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Casselgren, Johan
Publications (10 of 24) Show all publications
Eppanapelli, L. K., Forsberg, F., Casselgren, J. & Lycksam, H. (2019). 3D analysis of deformation and porosity of dry natural snow during compaction. Materials, 12(6), Article ID 850.
Open this publication in new window or tab >>3D analysis of deformation and porosity of dry natural snow during compaction
2019 (English)In: Materials, ISSN 1996-1944, E-ISSN 1996-1944, Vol. 12, no 6, article id 850Article in journal (Refereed) Published
Abstract [en]

The present study focuses on three-dimensional (3D) microstructure analysis of dry natural snow during compaction. An X-ray computed microtomography (micro-CT) system was used to record a total of 1601 projections of a snow volume. Experiments were performed in-situ at four load states as 0 MPa, 0.3 MPa, 0.6 MPa and 0.8 MPa, to investigate the effect of compaction on structural features of snow grains. The micro-CT system produces high resolution images (4.3 μm voxel) in 6 hours of scanning time. The micro-CT images of the investigated snow volume illustrate that grain shapes are mostly dominated by needles, capped columns and dendrites. It was found that a significant number of grains appeared to have a deep hollow core irrespective of the grain shape. Digital volume correlation (DVC) was applied to investigate displacement and strain fields in the snow volume due to the compaction. Results from the DVC analysis show that grains close to the moving punch experience most of the displacement. The reconstructed snow volume is segmented into several cylinders via horizontal cross-sectioning, to evaluate the vertical heterogeneity of porosity distribution of the snow volume. It was observed that the porosity (for the whole volume) in principle decreases as the level of compaction increases. A distinct vertical heterogeneity is observed in porosity distribution in response to compaction. The observations from this initial study may be useful to understand the snow microstructure under applied stress.

Place, publisher, year, edition, pages
MDPI, 2019
Keywords
Tomography, snow grains, snow microstructure, Digital volume correlation, Porosity
National Category
Other Materials Engineering Applied Mechanics Fluid Mechanics and Acoustics
Research subject
Experimental Mechanics; Fluid Mechanics
Identifiers
urn:nbn:se:ltu:diva-68399 (URN)10.3390/ma12060850 (DOI)000465025400010 ()30871235 (PubMedID)2-s2.0-85063445766 (Scopus ID)
Funder
European Regional Development Fund (ERDF), 20201424
Note

Validerad;2019;Nivå 2;2019-03-22 (johcin)

Available from: 2018-04-18 Created: 2018-04-18 Last updated: 2019-05-03Bibliographically approved
Dittes, N., Pettersson, A., Sjödahl, M., Casselgren, J., Marklund, P. & Lugt, P. M. (2018). Optical Attenuation Characterization of Water Contaminated Lubricating Grease. Tribology Transactions, 61(4), 726-732
Open this publication in new window or tab >>Optical Attenuation Characterization of Water Contaminated Lubricating Grease
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2018 (English)In: Tribology Transactions, ISSN 1040-2004, E-ISSN 1547-397X, Vol. 61, no 4, p. 726-732Article in journal (Refereed) Published
Abstract [en]

Water-contaminated grease samples are investigated with attenuation spectra in the visible and near-infrared (NIR) regions in this article. The purpose of this investigation was to identify a model with optical attenuation spectra such that the water content of grease samples could be characterized with a simple measurement setup using common methodology from the field of instrumental chemistry. The ratio between two chosen wavelengths of light appears to approximate the water content of grease samples with an acceptable coefficient of determination using a methodology to show what can potentially be done to develop condition monitoring tools. To illustrate the outlined method, a prestudy of grease aging and oxidation levels is also investigated to show that other variables do not significantly change the measurement.

Place, publisher, year, edition, pages
Taylor & Francis, 2018
National Category
Tribology (Interacting Surfaces including Friction, Lubrication and Wear) Applied Mechanics
Research subject
Machine Elements; Experimental Mechanics
Identifiers
urn:nbn:se:ltu:diva-67205 (URN)10.1080/10402004.2017.1404175 (DOI)000438157400015 ()2-s2.0-85044094152 (Scopus ID)
Note

Validerad;2018;Nivå 2;2018-08-09 (rokbeg)

Available from: 2018-01-09 Created: 2018-01-09 Last updated: 2018-12-14Bibliographically approved
Casselgren, J., Rosendahl, S., Engström, N. & Grönlund, U. (2017). Evaluation of velocity and curvature dependence for roadgrip measured by low lateral slip. International Journal of Vehicle Systems Modelling and Testing, 12(1/2), 1-16
Open this publication in new window or tab >>Evaluation of velocity and curvature dependence for roadgrip measured by low lateral slip
2017 (English)In: International Journal of Vehicle Systems Modelling and Testing, ISSN 1745-6436, E-ISSN 1745-6444, Vol. 12, no 1/2, p. 1-16Article in journal (Refereed) Published
Abstract [en]

Roadgrip is an important parameter for vehicle testing and road maintenance. Therefore, an evaluation of the velocity and curvature effects on roadgrip measurement was performed on asphalt roads and on two ice tracks using the continuous roadgrip apparatus RT3 Curve. The aim was to find suitable driving patterns for measurements on public roads and test tracks to ensure the repeatability of roadgrip measurements. During the evaluation, it was concluded that in order to achieve a reliable roadgrip value, regardless of road conditions, the radius of curvature should not be less than 20 m. The velocity dependency of the RT3 Curve is different for the two road conditions, with the measurements on ice being much more sensitive to velocity changes than the measurements on the dry asphalt.

Place, publisher, year, edition, pages
InderScience Publishers, 2017
National Category
Vehicle Engineering Applied Mechanics Other Physics Topics
Research subject
Experimental Mechanics; Experimental physics
Identifiers
urn:nbn:se:ltu:diva-62657 (URN)10.1504/IJVSMT.2017.10008909 (DOI)2-s2.0-85034058025 (Scopus ID)
Note

Validerad;2018;Nivå 1;2018-04-18 (rokbeg)

Available from: 2017-03-24 Created: 2017-03-24 Last updated: 2018-04-19Bibliographically approved
Odelius, J., Famurewa, S. M., Forslöf, L., Casselgren, J. & Konttaniemi, H. (2017). Industrial internet applications for efficient road winter maintenance. Journal of Quality in Maintenance Engineering, 23(3), 355-367
Open this publication in new window or tab >>Industrial internet applications for efficient road winter maintenance
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2017 (English)In: Journal of Quality in Maintenance Engineering, ISSN 1355-2511, E-ISSN 1758-7832, Vol. 23, no 3, p. 355-367Article in journal (Refereed) Published
Abstract [en]

Purpose: For the expected increase in the capacity of existing transportation systems and efficient energy utilisation, smart maintenance solutions that are supported by online and integrated condition monitoring systems are required. Industrial Internet is one of the smart maintenance solutions, which enables real-time acquisition and analysis of asset condition by linking intelligent devices with different stakeholdersᅵ applications and databases. This paper presents some aspects of Industrial Internet application as required for integrating weather information and floating road condition data from vehicle mounted sensors to enhance effective and efficient winter maintenance.

Design/methodology/approach: The concept of real-time road condition assessment using in-vehicle sensors is demonstrated in a case study of a 3.5 km road section located in northern Sweden. The main floating data sources were acceleration and position sensors from a smartphone positioned on the dash board of a truck. Features extracted from the acceleration signal were two road roughness estimations. To extract targeted information and knowledge, the floating data were further processed to produce time series data of the road condition using Kalman filtering. The time series data were thereafter combined with weather data to assess the condition of the road.

Findings: In the case study, examples of visualisation and analytics to support winter maintenance planning, execution, and resource allocation were presented. Reasonable correlation was shown between estimated road roughness and annual road survey data to validate and prove the presented results wider applicability.

Originality/value: The paper describes a concept of floating data for an industrial internet application for efficient road maintenance. The resulting improvement in winter maintenance will promote dependable, safe and sustainable transportation of goods and people, especially in northern Nordic region with harsh and sometimes unpredictable weather conditions.

Place, publisher, year, edition, pages
Emerald Group Publishing Limited, 2017
National Category
Engineering and Technology Other Civil Engineering Applied Mechanics
Research subject
Operation and Maintenance; Experimental Mechanics
Identifiers
urn:nbn:se:ltu:diva-65114 (URN)10.1108/JQME-11-2016-0071 (DOI)2-s2.0-85027974857 (Scopus ID)
Note

Validerad;2017;Nivå 2;2017-08-28 (andbra)

Available from: 2017-08-15 Created: 2017-08-15 Last updated: 2018-06-25Bibliographically approved
Eppanapelli, L. K., Casselgren, J., Wåhlin, J. & Sjödahl, M. (2017). Investigation of snow single scattering properties of snow based on first order Legendre phase function. Optics and lasers in engineering, 91, 151-159
Open this publication in new window or tab >>Investigation of snow single scattering properties of snow based on first order Legendre phase function
2017 (English)In: Optics and lasers in engineering, ISSN 0143-8166, E-ISSN 1873-0302, Vol. 91, p. 151-159Article in journal (Refereed) Published
Abstract [en]

Angularly resolved bidirectional reflectance measurements were modelled by ap- proximating a first order Legendre expanded phase function to retrieve single scattering properties of snow. The measurements from 10 different snow types with known density and specific surface area (SSA) were investigated. A near infrared (NIR) spectrometer was used to measure reflected light above the snow surface over the hemisphere in the wavelength region 900 nm to 1650 nm. A solver based on discrete ordinate radiative transfer (DISORT) model was used to retrieve the estimated Legendre coefficients of the phase function and a cor- relation between the coefficients and physical properties of different snow types is investigated. Results of this study suggest that the first two coefficients of the first order Legendre phase function provide sufficient information about the physical properties of snow where the latter captures the anisotropic behaviour of snow and the former provides a relative estimate of the single scattering albedo of snow. The coefficients of the first order phase function were com- pared with the experimental data and observed that both the coefficients are in good agreement with the experimental data. These findings suggest that our approach can be applied as a qualitative tool to investigate physical properties of snow and also to classify different snow types.

Place, publisher, year, edition, pages
Elsevier, 2017
Keywords
Radiative transfer model, Scattering phase function, Snow, SSA, Reflectance spectrum, NIR spectrometer
National Category
Applied Mechanics
Research subject
Experimental Mechanics
Identifiers
urn:nbn:se:ltu:diva-60532 (URN)10.1016/j.optlaseng.2016.11.013 (DOI)000393264300016 ()2-s2.0-84998694302 (Scopus ID)
Note

Validerad; 2017; Nivå 2; 2016-12-19 (andbra)

Available from: 2016-11-18 Created: 2016-11-18 Last updated: 2018-09-13Bibliographically approved
Casselgren, J. & Bodin, U. (2017). Reusable road condition information system for traffic safety and targeted maintenance. IET Intelligent Transport Systems, 11(4), 230-238
Open this publication in new window or tab >>Reusable road condition information system for traffic safety and targeted maintenance
2017 (English)In: IET Intelligent Transport Systems, ISSN 1751-956X, E-ISSN 1751-9578, Vol. 11, no 4, p. 230-238Article in journal (Refereed) Published
Abstract [en]

Driver awareness of current winter road conditions (RCs) is known to affect the frequency of accidents due to sudden changes in these conditions. For example, partially icy roads that appear during autumn in northern areas typically result in collisions and ditch runs unless the drivers are generally aware of the situation. Availing motorists who drive under winter RCs of enhanced information is therefore highly desirable to increase their awareness of hazardous driving conditions. Such conditions need to be predicted ahead of time and presented to drivers before they attempt slippery road sections. Moreover, the identification of slippery RCs should quickly trigger targeted road maintenance to reduce the risk of accidents. This study presents a scalable and reusable collaborative intelligent transport system, herein referred to as an RC information system (RCIS). RCIS provides accurate RC predictions and forecasts based on RC measurements, road weather observations, and short-term weather forecasts. The prediction methods in the context of the distributed RCIS have been tested using a prototype implementation. These tests confirmed that these inputs could be combined into useful and accurate information about winter RCs that can be adapted for different types of users.

Place, publisher, year, edition, pages
IET-Institution of Engineering and Technology, 2017
National Category
Communication Systems Computer and Information Sciences Applied Mechanics Media and Communication Technology
Research subject
Experimental Mechanics; Pervasive Mobile Computing
Identifiers
urn:nbn:se:ltu:diva-62656 (URN)10.1049/iet-its.2016.0122 (DOI)000401300200006 ()2-s2.0-85019270646 (Scopus ID)
Projects
Intelligent Road
Funder
Interreg Nord
Note

Validerad; 2017; Nivå 2; 2017-05-16 (andbra)

Available from: 2017-03-24 Created: 2017-03-24 Last updated: 2018-11-20Bibliographically approved
Eppanapelli, L. K., Friberg, B., Casselgren, J. & Sjödahl, M. (2016). Estimation of a low-order Legendre expanded phase function of snow (ed.). Paper presented at . Optics and lasers in engineering, 78, 174-181
Open this publication in new window or tab >>Estimation of a low-order Legendre expanded phase function of snow
2016 (English)In: Optics and lasers in engineering, ISSN 0143-8166, E-ISSN 1873-0302, Vol. 78, p. 174-181Article in journal (Refereed) Published
Abstract [en]

The purpose of this paper is to estimate the scattering phase function of snow from angularly resolved measurements of light intensity in the plane of incidence. A solver is implemented that solves the scattering function for a semi-infinite geometry based on the radiative transfer equation (RTE). Two types of phase functions are considered. The first type is the general phase function based on a low-order series expansion of Legendre polynomials and the other type is the Henyey-Greenstein (HG) phase function. The measurements were performed at a wavelength of 1310 nm and six different snow samples were analysed. It was found that a first order expansion provides sufficient approximation to the measurements. The fit from the first order phase function outperforms that of the HG phase function in terms of accuracy, ease of implementation and computation time. Furthermore, a correlation between the magnitude of the first order component and the age of the snow was found. We believe that these findings may complement present non-contact detection techniques used to determine snow properties.

National Category
Applied Mechanics
Research subject
Experimental Mechanics
Identifiers
urn:nbn:se:ltu:diva-4108 (URN)10.1016/j.optlaseng.2015.10.013 (DOI)000366769100021 ()2-s2.0-84947210191 (Scopus ID)1fb86369-88ce-4293-89e3-fae4460cfe1f (Local ID)1fb86369-88ce-4293-89e3-fae4460cfe1f (Archive number)1fb86369-88ce-4293-89e3-fae4460cfe1f (OAI)
Note
Validerad; 2015; Nivå 2; 20151028 (lavepp)Available from: 2016-09-29 Created: 2016-09-29 Last updated: 2018-07-10Bibliographically approved
Casselgren, J., Rosendahl, S., Sjödahl, M. & Jonsson, P. (2016). Road condition analysis using NIR illumination and compensating for surrounding light (ed.). Paper presented at . Optics and lasers in engineering, 77, 175-182
Open this publication in new window or tab >>Road condition analysis using NIR illumination and compensating for surrounding light
2016 (English)In: Optics and lasers in engineering, ISSN 0143-8166, E-ISSN 1873-0302, Vol. 77, p. 175-182Article in journal (Refereed) Published
Abstract [en]

An investigation of a NIR camera system for road surface classification has been conducted for several road conditions. The surfaces were illuminated with three wavelengths, 980 nm, 1310 nm and 1550 nm and a halogen lamp, to simulate a real environment application with surrounding light. A measuring scheme to deal with surrounding light has been implemented enabling road condition classification from NIR images in a real environment. The retrieved camera images have been analyzed and an RGB representation of the different surfaces has been created to classify the different road conditions. The investigation shows that it is possible to distinguish between dry, moist, wet, frosty, icy and snowy road surfaces using a NIR camera system in a disturbed environment.

National Category
Applied Mechanics
Research subject
Experimental Mechanics
Identifiers
urn:nbn:se:ltu:diva-3637 (URN)10.1016/j.optlaseng.2015.08.002 (DOI)000366617300021 ()2-s2.0-84941908610 (Scopus ID)1745f2b3-0568-4b59-9515-df224fe10d60 (Local ID)1745f2b3-0568-4b59-9515-df224fe10d60 (Archive number)1745f2b3-0568-4b59-9515-df224fe10d60 (OAI)
Note
Validerad; 2015; Nivå 2; 20150916 (andbra)Available from: 2016-09-29 Created: 2016-09-29 Last updated: 2018-07-10Bibliographically approved
Autioniemi, J., Autioniemi, M., Casselgren, J., Konttaniemi, H., Sukuvaara, T. & Ylitalo, R. (2015). Intelligent Road (ed.). Paper presented at . Luleå: Luleå tekniska universitet
Open this publication in new window or tab >>Intelligent Road
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2015 (English)Report (Other academic)
Abstract [en]

Project Intelligent Road is a common effort of four main partners: Rovaniemi University of Applied Sciences (RAMK), Luleå Technical University (LTU), Finnish Meteorological Institute (FMI), Kaakkois-Suomen ELY-keskus (KaS ELY) – and representatives of business sector of the region. The overall objective of the project is to support the development of business community in Northern Scandinavian region by testing and improvement of existing innovative products concerned with road safety provision in Nordic weather conditions. The specific objective of the project is to create a demo of sustainable and marketable Intelligent Road System providing location-based short-term road weather information to the road user passing by the area. Target Groups, which are directly and positively affected by the project are businesses and above mentioned project partners. All these actors have exclusive know-how in the area and are each equally important for the implementation of the project and its success. Final beneficiaries of this project are business community of the Northern Scandinavian Region; Ministry of Transport and Communications of Finland, represented by KaS ELY and Finnish Transport Safety Agency; Swedish Ministry of Enterprise, Energy and Communications; and of course local municipalities, as Luleå Municipality, and road users.

Place, publisher, year, edition, pages
Luleå: Luleå tekniska universitet, 2015. p. 91
Series
Technical report / Luleå University of Technology, ISSN 1402-1536
National Category
Applied Mechanics
Research subject
Experimental Mechanics
Identifiers
urn:nbn:se:ltu:diva-21823 (URN)05b237a5-1519-4fb5-a737-ea59f95b198d (Local ID)9789175832746 (ISBN)05b237a5-1519-4fb5-a737-ea59f95b198d (Archive number)05b237a5-1519-4fb5-a737-ea59f95b198d (OAI)
Projects
CASTT - Centre for Automotive Systems Technologies and Testing
Note

Godkänd; 2015; 20150324 (johcas)

Available from: 2016-09-29 Created: 2016-09-29 Last updated: 2017-11-24Bibliographically approved
Lundberg, J., Rantatalo, M., Wanhainen, C. & Casselgren, J. (2015). Measurements of friction coefficients between rails lubricated with a friction modifier and the wheels of an IORE locomotive during real working conditions (ed.). Wear, 324-325, 109-117
Open this publication in new window or tab >>Measurements of friction coefficients between rails lubricated with a friction modifier and the wheels of an IORE locomotive during real working conditions
2015 (English)In: Wear, ISSN 0043-1648, E-ISSN 1873-2577, Vol. 324-325, p. 109-117Article in journal (Refereed) Published
Abstract [en]

The real friction coefficients between the rails and the wheels on a 360. t and 10,800. kW IORE locomotive were measured using the locomotive[U+05F3]s in-built traction force measurement system. The locomotive consisted of two pair-connected locomotives had a CoCo+CoCo bogie configuration, and hauled a fully loaded set of 68 ore wagons (120. t/wagon). The measurements were performed both on rails in a dry condition and on rails lubricated with a water-based top-of-rail (ToR) friction modifier on the Iron Ore Line between the cities of Kiruna and Narvik in Northern Sweden and Norway, respectively. Since full-scale measurements like these are costly, the friction coefficients were also measured at the same time and place using a conventional hand-operated tribometer, with and without the ToR friction modifier. The most important results are that the real friction coefficient is definitely not constant and is surprisingly low (0.10-0.25) when the ToR friction modifier is used, and that it is also significantly dependent on the amount of ToR friction modifier. A large amount will reduce the friction coefficient. Furthermore, it is concluded that the real friction coefficients are in general lower than the friction coefficients measured with the hand-operated tribometer. A final remark is thus that the use of a water-based ToR friction modifier can give excessively low friction, which can result in unacceptably long braking distances.

Keywords
Friction coefficient, Full-scale test, Locomotive, Sliding, Slipping, Top-of-rail friction modifier
National Category
Other Civil Engineering Geology Applied Mechanics
Research subject
Operation and Maintenance; Ore Geology; Experimental Mechanics
Identifiers
urn:nbn:se:ltu:diva-9234 (URN)10.1016/j.wear.2014.12.002 (DOI)000349800000013 ()2-s2.0-84920139990 (Scopus ID)7cccb36f-33b8-493e-ad30-c4af63e5775a (Local ID)7cccb36f-33b8-493e-ad30-c4af63e5775a (Archive number)7cccb36f-33b8-493e-ad30-c4af63e5775a (OAI)
Note

Validerad; 2015; Nivå 2; 20150113 (andbra)

Available from: 2016-09-29 Created: 2016-09-29 Last updated: 2019-08-20Bibliographically approved
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