DiLAM 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 innovative large scale plastic components.
AM holds the possibility to solve many of the main challenges with manufacturing and product development of customized large plastic parts, such as long lead times, long time-to-market and the need for large expensive tools in production, However, the entire supply chain has to be taken into consideration to ensure quality through repeatability and traceability. By employing a fully digitalized supply chain, DiLAM will demonstrate how AM and digitalization can increase flexibility while reducing the threshold and associated risks of introducing large scale AM for the participating end users. 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 for customized and unique products. 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.
Ph.D. Mechanical Engineering
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.
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.
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.
The goal is to demonstrate the additive manufacturing of micrometer/millimeter wave components.
The overall goal of DiSAM is to create a unique test AM Hub in Sweden for metal and polymer based additive manufacturing processes.
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.
The project aims to digitalize established tools for production disturbance handling.
Målet var att förstå de utmaningar som den svenska och japanska industrin står inför studiebesök.
The project will develop a concept for production workers to easily build simple low-cost IoT-aided improvement solutions at the production shop floor.
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).
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.
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.
The project aims at facilitating the implementation of Smart Maintenance through extended collaboration within the maintenance community.
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
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.
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.
Method to understand how to automate information handling to get more efficient handling of production deviations.
The project's main goal is to develop a design and manufacturing methodology, for resource efficient additive manufacturing of components in the automotive industry.
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.
Design process from concept to printable stl-file for AM including surface based networks in the structure.
To demonstrate the new technology with robots that enable Swedish companies to develop innovative new products for automated production o maintenance.
The aim of the project is to demonstrate utilization of additive manufacturing for copper-based products and process solutions and faster adaption