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Doctoral project: Seaworthiness assessment of WAAM manufactured marine propellers In this project, we study the general question: How can the seaworthiness of a marine structure and/or component be…
Project expert competence: Smart Industry, phase 2 The goal of the project is to develop courses at advanced level linked to Smart Industry based on the skills needs of industry. The project's target…
Project: Formaldehyde emissions from wood composites bonded with bio-based adhesives Formaldehyde based adhesives dominate the market and are used almost exclusively for wood panel production. The use…
Project: Climate neutral Växjö 2030 This project is a research collaboration with Växjö municipality for achieving a climate neutral Växjö in 2030 and how digital technologies can support this goal…
Project: Development of an innovative centrifugal condensation scrubber The project is aiming to optimize and demonstrate a techno-economic solution to efficiently reduce particulate matter emission,…
Project: Radioactivity – NORM contamination of LNG fuel systems In this project, we study if liquefied natural gas (LNG) fuel systems are contaminated by natural occurring radioactive material (NORM).…
Project: Application of new biorefinery lignin-based adhesives in the wood panel industry The project envisages a mobility of professor Stergios Adamopoulos (20 % work time) from Linnaeus University…
Project: Predicting the water vapor sorption of wood with machine learning methods The water vapor sorption behavior of wood is a fundamental property that affects nearly all of its properties such as…
Project: Improving the competitive advantage of CLT-based building systems through engineering design and reduced carbon footprint The objective of this project is to increase the competitiveness of…
Project: Renewable hydrophobing agents for fibreboards based on tall oil The project aims at preparing and testing 100 % renewable formulations that are based on tall oil for effective…
Seed project: European spruce bark beetles; advanced predictive forecasting by means of machine learning The main objective for this seed project within Linnaeus University Centre for Data Intensive…
Seed project: IoT for ships – an untapped data resource The main objective for this seed project within Linnaeus University Centre for Data Intensive Sciences and Applications (DISA) is to establish…
Seed project: Exploring data and establishing routines for collaboration on energy experiments The main objective for this seed project within Linnaeus University Centre for Data Intensive Sciences…
Seed project: Vibration-based strength grading of sawn timber The main objective for this seed project within Linnaeus University Centre for Data Intensive Sciences and Applications (DISA) was to…
Seed project: Data-intensive tools for effective carbon mitigation in forestry The main objective for this seed project within Linnaeus University Centre for Data Intensive Sciences and Applications…
Project: ForestValue Hardwood joint - Innovative joints in hardwoods The overall project objective is to foster high-performance hardwood structures in the European building sector by developing…
Project: Housing and residential development for increased growth (Boost) The Boost project has its starting point in building and living with glass and wood construction. The aim is to develop and…
Project: Drone measurement for the intelligent forest We are to develop a system for collection of forestry information with drones that fly in the forest below the canopy. Based on video recording,…