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  • 1.
    Andersson, Mattias
    et al.
    University of Borås, Faculty of Textiles, Engineering and Business.
    Sjövall, Anna
    University of Borås, Faculty of Textiles, Engineering and Business.
    Konceptgenerering av adaptiv kraftbegränsare2017Independent thesis Basic level (professional degree), 10 credits / 15 HE creditsStudent thesis
    Abstract [en]

    In an accident, some seatbelt is let out by the seatbelt retractor in the vehicle. This is done to minimize the chest pressure and for the occupant to correctly impact the air bag. In an adaptive load limiter (LLA) the force in the seatbelt could be changed between different levels. In this way the chest pressure and the speed in to the air bag can be optimized and to minimize injuries.The work has been aimed at develop new concept of switching between the high and low force. The goal is to reduce the number of parts, the complexity and the size of the components. The LLA device today is made out of nine components.This work has included brainstorming for ideas of new concepts. The concept have been sketched. The three best concepts have been valued in a concept evaluation matrix. CAD- models have been done. Calculations have been done by hand to see which forces the components will be subjected to. FEM-calculations have also been done to see that components can handle the amount of stress they which they will be subjected to during the switching. Tests of components have also been made to verify the concept on Autolivs test center. The results were then evaluated. The work is ended by recommendations of further development.This thesis has been done on Autoliv Sweden AB in Vårgårda. Autoliv was founded in 1953 in Vårgårda of the two brothers Lennart and Stig Lindblad. Autoliv is world- leading in car safety. Autoliv is currently operating in 27 countries and has over 70 000 employees. They save over 30 000 lives and prevent over 300 000 injuries every year. Autoliv has made seatbelts since 1956.

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  • 2.
    Berggren, Anton
    et al.
    University of Borås, Faculty of Textiles, Engineering and Business.
    Grahn, Tobias
    University of Borås, Faculty of Textiles, Engineering and Business.
    Undersökning av tätningsmetoder med fokus på aluminiumhus2017Independent thesis Basic level (professional degree), 10 credits / 15 HE creditsStudent thesis
    Abstract [en]

    In this work sealing methods for aluminum housing have been investigated. The work was delimited to the automotive industry and static gaskets. The thesis brings up how the flange impacts on the sealing capability and the gasket, sealing types, the surface impact on gasket materials, porosity, relative material cost and fasteners.The work is based on a literature study and interviews with concerned people at the company. Practical samples were carried out on a number of materials from suppliers and the materials where exposed to different chemicals and then tensile tested.The materials that were collected through interviews and the literature study testify that many parameters influence the possible sealing methods. It’s not just the material itself that needs to be taken into account. Factors like flange design, material cost, surface defects, fasteners and porosity have a great impact. The practical sample testifies that different chemicals have dif-ferent impact on the mechanical properties and swelling of the material.Finally, a couple of sealing materials are suggested that are suitable for the company to use in their products.

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  • 3.
    Ceric, Dino
    et al.
    University of Borås, Faculty of Textiles, Engineering and Business.
    Esfahani, Ali
    University of Borås, Faculty of Textiles, Engineering and Business.
    Optimering av produktflöde utifrån tillverkningstid och genomloppstid2017Independent thesis Basic level (professional degree), 10 credits / 15 HE creditsStudent thesis
    Abstract [en]

    This paper discusses how a product flow can be optimized considering the manufacturing and cycle times. The investigation shows how a product flow consisting of different workstations can be optimized. The aim of the investigation is to illustrate a common problem in the manufacturing industry, and has resulted in reduced cycle and manufacturing times. The original cycle times were 4 days 158 minutes for the first product and 4 days 162 minutes for the second product. After optimization, the cycle time for the first product was 4 days and 80 minutes and the cycle time for the second 4 days and 107 minutes. This shows an improvement of 78 minutes for the first product and 55 minutes for the second. The original manufacturing times were measured as 101 minutes for the first product and 135 minutes for the second product. The manufacturing times after optimization were 78 minutes for the first product and 106 minutes for the second, which shows an improvement of 23 minutes and 29 minutes respectively. In conclusion, the results in this paper are generic and can be applied by other manufacturing companies.

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  • 4.
    Gantasala, Sudhakar
    et al.
    Luleå tekniska universitet, Produkt- och produktionsutveckling.
    Luneno, Jean-Claude
    University of Borås, Faculty of Textiles, Engineering and Business. Luleå tekniska universitet, Produkt- och produktionsutveckling.
    Aidanpää, Jan-Olov
    Luleå tekniska universitet, Produkt- och produktionsutveckling.
    Investigating How an Artificial Neural Network Model Can Be Used to Detect Added Mass on a Non-Rotating Beam Using Its Natural Frequencies: A Possible Application for Wind Turbine Blade Ice Detection2017In: Energies, E-ISSN 1996-1073, Vol. 10, no 2, article id 184Article in journal (Refereed)
    Abstract [en]

    Structures vibrate with their natural frequencies when disturbed from their equilibrium position. These frequencies reduce when an additional mass accumulates on their structures, like ice accumulation on wind turbines installed in cold climate sites. The added mass has two features: the location and quantity of mass. Natural frequencies of the structure reduce differently depending on these two features of the added mass. In this work, a technique based on an artificial neural network (ANN) model is proposed to identify added mass by training the neural network with a dataset of natural frequencies of the structure calculated using different quantities of the added mass at different locations on the structure. The proposed method is demonstrated on a non-rotating beam model fixed at one end. The length of the beam is divided into three zones in which different added masses are considered, and its natural frequencies are calculated using a finite element model of the beam. ANN is trained with this dataset of natural frequencies of the beam as an input and corresponding added masses used in the calculations as an output. ANN approximates the non-linear relationship between these inputs and outputs. An experimental setup of the cantilever beam is fabricated, and experimental modal analysis is carried out considering a few added masses on the beam. The frequencies estimated in the experiments are given as an input to the trained ANN model, and the identified masses are compared against the actual masses used in the experiments. These masses are identified with an error that varies with the location and the quantity of added mass. The reason for these errors can be attributed to the unaccounted stiffness variation in the beam model due to the added mass while generating the dataset for training the neural network. Therefore, the added masses are roughly estimated. At the end of the paper, an application of the current technique for detecting ice mass on a wind turbine blade is studied. A neural network model is designed and trained with a dataset of natural frequencies calculated using the finite element model of the blade considering different ice masses. The trained network model is tested to identify ice masses in four test cases that considers random mass distributions along the blade. The neural network model is able to roughly estimate ice masses, and the error reduces with increasing ice mass on the blade.

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  • 5.
    Kumar Ramamoorthy, Sunil
    et al.
    University of Borås, Faculty of Textiles, Engineering and Business.
    Åkesson, Dan
    University of Borås, Faculty of Textiles, Engineering and Business.
    Skrifvars, Mikael
    University of Borås, Faculty of Textiles, Engineering and Business.
    Rajan, Rathish
    Tampere University.
    Periyasamy, Aravin Prince
    Technical University of Liberec.
    Mechanical performance of biofibers and their corresponding composites2019In: Mechanical and Physical Testing of Biocomposites, Fibre-Reinforced Composites and Hybrid Composites / [ed] Mohammad Jawaid, Mohamed Thariq, Naheed Saba, Woodhead Publishing Limited, 2019Chapter in book (Refereed)
    Abstract [en]

    This chapter focuses on mechanical performance of biofibers such as flax, hemp, and sisal and their effect on mechanical performance when they are reinforced in thermoset and thermoplastic polymers. The aim of this chapter is to present an overview of the mechanical characterization of the biofibers and their corresponding composites. The mechanical characterization includes tensile, flexural, impact, compressive, shear, toughness, hardness, brittleness, ductility, creep, fatigue, and dynamic mechanical analyses. Detailed studies of each test have been widely reported and an overview is important to relate the studies. Studies pertaining to the topics are cited. The most common materials used in biocomposites are biofibers (also called natural fibers) and petroleum-based polymers such polypropylene. The use of renewable materials in biocomposites has increased in the past couple of decades owing to extensive research on cellulosic fibers and biopolymers based on starch or vegetable oil. Today, research is focused on reinforcing natural fibers in petroleum-based polymers. However, the emphasis is shifting toward the amount of renewable materials in biocomposites, which has led to the use of biopolymers instead of petroleum-based polymers in composites. The mechanical properties of some renewable resource-based composites are comparable to commercially available nonrenewable composites.

    Several plant biofibers have been reinforced in thermoplastics or thermosets to manufacture biocomposites because of their specific properties. The Young's modulus of commonly used biofibers such as hemp and flax could be over 50 GPa and therefore they could be good alternatives to glass fibers in several applications. The good mechanical properties of these biofibers influence the composites' mechanical performance when reinforced in polymers. It is important to understand the mechanical performance of these biofibers and biocomposites in a working environment. A detailed discussion about the mechanical performance of commonly used biofibers and composites is provided in this chapter.

  • 6.
    Rauhala, A S
    et al.
    Åbo Akademi University, Turku, Finland; Vaasa Central Hospital, Finland.
    Fagerström, L M
    Åbo Akademi University, Turku, Finland; University South-Eastern Norway, Norway.
    Lindholst, A C
    Aalborg University, Aalborg East, Denmark.
    Sinervo, T S
    Finnish Institute for Health and Welfare, Finland.
    Bertelsen, T M
    Aalborg University, Aalborg East, Denmark.
    Bliksvaer, T
    Nordland Research Institute, Bodo, Norway.
    Lunde, B V
    Nord University, Bodø, Norway.
    Solli, Rolf
    University of Borås, Faculty of Textiles, Engineering and Business.
    Wolmesjö, Maria
    University of Borås, Faculty of Caring Science, Work Life and Social Welfare.
    Hansen, M B
    Aalborg University, Aalborg East, Denmark.
    Which factors are associated with COVID-19 infection incidence in care services for older people in Nordic countries?: A cross-sectional survey2022In: Scandinavian Journal of Public Health, ISSN 1403-4948, E-ISSN 1651-1905Article in journal (Refereed)
    Abstract [en]

    Aims: To investigate the differences between Sweden, Denmark, Finland and Norway regarding residential/home care units' and frontline managers' background factors, the resources allocated and measures taken during the initial phases of the COVID-19 pandemic, and whether and how these differences were associated with COVID-19 among older people in residential/home units.

    Methods: Register- and survey-based data. Responses from managers in municipal and private residential/home units. Number of municipal COVID-19 cases from national registries. Multilevel logistic multivariate regression analysis with presence of COVID-19 among older people in residential/home units as the outcome variable.

    Results: The proportions of residential/home units with client COVID-19 cases, mid-March-April 2020 were Denmark 22.7%, Finland 9.0%, Norway 9.7% and Sweden 38.8%, most cases found in clusters. The proportions were similar among employees. Client likelihood of having COVID-19 was six-fold higher if the employees had COVID-19. Mean client cases per residential/home unit were Denmark 0.78, Finland 0.46, Norway 0.22 and Sweden 1.23. For the same municipal infection incidence class, Sweden's mean client infection levels were three-fold those of other countries. The regression analysis variables country, municipal COVID-19 incidence proportion, and care type were associated with client cases at p <= .001. Compared with Denmark, the odds ratios (ORs) for Sweden, Norway and Finland were 1.86, 0.41 and 0.35 respectively. The variable difficulties in preventive testing had an OR of 1.56, p <= .05.

    Conclusions: Municipal COVID-19 incidence, employee cases, and the lack of testing resources somewhat explained the confirmed COVID-19 cases among older people in residential/home units. A two- to five-fold unexplained inter-country difference in ORs in the multivariate analyses was notable. The level of protection of vulnerable older clients in municipal and private residential/home units differed between the included countries.

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1 - 6 of 6
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