"GDM" GDM R&D PREDICTIVE MODEL SIMULATION OF MECHANICAL BEHAVIOR WITH DIGITAL TWIN TECHNIQUES DESCRIPTION Currently, the validation and certification of furniture products is carried out on physical prototypes that faithfully reproduce the final commercial product. In most cases, this produces a delay in bringing products to the target market, as it is necessary to subject them to several cycles of trial and error, causing a significant loss of competitiveness and opportunity. Reducing this cycle through digital solutions that intervene in the early stages of product development would be a milestone for companies in the sector, causing a significant increase in their competitive capacity. The GDM project involves effective collaboration between the AEI Wood-Furniture of the Valencian Community (AIDIMME as a representative entity), the AEI AMUEBLA (Innovative business group of furniture manufacturers and related companies in the region of Murcia), the Group of Spanish Exporting Companies (ARVET), the Furniture and Wood Technology Center of the Region of Murcia (CETEM) and the company SANCAL DISEÑO. Based on this problem, the AEIs AIDIMME (Valencian Community) and AMUEBLA (Region of Murcia), aim to increase the existing knowledge in technologies to carry out simulations prior to the prototype validation phases, so that designers are offered information relevant when developing products that comply with applicable European regulations. OBJECTIVES General objective of GDM: The general objective of GDM is the investigation of a constructive model of digital twins, which, through a modular structure of requirements, facilitate the creation of these, offering efficient product solutions based on AI and TL technologies from historical data of results of other similar products. Specific objectives -Research and analysis to expand knowledge in technologies for the deployment of Digital Twins, modular software systems and encapsulation. -Research and analysis to expand knowledge in Predictive Artificial Intelligence technologies and systems and Machine Learning techniques. -Develop a modular construction model for the generation of Digital Twins. -Develop a predictive core that allows obtaining optimized solutions based on learning. -Validate the results of the solutions provided empirically. -Improve the training of the computer virtualization research group of the AEI Wood and Furniture of AIDIMME and AMUEBLA in disruptive technologies within Industry 4.0. Project Number: 22300076 Grant Agreement: AEI-010500-2023-357 Duration: From 01/06/2023 to 17/04/2024 Coordinated in AIDIMME by: CARRILLO ALCAÑIZ, MANUEL R&D Line: INDUSTRY 4.0 PUBLISHED NEWS general broadcast https://actualidad.aidimme.es/2023/05/22/clusteres-proye (...) https://actualidad.aidimme.es/2023/11/03/investigacion-y (...) PARTNERS AIDIMME - METAL-MECHANICAL TECHNOLOGICAL INSTITUTE, FURNITURE, WOOD, PACKAGING AND RELATED - COORDINATOR, ARVET-AGRUPATION OF TRANSFORMED EXPORTERS, CETEM-ASOC. EMP. RESEARCH TECH CENTER DEL FURNITURE AND WOOD OF MURCIA, SANCAL DISEÑO SL, INNOVATIVE BUSINESS GROUP OF FURNITURE MANUFACTURERS, GRANT € TARGET AUDIENCE AND IMPACT MEASUREMENT 737 Access to the project website 142 Access to news published on own websites. Total Accesses: 879 Objective Sectors by CNAE CNAE: 3101 - Manufacture of office furniture and e - Number of target companies: 574 (115 in the Valencian Community) CNAE: 310 - Furniture manufacturing - No. of target companies: 3 (0 in the Valencian Community) CNAE: 3109 - Manufacture of other furniture - No. of target companies: 5579 (1327 in the Valencian Community) CNAE: 3102 - Manufacture of kitchen furniture - Number of target companies: 666 (155 from the Valencian Community) Objective Sectors by Activity MANUFACTURERS - Number of target companies: 108 (39 of the Valencian Community) DESIGNERS / DECORATORS - Number of target companies: 156 (78 of the Valencian Community) TRACTOR COMPANIES Thanks to its support and signature of the "declaration of participation" the project has been funded. COMPANIES DIFFUSION R&D PROJECTS They want to know first-hand the evolution of the project, and its progress to the final result. COMPANIES TRANSFER KNOWLEDGE They will implement technologies, develop strategies or look for new models based on the results.