Ceetron AS

Godkjent 28.10.2014

Mobile Forging Workbench with additional core technology development - Extension

Periode

2014

Ordning

SkatteFUNN

Beløp

Ikke oppgitt · Beløp: ikke offentlig

Godkjent 08.04.2015

3D VISUALIZATION OF ENGINEERING SIMULATION DATA ON THE WEB

Periode

2015–2017

Ordning

SkatteFUNN

Beløp

Ikke oppgitt · Beløp: ikke offentlig

Godkjent 31.07.2018

Mariana SF Extension

The objective of the project is to create an advanced image-guided flexible catheter platform for bronchoscopy used for diagnosis and treatment of lung cancer. The MARIANA system will consist of three key elements: - DEEP-REACH: Image-guided tip-tracked catheter with lumen and mechanical steering. - DEEP-TRACK: Electromagnetic (wireless) tip and bronchoscopy tracking system - DEEP-VIEW: Image-guidance tool for navigation and cloud-based image processing. The project will result in a more accurate, more effective and less expensive management of early stage lung cancer compared to existing procedures. Increased accuracy will be achieved through significant progress beyond the current state of the art in image-guidance and tracking technology. While currently available technology does not enable real-time diagnosis and therapy, advanced imaging when used in conjunction with instrument tracking has been shown to improve diagnostic outcomes. Our catheter channel enables immediate endoluminal probe therapy using high-impact developmental technologies such as photodynamic therapy, cryotherapy and electrochemotherapy without the need for a separate procedure. The image-guidance platform will reduce biopsy costs by enabling endoluminal approaches to nodules which are now subject to surgical biopsy. Wireless electromagnetic navigation is facilitated with machine-learned predictive software mapping of lumens in the outer airways using the CustusX platform technology. Real-time patient motion tracking will facilitate compensation of tracking errors due to breathing and patient movement. Based on novel lumen extraction algorithms and registration techniques, we will develop and produce a cloud-based software tool for planning and guiding procedures. We envisage significant navigation capabilities beyond the current commercial standard of 6-8 airway branches with endoluminal navigation in up to 12 airway branches.

Periode

2018–2020

Ordning

SkatteFUNN

Beløp

Ikke oppgitt · Beløp: ikke offentlig

Godkjent 17.09.2021

ImproveFLOW SF Extention

Norway has committed to cutting greenhouse gas emissions by 50-55 percent by 2030 and by at least 80 percent by 2050. Reaching these goals will require a transition in energy carriers, from petroleum to renewable resources. Onshore and fixed offshore wind have transitioned to become a mainstream source of electricity over the past decades. However, there is increasing resistance in local communities against onshore wind farms because of environmental impact and loss of natural habitats. It is therefore imperative to find alternatives to onshore wind farms that are more environmentally friendly and have a smaller visual footprint. This project aims to significantly advance and improve the accuracy, security and efficiency of prediction methods and design processes for floating wind farms by adding modern, advanced multi-diciplinary 3D visualization capabilities and collaborative workflows to a new Floating Offshore Wind Software platform. The project is running in parallel with an R&D project funded by the Research Council, ImproveFLOW. The underlying idea is to extend and further develop state-of-the-art cloud based visualization technologies and customize and apply these technologies towards wind resource assessment and aero-hydro-servo-elastic analysis. A first challenge for energy production is that floating turbines are subjected to interaction effects which vary with both wind and wave conditions. To visualize these interaction effects is of prime importance to understand how the interaction effects influence on the energy production. A second challenge is related to the need to run a coupled analysis of the floater and the turbine in a secure manner. Provision of a workflow that allow accurate and secure simulation and visualization of the coupled solution which satisfies IP concerns and delivers a framework for analysis, data exchange and collaboration is a key element to overcome this challenge.

Periode

2021–2023

Ordning

SkatteFUNN

Beløp

Ikke oppgitt · Beløp: ikke offentlig

Godkjent 25.09.2024

ImproveFLOW SF Extention 2024

Norway has committed to cutting greenhouse gas emissions by 50-55 percent by 2030 and by at least 80 percent by 2050. Reaching these goals will require a transition in energy carriers, from petroleum to renewable resources. Onshore and fixed offshore wind have transitioned to become a mainstream source of electricity over the past decades. However, there is increasing resistance in local communities against onshore wind farms because of environmental impact and loss of natural habitats. It is therefore imperative to find alternatives to onshore wind farms that are more environmentally friendly and have a smaller visual footprint. This project aims to significantly advance and improve the accuracy, security and efficiency of prediction methods and design processes for floating wind farms by adding modern, advanced multi-diciplinary 3D visualization capabilities and collaborative workflows to a new Floating Offshore Wind Software platform. The project is running in parallel with an R&D project funded by the Research Council, ImproveFLOW. The underlying idea is to extend and further develop state-of-the-art cloud based visualization technologies and customize and apply these technologies towards wind resource assessment and aero-hydro-servo-elastic analysis. A first challenge for energy production is that floating turbines are subjected to interaction effects which vary with both wind and wave conditions. To visualize these interaction effects is of prime importance to understand how the interaction effects influence on the energy production. A second challenge is related to the need to run a coupled analysis of the floater and the turbine in a secure manner. Provision of a workflow that allow accurate and secure simulation and visualization of the coupled solution which satisfies IP concerns and delivers a framework for analysis, data exchange and collaboration is a key element to overcome this challenge.

Periode

2024

Ordning

SkatteFUNN

Beløp

Ikke oppgitt · Beløp: ikke offentlig

Godkjent 18.08.2025

ImproveFLOW SF Extention 2025

Norway has committed to cutting greenhouse gas emissions by 50-55 percent by 2030 and by at least 80 percent by 2050. Reaching these goals will require a transition in energy carriers, from petroleum to renewable resources. This project aims to advance and improve the accuracy, security and efficiency of prediction methods and design processes for floating wind farms by adding modern, advanced multi-diciplinary 3D visualization capabilities and collaborative workflows to a new Floating Offshore Wind Software platform. Floating turbines are subjected to interaction effects which vary with both wind and wave conditions. To visualize these interaction effects is of prime importance to understand how the interaction effects influence on the energy production. There is a need to run a coupled analysis of the floater and the turbine in a secure manner. Provision of a workflow that allow accurate and secure simulation and visualization of the coupled solution which satisfies IP concerns.

Periode

2025

Ordning

SkatteFUNN

Beløp

Ikke oppgitt · Beløp: ikke offentlig