyword(s):  
Real Time ◽  
Management System ◽  
Life Prediction ◽  
Dynamic Scheduling ◽  
Cutting Tools ◽  
Production Capacity ◽  
Real Time Monitoring ◽  
Implementation Framework ◽  
Operation Procedure ◽  
Key Enabling Technologies

As one kind of indispensable consuming resources, efficient cutting tools management plays an important role in increasing production capacity of machining workshop and ensuring the products quality. In this paper, a RFID-based cutting tools management system (CTMS) is proposed and its implementation framework is established. Furthermore, four key enabling technologies are addressed to investigate the real-time monitoring, dynamic scheduling, inventory alert and life prediction of cutting tools. Finally, a simple example is given to demonstrate the operation procedure of the established CTMS.

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