English
norskFakultet for ingeniørvitenskap og teknologi
Bla i:
Underenheter
Enhetens samlinger
Nye registreringer
-
Multimodal analysis of saddle micro-terrain prone to wind disasters on overhead transmission lines
(Journal article; Tidsskriftartikkel; Peer reviewed, 2024-01-13)Pervasive micro-terrain is a significant contributor to wind disasters on transmission lines. This study explores the effect of saddle micro-terrain on the wind field of transmission lines and proposes relevant models and analysis methods. Firstly, the characteristic elements and parameters of saddle micro-terrain are extracted using DEM and established representative cross-sections for classification. ... -
Atmospheric icing meteorological parameter study using field experiments and simulation
(Journal article; Tidsskriftartikkel; Peer reviewed, 2024-11-12)Atmospheric icing on ground structures is a concern from design, operation, and safety perspectives. Supercooled water droplets size and liquid water content (LWC) are important weather parameters to better understand the ice accretion physics on ground structures. Most existing studies are based on measurements at high altitude. The study is based on the field results of a specific event (from ... -
A Decision Support Framework for Metal Additive Manufacturing Adoption in Small and Medium-Sized Enterprises
(Doctoral thesis; Doktorgradsavhandling, 2024-12-03)Today's manufacturing landscape is undergoing constant changes, particularly through the widespread integration of advanced digital technologies. Among these, Metal Additive Manufacturing (MAM) stands out, signaling a new era of flexibility and customization capabilities that promise to significantly enhance business competitiveness, sustainability, and cost efficiency. However, the outcomes of MAM ... -
Exploring Heat Transfer in Freezing Supercooled Water Droplet through High-Speed Infrared Thermography
(Journal article; Tidsskriftartikkel; Peer reviewed, 2024-11-07)This study explores the intricate heat transfer dynamics and thermographic patterns during the phase change from supercooled liquid water to ice. Using high-resolution, high-speed infrared thermography, real-time temperature data were captured during the freezing process. The resulting temperature profiles reveal critical insights into the freezing dynamics, particularly highlighting the rapid ... -
A Network-based Set Covering Model for Charging Station Location Problem: A Case Study in Norway
(Journal article; Tidsskriftartikkel; Peer reviewed, 2024-02-25)Due to the worldwide concern about excessive greenhouse emissions and global warming, vehicles with cleaner sources of energy, e.g., electricity, hydrogen, etc., have been increasingly introduced into the market. Apart from the regulations and government incentives, the distance convenience and accessibility to charging stations have become one of the most important success factors to promote the ... -
The Application of Simulation in Facility Layout Design of an Industry 4.0 Factory
(Journal article; Tidsskriftartikkel; Peer reviewed, 2024-01-25)Facility layout planning (FLP) is one of the most discussed industrial topics that affects the performance of a manufacturing system. Conventional approaches have extensively focused on quantitative analyses with a primary focus on cost minimization. The recent technological development in computer-based simulation has provided powerful tools to better visualize and test different layouts in an ... -
Investigation into Using CFD for Estimation of Ship Specific Parameters for the SPICE Model for Prediction of Sea Spray Icing: Part 1—The Proposal
(Journal article; Tidsskriftartikkel; Peer reviewed, 2024-10-18)A machine learning model for prediction of icing on vessels and offshore structures, Spice, was recently developed by Deshpande 2023. Some variables required for the prediction of icing rates in most prediction models, including Spice, such as the spray flux, cannot be easily measured. Existing models estimate these using empirical formulations that have been heavily criticized. Most existing models ... -
An Investigation into Using CFD for the Estimation of Ship Specific Parameters for the SPICE Model for the Prediction of Sea Spray Icing: Part 2—The Verification of SPICE2 with a Full-Scale Test
(Journal article; Tidsskriftartikkel; Peer reviewed, 2024-10-18)A hybrid CFD–ML model for the prediction of sea spray icing, SPICE2, was developed in Part 1 of this study in Deshpande et al., 2024. The SPICE2 model is an extension of the ML model, SPICE, where some of the variables required for icing rate predictions: local wind speed, spray duration, spray period, and spray flux, are computed from CFD simulations. These, along with the air and water ... -
An alternative two-phase formulation and analytical solution for a Stefan problem in one-dimension accounting for volume change and sensible heat
(Journal article; Tidsskriftartikkel; Peer reviewed, 2024-05-09)Stefan problems, or free boundary problems, in the phase change process occur in many engineering problems. This paper develops a compact formula for a two-phase melting process in a one-dimensional semi-infinite slab with a novel approach. Unlike the classic Stefan problem, the novel approach considers volume change (or density difference) and the net-sensible-heat of the two phases. Furthermore, ... -
Metal additive manufacturing adoption in SMEs: Technical attributes, challenges, and opportunities
(Journal article; Tidsskriftartikkel; Peer reviewed, 2024-08-26)Recent advancements in Metal Additive Manufacturing (MAM) are transforming manufacturing. Most research and market adoption of MAM have focused on Powder Bed Fusion (PBF), with less attention given to Directed Energy Deposition (DED), Binder Jetting (BJ), and Metal Material Extrusion (MEX), which are only now reaching industrial readiness. This increased availability of MAM processes provides SMEs ... -
Expanding the horizons of metal additive manufacturing: A comprehensive multi-objective optimization model incorporating sustainability for SMEs
(Journal article; Tidsskriftartikkel; Peer reviewed, 2024-09-11)Metal Additive Manufacturing (MAM) has seen significant growth in recent years, with sub-processes like Metal Material Extrusion (MEX) reaching industrial readiness. MEX, known for its cost-effectiveness and ease of integration, targets a distinct market segment compared to established high-end MAM processes. However, despite technological improvements, its overall integration into the industry as ... -
Investigating Ice Nucleation and Heat Transfer Dynamics in Supercooled Liquid Water Using Thermography
(Chapter; Bokkapittel, 2024-06)This study delves into the intricate interplay of thermography, ice nucleation, and heat transfer during the phase change from supercooled liquid water to crystallized ice. Utilizing high-resolution, high-speed infrared thermography, real-time temperature data is captured during ice nucleation events. By analysing these temperature profiles, valuable information about the dynamics of ice nucleation ... -
Optimizing Gridded Heater Arrangements in Anti-/De-icing Systems through Multiphysics Thermal Simulation
(Chapter; Bokkapittel, 2024-06)The electro-thermal system in anti-/de-icing systems, known for its reliability, is often favoured despite its notable drawback—high power consumption. Seeking to mitigate this issue, the adoption of a gridded heated surface emerges as a promising avenue for energy optimization. In this study, a finite difference method is employed to meticulously examine heat transfer across a selected surface with ... -
Assessment of aircraft anti-icing ethylene glycolbased fluid ethylene glycol-based performance using thermography approach
(Chapter; Bokkapittel, 2024-06)Protecting the aircraft surfaces from ground icing in cold weather conditions before takeoff via anti-icing fluids is crucial for flight safety. These fluids offer a specific protection time evaluated through outdoor endurance time testing. As outdoor conditions are difficult to standardize and repeat, there is interest in developing interior tests under simulated snow conditions. This study ... -
Experimental study of superhydrophobic coating effects on dynamic ice accretion ice accretion process along S-1223 airfoil
(Chapter; Bokkapittel, 2024-06)Ice accretion on can be considered as a major threat for the operation of UAVs in the ice prone region, leading to loss of control and catastrophic failures. Active ice mitigation techniques are not suitable for UAV’s due to availability of limited power. Superhydrophobic coatings can be considered as a promising passive ice mitigation technique for UAVs featuring exceptional capability to repel ... -
Development of Anti-/De-Icing System based on Active Thermography
(Chapter; Bokkapittel, 2024-06)Ice accretion remains a pervasive challenge for infrastructure in cold climates, posing threats to both human safety and machine operability. Addressing this issue, our work introduces an innovative, automated ice detection/mitigation system leveraging active infrared thermography. This technology enables the detection of ice on low-temperature surfaces exhibiting thermal contrast. The system ... -
Voltage Control In Smart Distribution Network With Limited Reactive Power Capacity Of Smart Inverter Using Machine Learning
(Master thesis; Mastergradsoppgave, 2023-05-20)It is very important for consumers to have the operating voltages within the specified limit. Sometimes, this is not possible to provide by the grid operators although grid operators invest heavily in voltage regulating devices. With the integration of variable renewable energy systems in the grid, it has become more challenging for the grid companies to regulate them to provide stable voltages and ... -
Reinforcement Learning-based Alpha-list Iterated Greedy for Production Scheduling
(Journal article; Tidsskriftartikkel; Peer reviewed, 2024-10-11)Metaheuristics can benefit from analyzing patterns and regularities in data to perform more effective searches in the solution space. In line with the emerging trend in the optimization literature, this study introduces the Reinforcement-learning-based Alpha-List Iterated Greedy (RAIG) algorithm to contribute to the advances in machine learning-based optimization, notably for solving combinatorial ... -
Can an Industry-Led Infrastructure Development Strategy Facilitate Electric Truck Adoption?
(Journal article; Tidsskriftartikkel; Peer reviewed, 2024-08-12)Reverse logistics plays a critical role in sustainable development and circular economy by transforming waste into value. However, transporting large volumes of waste and recyclables generates significant carbon emissions. This paper explores an industry-led strategy for charging infrastructure development, which integrates the reverse logistics network designs with a network of charging stations ... -
A hypothetical approach toward laser-induced high-density polyethylene pyrolysis
(Journal article; Tidsskriftartikkel; Peer reviewed, 2024-08-02)Laser-induced breakdown spectroscopy (LIBS) is a commonly employed technique in commercial plastic recycling for purposes including classification, sorting, identification, and elemental analysis. However, understanding the molecular-level kinetics, thermodynamic interactions, bonding cleavage, and process parameter impacts is crucial for identifying necessary modifications to enhance plastic ...
RSS 1.0