In-process monitoring in laser cladding
2023 (English)Independent thesis Advanced level (degree of Master (Two Years)), 20 credits / 30 HE credits
Student thesis
Abstract [en]
Laser cladding, also known as Direct Metal Deposition (DMD) and Laser Metal Deposition (LMD), represents an advanced additive manufacturing technique. In this process, layers are deposited onto a substrate using a laser beam as the primary heat source. Previously, the necessity for engineers to work physically within the cladding cell exposed them to hazards like laser radiation and powder inhalation. Therefore, the implementation of a monitoring system is imperative for safety reasons.The applications of laser cladding encompass coating, part repair, rapid prototyping, and tooling. This thesis project is conducted in collaboration with SKF Group, a prominent Swedish multinational specializing in bearings, seals, lubrication systems, and related components.The central objective of this study is to develop an image-based monitoring system tailored for laser cladding in industrial settings. Upon successfully establishing the system, the research endeavors to identify appropriate methods for analyzing spatter, melt pool contours, and layer thickness, followed by the interpretation of the gathered data.To summarize, the study has successfully implemented a monitoring system consisting of coaxial and side cameras, both equipped with LED illumination. The effects of varying illumination such as illumination angle, types of light source and ways of driving the system have been examined through experiments conducted under different setups, and the insights gained have been utilized to refine the system. Furthermore, the study analyzed spatter characteristics, melt pool behavior, and layer thickness.
Place, publisher, year, edition, pages
2023. , p. 41
Keywords [en]
Laser cladding, Laser metal deposition, Process monitoring, Active illumination, Camera system, Image processing
National Category
Production Engineering, Human Work Science and Ergonomics
Identifiers
URN: urn:nbn:se:hv:diva-20670Local ID: EXM903OAI: oai:DiVA.org:hv-20670DiVA, id: diva2:1794235
Subject / course
Mechanical engineering
Educational program
Masterprogram i tillverkningsteknik
Supervisors
Examiners
2023-09-112023-09-052023-09-11Bibliographically approved