Change search
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf
Relationship between Process Monitoring Signals and Material Imperfections during Directed Energy Deposition
University West, Department of Engineering Science.
2025 (English)Independent thesis Advanced level (degree of Master (One Year)), 10 credits / 15 HE creditsStudent thesisAlternative title
Samband mellan processövervakningssignaler och materialdefekter vid deponering med riktad energi (Swedish)
Abstract [en]

Laser Wire Additive Manufacturing is a 3D printing method that enables to manufacture samples with complex geometries, while having a high flexibility due to the Direct Energy Deposition of the feedstock. This process can be used for different feedstock materials like duplex stainless steels. The aim of the study was to explain the relationship between the process monitoring signals, with the process stability features. This means finding a relationship between process parameters, such as electrical conductance and Line Energy with features like defect ratio of the manufactured parts. To obtain the results, data that was obtained from previous manufactured samples was examined, such as, process parameters, monitoring signals and video recordings from a coaxial camera. Also, the conductance signals were analysed using Fast Fourier Transform and Image Analysis, and the Line Energy was as well calculated. The results showed a direct relationship between the Line Energy, conductance signals and the defect ratio of the samples, where higher Line Energy input and stable conductance signals, lead to lower defect ratio

Place, publisher, year, edition, pages
2025. , p. 13
Keywords [en]
Conductance, Line Energy, DED, Wire, LMD
National Category
Production Engineering, Human Work Science and Ergonomics
Identifiers
URN: urn:nbn:se:hv:diva-23708Local ID: EXM710OAI: oai:DiVA.org:hv-23708DiVA, id: diva2:1980757
Subject / course
Mechanical engineering
Educational program
Masterprogram i tillverkningsteknik
Supervisors
Examiners
Available from: 2025-07-22 Created: 2025-07-02 Last updated: 2025-09-30Bibliographically approved

Open Access in DiVA

No full text in DiVA

By organisation
Department of Engineering Science
Production Engineering, Human Work Science and Ergonomics

Search outside of DiVA

GoogleGoogle Scholar

urn-nbn

Altmetric score

urn-nbn
Total: 37 hits
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf