| People | Locations | Statistics |
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| Naji, M. |
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| Motta, Antonella |
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| Aletan, Dirar |
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| Mohamed, Tarek |
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| Ertürk, Emre |
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| Taccardi, Nicola |
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| Kononenko, Denys |
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| Petrov, R. H. | Madrid |
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| Alshaaer, Mazen | Brussels |
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| Bih, L. |
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| Casati, R. |
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| Muller, Hermance |
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| Kočí, Jan | Prague |
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| Šuljagić, Marija |
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| Kalteremidou, Kalliopi-Artemi | Brussels |
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| Azam, Siraj |
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| Ospanova, Alyiya |
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| Blanpain, Bart |
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| Ali, M. A. |
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| Popa, V. |
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| Rančić, M. |
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| Ollier, Nadège |
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| Azevedo, Nuno Monteiro |
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| Landes, Michael |
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| Rignanese, Gian-Marco |
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Gupta, Munish
Opole University of Technology
in Cooperation with on an Cooperation-Score of 37%
Topics
Publications (6/6 displayed)
- 2023A state of the art on surface morphology of selective laser-melted metallic alloyscitations
- 2023Wear performance of Ti-6Al-4 V titanium alloy through nano-doped lubricantscitations
- 2022A state-of-the-art review on mechanical characteristics of different fiber metal laminates for aerospace and structural applicationscitations
- 2021Investigations on quality characteristics in gas tungsten arc welding process using artificial neural network integrated with genetic algorithm
- 2021Establishing the relationship between cutting speed and output parameters in belt grinding on steels, aluminum and nickel alloys: development of recommendationscitations
- 2020A review of indirect tool condition monitoring systems and decision-making methods in turning: critical analysis and trendscitations
Places of action
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article
A review of indirect tool condition monitoring systems and decision-making methods in turning: critical analysis and trends
Abstract
The complex structure of turning aggravates obtaining the desired results in terms of tool wear and surface roughness. The existence of high temperature and pressure make difficult to reach and observe the cutting area. In-direct tool condition, monitoring systems provide tracking the condition of cutting tool via several released or converted energy types, namely, heat, acoustic emission, vibration, cutting forces and motor current. Tool wear inevitably progresses during metal cutting and has a relationship with these energy types. Indirect tool condition monitoring systems use sensors situated around the cutting area to state the wear condition of the cutting tool without intervention to cutting zone. In this study, sensors mostly used in indirect tool condition monitoring systems and their correlations between tool wear are reviewed to summarize the literature survey in this field for the last two decades. The reviews about tool condition monitoring systems in turning are very limited, and relationship between measured variables such as tool wear and vibration require a detailed analysis. In this work, the main aim is to discuss the effect of sensorial data on tool wear by considering previous published papers. As a computer aided electronic and mechanical support system, tool condition monitoring paves the way for machining industry and the future and development of Industry 4.0.