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Data analysis methods for process understanding and improvement in injection moulding production
Frumosu, Flavia Dalia
(PhD Student)
Külahci, Murat
(Main Supervisor)
Aanæs, Henrik
(Supervisor)
Tosello, Guido
(Supervisor)
Clemmensen, Line Katrine Harder
(Examiner)
Thyregod, Peter
(Examiner)
Riquelme, Alberto José Ferrer
(Examiner)
Statistics and Data Analysis
Department of Applied Mathematics and Computer Science
Visual Computing
Department of Civil and Mechanical Engineering
Overview
Fingerprint
Research output
(1)
Project Details
Status
Finished
Effective start/end date
01/10/2016
→
15/01/2020
Funding
Forskningsrådsfinansiering
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Fingerprint
Explore the research topics touched on by this project. These labels are generated based on the underlying awards/grants. Together they form a unique fingerprint.
Product Quality
Engineering
100%
Injection Moulding
Engineering
100%
Quality Measure
Engineering
50%
Faulty Products
Keyphrases
50%
Product Quality Prediction
Keyphrases
50%
Plastic Product
Engineering
33%
Product Manufacturing
Engineering
33%
Injection Moulding Process
Engineering
33%
Research output
Research output per year
2019
2019
2019
1
Ph.D. thesis
Research output per year
Research output per year
Data analysis methods for process understanding and improvement in injection moulding production
Frumosu, F. D.,
2019
, Kgs. Lyngby:
Technical University of Denmark
.
170 p.
Research output
:
Book/Report
›
Ph.D. thesis
Open Access
File
Injection Moulding
100%
Product Quality
100%
Injection Molding
100%
Quality Measure
50%
Product Quality Prediction
50%
585
Downloads (Pure)