Sökning: "Arun Kumar"
Visar resultat 1 - 5 av 6 uppsatser innehållade orden Arun Kumar.
1. Developing a supervised machine learning model for an optimised aluminium addition based on historical data analytics, for clean steelmaking
Master-uppsats, KTH/MaterialvetenskapSammanfattning : De-oxidation is an important process in clean steelmaking. Al (Aluminium) is mainly used as de-oxidant and controls the final oxygen content and impact the sulphur removal in steel. Adding optimum amount of Al is critical for steel cleanliness and to reduce cost. LÄS MER
2. Metrics for Business models related to technology shifts: A stakeholder perspective based on the ERS case
Master-uppsats, Blekinge Tekniska Högskola/Institutionen för industriell ekonomiSammanfattning : Background: By establishing the business model of a firm or a venture, it is possible to understand the rationale of the way the value is created, delivered to the customers, and how this value is consumed. Here it relies on the importance of clearly defining the different business models for all the partners involved, including the use of metrics to measure how they intend to create and deliver value to the various customers. LÄS MER
3. Electric Kick Scooter(ScookE)
Kandidat-uppsats, Blekinge Tekniska Högskola/Institutionen för maskinteknikSammanfattning : .... LÄS MER
4. Thermodynamic modelling ofmartensite start temperature in commercial steels
Master-uppsats, KTH/MaterialvetenskapSammanfattning : Firstly, an existing thermodynamic model for the predicting of martensite start temperature of commercial steels has been improved to include more elements such as N, Si, V, Mo, Nb, W, Ti, Al, Cu, Co, B, P and S and their corresponding composition ranges for Martensitic transformation. The predicting ability of the existing model is improved considerably by critical assessment of different binary and ternary systems i. LÄS MER
5. Visual and Analytical Support for Real-time Evaluation of Railway Traffic Re-scheduling Alternatives During Disturbances
Master-uppsats, Blekinge Tekniska Högskola/Sektionen för datavetenskap och kommunikationSammanfattning : Disturbances in the railway network are frequent and to some extent, inevitable. When this happens, the traffic dispatchers need to re-schedule the train traffic and there is a need for decision support in this process. LÄS MER