Kunskapsförmedlingen A safety model for collaborative robots (SCOR)
Development of a comprehensive model for safe installation of collaborative robots
2016 – 2018
Development of a comprehensive model for safe installation of collaborative robots
2016 – 2018
2016 – 2018
2016 – 2018
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
To aim is to develop a low-cost vision system for automated quality inspections in assembly lines
2018 – 2020
2017 – 2018
2016 – 2019
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
Målet är förbättrad hållfasthet med mer än 15% (tre gånger längre livslängd) genom styrd kylning vid sätthärdning för drivlinekomponenter.
2016 – 2020
The purpose of the COPE-project is to increase the ability of Swedish industries to maintain and strengthen the role as a core plant, with undiminished competitive capabilities.
2016 – 2019
2017 – 2018
The project aims to increase productivity, robustness, and resource efficiency in production systems using data-driven maintenance planning.
2016 – 2019
The project aims to digitalize established tools for production disturbance handling.
2018 – 2020
2017 – 2020
2015 – 2018
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
Industrial production systems typically include many process steps performed by automatic or semi-automatic machines. Depending on the different variables, these machines age and thereby affecting both the quality of the manufacturing step and the resource requirements
2017 – 2018
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 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 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
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
The purpose of the project is to identify and clarify both the business and technical mechanisms driving the efforts towards cost-effective volume production of fibre composites, as well as the process that enables a competitive expansion of the production in Sweden.
2017 – 2018
The revolution of electrical vehicles has started and several of the major carmakers have declared that the goal will be met within the next 2-3 years. This cause increased needs for qualitative steels for electrification of vehicle pow er. Suppliers of electrical metals does not meet the needs for high quality input materials. The SuperSteel project will investigate how a project that combines know ledge capture and management, data management and advanced analytics from all actors in the supply chain can be implemented to realise the required product quality in a flexible production.
2017 – 2018
Study a new QP forming process steel grade that shows significantly improved properties
2018 – 2021
Develop innovative concepts for in-line NDT of heat treated components, hence minimizing the need for costly and time consuming destructive testing.
2015 – 2018
To replace the manual inspection, minimize the consequences of defects and to improve the quality of delivered products with an efficient and automated Quality Control system.
2016 – 2019
The aim of the project is to demonstrate utilization of additive manufacturing for copper-based products and process solutions and faster adaption
2016 – 2018
The uses of digital tools for simulation and decision support are activities that contribute to environmentally and economically sustainable production. Typically, this requires digital models of physical components and machines, so called cyber twins. For new investments, these models may be available, but for existing installations, methods are needed to obtain these.
2017 – 2018
To achieve the most resource efficient production it is necessary to also prioritize the water usage in industrial processes. Historically water efficiency has not been an area of major focus
2017 – 2018
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
Validate previously developed failure models on component level Implement models into a commercial code Shorten lead time for new advanced components. 15 % weight reduction
2015 – 2018
Develop alloys of grey iron or compacted graphite iron for cylinder heads with doubled life.
2018 – 2021
The aim is to decrease costly and resource demanding scrapping of castings by increasing the knowledge and acceptance for production welding as a method.
2017 – 2018
2017 – 2018
The purpose of this project is to perform a first investigation of the potential to evaluate in-line measurements with temporally resolved digital holographic interferometry using advanced process simulations.
2017 – 2018
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
2014 – 2018
2017 – 2018
2017 – 2018
The long-term goal of the research project is to develop hardware and software platform, i.e. modular systems that enables production workers to easily build and implement IoT-aided improvement solutions at the production shop floor
2017 – 2018
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
2017 – 2018
Robust laser welding of aluminium by using innovative laser welding tools and prediction models to avoid cracking and distortions
2017 – 2020
The project LISA2 will deliver industrial-ready services enabling Swedish industry to understand and tune their factories
2015 – 2018
The project goal is to minimize distortion of hardened components by evaluation and minimising effects from factors causing distortion potential in the process chain.
2015 – 2018
The project will develop design solutions where existing/modified joining techniques are used for joining of new lightweight materials to more traditional materials
2016 – 2019
Traditional soldering of heat exchanger plates is carried out batchwise by time-consuming heating in an oven with vacuum or protective gas atmosphere. The industry seeks a production flow, where each product is treated separately at different stations. By using ohmic heating directly on the heat exchanger package, short cycle times, low energy consumption, easy conversion, and high, measurable quality can be achieved.
2017 – 2018
To create an inventory of AI techniques for maintenance services, apply AI techniques to three industrial cases, and evaluate their economic and environmental implications.
2017 – 2019
This project explores the possibility of replacing hard chrome coatings on steel in volume applications with the Swedish innovation, TiSurf, which is a hardened nitride surface on titanium with excellent chemical and mechanical resistance. The long-term objectives are a more sustainable and cost-effective production of environmentally friendly hybrid materials to replace cancerogenic chrome based hard coatings and to create new application opportunities and markets. Therefore, the objective of the project is to develop and evaluate possible processes for hardened nitride surface on titanium with respect to relevant material and mechanical properties, to investigate and verify its potential as a sustainable replacement material for hard chrome and in various applications, such as piston rods, axles and tubes.
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
The aim with plasma as pretreatment before painting is to fully/partly replace the pretreatment of today with a quality assured, environmental and working friendly process.
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
The project focuses on economic and environmental sustainability and increased industrial competitiveness.
2017 – 2018
The main idea of the project is to investigate and demonstrate how the digitalized and proven systems and technologies of the Process Industry, like CPAS, can be used in DM to improve competitiveness and drive growth
2017 – 2019
To improve accuracy and usability for simulation of compression moulding through two PhD-students focusing on long and short fibre composites.
2017 – 2019
2017 – 2018
2017 – 2018
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's main goal is to develop a design and manufacturing methodology, for resource efficient additive manufacturing of components in the automotive industry.
2017 – 2020
RFID technology has never before been integrated into climate screens. The purpose is to extend the life of the screen and to help product developers optimize the screens properties
2017 – 2018
50% increased productivity targeting robust production along the whole value chain for transmission parts
2018 – 2021
The project aims to increase the knowledge about the mechanisms controlling the polishability of coated surfaces to facilitate the development and implementation phase of new and more environmental friendly coating systems.
2016 – 2019
Study the robustness of the post-weld treatment process HFMI with regard to weld quality and fatigue strength.
2018 – 2018
Purpose and goal is to create industrial guidelines and recommendations concerning the forming of composite materials in traditional production processes.
2015 – 2018
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
2017 – 2018
The project aims at facilitating the implementation of Smart Maintenance through extended collaboration within the maintenance community.
2017 – 2019
The project’s goal is to show that ultrasonic alignment of fibres can be used in sheet moulding compound (SMC) based manufacturing to tailor the alignment of fibres in pressed components.
2017 – 2018
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
The SQID project will develop an industrial cleaning and drying machine using Qlean water instead of traditional chemicals.
2016 – 2018
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
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
2017 – 2018
2015 – 2018
2017 – 2018
Further development of solutions for powerful collaborative robots, focusing on safety issues and the use of an enabling device.
2015 – 2018
In multi-stage machining, errors or variations in machined part features propagate downstream from process to process through the entire machining line. The objective of the project is to enable achieving a zero defect production by predicting and controlling variation and their propagation in multi-stage machining. This demands capturing the relations between variations and their sources in a multi stage machining. The project activities will be based on three industrial cases at Scania, LEAX AB, and GKN. The cases are meant to ground the already proven state of the art concepts in variation modelling, data analytics, measurement, precision pallet system, and simulation in real industrial applications. The application area of the project result covers manufacturability analysis, tolerance analysis, process planning as well as quality assurance strategies. The results and the demonstrations will be of interest to SME and large companies having multi stage machining.
2016 – 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 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. The aim is that the commissioning time for the oven curing processes of new models is reduced by 25%. Furthermore, the environmental impact will be reduced since significantly less prototypes need to be physically tested, and the process optimization aims to reduce the energy requirement in the ovens by 10%. A more uniform curing will improve product quality, reduce thermal deformation and stresses, and also yield a better work environment.
2016 – 2019
2017 – 2018
2017 – 2019