Sökning: "fibre prediction"
Visar resultat 1 - 5 av 11 uppsatser innehållade orden fibre prediction.
1. Damaged starch and dietary fibre content in Swedish wheat flour : PLS-modelling to predict baking volume
Master-uppsats, SLU/Department of Molecular SciencesSammanfattning : SDmatic, SRC-CHOPIN 2 and Alveolab are used to evaluate flour, but not widely used in Sweden. This study aimed to evaluate the machines and see if they could be used to predict baking volume for bread baked on Swedish wheat flour. PLS-models were built with baking volume as the Y-variable. LÄS MER
2. Baking volume of wheat flour : assessment of novel analyses and parameters in prediction
Master-uppsats, SLU/Department of Molecular SciencesSammanfattning : In the milling industry baking volume is used as the gold standard for wheat flour quality. Determination of baking volume is a time-consuming and blunt method, demanding a quicker and more precise substitute. The aim of this thesis was to assess how different rheological and chemical parameters affect baking volume. LÄS MER
3. Development of a Near Infrared Spectroscopy Model for Prediction of Fibre Compounds in Alfalfa
Master-uppsats, Lunds universitet/Teknisk mikrobiologiSammanfattning : Background: This project investigates if it is possible to develop a calibration model from near infrared (NIR) spectroscopic measurements, for determination of the amount and type of fibre fractions within protein powder produced from the legume alfalfa, without performing wet experiments. Alfalfa is also known as Medicago sativa and lucerne, but is in this project further referred to as alfalfa. LÄS MER
4. Effect of Induction-Heat Post-Curing on Residual Stresses in Fast-Curing Carbon Fibre Reinforced Composites
Master-uppsats, Luleå tekniska universitet/Institutionen för teknikvetenskap och matematikSammanfattning : Manufacturing induced shape distortions is a common problem for composite materials. Due to the non-isotropic nature of carbon fibre reinforced polymers (CFRP) unavoidable deformations occur during part production. During fabrication of polymer composites, the material obtains its final shape at elevated temperatures. LÄS MER
5. Extraction and Quantification of Features in XCT Datasets of Fibre Reinforced Polymers using Machine Learning Techniques
Master-uppsats, Umeå universitet/Institutionen för datavetenskapSammanfattning : This master’s thesis shows the extraction, quantification and visual analysis of pores and individual fibres in fibre reinforced polymer (FRP)materials. The core methods used and advanced for this purpose are tailored deep learning techniques, which are coupled with interactive visualisation. LÄS MER