Fakultet for ingeniørvitenskap og teknologi: Nye registreringer

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    • Tailored Iterated Greedy metaheuristic for a scheduling problem in metal 3D printing 

      Ying, Kuo-Ching; Pourhejazy, Pourya; Huang, Ya-Hsuan (Journal article; Tidsskriftartikkel; Peer reviewed, 2023-09-24)
      This article contributes to the additive manufacturing-based production planning literature by developing a Mixed-Integer Linear Programming (MILP) formulation for the Identical Parallel 3D-Printing Machines Scheduling Problem considering batching, multiple build platforms of restricted sizes, and sequence-independent setup times. Besides, a customized metaheuristic, named the Tailored Iterated ...

    • DEVELOPMENT OF METHOD AND CRITERIA FOR EVALUATION OF DRY-WASHING EFFICIENCY WITH RE-CON ZERO EVO 

      Novakova, Iveta; Norman, Sven-Henrik; Bista, Dipen (Chapter; Bokkapittel, 2022)
      Society recognises the need for the preservation of nature and the need for better resource utilisation. Integration of good practice in the building industry is mainly targeted at reducing or completely eliminating waste. One of the waste sources in the concrete industry is created in washing facilities and consists of returned concrete, washing water and cement slurry. Concrete trucks are washed ...

    • Evaluation of optimal replacement of natural aggregates by recycled concrete aggregates to achieve sufficient durability 

      Novakova, Iveta; Sjåfjell, Jørgen J.; Venkrbec, Vaclav (Preprint; Manuskript, 2022)
      The use of recycled concrete aggregate (RCA) is one way to reduce the depletion of raw materials for the production of concrete. In this article RCA was tested and evaluated. Concrete with 25 to 80 % of RCA was examined in terms of its durability performance, particularly capillary absorption and shrinkage. Capillary absorption testing showed that RCA has better or identical results as the reference ...

    • Learning Through Action: On the Use of Logistics4.0 Lab as Learning Developer 

      Peron, Mirco; Alfnes, Erlend; Sgarbossa, Fabio (Chapter; Bokkapittel, 2022-01-01)
      The concept of learning factory is taking more and more hold as teaching method, especially after the advent of Industry 4.0 (I4.0). Learning factories have in fact proved to be effective in developing knowledge and skills necessary for students to master the potentialities of adopting new I4.0 technologies in several aspects of production and logistics systems. Driven by these potentialities and ...

    • Simulation of Robotic Tasks with VALIP System - Practical Application 

      Malesevic, Nikola; Sziebig, Gábor; Solvang, Bjørn; Latinovic, Tihomir (Journal article; Tidsskriftartikkel; Peer reviewed, 2013)
      In manufacturing engineering, man-machine interaction has gone from typical online programming techniques into virtual reality based offline programming methodologies. Today, a wide range of offline software tools is used to imitate, simulate and control real manufacturing systems. However, these new methodologies lack capability when it comes to human-machine communication. This paper aims to ...

    • Generalized Chessboard Structures Whose Effective Conductivities Are Integer Valued 

      Lukkassen, Dag; Meidell, Annette (Journal article; Tidsskriftartikkel; Peer reviewed, 2012-03-06)
      We consider generalized chessboard structures where the local conductivity takes two values 𝑎 and 𝑏 . All integer combinations of 𝑎 and 𝑏 which make the components of effective conductivity matrix integer valued are found. Moreover, we discuss the problem of estimating the effective conductivity matrix by using the finite-element method.

    • Some New Iterated Hardy-Type Inequalities 

      Gogatishvili, A; Mustafayev, RC; Persson, Lars Erik (Journal article; Tidsskriftartikkel; Peer reviewed, 2012-12-10)

    • Classification of Bulk Cargo Types Stored Openly at Ports Using CNN 

      Koirala, Madhu; Ellingsen, Pål Gunnar; Ådland, Roar Os (Chapter; Bokkapittel, 2023)
      In this paper, we present a novel concept of tracking cargoes at open ports using remote sensing images and convolution neural network (CNN) to classify various dry bulk commodities. The dataset used is prepared using Sentinel-2 atmospherically corrected (Sentinel-2 L2A) images covering 12 spectral bands. There are total 4995 labeled and geo-referenced images for four different cargoes-bauxite, ...

    • Blending spline surfaces over polygon mesh and their application to isogeometric analysis 

      Kravetc, Tatiana (Journal article; Tidsskriftartikkel; Peer reviewed, 2023-09-11)
      Finite elements are allowed to be of a shape suitable for the specific problem. This choice defines thereafter the accuracy of the approximated solution. Moreover, flexible element shapes allow for the construction of an arbitrary domain topology. Polygon meshes are a common representation of the domain that cover any choice of the finite element shape. Being an alternative tool for modeling and ...

    • Windtech Technology - Measuring Cold Exposure via Conjugate Heat Transfer 

      Khawaja, Hassan (Conference object; Konferansebidrag, 2020)
      Windtech technology is based on a novel patented technique of measuring cold exposure (UK Patent Office Application Number: 1914757.8, titled: Measuring cold exposure, dated: 11th October 2019). In this technology, the cold is measured via the response of an electrical heater exposed to environmental elements such as ambient temperature, wind, humidity, and irradiance. In this technology, the heater ...

    • Computational Fluid Dynamics - A Steppingstone of MULTIPHYSICS 

      Khawaja, Hassan (Conference object; Konferansebidrag, 2021)
      The fluids have been around us for as far as we know and it enabled us to cross the oceans, ride the winds, shortens the distances, and much more. Computational Fluid Dynamics (CFD) has extended our understanding of fluids. Until today, the analytical solution of fundamental equations of fluid mechanics is a million-dollar award (referred to Clay Mathematics Institute). As engineers, let's leave ...

    • Elektrifiering av hamna 

      Hoff, Bjarte (Conference object; Konferansebidrag, 2020)

    • Ny flåte og elektrifisering – Eksempel på grøne løysingar og utviklinga i dag 

      Hoff, Bjarte (Conference object; Konferansebidrag, 2020)

    • Some New Weak (Hp- Lp)-Type Inequality for Weighted Maximal Operators of Partial Sums of Walsh–Fourier Series 

      Baramidze, David; Persson, Lars-Erik; Singh, Harpal; Tephnadze, George (Journal article; Tidsskriftartikkel; Peer reviewed, 2023-08-18)
      In this paper, we introduce some new weighted maximal operators of the partial sums of the Walsh–Fourier series. We prove that for some “optimal” weights these new operators indeed are bounded from the martingale Hardy space H<sub>p</sub>(G) to the Lebesgue space weak−L<sub>p</sub>(G), for 0<p<1. Moreover, we also prove sharpness of this result. As a consequence we obtain some new and well-known ...

    • Using Deep Learning Methods for Segmenting Polar Mesospheric Summer Echoes 

      Domben, Erik Seip; Sharma, Puneet; Mann, Ingrid (Journal article; Tidsskriftartikkel; Peer reviewed, 2023-08-31)
      Polar mesospheric summer echoes (PMSE) are radar echoes that are observed in the mesosphere during the arctic summer months in the polar regions. By studying PMSE, researchers can gain insights into physical and chemical processes that occur in the upper atmosphere—specifically, in the 80 to 90 km altitude range. In this paper, we employ fully convolutional networks such as UNET and UNET++ for ...

    • Investigating Effects of pH on Microbial Growth in Continuous Stirred Tank Bioreactors 

      Das, Subhashis; Calay, Rajnish K; Chowdhury, Ranjana (Conference object; Konferansebidrag, 2017)

    • Market Study on Inspection and Maintenance Robotics in Norway - Suppliers, Market Needs and Challenges 

      Merz, Mariann; Transeth, Aksel Andreas; Evjemo, Linn Danielsen; Kelasidi, Eleni (Research report; Forskningsrapport, 2023-09-01)
      New and more complex industrial applications of robotic systems for inspection and maintenance (I&M) purposes are enabled by the continuous improvements to the system capabilities. Key factors that fuel this development are advancements in Artificial Intelligence (AI), improvements of sensor technology, miniaturization and cost reduction of components (including motors, batteries, processors and ...

    • Path planning for UAV harvesting information from dynamical wireless sensor nodes at sea 

      Ho, Tu Dac; Grøtli, Esten Ingar; Johansen, Tor Arne (Journal article; Tidsskriftartikkel; Peer reviewed, 2022-08-16)
      A system of several wireless sensor nodes and one unmanned aerial vehicle (UAV) is considered in this research. The nodes are only floating and drifting with the sea stream. The UAV will be operating as a data mule to gather sensing information from wireless sensor nodes. Unlike prior studies, this paper addressed a realistic ocean model for the nodes movements which will be the references to the ...

    • Evaluating the cost competitiveness of metal additive manufacturing – A case study with metal material extrusion 

      Sæterbø, Mathias; Solvang, Wei Deng (Journal article; Tidsskriftartikkel; Peer reviewed, 2023-06-25)
      Metal additive manufacturing (MAM) is a rapidly advancing manufacturing process with the potential to replace or supplement existing conventional manufacturing processes. MAM is currently associated with a high investment cost and is mostly seen in centralized manufacturing configurations with low-volume and high-value products. This paper evaluates the cost competitiveness of MAM by investigating ...

    • Steady and Time Dependent Study of Laminar Separation Bubble (LSB) behavior along UAV Airfoil RG-15 

      Muhammed, Manaf; Virk, Muhammad Shakeel (Journal article; Tidsskriftartikkel; Peer reviewed, 2023-03-29)
      The flow around the Unmanned Arial Vehicle (UAV) operating at a low Reynolds number regime of the O() is predominantly laminar and it leads to the formation of Laminar Separation Bubble (LSB). The pressure, shear stress, and heat flux distribution are considerably affected by LSB, which affects lift, drag, and pitching moment values. Most existing RANS (Reynolds-Averaged Navier-Stokes) turbulence ...