Sökning: "defect-detection"

Visar resultat 1 - 5 av 10 avhandlingar innehållade ordet defect-detection.

1. 1. In-situ monitoring of laser powder bed fusion applied to defect detection

   Författare :Claudia de Andrade Schwerz; Chalmers tekniska högskola; []
   Nyckelord :TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; NATURVETENSKAP; NATURAL SCIENCES; defect detection; productivity; nickel-based superalloy; process monitoring; pores; powder bed fusion; spatter; defect mitigation; mechanical properties; lack of fusion; melt pool; Additive manufacturing;

   Sammanfattning : Additive manufacturing technologies, particularly laser powder bed fusion (LPBF), have received much attention recently due to their numerous advantages over conventional manufacturing methods. However, the use of LPBF is still quite restricted, mainly due to two factors: its typically low productivity, which makes the technology less competitive in applications with moderate to high production volumes, and its limited reliability, particularly relevant for applications where high performance is required from the materials. LÄS MER

3. 2. Ultrasonic NDT in Defect Detection - Mathematical modelling

   Författare :Håkan Wirdelius; Chalmers tekniska högskola; []
   Nyckelord :TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; crack; null field approach; transducers; optimisation; ultrasonics; elastic waves; nondestructive testing; T matrix method; inverse problem;

   Sammanfattning : This thesis is concerned with the mathematical modelling of the ultrasonic nondestructive testing situation. The first part of the thesis treats a simplified model of an ultrasonic transducer and its implementation into a T-matrix method-based solution to a crack scattering problem. LÄS MER

4. 3. An Algorithmic Framework for Intelligent Concrete Structural Defects Detection and Classification

   Författare :Ali Mirzazade; Björn Täljsten; Cosmin Popescu; Thomas Blanksvärd; Diogo Rodrigo Ferreira Ribeiro; Luleå tekniska universitet; []
   Nyckelord :TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; Civil Engineering Structures; defect detection; Structural Health Assessment; Bridge Inspection; Computer Vision; Point-Cloud Generation; Severity Assessment; Machine Learning Regression; Bridge 3D Modeling; Unmanned Inspections; Byggkonstruktion; Structural Engineering;

   Sammanfattning : The primary objective of inspecting concrete civil structures is to gather information concerning the deterioration of concrete elements, including issues like concrete cover cracking, delamination, or corrosion. Typically, this data is documented through field inspection notes, hand-drawn sketches, and photographs. LÄS MER

5. 4. Facilitating the Adoption of AI-driven Zero Defect Manufacturing in Production Systems

   Författare :Nicolas Leberruyer; Jessica Bruch; Mats Ahlskog; Sara Afshar; Mats Deleryd; Mälardalens universitet; []
   Nyckelord :TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; Industrial Systems; industriella system;

   Sammanfattning : The increasing focus on sustainability is pushing companies to update their production systems. These systems need to facilitate the production of products with the latest sustainable technologies and innovations, while also producing these new products with lower environmental impact. LÄS MER

7. 5. Curbing Dependencies in Software Evolution of Object-Oriented Systems

   Författare :Mats Skoglund; Louise Yngström; Per Runeson; Lionel C. Briand; Stockholms universitet; []
   Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; Software Evolution; Object-orientation; Software Quality; Software engineering; Programvaruteknik;

   Sammanfattning : Relationships between classes and objects in object-oriented software are necessary in order for the parts of the systems to provide dynamic behavior. These inherent relationships also create dependencies which can give rise to problems for software evolution of object-oriented software systems. LÄS MER