Kunskapsförmedlingen 4S – Strategies and Standards for Smart Swedish Industry (part2)
Projektet 4S - Strategies and Standards for Smart Swedish Industry - har som övergripande mål att stärka Sveriges position som ett ledande land inom Smart industri.
2019 – 2020
Projektet 4S - Strategies and Standards for Smart Swedish Industry - har som övergripande mål att stärka Sveriges position som ett ledande land inom Smart industri.
2019 – 2020
A digital twin model for improved predictive maintenance decision support, supporting service business models
2019 – 2022
Development of a thermo-chemical test bed and implemenation of results for chosen processes and applications
2019 – 2022
To aim is to develop a low-cost vision system for automated quality inspections in assembly lines
2018 – 2020
The aim of the ARR project is to develop the potential of automation in repairs and remanufacturing
2018 – 2020
Method to understand how to automate information handling to get more efficient handling of production deviations.
2018 – 2020
The aim is to use compound casting to reduce weight by at least 30 % on a truck wheel hub without deteriorating the performance.
2018 – 2021
This project will in a doctoral project develop models of how the cooling rate affects the fatigue strength so that production can quickly be adapted to new components and steel alloys in order to reduce lead times.
2016 – 2020
The project aims to digitalize established tools for production disturbance handling.
2018 – 2020
2017 – 2020
Digi-load focuses on to enhance the competitiveness in the Swedish surface treatment industry through automation and digitalization
2017 – 2020
2017 – 2020
Demonstrations of a digital infrastructure that supports manufacturing by creating a digital twin of the production system based on existing IT applications for development.
2017 – 2020
Methods for 3D scanned digital twins for efficient development and installation of production facilities at SMEs
2018 – 2021
The project wants, by designing installation-friendly products in VR, to show improved ergonomics sometimes by installers, increased automation with the help of collaborative robots.
2019 – 2021
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
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
The transition from conventional to electric power lines creates many challenges, but also opens up new possibilities for component packing and design of load bearing structures as well as new manufacturing methods. The project aims to exploit opportunities with sandwich construction to reduce weight and hence the energy consumption for propulsion; reduce heat losses and hence energy consumption for climate change and to reduce manufacturing costs using new manufacturing concepts, rational assembly and new construction technology.
2017 – 2020
e-FACTORY will enable companies to utilize digital tools as a means to obtain a number of different production values, e.g. increased capacity, improved quality, improved traceability, etc
2018 – 2020
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
Study a new QP forming process steel grade that shows significantly improved properties
2018 – 2021
The project focuses on the combined effects of creep and corrosion on fatigue life, thus contributing to reliable material data and material models for development of exhaust manifolds.
2018 – 2020
The goal is to demonstrate the additive manufacturing of micrometer/millimeter wave components.
2019 – 2022
The aim is to develop new models for visualizing and predicting delivery schedule variations in supply chains.
2018 – 2021
Hybrid joints, combination of gluing and mechanical joining are highly demanded where several materials are to be used and assembled. HJT therefore focuses on the smart factory's ability to create flexible production with simulation and programming in a digital twin that combines the latest technology for bonding, assembly and mechanical joining, rheology based simulation and automated collision-free planning. The projects goal is to focus on the whole hybrid joining process and to establish a testbed for hybrid joining as a resource for Swedish Industry.
2017 – 2020
Develop alloys of grey iron or compacted graphite iron for cylinder heads with doubled life.
2018 – 2021
Implementation of thin film pre-treatments to replace ZnPh for a more sustainable and cost-efficient production.
2019 – 2022
Innofacture är en Företagsforskarskola som bedrivs i samverkan mellan Mälardalens högskola och tio av landets största tillverkningsföretag. Projektet fokuserar både på innovation och produktion för att utveckla produktionsprocesser i företagen.
2012 – 2021
The goal is to improved resource utilisation of advanced machinery through an integrated metrology and analytics approach.
2019 – 2022
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
Robust laser welding of aluminium by using innovative laser welding tools and prediction models to avoid cracking and distortions
2017 – 2020
Demonstrate solutions for visibility in production logistics, for dynamic abilities and resource efficiency.
2019 – 2022
The project will enable joining of new advanced materials by developing a new methodology for weldbonding:
2019 – 2021
To provide understanding of the direct and indirect cost and CO2 effects of packaging principles for industrial packaging in the automotive industry.
2018 – 2021
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
Develop and validate predictive maintenance algorithms based on AI and ML. The vision is failure free production
2019 – 2022
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
50% increased productivity targeting robust production along the whole value chain for transmission parts
2018 – 2021
The goal is to increase the knowledge in robust design and manufacturing of components with high quality and low environmental impact.
2018 – 2020
Design process from concept to printable stl-file for AM including surface based networks in the structure.
2019 – 2022
New non-destructive test for sand moulds for iron and steel casting based on new measurement method and data analysis.
2019 – 2021
The purpose of this project is to adopt and to demonstrate a system for automatic inspection of all manufactured components in-line in a production line.
2017 – 2020
Every manufacturing company measure and control production performance with a system of KPIs. The aim of the SMART-PM project is to investigate and demonstrate new ways of collecting data, transforming data to information and introducing new decision tools based on valid information and economic models of the production systems.
2018 – 2020
Målet är att demonstrera byte från perfluorerade kemikalier till miljövänlig silikonkemi i kombination med nya textila strukturer, för att nå smutsavvisande fordonstextil.
2017 – 2020
2017 – 2021
Recent research from Chalmers have shown that by slightly tuning robot motions, the energy use can be reduced by 10 –30%, with preserved cycle time.
2017 – 2020
To demonstrate the new technology with robots that enable Swedish companies to develop innovative new products for automated production o maintenance.
2017 – 2020
The goal is to develop decision support to handle increased flexibility in next generation platforms in the automotive industry.
2018 – 2022
The project will develop a demonstrator of a digital human modelling tool considering human diversity, to be used for design, optimisation, visualisation, and verification of vehicle assembly workstations.
2019 – 2022
