DEEPEN – Digital immersive engineering experiences for products and systems design

DEEPEN - Digital immersive engineering experiences for products and systems design

With the support of a research team that has its roots in computer aided engineering design research back in 1990’s merging research from Luleå University of Technology, Blekinge Institute of Technology and Stanford Unversity we are now embarking on DEEPEN – Digital immersive engineering experiences for products and systems design.

Please contact us (Marco Bertoni & Tobias Larsson) if you want to know more on how you may join our research center creation!

DEEPEN wants to be an an internationally leading research environment and the first-hand choice for partners who are interested in the development of the necessary capabilities to develop computer-generated environments able to support immersive product and system design experiences. 

DEEPEN is based on a clear vision on model- and data-driven design, building on the achievements of the Model Driven Development and Decision Support (MD3S) profile. MD3S is internationally recognised as leading research environment in this domain and features continuous collaborations with a number of industrial partners.

DEEPEN will deepen MD3S research to understand how Digital Twins and Extended Reality can be used to bring together diverse disciplines (engineering, sustainability, economics etc.) to inform engineering designers in an early stage, so to enable the creation of value- adding, sustainable life-cycle solutions and systems.

The main objective of DEEPEN is to coproduce new theories, methodologies, and tools to enhance the ability to evaluate the economic and societal value of new products and systems in the early design phase using immersive computer-generated environments. Its objective is also to increase international collaboration, impact educational programmes and disseminate new knowledge in top-ranked forums.

Key features

  • A process to guide the joint use of DT and XR to support the design of servitized, circular and sustainable solutions.
  • Methods and tools for DT realisation and implementation in industrial contexts.
  • Case-based twinned models and demo.
  • Educational/training material, frameworks and implementation guidelines.

WHAT ARE DIGITAL TWINS?

Digital Twins consist of a physical entity, a virtual representation of that entity, and a bi-directional data connection that feeds data between them  in both directions. 

Developing a digital twin is first and foremost a matter of ensuring a physical-to-virtual connection that captures the states of a physical entity (e.g., through sensors) and transfer it to the digital model. This allows the digital model to be always in sync with its physical counterpart, replicating it exactly.

A virtual-to-physical connection describes the flow of information and processes from the digital model to the physical object, so that – after having simulated a number of possible scenarios to determine the optimal set of parameters value for the physical entity – the latter is adjusted based on what’s best according to the simulation.

WHY A STRONGHOLD ON DIGITAL TWINS?

Digital Twins (DT) are listed by Gartner, Inc. as one of the most hyped technologies of the 2020s. This hype is driven by recent advances in Industry 4.0, data management and data processing technologies, as well as by the strong academic and industrial interest towards data-driven and digital manufacturing initiatives.

A 2019 survey among 599 organisations in 6 countries – having an annual revenue greater than $50 million- shows that 75% percent of the sample already used or were in the process of developing DT in conjunction with Internet of Things (IoT) projects.

DT are becoming a hotspot in the European research agenda, with several projects

exploring how virtual models can digitally reproduce with maximum accuracy the behaviour and performances of the real life counterpart to which they are twinned.

THE TRACKS OF DEEPEN

DEEPEN will be structured in 3 research tracks, each one focusing on a specific set of research questions related to the development and application of the DT in the early stages of circular solutions and systems design.

PRODUCT TWINNING TRACK

This track will focus on how virtual products shall be developed, twinned, controlled and used in a distributed environment to support early stage design decision making. The defining research questions for this track are:

  • How shall hardware models be developed/populated for prognostic purposes in an early design stage?
  • How shall twinning be realised between physical and digital objects?
  • How shall data analytics be used to predict the behaviour of products in circular systems?
  • How can the product twins support early stage design decision making?

PROCESS TWINNING TRACK

This track will focus on the development of behavioural models for the DT, with the objective to realistically replicate manufacturing, usage and end-of-life operations of complex systems. This track will be focused on the following research questions:

  • How shall process models be developed to simulate the lifecycle behaviour of circular
    solutions?
  • How shall process data be gathered from Cyber Physical Systems?
  • How shall the data from the system lifecycle be analysed to provide useful input to
    feed lifecycle simulation models?
  • How shall the results of process simulation activities be displayed to the distributed
    cross-functional team?

VALUE DISCOVERY TRACK

This track will focus on how the value of circular solutions – looking at how the solution affect people, planet and profit in the ecosystem – shall be captured and simulated through the use of digital twin/thread solutions. This track will pivot on the following research questions:

  • How shall qualitative and quantitative value-related dimensions for circular solutions be modelled in the Digital Twin?
  • How shall customer satisfaction and value-related data be gathered from the physical word and transferred to the virtual one?
  • How shall value-related data be analysed to predict future customer behaviour and value generation in circular businesses?
  • How shall Augmented and Virtual Reality applications be used to create ‘virtual experiences’ and communicate the value of circular product/service solutions?

Technologies explored in DOUBLED

Defining

CAD, Discrete Event Simulation and other CAE approaches for digital model building

Twinning

Cyber Physical Systems etc

Predicting

Machine Learning etc

Deciding

Virtuap Prototyping etc

Contacts

Marco Bertoni (PhD)
Professor
Main responsible for development of DOUBLED
Tobias Larsson (PhD)
Professor
Research Director and project leader MD3S

Features from research etablishing DOUBLED

ME310 2023 kicking off

ME310 2023 kicking off

BTH is back again this year, joining forces with Stanford Mechanical Engineering and the Volvo Group for a final-year ME310…

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ME310 Convergence week på Stanford

ME310 Convergence week på Stanford

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Produktutvecklingsforskningen med på IVA’s 100-lista 2020!

Produktutvecklingsforskningen med på IVA’s 100-lista 2020!

Professor Tobias Larsson och teamet kring forskningsprofilen Model Driven Development and Decision Support är med på Kungl Ingenjörsvetenskapsakademien, IVA's 100-lista…

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Industry 4.0 Cyber Physical Factory!

Industry 4.0 Cyber Physical Factory!

With the ongoing transformation of industrial product development and production, and especially how Internet of Things (IoT), smart factories, cyber-physical…

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PSS Design for the World’s Large Market

PSS Design for the World’s Large Market

Businesses are recognising and pursuing the opportunity to design appropriate products and services to serve the market known as the…

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VCE Electric Site Scaled Demo

VCE Electric Site Scaled Demo

Volvo CE is making steady progress towards realizing their sustainable construction vehicle goals of zero accidents, zero emissions, zero unplanned…

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Model Driven Decision Arena – MDDA

Model Driven Decision Arena – MDDA

One success factor in engineering design is the ability to make effective and risk-managed decisions in a timely manner. Rarely…

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Let the machines talk! Towards data-driven product development

Let the machines talk! Towards data-driven product development

Leonardo da Vinci is remembered in history as a “universal genius”, he was an artist, a scientist, a mathematician and an…

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Value-Driven Design – sustainable products and service innovation with value in focus

Value-Driven Design – sustainable products and service innovation with value in focus

In 1903, Charlie Taylor was given the task to design a completely new engine able to propel the first ever…

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Product-Service Systems Innovation?

Product-Service Systems Innovation?

Intentional product-service systems design is the way towards sustainable, circular economy, solutions for a future society! Q & A with…

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Reserach publications

AI-Driven Comprehension of Autonomous Construction Equipment Behavior for Improved PSS Development

AI-Driven Comprehension of Autonomous Construction Equipment Behavior for Improved PSS Development

Abstract This paper presents an approach that utilizes artificial intelligence techniques to identify autonomous machine behavior patterns. The context for…

A Value-Driven Design approach for the virtual verification and validation of autonomous vehicle solutions

A Value-Driven Design approach for the virtual verification and validation of autonomous vehicle solutions

Abstract Autonomous vehicle solutions (AVS) are regarded as a major enabling technology to support the realization of 'total site solutions'…

A STUDY ON THE POTENTIAL OF GAME BASED LEARNING FOR SUSTAINABILITY EDUCATION

A STUDY ON THE POTENTIAL OF GAME BASED LEARNING FOR SUSTAINABILITY EDUCATION

Abstract Academic institutions are increasingly required to prepare future practitioners to face complex sustainability challenges. The need to foster the…

VIRTUALLY HOSTED HACKATHONS FOR DESIGN RESEARCH: LESSONS LEARNED FROM THE INTERNATIONAL DESIGN ENGINEERING ANNUAL (IDEA) CHALLENGE 2022

VIRTUALLY HOSTED HACKATHONS FOR DESIGN RESEARCH: LESSONS LEARNED FROM THE INTERNATIONAL DESIGN ENGINEERING ANNUAL (IDEA) CHALLENGE 2022

Abstract The International Design Engineering Annual (IDEA) Challenge is a virtually hosted hackathon for Engineering Design researchers with aims of:…

BEYOND THE OVERVIEW EFFECT: A VIRTUAL REALITY EXPERIENCE FOR SUSTAINABILITY AWARENESS IN DECISION-MAKING

BEYOND THE OVERVIEW EFFECT: A VIRTUAL REALITY EXPERIENCE FOR SUSTAINABILITY AWARENESS IN DECISION-MAKING

Abstract The challenges of sustainable development require a consistent transformation of decision-making practices in society and in the industry. In…

MITIGATING UNCERTAINTY IN CONCEPTUAL DESIGN USING OPERATIONAL SCENARIO SIMULATIONS: A DATA-DRIVEN EXTENSION OF THE EVOKE APPROACH

MITIGATING UNCERTAINTY IN CONCEPTUAL DESIGN USING OPERATIONAL SCENARIO SIMULATIONS: A DATA-DRIVEN EXTENSION OF THE EVOKE APPROACH

Abstract The paper presents an approach where the iterative replication of Discrete Event Simulations on future operational scenarios is used…

SUPPORTING CHANGEABILITY QUANTIFICATION IN PRODUCT-SERVICE SYSTEMS VIA CLUSTERING ALGORITHM

SUPPORTING CHANGEABILITY QUANTIFICATION IN PRODUCT-SERVICE SYSTEMS VIA CLUSTERING ALGORITHM

Abstract The design of Product-Service Systems (PSS) is challenging due to the inherent complexities and the associated uncertainties. This challenge…

Conceptual Design in Informal Metalworking Microenterprises of Tanzania

Conceptual Design in Informal Metalworking Microenterprises of Tanzania

Abstract Product design is a key aspect of human intelligence and creativity, attracting not onlyexperts but also people without any…

A Study of the Boundary Conditions in the ISO-16630 Hole Expansion Test

A Study of the Boundary Conditions in the ISO-16630 Hole Expansion Test

Abstract As new and more advanced sheet metal materials are introduced to the market, more accurate techniques for determination of…

Find full list of research publications from MD3S here.