Project time: 2017 – 2021
Budget: 7 126 000 kronor
Funding: SIP Produktion2030
The overall goal of DiSAM is to create a unique test AM Hub in Sweden for metal and polymer based additive manufacturing processes.
DiSAM will strengthen the competitiveness of the Swedish manufacturing industry through improved production flexibility and quicker time-to-market. With focus on customer needs, this will be accomplished by aligning the digital and physical supply chains in additive manufacturing (AM) for industrial production and product development of metal and polymer based components for direct or re-manufacturing purposes. DiSAM will demonstrate how AM and digitalization can increase flexibility while reducing the threshold and associated risks of introducing AM for the participating end users and support higher degree of digitalization in the AM-supply chain and the manufacturing industry. As DiSAM covers several of the major AM-techniques, the project will provide a solid platform that can easily include other systems/technique in DiSAM to digitalize the supply chain of AM and push toward real print-on-demand. The entire industrial product development cycle will be demonstrated through a series of case studies selected by the participating companies, all having a strong pull for digitalized and integrated AM to reduce lead time, introduce simple customization, innovative products and traceability. The long term impact of the project will be increased adoption of digitalization in AM by the Swedish manufacturing industry with increased flexibility and competitiveness as a result.
Two major disruptive trends – electrification and digitalization are changing customer preferences, leading to the probably most substantial transformation in the automotive industry we observed in decades. Finding a balance between customer’s requirements towards “zero-emission vehicle,” “connected car,” choice of materials, clarity of functions, and interface modes under the pressure of production time and cost are not easy. The AttributDo-project aims to help engineers create, define, verify and validate new and existing design features for new product development.
2021 – 2021
The project aims to test the idea of an effective circulation system for material waste from additive manufacturing. Our goal is to map the prerequisites for closer collaboration between material suppliers and additive manufacturers, including new business models, partnerships and logistics solutions.
2017 – 2018
DIDAM develops and demonstrates digitalization solutions to industrialize Additive Manufacturing
2020 – 2023
DiLAM strengthens the competitiveness of the Swedish manufacturing industry by aligning the digital and physical supply chains for additive manufacturing of large parts.
2017 – 2020
Tidsättning av manuell montering är centralt för verkstadsindustrins konkurrenskraft.
2021 – 2024
DiVISI aims at investigating how sharing of digital information can improve the forest-forest industry value chain.
2020 – 2023
The project aims a digitising the temperatures during the casting of rolls and suggest actions to the casting manager to reduce the variability of the process
2015 – 2016
To demonstrate the new technology with robots that enable Swedish companies to develop innovative new products for automated production o maintenance.
2017 – 2020
The project aims at radically improving the working environment and the employee security within the heavy manufacturing industries by using and adapting the latest technology for low and ultraprecise positioning and decision support systems. The target is to increase security and safety by adapting the decision-support and positioning system for the heavy manufacturing industries.
2017 – 2018
Design process from concept to printable stl-file for AM including surface based networks in the structure.
2019 – 2022
SCARCE will investigate the needs, possibilities and obstacles in value chains up- and down-stream from a focal SME company. SCARCE will explore what data to measure and visualize, and how this data can enable more automated execution, as well as, more dynamic and proactive planning of production capacity and material flows across the companies in the value chain. In addition, we will study organizational capabilities, especially the future human role, for implementing and managing in a digital and data-driven value chain.
2019 – 2019
Developing circular production systems using digital technologies
2021 – 2024
The aim of the project is to demonstrate utilization of additive manufacturing for copper-based products and process solutions and faster adaption
2016 – 2018
IDAG aim to identify gaps and propose actions for the digital infrastructure necessary to industrialize additive manufacturing technologies. Actors from a new type of value chain of manufacturing companies – from powder to product – collaborate with digital solution providers and researchers to understand the needs and articulate the necessary actions through analysis of industrial cases. The target is to deliver a description in the form of a roadmap for how these actions can be developed and provided in order to ensure flexible and scalable digital platforms for additive manufacturing value chains.
2019 – 2019
The project aims to reduce the lead time for sheet metal die tryout by optimizing the value stream and develop methods for numerical compensation of die and press deflections.
2017 – 2019
Building systems for timber structures, which reduces construction cost and climate impact.
2021 – 2024
Reduce the environmental impact of foundries by reducing the amount of sand waste using machine learning.
2023 – 2024
This project aims to contribute to the development of future ERP-systems. The project will explore how to offer work, redefine work roles and challenge companies to make use of advanced systems support and the technology within and around these. Overall, the project aims to contribute to the development of both the next generation of ERP-systems and a complementary change in the way firms see upon work organization, so that technology can support and meet the needs of the humans within organisations rather than enforcing structures upon them.
2019 – 2019
Reduced lead times and improved performance for tooling through innovative manufacturing and assembly strategies as well as optimised design enabled by use of additive manufacturing (AM).
2016 – 2018
Assessing the Robustness of the Laser Powder Bed Fusion Process
2021 – 2024
Improve the efficiency of sawmills, including improved monitoring and maintenance of the production line. This by sharing data via digital twin between the actors in the maintenance chain.
2019 – 2019
The paintshop is often a bottleneck in production and the processes are fine-tuned based on testing on numerous prototypes. To meet the future demands there is a great need to improve the product preparation process. The aim is to develop methods, techniques and software, and supporting measurement methodology, for simulation of paint curing in IR and convective ovens. The goal is to assist the industry to further develop and optimize their surface treatment to be more energy and cost efficient; to have a shorter lead time in product development; and to give a higher product quality.
2016 – 2019
The project aims to digitalize established tools for production disturbance handling.
2018 – 2020
Difficulties in joining are often a limiting factor for vehicle manufacturers during product weight reduction.
2020 – 2023
The project resulted in a supportive tool for collaboration projects with the purpose of developing robust production equipment with high production efficiency in combination with low operational and maintenance costs.
2013 – 2016
The project will develop a concept for production workers to easily build simple low-cost IoT-aided improvement solutions at the production shop floor.
2018 – 2020
Novel methods, techniques and software for simulation of electrodeposition and galvanization processes.
2020 – 2023
This project intends to design and develop a new test methodology for evaluation of power flowability in powder bed fusion (PBF) systems. The test apparatus will simulate powder flow in PBF machines and can be used for optimizing the powder layering behavior for potential utilization of alternative powder qualities. Additionally, this equipment creates opportunities for both powder producers and AM part manufacturers to minimize powder waste and maximize material utilization.
2017 – 2018
The project's main goal is to develop a design and manufacturing methodology, for resource efficient additive manufacturing of components in the automotive industry.
2017 – 2020
Better work instructions for more efficient and inclusive work
2022 – 2025
WELDVISI will create a new sensor-based assistance system for manual manufacturing with real-time cognitive feedback and documentation of parameters.
2022 – 2025
SCARCE II will develop a demonstrator to show how SMEs and associated value flows can increase efficiency, competitiveness, sustainability and internal collaboration through digitalisation. The goal is to show the value of a new digital solution. SCARCE focuses on two subcontractors in the value chain linked to Scania and Volvo. The demonstrator is a cloud-based solution that connects three test beds in the industry; Stena Industry Innovation Lab, Chalmers, RISE IVF lab, Mölndal and KTH's test bed in Södertälje with the help of Siemens, AFRY, Qbim, Virtual Manufacturing and EQPack.
2020 – 2022
The goal is to demonstrate the additive manufacturing of micrometer/millimeter wave components.
2019 – 2022
Method to understand how to automate information handling to get more efficient handling of production deviations.
2018 – 2020
The aim of the present project is to develop a prediction tool for laminated veneer products (LVPs) to make it possible for the industry to improve product performance by reducing rejects and customer complaints and reducing time from idea to market by means of a tool to simulate LVP performance.
2019 – 2021
Målet var att förstå de utmaningar som den svenska och japanska industrin står inför studiebesök.
2017 – 2018
The project aims to use deviation data for improving the product design and production.
2020 – 2023
The project aims at facilitating the implementation of Smart Maintenance through extended collaboration within the maintenance community.
2017 – 2019
Kunskapsförmedlingen 