• norsk
    • English
  • norsk 
    • norsk
    • English
  • Logg inn
Vis innførsel 
  •   Hjem
  • Fakultet for ingeniørvitenskap (IV)
  • Institutt for maskinteknikk og produksjon
  • Vis innførsel
  •   Hjem
  • Fakultet for ingeniørvitenskap (IV)
  • Institutt for maskinteknikk og produksjon
  • Vis innførsel
JavaScript is disabled for your browser. Some features of this site may not work without it.

Ski friction on snow and ice

Dobloug, Morten Meling
Master thesis
Åpne
17585_FULLTEXT.pdf (Låst)
17585_COVER.pdf (Låst)
Permanent lenke
http://hdl.handle.net/11250/2615269
Utgivelsesdato
2017
Metadata
Vis full innførsel
Samlinger
  • Institutt for maskinteknikk og produksjon [2588]
Sammendrag
This thesis has tree main focus points; ski friction theory, materials and finish and the use of machine learning algorithms. The main results are in the machine learning segment. Olympiatoppen has recorded 16 000 ski pairs with up to 59 parameters which has been the basis for the machine learning algorithms. This thesis provides a working machine learning algorithm specialized for Olympiatoppens way of collecting data, with higher than 80\% accuracy. The algorithm takes in ten environmental parameters, and gives out the ten best products and their probability of success for the situation. The level of importance for the environmental parameters, according to the recorded data, is looked at and discussed. In the materials and finish section, zirconia and nonuniform grinding are found to be theoretically interesting results to apply to cross country skiing in the future. The thesis also explains the main influences to glide for sliders on snow and ice.
Utgiver
NTNU

Kontakt oss | Gi tilbakemelding

Personvernerklæring
DSpace software copyright © 2002-2019  DuraSpace

Levert av  Unit
 

 

Bla i

Hele arkivetDelarkiv og samlingerUtgivelsesdatoForfattereTitlerEmneordDokumenttyperTidsskrifterDenne samlingenUtgivelsesdatoForfattereTitlerEmneordDokumenttyperTidsskrifter

Min side

Logg inn

Statistikk

Besøksstatistikk

Kontakt oss | Gi tilbakemelding

Personvernerklæring
DSpace software copyright © 2002-2019  DuraSpace

Levert av  Unit