DIONE-X

Secure and efficient data spaces for the machining value network

Open and secure data exchange along the entire process chain of the machining industry – this is the goal of the DIONE-X research project. By building an efficient and secure data and service ecosystem based on the principles of Gaia-X, DIONE-X enables ecosystem participants not only to exchange data across companies but also to create new fields of application, including data-driven business models.

In three use cases, project partners from research and industry will develop standards and guidelines that are essential for building this value network. These standards will then be tested by various user representative from the value network of the machining industry in the Industry 4.0 data space.

DIONE-X is part of the dynamic project ecosystem around the Gaia-X lighthouse project EuProGigant:

Supported by industry and research partners, the projects AMIDS, DIONE-X, ESCOM, EuProGigant and Flex4Res focus on specific goals that feed into the project ecosystem, e.g., strengthening supply chains resilience, enable secure and multi-locational data sharing as well as connecting innovation partners. Together, they demonstrate how data can support the industrial value creation process while describing the benefits of data-driven business models. These efforts support the relocation of production companies back to Europe.

€ MM
Funding

Project
partners

Associated
partners

Consortium

PTW

The Institute for Production Management, Technology and Machine Tools at TU Darmstadt is one of the leading production technology research institutes in Germany. Its research focuses include the topics of digitalisation, artificial intelligence, lean production, energy efficiency and the transfer of new technologies to small and medium-sized companies.

We see the DIONE-X project as an important part of the Gaia-X initiative. On the basis of three real use cases from the machine tool environment, we would like to highlight the potential of Gaia-X on the one hand, but on the other hand also the challenges that need to be overcome for a widespread acceptance of Gaia-X.
_{(Joachim Metternich, Head of Institute)}Our role in DIONE-X:
Development of a method for the evaluation of data quality as well as support in the implementation of the application scenarios.

IDF Kempten

Institute for Data-optimized Manufacturing (IDF) of Kempten University of Applied Sciences is an interdisciplinary research facility of the Kempten University of Applied Sciences. The focus is on the application of artificial intelligence and machine learning methods as well as the combination of data-supported and model-driven approaches for the optimization of production and manufacturing processes, especially in machining.

“We want to demonstrate how companies across the entire machining process chain can share data in a secure way and benefit from this value network.”
_{(Frank Schirmeier, Head of Institute)}Our role in DIONE-X:
Development of methods for partially anonymised data sharing.

Software AG

Software AG is the software pioneer of the connected world. It supports companies and organizations to connect people, businesses, systems, and devices through software. With “Cumulocity IoT”, Software AG offers one of the world’s leading IoT platforms. For the project, this platform will be further developed for specific applications.

“Our ambition is to derive the specific requirements of machining production for the Gaia-X framework and carry them into the associations' working groups to get closer to the development of a Gaia-X-compliant IoT platform.”
_{(Andre Litochevski, Director)}Our role in DIONE-X:
Provision and further development of the IoT platform.

Berger

For more than 65 years, Berger has supplied well-known companies from all over the world with high-precision, complex, ready-to-install parts – from 2 mm to 2,000 mm in diameter and up to 3,000 mm in length – as well as components. Berger has decades of experience in the field of ball screws and is familiar with all details of development and production.

"Our novel approach will enable us to monitor the wear of the failure-critical machine component ball screw in real operation by regularly evaluating sensor data. Thus we can offer users smart services based on this information."
_{(Dr. Martin Körner, Technology Scout)}Our role in DIONE-X:
Calculation and release of component states based on customers’ process and machine data

Gühring

Gühring is one of the world's leading manufacturers of rotary tools for metalworking. The company produces over 5,000 different types of tools and more than 100,000 different items. More than 500 original equipment projects are designed annually, according to individual customer requirements. As a tool manufacturer, Gühring combines all the necessary competences under one roof: from its own mechanical engineering to the production of its own carbide and the development of new coatings.

“Our claim is to demonstrate how, with the help of all the information necessary to describe the tool such as tool type, material, etc., it is possible to provide individual cutting data for users in order to optimise the manufacturing process.”
_{(Thomas Stolz, Project Engineer)}Our role in DIONE-X:
Provision and further development of a system for optimised tool use based on customers’ process data.

DMG MORI

As a “Global One Company”, DMG is a leading manufacturer of machine tools worldwide. The product range includes turning and milling machines as well as advanced technologies such as ULTRASONIC, LASERTEC and ADDITIVE MANUFACTURING as well as automation and holistic technology solutions.

“Our goal is to be able to transmit the condition of the components directly to the machine tool and component manufacturers in order to better plan necessary service calls.”
_{(Sebastian Schneider, Head of R&D Processes)}Our role in DIONE-X:
Development of a smart service for flexible maintenance planning of ball screw operation on machines by monitoring customers’ process data

A1 Digital

A1 Digital makes digitisation usable and is one of the leading technology service providers for IoT, cloud, networks and security. A1 Digital is a 100% subsidiary of A1 Telekom Austria.

“By jointly developing the project use cases, we expect to gain insights into the requirements for Gaia-X compatibility of cloud infrastructure and platform services.”
_{(Nicole Voigt, Cloud Project Coordinator)}Our role in DIONE-X:
Provision of digital infrastructure for the use case implementation.

pro-micron

pro-micron stands for innovative and wireless sensor systems and is the technology leader in the field of radio-based force measurement technology. The spike® product division has established itself in the machining industry and offers its customers a path to the Smart Factory through forward-looking hardware and software solutions.

„By building a data and service ecosystem, we want to bring together the condition KPIs from various plants and processes in a Gaia-X-compliant way on a higher-level platform and supplement them with parameters from other data sources. This secure and transparent use of data will open up new, data-driven business models for us.”
_{(Rainer Wunderlich, Head of Innovation)}Our role in DIONE-X:
Sensory recording of the process status with subsequent calculation and release of individualised, process-specific key performance indicators (KPIs) based on customers’ process data.

Schubert

Schubert Fertigungstechnik GmbH is a subsidiary of Gerhardt Schubert GmbH and manufactures turned, milled and ground components for the latter. In addition to the required state-of-the-art machining centres, Schubert Fertigungstechnik has highly qualified, in-house trained personnel who receive regular internal and external training.

“Our goal is to determine and specify the required machine data, including component families, to establish a baseline for Gaia-X-supported services.”
_{(Jens Grieser, Managing Director)}Our role in DIONE-X:
Provide and release process and machine data. Participation in the set-up and evaluation of the services.

KWS

KWS Kölle GmbH Werkzeugbau-Sonderfertigung is a manufacturing company for complex components and tools in the high-precision sector. The company is characterised by a very high vertical range of manufacture and a variety of different manufacturing technologies. KWS already started years ago to push the digitalisation of the process chain in work planning and CAM programming.

“Our goal is to figure out how to generate individualised process KPIs as well as a quality report by sharing our own process data.”
_{(Christian Streit, Managing Director)}Our role in DIONE-X:
Provision and release of process and machine data. Participation in the set-up and evaluation of the services.

Munsch

The Munsch Group develops and builds pumps for aggressive and abrasive media as well as plastic welding equipment for plastic apparatus and landfill construction. In both divisions, Munsch is one of the leading suppliers worldwide. Customers include the chemical industry, steel industry and mining industry.

“As part of the project, we as an SME are gaining access to an IoT platform for the first time and can thus gain experience in data sharing.”
_{(Jörg Martin, Head of Production)}Our role in DIONE-X:
Provision and release of process and machine data. Participation in the set-up and evaluation of the services.

Use cases

In the DIONE-X research project, the three use cases are being tested and implemented as prototypes: “Collaborative Condition Monitoring & Smart Service Planning”, “Individualized KPI Dashboard” and “Optimized Tool Use”. They will demonstrate the concrete benefits for the individual players in the production value chain – consisting of manufacturers of machines, tools, components and sensor technology, as well as manufacturing user companies and service providers.

Use Case DMG MORI: Collaborative Condition Monitoring & Smart Service Planning,

Use case participants:
• component manufacturer (Berger)
• machine manufacturer (DMG MORI)
• manufacturing end user (Munsch)

In this use case, Munsch uses the machine tools of DMG Mori, into which ball screws from Berger were installed.

Ball screws are wearing parts whose life cycle is difficult to estimate due to numerous, dynamic influencing factors. An unplanned failure can lead to major production losses for the manufacturing end user.

This use case focuses on a condition monitoring system for ball screws. Based on machine data provided by Munsch, the system enables to estimation the remaining service life.

Use Case pro-micron: Individualised KPI dashboard

Use case participants:
• sensor manufacturer (pro-micron)
• manufacturing end user (KWS Kölle)

Sensor tool holders of the “spike” type from pro-micron are installed on the machine tools of KWS Kölle. The measured values of these sensor systems are used to calculate KPIs for KWS Kölle about the quality and stability of the cutting process. Due to the process’s dependency on stability and quality limits, a blanket calculation of the KPIs is not meaningful enough. In this use case, pro-micron uses measurement and process data released by KWS Kölle (material, cutting parameters, drive currents, etc.) for the AI-supported calculation of individualised KPI.

Use Case Gühring: Optimised use of tools

Use case participants:
• tool manufacturer (Gühring)
• manufacturing end user (Schubert)

The goal of this use case is to suggest AI-supported cutting parameters that improve the individual optimisation goals of Schubert (e.g., tool life / surface quality).

News

March 14, 2024

Hannover Messe 2024

DIONE-X will participate at Hannover Messe 2024 this year together with our partner ecosystem of five innovative research projects focusing on smart and sovereign data utilization in the European manufacturing industry.

January 11, 2024

Article in the "maschinenbau"

"Securely exchanging production data in chipping" - The article in "maschinenbau" magazine takes a closer look at the challenges facing the machining industry with regard to handling production data and presents the innovative approaches of Dione-X. Find out more about the importance of secure data exchange for Industry 4.0 and how data-driven business models could influence the future of the manufacturing industry.

August 3, 2023

EuProGigant Open House Day

Register now! This year's EuProGigant Open House Day will be the place to be for data spaces in the manufacturing - bringing together for the first time partners, funding authorities and board members of five innovative research projects from across Europe. Meet and network with partners from the five projects, immerse yourself in the world of production data spaces.

July 28, 2023

Meet DIONE-X at EMO Hannover!

After a four-year break, the world’s leading trade fair for production technology is returning to Hannover. From 18 to 23 September 2023, EMO Hannover will be the stage for international manufacturers of production technology. Meet the DIONE-X project team in the Future of Connectivity Area (Hall 9 | Booth H22) at the joint booth of the innovative project ecosystem!

May 31, 2023

Project meeting at Software AG

How does data quality affect AI algorithms? In what ways can Gaia-X-compliant data acquisition be enabled and what could possible digital service offerings look like? These and other topics were the focus of the second DIONE-X project meeting, which brought together more than 20 partners at the Software AG site in Darmstadt on May 31.Together, they discussed current project results and next steps.

March 7, 2023

Project meeting in the Allgäu region

The snow-covered Alps formed the backdrop for the second DIONE-X project partner meeting, which brought together more than 20 participants in the Allgäu region from 10 to 11 February.
In addition to valuable insights at two partner production sites, project updates and workshops were the focus of the event.

January 12, 2021

DIONE-X – Kick off

In October 2022, the BMBF-funded research project "DIONE-X" started at PTW of TU Darmstadt together with partners from science and industry.

With three industry-related use cases, it shows how an open data exchange according to the Gaia-X principles can be realized for machining production.