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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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Zante, Remi Christophe
University of Strathclyde
in Cooperation with on an Cooperation-Score of 37%
Topics
Publications (4/4 displayed)
- 2017An evaluation of H13 tool steel deformation in hot forging conditioncitations
- 2017In-process monitoring and quality control of hot forging processes towards Industry 4.0
- 2016Defining a method of evaluating die life performance by using finite element models (FEM) and a practical open die hot forging method
- 2013Identifying the dominant failure mode in the hot extrusion tooling used to forge nickel based superalloycitations
Places of action
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document
In-process monitoring and quality control of hot forging processes towards Industry 4.0
Abstract
The importance of quality control in any manufacturing process has always been recognised. However, now more than ever before, it is a key requirement in order for manufacturing companies to remain competitive in the digital age. Because of the complexities and globalization of the manufacturing supply chain, real-time product quality analysis has become an important issue in the global manufacturing industry. However, in the metal forging industry, the attainment of efficient real-time quality control within forging processes has been faced with many technological challenges. These challenges are associated with the need for more sophisticated process modelling and simulation tools, cost-effective self-tuning sensors and a lack of robust and efficient in-process monitoring and quality control technologies for the forging industry.