Sökning: "manufacturing defects"
Visar resultat 1 - 5 av 139 uppsatser innehållade orden manufacturing defects.
1. Process parameter optimisation for Waspaloy using Laser-Directed Energy Deposition with Powder
Kandidat-uppsats, Högskolan Väst/Institutionen för ingenjörsvetenskapSammanfattning : Material utilisation is of importance in the manufacturing industry formaking the most of each material, minimising waste and increasing cost-effectiveness. In this thesis, samples of Waspaloy built with the method of L-DED-P has been analysed in order to investigate how process pa-rameters influence the build quality and geometrical accuracy in as-builtobjects. LÄS MER
2. Few-Shot Learning for Quality Inspection
Uppsats för yrkesexamina på avancerad nivå, Högskolan i Halmstad/Akademin för informationsteknologiSammanfattning : The goal of this project is to find a suitable Few-Shot Learning (FSL) model that can be used in a fault detection system for use in an industrial setting. A dataset of Printed Circuit Board (PCB) images has been created to train different FSL models. LÄS MER
3. Justerbar hållare för ultraljudssensor : För oförstörande kvalitetssäkring av svetsfogar
Uppsats för yrkesexamina på grundnivå, Uppsala universitet/Industriell teknikSammanfattning : In the manufacturing industry, product quality assurance is important to ensure customer safety and product quality. The thesis is based on problems identified with calibration of ultrasonic sensors used in quality assurance of rear shafts for trucks and buses. LÄS MER
4. Kartläggning och effektivisering av administrativa processer : En fallstudie på ett tillverkande företag
Kandidat-uppsats, Jönköping University/JTH, Logistik och verksamhetsledningSammanfattning : Purpose – The purpose of this study is to examine how Lean can be applied to create moreefficient administrative processes. Based on this purpose, two research questions have been formulated. 1. Which types of wastes can be identified using Lean in administrative processes?2. LÄS MER
5. Industrial 3D Anomaly Detection and Localization Using Unsupervised Machine Learning
Master-uppsats, Linköpings universitet/DatorseendeSammanfattning : Detecting defects in industrially manufactured products is crucial to ensure their safety and quality. This process can be both expensive and error-prone if done manually, making automated solutions desirable. LÄS MER