68143618

NFR

- High-strength multimaterial products in terms of weight and associated manufacturing processes

- Robust and flexible automation

- Sustainable and innovative organizations

The center has 14 industry partners representing the production of automotive parts, materials, tools, furniture, boats, ship equipment, aircraft parts and gas containers. In addition, the center has the following research partners: NTNU (3 faculties involved), NTNU Gjøvik, SINTEF (3 institutes involved) and SINTEF Raufoss Manufacturing (host institution).

https://www.forskningsradet.no/prosjektbanken/#/project/NFR/237900

68143617

NFR

v/Kristian Martinsen

Hovedprosjekt MultiMat stipendiat 

The industrial partners in MultiMat are manufacturing products based on combinations of plastic materials, composites and metals with a high degree of precision and strict requirements for a global market of demanding customers. Continuous innovation in both products and processes is needed to stay competitive, and the right choice of materials is a key factor. Product solutions are increasingly combinations of different materials where each material's best properties are utilized to achieve high performance combined with low weight and cost. The implications include challenges in joining and assembly processes, both in quality and efficiency.

The overall idea in the project is to develop new products and production processes based on a combination of different materials, with integrated and automated injection moulding, joining and assembly. The project will enable the realization of new and innovative products with new material combinations that cannot be realized in today's processes. The project will also achieve increased manufacturing productivity and effectiveness by developing automated, integrated and flexible technological solutions. These solutions will reduce the number of process steps, and secure the required quality, the cost-effectiveness and the quick response to changing customer demands.

https://www.forskningsradet.no/prosjektbanken/#/project/NFR/228449

68143620

NFR

v/Kristian Martinsen

MKRAM

The additive manufacturing (AM) market (machines, materials, manufacturing services) has grown considerably for many years. A large number of AM processes and materials are available, and new or improved processes and materials are introduced every year.

However, there are still several challenges for AM technologies as industrial manufacturing processes. In terms of part performance, the main challenges are material properties (including their anisotropy caused by the layerwise fabrication), surface finish, and part-to-part consistency (properties, dimensions). In some cases, the (effective) material properties of AM parts can be quite different from those known for traditional manufacturing processes.

The need for better knowledge of material properties and their consistency is widely recognized within the AM industry. The overall objective of the MKRAM project is to build knowledge on the effective mechanical properties resulting from AM processes. The MKRAM project focuses on two selected AM processes, powder bed fusion for metals and polymers. Furthermore the focus is on the following material groups: Nickel alloys, maraging steels and polyamides.

https://www.forskningsradet.no/prosjektbanken/#/project/NFR/248243

68143622

NFR

v/Halvor Holtskog

Lean Management

A growing number of companies have global ownership, and are included in global value chains and networks across the world. It is no longer sufficient to look at these questions only within a national framework. In Lean Management, we will lift the theme beyond the national level, and study the practice of lean in a broader context. The themes will be the kind of leadership that is required to be competitive within lean, the manner in which businesses working across value chains, and how lean is practiced in other Nordic countries.

https://www.forskningsradet.no/prosjektbanken/#/project/NFR/247603/Sprak=null

68143619

NFR

v/Halvor Holtskog

Forsprang 2018/Head start 2018

Head Start 2018 builds upon a long collaboration between IDT Solutions and Olympiatoppen. This collaboration has already resulted in several innovations in top competition skiing. In this project, EMIT is the third partner. Their more than 30 years experience with time taking in cross-country skiing, makes them an ideal partner by building upon their renowned technology emiTag.

Head Start 2018 will look at the skis as its main objective. Exploring new technology and innovative solutions for testing, collecting, and analyzing data will result in a quantum leap in gliding, understanding friction and sensor data. Parallel to this, will sensors be tested out to give constant feedback on the athlete performance at any given time.

https://www.forskningsradet.no/prosjektbanken/#/project/NFR/245625

68143621

NFR

V/Prashanth Gokuldoss

AddForm

The additive manufacturing (AM) market increases rapidly, and AM enters new industrial sectors. The overall idea of the project is to use rather inexpensive mould inserts made by AM (mostly non-metal AM) for injection moulding of plastic parts with properties similar to those of parts moulded with conventional steel moulds.

The objective is to develop methods for the manufacturing and use of inexpensive AM mould inserts for injection moulding, so that the industry can reduce costs and time in the product development phase, and also use such mould inserts in the regular production of small series.

The project is based on recent developments in improved AM materials and AM processes. In the project we have tested various AM technologies and mould/insert constructions, for real parts to be injection moulded, and we have also performed studies in order to gain fundamental knowledge about the performance and possibilities of such mould inserts in injection moulding processes. We have completed several case studies with demanding injection moulded components from the participating companies

https://www.forskningsradet.no/prosjektbanken/#/project/NFR/245685

90154300

NFR

v/Kristian Martinsen

MegaMould – ekstra store sprøytestøpte komponenten

The projects main idea is to develop processes, moulds, and methods, which make it possible to injection moulding parts in excess of 300kg.

Injection moulding gives components better surface finish and structural properties, than other manufacturing methods for for plastic materials.

The project will develop processes and technology that enables high quality products with excellent mechanical properties, fine texture and geometry within strict tolerance requirements, and robust processes without scrap, unexpected production stops or other anomalies. The project will look into new tool technology, optimized of the processes of using adaptive controlled heating and cooling of the mould and look at sustainable use of recycled materials and biopolymers. In the project, will the Ph.D candidate work in the interface between industrial needs, research methods and academic approach. MegaMould has used UN goals for sustainable development to identify what goals impacted by the project, and how to use these characterize the sustainability of the project results.

https://www.forskningsradet.no/prosjektbanken/#/project/NFR/256819

90222000

NFR

V/Kristian Martinsen

The Cyber Physical System Plant Perspective

The Industrial partners have described their models for a digital demonstrator as input to the project. Bentele focuses on the aspects of an optimized and digitalized production flow, which also include a Resource based apparoach for predictive maintenance.

The Hydro demonstrator covers a manufacturing and maintenance optimization the process in the foundry with use of equipmnet form from Hycast as the third indusry partner in the project.

A Norwegian based framework for Cyber Physical System, with structures and implementation tools are developed.

https://www.forskningsradet.no/prosjektbanken/#/project/NFR/267752/Sprak=null

90199200

RFF

v/Lizhen Huang

iSeelce – Key knowledge of icy road information system for data driven Ice Intelligence

The project aims to develop key knowledge on supporting the development and identification of a more sustainable icy road information system, with holistically evaluating the performance of the technologies from the sustainability perspectives, as the inputs for the future main researches, with following sub-objectives:

 (1) Identifying the requirement of the data quality and developing a multi-functional sensors/ sensors network for ice data collection with improved data quality (good accuracy and real time), especially on the black ice.

 (2) Developing a method to compare the performance of the existing data collection system and new developed system from the sustainability perspectives, include the functional requirements, environmental impacts, cost; and then identifying the challenges/road maps for future research and technologies development.

90253800

RFF

v/Michael Cheffena

Intelligent Bolted Joints

Bolt connections are commonly used structural fasteners in many type of industries including mechanical, aerospace and civil engineering. Bolts are fastened to maintain specific preloads during service to ensure the safety and reliability of structures. However, in many structures (e.g., wind turbines, oil & gas installations), maintaining the primary preload might be difficult due to external impacts (such as wind force) resulting in high vibrations followed by reduced tension which loosens the bolt connections. Periodic maintenance of the multipoint bolts is thus crucial for proper operations and avoidances of structural failure. However, measuring the condition of every single in-service bolt is often very costly and almost impossible in most applications due to the large number of bolts involved. Developing an effective (technological and economical) bolted joint monitoring system is thus an important engineering significance.

In this project, we aim to develop wireless enabled intelligent bolted joints for automatic monitoring. The monitoring can be used for preventing accidents (warning if a bolt is broken or loosened) and improved maintenance cycles where re-loading only the bolted joint that needs it. The novel aspect of this project is to present and develop the paradigm of self-powering, radio integrated, load-sensing intelligent bolted joints for large scale monitoring of critical structures. This is an important research topic as current methods are highly time-consuming and expensive involving regular manual operations for checking and maintaining the bolt preloads.

90253600

RFF

v/Prashanth Gokuldoss

TBIOAM

Additive manufacturing (AM) technologies are gaining increased attention from both scientific and industrial sectors, since it offers high degree of freedom that can theoretically produce parts having any possible geometry with extremely complex shapes layer-by-laser. The two most widely used AM processes are the selective laser melting (SLM) and electron beam melting (EBM), both belonging to the powder bed fusion category. Biomaterials (such as pure-Ti and Ti6Al4V) has been extensively processed by both SLM and EBM technologies. These materials have high specific strength, low modulus, good fatigue strength and good osteoconductivity. Even though these materials are considered to have low modulus, it is still much higher than the modulus of the human bone. Hence, these materials can be fabricated in the form of structures instead of the bulk form to reduce their modulus and to match with that of the human bone. These AM processes are good candidates for manufacturing structures and hence are extensively used in the field of bio-based industries in the form of scaffolds. The biggest advantage of fabricating biomaterials using the SLM/EBM process is that both microstructure and surface roughness can be varied to a reasonable extent, which is expected to affect both mechanical properties and cell growth characteristics. Moreover, the research on cell growth studies, especially osteoconductivity and achieving maximum osteopromotivity of such samples are still at their primitive stage and evoke opportunities to pioneering the research in this field. Therefore, the research in this field is necessary for knowledge creation, dissemination and innovation at both scientific and industry levels. The estimated business potential of bone grafting industry is around $850 million and it is rapidly increasing because of technological advancements in the area of 3D printing, which will boost several industrial opportunities in the Innlandet area.

v/Prashanth Gokuldoss

AMMM- – Additive Manufacturing of Metallic Materials – A long term sustainable cooperation between Norway – China – India – Brazil from SIU.

AMMM is a collaborative networking project between Norway (NTNU), China (South China University of Technology, Guangzhou as main partner and Kunming University of Science and Technology, China as a network partner), India (PSG Institute of Advanced Studies, Coimbatore and Indian Institute of Science both as network partners) and Brazil (Federal University of Sao Carlos as a network partner). Additive manufacturing (AM) is seen as a viable technology for the future, which is energy efficient and environmental friendly green technology. Both education and research activities in AM are growing at a rapid pace and NTNU’s plans the development of a master course on Additive Manufacturing at NTNU Gjøvik. With this project, we seek to strengthen and expand the existing collaboration between NTNU with the partners in China, India and Brazil. The main goals of this project are to strength our position in the field of AM through (1) development of common course work between the partner institutions (2) exchange and train academic and administrative staffs to improve the quality of education (3) carry out summer school (4) joint supervision of students and guest lecturing (5) internships through student mobility (6) student participation in joint research activities (7) R&D research with non-academic partners and (8) dissemination of results through workshops/seminars/webinars. We aim for creating a broad alliance with efficient transfer of knowledge and smart initiatives to have a sustainable long-term collaboration between partners in the field of AM (through education and R&D activities) to establish our stake in the field of AM