AEROSWARFT: IoT and Digital Twins as microservices in energy optimization of precision and high-volume machining processes in the aerospace industry.
Program: support grants for Innovative Business Groupings to improve the competitiveness of small and medium-sized enterprises and the call for applications for the year 2022, within the framework of the Recovery, Transformation and Resilience Plan.
Referencia: AEI-010500-2022b-100
RESOLUTION Date: 11/23/2022
Execution date: 06/30/2022 – 04/29/2023
In addition to materials, industrial material removal and addition equipment such as machining or welding require energy to perform tasks such as material removal or melting of the welding filler. To date, industrial concern has been focused on the optimization of material resources. However, due to the recent energy crisis and the dependence of environmental factors on renewable sources, energy optimization and prediction of systems has gained relevance. However, can the systems predict energy consumption for parts of varying geometries or different materials? Can the energy consumed in industrial welding processes with varying thicknesses, or different materials, be optimized?
To answer these questions, in recent years there has been a commitment to the digital transformation of the industry through the use of enabling technologies such as the Internet of Things (IoT), Big Data, or Cloud Computing among others. Unfortunately, the implementation of these technologies is strongly limited by the cost of the sensors, the lack of connectivity between equipment or the disruptions involved in their integration into the production line, which causes SMEs to distance themselves from using these technologies. As a solution, virtual environments of these processes, known as process Digital Twins, are currently being developed, which allow process states to be optimized and predicted in a controlled, virtual environment.
The AEROSWARFT project aims to overcome these limitations by developing Digital Twins of machining and welding processes that allow predicting their energy consumption, optimizing the energy consumed and/or scheduling the execution of tasks according to the price of energy. To do this, the models will incorporate process inputs and data from process simulations and emulate the manufacturing process. The results of these models will be integrated into a platform in the form of microservices for two SMEs, bringing the benefits of digitization to the sector and facilitating decision making for these companies.
SEE QUALITAS
ALOT METAL SL
UMEC SL
AERA
TECHNOLOGICAL INSTITUTE OF ARAGON
TOTAL PROJECT BUDGET: 159,949 €.
TOTAL BUDGET ITAINNOVA: 49,640 €.
TOTAL PROJECT FINANCING: 111,112 €.
TOTAL FINANCING ITANNOVA: 32,266 €.
This project is funded by the Ministry of Industry, Trade and Tourism of the Government of Spain, under the support program for innovative business clusters and by the European Union “Next GenerationEU” PRTR, being project reference AEI-010500-2022b-100.
