{"id":18208,"date":"2022-06-22T11:27:55","date_gmt":"2022-06-22T11:27:55","guid":{"rendered":"https:\/\/cit.upc.edu\/portfolio-item\/avint-estrategias-de-mecanizado-y-prediccion-de-la-rugosidad-para-una-integridad-superficial-optima\/"},"modified":"2023-05-12T08:12:29","modified_gmt":"2023-05-12T08:12:29","slug":"avint-machining-strategies-and-prediction-of-roughness-for-optimal-surface-integrity","status":"publish","type":"portfolio","link":"https:\/\/cit.upc.edu\/en\/portfolio-item\/avint-machining-strategies-and-prediction-of-roughness-for-optimal-surface-integrity\/","title":{"rendered":"AVINT: machining strategies and prediction of roughness for optimal surface integrity"},"content":{"rendered":"\n

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22\/06\/2022
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The AVINT project, in which the Structural Integrity and Materials Reliability Centre (CIEFMA) of the Universitat Polit\u00e8cnica de Catalunya (UPC) has participated, has the objective of developing and implementing an application for predicting the roughness and surface finishing of machined parts for optimal surface integrity.\r
In addition, the project has enabled new products and parts with added value to be obtained as machining tools, coating for tools and lubricants\/cooling agents with greater efficiency due to their functional, geometric and mechanical properties.
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Increase productivity by reducing defective parts, cost and times<\/h4>
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Machining is an essential technology that enables an increase in competitiveness of companies in the industrial area, as this is a key, cross-cutting sector for the production of components that are used in many applications.\r
One of the most important parameters used to describe the quality of machined parts is roughness, which is a descriptor of surface finish and is one of the aspects that is also used to describe surface integrity.\r
Currently, the percentage of machined parts that do not meet quality requirements in long series can be up to 8%, depending on the type of part and its application. This leads to high costs of repairing and\/or eliminating defective parts as scrap metal, halts in production and replacement of machining tools to obtain parts of the desired quality.\r
For high added value parts in shorter series, the operating times tend to be high to avoid the generation of defective parts. This has a negative effect on productivity.
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Value chain of the machining sector<\/h4>
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The consortium of the AVINT project was formed of ten members, distributed among research, development and innovation agents, companies in the sector and companies that provide services and technology.\r
The project has concentrated on optimisation of the efficiency of metal machining processes, using simulation and optimisation tools and machine learning for greater optimisation of quality control and the surface integrity of components. In turn, CIEFMA UPC has used its knowledge to characterise the machining tools used.
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Cooperation, technology transfer and dissemination<\/h4>
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AVINT lasted three years (January 2018 \u2013 March 2021) and was part of the Catalonia ERDF 2014-2020 Operational Programme, an area of action of the Future Industries Community (IdF) of RIS3CAT, for the optimisation of machining processes.\r
The aim of the IdF Community is to consolidate its position as a leading innovation hub in efficient and sustainable manufacture in Catalonia that accelerates the value chain of industrial research, development and innovation. The project, which is programmed in the priority area \u201cBoost research, technological development and innovation\u201d, had the specific objective of \u201cTransfer and dissemination of technology and cooperation between companies and universities or other research centres\u201d.\r
The total budget of AVINT was 2,316,720 euros, of which 752,523 euros correspond to the grant that was awarded.
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Technology<\/h5>\r
Advanced Manufacturing<\/a>\r
Materials<\/a>
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