scholarly journals Adoption of the Omative system in Inconel 718 turbine blade machining

Mechanik ◽  
2017 ◽  
Vol 90 (1) ◽  
pp. 42-43
Author(s):  
Jan Burek ◽  
Paweł Sułkowicz ◽  
Michał Gdula ◽  
Jarosław Buk ◽  
Marcin Sałata
Keyword(s):  
Control System ◽  
Turbine Blade ◽  
Condition Monitoring ◽  
Inconel 718 ◽  
Tool Condition Monitoring ◽  
Tool Condition ◽  
Blade Machining

This paper presents a research focusing on adopting adapting control system Omative for tool condition monitoring during milling of Inconel 718 turbine blade.

Open Platform for the Integration of Monitoring Applications

2002 ◽  
Author(s):  
Andreas Kahmen ◽  
Manfred Weck
Keyword(s):  
Control System ◽  
Machine Tool ◽  
Real Time ◽  
Condition Monitoring ◽  
Tool Condition Monitoring ◽  
Integration Platform ◽  
Open Platform ◽  
Tool Condition ◽  
Monitoring Applications ◽  
Monitoring Software

Process and machine tool condition monitoring are the keys to an increasing degree of automation and consequently to an increasing productivity in manufacturing. The realisation of monitoring functionality demands an extension of the control system. The prerequisite for these extensions are open interfaces in the NC-kernel. Nowadays controls with open NC-kernel interfaces are available on the market. However these interfaces are vendor specific solutions that do not allow the reuse of monitoring software in different controls. To overcome these limitations a platform with vendor neutral open real-time interface for the integration of monitoring functionality into the NC-kernel is presented in this paper. Additionally two realisations of the integration platform for different target systems are described.

scholarly journals Tool Condition Monitoring in Hard Turning of Inconel 718 by using Vibration Technique

2019 ◽  
Vol 8 (11) ◽  
pp. 1143-1147
Keyword(s):  
Tool Wear ◽  
Condition Monitoring ◽  
Inconel 718 ◽  
Hard Turning ◽  
High Hardness ◽  
Tool Condition Monitoring ◽  
Depth Of Cut ◽  
Vibration Signals ◽  
Tool Condition ◽  
Coated Carbide

In various machining processes, the vibration signals are studied for tool condition monitoring often referred as wear monitoring. It is essential to overcome unpredicted machining trouble and to improvise the efficiency of the machine. Tool wear is a vital problem in materials such as nickel based alloys as they have high hardness ranges. Though they have high hardness, a nickel based alloy Inconel 718 with varying HRC (51, 53, and 55), is opted as work material for hard turning process in this work. Uncoated and coated carbide tools are employed as cutting tools. Taguchi’s L9 orthogonal array is considered by taking hardness, speed, feed and depth of cut as four input parameters, the number of experiments and the combinations of parameters for every run is obtained. The vibration signals are recorded at various stages of cutting, till the tool failure is observed. Taking this vibration signal data as input to ANOVA and Grey relation analysis (GRA) which categorizes the optimal and utmost dominant features such as Root Mean Square (RMS), Crest Factor (CF), Skewness (Sk), Kurtosis (Ku), Absolute Deviation (AD), Mean, Standard Deviation (SD), Variance, peak, Frequency and Time in the tool wear process

scholarly journals Tool Condition Monitoring with Non-contacting Sensors in Inconel 718 Milling Processes

2016 ◽  
Vol 25 (6) ◽  
pp. 445-451
Author(s):  
Yong-Ki Choi ◽  
Moon-Chang Hwang ◽  
Young-Jun Kim ◽  
Kwang-Hwi Park ◽  
Joon-Young Koo ◽  
...  
Keyword(s):  
Condition Monitoring ◽  
Inconel 718 ◽  
Tool Condition Monitoring ◽  
Tool Condition

scholarly journals Remote acoustic analysis for tool condition monitoring

2019 ◽  
Vol 38 ◽  
pp. 840-847
Author(s):  
James Coady ◽  
Daniel Toal ◽  
Thomas Newe ◽  
Gerard Dooly
Keyword(s):  
Condition Monitoring ◽  
Acoustic Analysis ◽  
Tool Condition Monitoring ◽  
Tool Condition

Application of spindle power signals in tool condition monitoring based on HHT algorithm

2019 ◽  
Vol 106 (3-4) ◽  
pp. 1385-1395
Author(s):  
Bin Shen ◽  
Yufei Gui ◽  
Biao Chen ◽  
Zichao Lin ◽  
Qi Liu ◽  
...  
Keyword(s):  
Condition Monitoring ◽  
Tool Condition Monitoring ◽  
Tool Condition ◽  
Spindle Power

scholarly journals Acoustic Emission Studies on Carbon/Phenolic Ablative Composites using PCD and PCBN Tools

1999 ◽  
Vol 8 (3) ◽  
pp. 096369359900800 ◽  
Author(s):  
P. S. Sreejith ◽  
R. Krishnamurthy
Keyword(s):  
Acoustic Emission ◽  
Condition Monitoring ◽  
Cutting Tool ◽  
Tool Condition Monitoring ◽  
Tool Condition ◽  
The Status ◽  
Emission Studies ◽  
Pcbn Tools ◽  
Cutting Speeds ◽  
Phenolic Composite

During manufacturing, the performance of a cutting tool is largely dependent on the conditions prevailing over the tool-work interface. This is mostly dependent on the status of the cutting tool and work material. Acoustic emission studies have been performed on carbon/phenolic composite using PCD and PCBN tools for tool condition monitoring. The studies have enabled to understand the tool behaviour at different cutting speeds.

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