Kunskapsförmedlingen Improved methods for production welding of cast iron components
The aim of the project was to decrease costly and resource demanding scrapping of castings by increasing the knowledge and acceptance for production welding as a method.
2017 – 2018
Project time: 2023 – 2024
Budget: 12 000 000 kr
Reduce the environmental impact of foundries by reducing the amount of sand waste using machine learning.
This project stands as a pioneering endeavour to digitally transform the casting process in foundries, by integrating empirical measurements, numerical modelling, and machine learning within sand reclamation processes.
Currently, there is lack of scientific understanding and expertise amongst foundries to discern how different recycling routes and sand molding process parameters impact the casting quality. The project aims to introduce a machine learning sand reclamation model to assist foundries in optimizing process parameters, better manage their sand recycling process, optimize their material consumption, and decrease the amount of cast defects.
Through the cooperation between the partners within this project results from basic research and applied research can be quickly implemented to the sand system of the industry.
The aim of the project was to decrease costly and resource demanding scrapping of castings by increasing the knowledge and acceptance for production welding as a method.
2017 – 2018
New non-destructive test for sand moulds for iron and steel casting based on new measurement method and data analysis.
2019 – 2021
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
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
To lay the foundation for tomorrow’s network of circular economy microfactories producing products designed by Swedish industry and produced from local recycled plastics.
2022 – 2023
2021 – 2024
A large number of building boards are used in both construction and furniture manufacturing. They are usually made of sawdust with a formaldehyde-based adhesive as a binder. However, they have some problems, including the fact that shavings absorb moisture and that formaldehyde is both allergenic and potentially carcinogenic. The LigniGC project aims to develop a better alternative.
2021 – 2023
Prediktivt underhåll med internet-of-things och digitala tvillingar
2021 – 2021
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
DiVISI aims at investigating how sharing of digital information can improve the forest-forest industry value chain.
2020 – 2023
Today, the industry often uses energy- and time-consuming autoclave processes for the manufacture of composites with high quality requirements, towards for example the aerospace industry.
2017 – 2018
Urinary incontinence is a common problem that affects everyone, ranging from young women who have recently given birth to men who have undergone prostate surgery. Amongst people over the age of 70, almost half of everyone, both women and men, suffer from involuntary urine leakage.
2021 – 2023
Developing circular production systems using digital technologies
2021 – 2024
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 aim is to develop new models for visualizing and predicting delivery schedule variations in supply chains.
2018 – 2021
AutoPack skapar optimala elkablageinstallationer baserat på optimering och maskininlärning. AutoPack delivers optimal cabling installations based on optimization and machine learning
2021 – 2023
Novel methods, techniques and software for simulation of electrodeposition and galvanization processes.
2020 – 2023
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
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
Tidsättning av manuell montering är centralt för verkstadsindustrins konkurrenskraft.
2021 – 2024
The REWIND project combines the principles of lean production and eco-efficiency in three industry pilots at Stena Recycling, Volvo AB and IKEA GreenTech. The objective is to retain the value embedded in materials with circular strategies (reuse, remanufacture, recycle, repurpose, etc.). Lessons learnt from the pilots will be used to develop educational tools for engineers and industry leaders to accelerate the uptake of best practices for circularity and sustainable production.
2019 – 2022
For more than a hundred years, lubricants for various types of machines have mainly been made from fossil oil. The function has improved over time, but they also have disadvantages; they negatively affect the environment, human health and the climate. The project will therefore work to improve the practical applications by, together with other tests, combining lab tests with field tests.
2021 – 2023
The overall goal of DiSAM is to create a unique test AM Hub in Sweden for metal and polymer based additive manufacturing processes.
2017 – 2021
Develop and validate predictive maintenance algorithms based on AI and ML. The vision is failure free production
2019 – 2022
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
The aim of this prestudy is to verify and demonstrate the possibility to industrially implement a novel technique to radically make the casting of steel and ductile iron more effective with respect to output and sustainability aspects.
2017 – 2018
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's goal is the circular use of plastic in cars through reuse and recycling.
2023 – 2025
WELDVISI will create a new sensor-based assistance system for manual manufacturing with real-time cognitive feedback and documentation of parameters.
2022 – 2025
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 will develop a concept for production workers to easily build simple low-cost IoT-aided improvement solutions at the production shop floor.
2018 – 2020
DIDAM develops and demonstrates digitalization solutions to industrialize Additive Manufacturing
2020 – 2023
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
Method to understand how to automate information handling to get more efficient handling of production deviations.
2018 – 2020
Cyclicor, which has its origins at Lund University, has in a previous project within Mistra Innovation successfully developed a method for producing the plastics polycarbonate (PC) and polyurethane (PU) without toxic additives. One goal of the Polyfree 2.0 project is to increase the production of the new plastics from lab scale to quantities that enable the participating industrial companies in turn to take steps towards finished products. Other goals are for the plastics to be recyclable as well as have the required properties.
2021 – 2023
Urinary incontinence is a common problem that affects everyone from young women who have recently given birth to men who have undergone prostate surgery. Amongst people over the age of 70, almost half of everyone, both women and men, suffer from involuntary urinary leakage.
2021 – 2023
The goal of AutoFix is to increase automation of fixture design with integration of digital tools from different disciplines.
2020 – 2023
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
The project aims to use deviation data for improving the product design and production.
2020 – 2023
A research collaboration between Luleå University of Technology and the company RGS 90 will provide new treatment methods for three common but problematic types of waste.
2015 – 2019
Reduced variation in machinability promote lower costs, predictable and a sustainable processing of grey cast iron components.
2020 – 2022
Indium is a silvery metal that is very soft and malleable. Together with tin, the metal can be used to create indium tin oxide with properties that make it one of the most important components in the electronics industry. The goal of the project is therefore to build a recycling unit in a continuous production without waste.
2021 – 2023
Målet var att förstå de utmaningar som den svenska och japanska industrin står inför studiebesök.
2017 – 2018
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 project aims at facilitating the implementation of Smart Maintenance through extended collaboration within the maintenance community.
2017 – 2019
The project aims to improve the collection system for recycling of pre-consumer plastic waste.
2022 – 2023
The project aims to digitalize established tools for production disturbance handling.
2018 – 2020