Essays about: "CELL MANUFACTURING"
Showing result 21 - 25 of 127 essays containing the words CELL MANUFACTURING.
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21. A Feasibility Study of Automated Quality Control and Component Handling in a Plastic Flange Deformation Process
University essay from Blekinge Tekniska Högskola/Institutionen för maskinteknikAbstract : Due to the global energy crisis there is a vast increase in demand for heat exchangers that reduces the energy consumption during energy transfer between mediums. The current manufacturing process for brazed heat exchangers at the world leading man-ufacturer, Alfa Laval, involves a partial assembly process called Plastic Flange Defor-mation (PFD). READ MORE
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22. Virtual commissioning of an industrial production cell
University essay from Högskolan i Skövde/Institutionen för ingenjörsvetenskapAbstract : Nowadays, in the manufacturing industry, it is essential to test new ideas before implementing them. In this way they avoid making unnecessary expenses and losing time. This is why virtual commissioning is being implemented in many places. READ MORE
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23. A method development and complete validation of coin half-cell test procedure
University essay from KTH/KemiteknikAbstract : ”Coin cell”-tillverkningen täcker hela processen från NMC-pulver till faktisk cell- och prestandautvärdering genom att cykla celler. Nydanande utveckling av elektrodmaterialen är nyckeln till att öka energitätheten hos litium-jon/metall-batterier för elfordon och nätlagring. READ MORE
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24. Reducing changeover time in a non-standardized production
University essay from KTH/Hållbar produktionsutveckling (ML)Abstract : Detta arbete skrevs i syfte att utforska möjligheterna att reducera ställtider i en icke-standardiserad produktion. För att utforska möjligheterna att reducera ställtider i en icke-standardiserad produktion, utfördes detta arbete i samarbete med Northvolt Labs i Västerås. READ MORE
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25. Cell Growth Predictions with Machine Learning
University essay from KTH/Skolan för kemi, bioteknologi och hälsa (CBH)Abstract : This thesis analyzes data on E. coli cell growth in a bioreactor to investigate the possibility of finding predictable correlations between the environmental parameters (sensor data) and the growth using machine learning. READ MORE