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Hopp til hovedinnhold
  • Maskinkonstruksjon
  • Multibody-dynamikk
  • FEM/Plastisk forming av materialer
  • Matematisk modellering 
  • Tilstandsovervåking og kontroll 

Projects and programmes

Software Based Modelling and Analysis of Vehicle Crash Dynamics: The overall objective of this project is to investigate the crashworthiness in the vehicle front structure by experiments and analysis. Because of the project, we will know more about the fundamentals of engineering mechanics and to apply these fundamentals to the study of vehicle crashworthiness. Specifically, we aim to:

  • Develop a methodology and a knowledge base that will represent vehicle crash dynamics based on the fundamentals of mechanics and determine the correct impact load-transfer characteristics.
  • Develop systems and algorithms that enable the further development of occupant impact dynamics and evaluate the overall deformations caused by the impact loads.
  • Increase the scientific competence on vehicle crashworthiness.

In each of these aims, knowledge of the fundamental principles of mechanics is essential. Also, the ability to apply such knowledge to hardware, to developmental work, or analytical modelling is required. In addition, the activity will improve education in Engineering at the academic partner institutions, in particular Impact Engineering.

Model based design and optimization of high-pressure RTJ 15” – 30” range diameter cold deformed flange connection for subsea use.

Welding has been the technology of choice for connection of flanges subsea for decades. Welding under water is a complex procedure which requires highly trained divers or ROVs at greater depths. The flange to pipe connection technology utilising cold deformation of the pipe developed by Quickflange AS is a quick and robust method for connecting flange to pipe end. The method is increasingly applied for offshore applications. The technology is based on plastic cold expansion/deformation of the pipe into a modified standard flange by use of a hydraulic flanging tool.

The Quickflange method is today applicable for pipe dimensions up to 12" depending on material quality. To apply the Quickflange technology for subsea applications the following objectives must be reached

  • The cold deformed flange connection must allow a maximum operating pressure up to 250 bar.
  • The cold deformed flange connection must be expanded to pipe diameters up to 18".
  • The technology must be adapted for high-pressure ring-type-joint (RTJ) flanges that are used subsea.

In order to reach the above given objectives there are several challenges. This project addresses some of them, and they are:

  • Develop a better understanding of the parameters affecting the load carrying capacity and the sealing capability of the pipe/flange connection to extend the Quickflange technology to the pipe sizes and pressures commonly found for subsea applications.
  • Develop models for analysis of the cold flanging process.
  • Develop models for analysis of the load carrying capacity and sealing capability of the pipe/flange connection.
  • Develop models for design scaling and design optimization of pipe/flange connection in order to maximize load carrying capacity and sealing capability.

Planned projects

When the Mechatronic Innovation Lab is established together with NODE, our group will be active in building test facilities and running tests of equipment where great dimensions and forces are included (Sørlandslab). One PhD student is proposed in this group.

Selected publications

  • Andreas Klausen and Kjell G. Robbersmyr. Cross-correlation of whitened vibration signals for low-speed bearing diagnostics. Mechanical Systems and Signal Processing, 118:226–244, 2019. 
  • M Hemmer, KG Robbersmyr, T Waag, and T Meyer. Rib-Roller Wear in Tapered Rolling Element Bearings: Analysis and Development of Test Rig for Condition Monitoring. In The 13th World Congress on Engineering Asset Management (WCEAM-2018), Stavanger, Norway, 2018. 
  • S. Falconer, E. Nordgaard-Hansen, and G. Grasmo. Temperature measurements as a method for monitoring ropes. In The 13th World Congress on Engineering Asset Management (WCEAM- 2018), Stavanger, Norway, 2018.  
  • S Nordaas, Morten K. Ebbesen, and TO Andersen. Analysis of Valve Accuracy and Repeatability in High Efficient Digital Displacement Motors. In FPMC2018 ? ASME Symposium on Fluid Power and Motion Control, Bath, UK, 2018.   Jagath Sri Lal Senanayaka, Kjell G Robbersmyr, and Khang Huynh Van. Fault detection and classification of permanent magnet synchronous motor in variable load and speed conditions using order tracking and machine learning. Journal of Physics: Conference Series, 1037(3):032028, 2018.  
  • J. Sri Lal Senanayaka, K.H. Van, and K.G. Robbersmyr. A robust method for detection and classification of permanent magnet synchronous motor faults: Deep autoencoders and data fusion approach. In Journal of Physics: Conference Series, volume 1037, 2018.  
  • T Waag and M Hemmer. Observation and Processing of Instantaneous Frequency Variations during Bearing Tests. In The 13th World Congress on Engineering Asset Management (WCEAM- 2018), Stavanger, Norway., 2018.
  • Donkov, Viktor Hristov; Andersen, Torben Ole; Pedersen, Henrik Clemmensen; Ebbesen, Morten Kjeld. Application of Model Predictive Control in Discrete Displacement Cylinders to Drive a Knuckle Boom Crane. I: 2018 Global Fluid Power Society PhD Symposium (GFPS). IEEE conference proceedings 2018 ISBN 978-1-5386-4785-1. 
  • Daniel Hagen, Witold Pawlus, Morten K. Ebbesen, and Torben Ole Andersen. Feasibility Study of Electromechanical Cylinder Drivetrain for Offshore Mechatronic Systems. Modeling, Identification and Control: A Norwegian Research Bulletin, 38(2):59–77, 2017.  
  • Milad Golzar, Huynh Van Khang, Alf Magne Midtbo Versland. Control of ultra-high switching frequency power converters using virtual flux-based direct power control. 20th International Conference on Electrical Machines and Systems (ICEMS), 2017, pages 1–6, 2017.  
  • Surya Teja Kandukuri, Jagath Sri Lal Senanayaka, Van Khang Huynh, Hamid Reza Karimi, and Kjell G. Robbersmyr. Current signature based fault diagnosis of field-oriented and direct torque- controlled induction motor drives. Proceedings of the Institution of Mechanical Engineers. Part I: Journal of Systems and Control Engineering, 231(10):849–866, 2017.  
  • Surya Teja Kandukuri, Jagath Sri Lal Senanayaka, Van Khang Huynh, and Kjell G. Robbersmyr. A two-stage fault detection and classification for electric pitch drives in offshore wind farms using support vector machine. In 2017 20th International Conference on Electrical Machines and Systems (ICEMS), pages 1–6, 2017.  
  • S Nordaas, TO Andersen, and MK Ebbesen. The potential of a digital hydraulic winch drive system, In Proc. of The Ninth Workshop on Digital Fluid Power, Aalborg, Denmark, 2017.  
  • J S L Senanayaka, S T Kandukuri, Huynh Van Khang, and K G Robbersmyr. Early detection and classification of bearing faults using support vector machine algorithm. 2017 IEEE Workshop on Electrical Machines Design, Control and Diagnosis (WEMDCD), pages 250–255, 2017.  
  • Jagath Sri Lal Senanayaka, Huynh Van Khang, and Kjell G Robbersmyr. Towards online bearing fault detection using envelope analysis of vibration signal and decision tree classification algo- rithm. In 2017 20th International Conference on Electrical Machines and Systems (ICEMS), pages 1–6, 2017.  
  • A Klausen, RW Folgerø, KG Robbersmyr, HR Karimi. Accelerated Bearing Life-time Test Rig Development for Low Speed Data Acquisition. Modeling, Identification and Control, 2017.  
  • Henriksen, J., Hansen, M.R., Thrane, F.C., 2017. Axial Load Capacity of Cold Formed Pipe Flange Connection. Journal of Pressure Vessel Technology, Vol. 139, Issue 5, pp. 051201-1–051201-8
  • Surya Teja Kandukuri, Andreas Klausen, Hamid Reza Karimi, and Kjell Gunnar Robbersmyr. A review of diagnostics and prognostics of low-speed machinery towards wind turbine farm-level health management. Renewable and Sustainable Energy Reviews, 53:697–708, 2016.  
  • Surya Teja Kandukuri, Kjell G. Robbersmyr, and Hamid Reza Karimi. Towards farm-level health management of offshore wind farms for maintenance improvements. International Journal of Advanced Manufacturing Technology, 83(9-12):1557–1567, 2016.  
  • Zuolong Wei, Hamid Reza Karimi, and Kjell Gunnar Robbersmyr. Analysis of the Relationship between Energy Absorbing Components and Vehicle Crash Response. SAE Technical Paper 2016.  
  • S.S. Tørdal, A. Klausen, H.R. Karimi, K.G. Robbersmyr, M. Jecmenica, and O. Melteig. An application of image processing in vehicle crash motion detection from high frame rate video. International Journal of Innovative Computing, Information and Control, 11(5), 2015.  
  • Espen G. Lund, Mladen Jecmenica, Ole Melteig, Kjell G. Robbersmyr, and Hamid Reza Karimi. Development and validation of a nonlinear dynamic impact model for a notch impact. The International Journal of Advanced Manufacturing Technology, 80(9-12):1945–1955, 2015.  
  • Jan Henriksen, Håkon O. Nordhagen, Hieu Nguyen Hoang, Michael R. Hansen, and Fredrik Christopher Thrane. Numerical and experimental verification of new method for connecting pipe to flange by cold forming. Journal of Materials Processing Technology, 220:215–223, 2015.  
  • Henriksen, J., Nordhagen, H.O., Hoang, H.N., Hansen, M.R., Thrane, F.C., 2015. Numerical and experimental verification of new method for connecting pipe to flange by cold forming. Journal of Materials Processing Technology 220, pp. 215-223.
  • Kjell G. Robbersmyr, Herman Olsen, Hamid Reza Karimi, and Kristian Tønder. Oil whip- induced wear in journal bearings. International Journal of Advanced Manufacturing Technology, 73(5-8):973–980, 2014.  
  • Ze Zhang, Hamid Reza Karimi, Hai Huang, and Kjell G. Robbersmyr. Vibration control of a semiactive vehicle suspension system based on extended state observer techniques. Journal of Applied Mathematics, 2014.  
  • Lin Zhao, Witold Pawlus, Hamid Reza Karimi, and Kjell G. Robbersmyr. Data-based modeling of vehicle crash using adaptive neural-fuzzy inference system. IEEE/ASME Transactions on Mechatronics, 19(2):684–696, 2014.  
  • Kjell J. Gåsvik, Kjell G. Robbersmyr, Trond Vadseth, and Hamid Reza Karimi. Deformation measurement of circular steel plates using projected fringes. International Journal of Advanced Manufacturing Technology, 70(1-4):321–326, 2014.  
  • Andreas Klausen, Sondre Sanden Tørdal, Hamid Reza Karimi, Kjell G. Robbersmyr, Mladen Jecmenica, and Ole Melteig. Firefly optimization and mathematical modeling of a vehicle crash test based on single-mass. Journal of Applied Mathematics, 2014.

 

Medlemmer i gruppen

Assosierte medlemmer

  • Bernard Munyazikwiye, ph.d.- stipendiat UiA
  • Mladen Jecmenica, professor, USN
  • Ole Melteig, Høgskolelektor, USN
  • Kristian Tønder, professor emiritus, NTNU
  • Herman Magne Birger Olsen, førsteamanuensis, NTNU 

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