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Lasse Makkonen

Researcher at VTT Technical Research Centre of Finland

Publications -  112
Citations -  3935

Lasse Makkonen is an academic researcher from VTT Technical Research Centre of Finland. The author has contributed to research in topics: Icing & Snow. The author has an hindex of 34, co-authored 112 publications receiving 3427 citations. Previous affiliations of Lasse Makkonen include National Research Council.

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Models for the growth of rime, glaze, icicles and wet snow on structures

TL;DR: In this paper, basic principles of modelling of icing caused by freezing precipitation, cloud droplets and wet snow, as well as simulation of icicle growth, are presented, with an emphasis on estimating structural design iceloads and solving operational icing problems.
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Modeling of Ice Accretion on Wires

TL;DR: In this article, a time-dependent numerical model of ice accretion on wires, such as overhead conductors, is presented, and simulations of atmospheric icing are made with the model in order to examine the dependence of the accreted ice amount on atmospheric conditions.
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Ice Adhesion —Theory, Measurements and Countermeasures

TL;DR: In this article, the effects of temperature, ice salinity and properties of the substrate material on ice adhesion are explained by these theoretical concepts and major problems caused by ice-adhesion are outlined and the applications of the theory in combating ice-adshesion are discussed.
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Modelling and Prevention of Ice Accretion on Wind Turbines

TL;DR: In this article, a numerical model that simulates ice accretion amounts and ice shapes on wind turbine blades is presented, and applications of the model in the design of blade heating elements for anti-icing of wind turbines are described.
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The role of friction in the measurement of slipperiness, Part 1: Friction mechanisms and definition of test conditions

TL;DR: It is concluded that static friction measurement, by the traditional use of a drag-type device, is only suitable for dry and clean surfaces, and dynamic and transition friction methods are needed to properly estimate the potential risk on contaminated surfaces.