ZAYER continues being a benchmark for R&D&i in the machine-tool and advanced manufacturing industry.

In 2021, we participated in the HAZITEK and SPRI projects co-financed by the Basque Government. We made progress in significant areas of interest, such as Artificial Intelligence, 5G technologies and high-security production environments.

AIAM – Research in Artificial Intelligence (IA) and 5G-based technologies to develop new solutions in advanced manufacturing equipment.

The AIAM project aims to combine AI techniques and 5G connectivity to model complex manufacturing knowledge, based on process data acquired in real time.

5G technology is a strategic commitment expected to accelerate changes in communications in all aspects of society. It will involve high data transmission capabilities in mobility mode, low energy consumption, expansion of the Internet of Things (IoT) and low latency. It will open the way for real-time connectivity, robust and secure connections and communication, resulting in greater resilience, which is essential for critical mission communications, such as emergencies, transport, utilities, etc.

These technological innovations provided by the 5G network have unending possibilities for the machine tool industry, since they grant optimisation and control of machines and processes through real-time monitoring, thereby upending how we have been working with and operating these machine until now.

This project has been co-financed by the CDTI and the European Union through the European Regional Development Fund 2021 -2027 (ERDF).

APROMEA – Automation of Processes in Heavy Machining and Hazardous Atmospheres.

The goal of the APROMEA project is to develop flexible, productive, zero-defect solutions that are intelligent and connected for sustainable production intended for the manufacture of parts in new-generation super alloys.

Super alloys are high-strength metals composed of various metals and other components that make them suitable for use in applications at high temperatures and in highly demanding conditions. When machining and swarf removal are performed with these types of materials, the high temperatures that are generated and the high cutting force required must be taken into consideration. In addition, machining with swarf removal can present a fire hazard in certain alloys.

This project has been co-financed by the CDTI and the European Union through the European Regional Development Fund 2021 -2027 (ERDF).

MEDMODITE – Methodology for the development of thermal digital models

The MEDMODITE project is dedicated to the investigation of new methods of design to streamline product development using digital models. These methods will be capable of generating digital models with sufficient detail to analyse and predict machine behaviour with excellent precision.

Digital models are disruptive technology for the simulation and analysis of physical machine behaviour. Their aim is to monitor external and internal signals, analyse their reaction under a variety of circumstances and improve their performance and efficiency; in a word, a technology that makes the most of the advantages inherent to digital transformation.

This type of technology will improve machine precision in uncontrolled scenarios and allow the application of eco-design measures to reduce the environmental impact of both equipment and processes. Moreover, the machines will provide accurate information on the precision conditions of the machine to enable intelligent and proactive decision-making and thereby obtain maximum performance at all times.

All these projects have been co-financed by the Basque Government and the European Union through the European Regional Development Fund 2021 -2027 (ERDF).