Assessment of additively manufactured end-use components - Current state and incremental improvements in design, materials, and decision making

Loading...
Thumbnail Image
Journal Title
Journal ISSN
Volume Title
School of Engineering | Doctoral thesis (article-based) | Defence date: 2020-03-20
Date
2020
Major/Subject
Mcode
Degree programme
Language
en
Pages
68 + app. 68
Series
Aalto University publication series DOCTORAL DISSERTATIONS, 20/2020
Abstract
Increasingly integrated into various fields of industries as rapid prototyping, rapid tooling and rapid manufacturing applications, since first commercialized in 1987, are layer-wise additive manufacturing (AM) techniques. Among those, end-use AM applications are particularly challenged, however, by economic and technological obstacles including slow production speeds, high material cost, insufficient part quality repeatability and (bio)material unavailability. This thesis aims at both exploring the economic and technological current state of AM end-use components, and providing incremental development steps in design, material, and decision-making.To assess the current state of end-use AM, a computer-driven decision support system (DSS) for rapid economic assessments of uploaded components supported by a case study is developed and an industry-related survey is conducted to match the demands for AM with the existing capabilities of AM. The current situation can be further improved by introducing new incremental developments concerning experimental material development, AM process-configurations, (re)design, and component classifica-tion based on case studies. These enhancements aim at developing new biocomposite materials for AM, implementing the axiomatic design meth-odology to design for AM (DfAM), and classifying end-use AM components according to the level of DfAM. The final version of the DSS provides rapid online quotations of uploaded digitized components to obtain insights into costs and production times for varying machine, material, and distribution scenarios (conventional manufacturing versus AM, make-or-buy decisions). In this context, the tool was used to demonstrate the trade-off between feature-resolution and production speed on cost, which constitutes the importance of production speeds as a cost-driver in AM part production. However, further increases alone have no significant cost-saving potential for the already existing high-end metal powder bed fusion machines considering high production throughput scenarios. Thus, expenses on materials need lowering to increase cost efficiency. The underlying technological state of end-use AM components involved comparing size-, material-, and surface roughness demands with best-in-class and locally installed AM system capabilities. The incremental developments imply that traditional design methodologies are applicable for AM and can potentially assist designers in DfAM. Components designed for the use of AM techniques can be logically classified according to their level of DfAM exploitation. Furthermore, the newly developed biocomposite material and its inherent process variations lead to new opportunities in environmental sustainability and design freedom, opening up new possibilities for AM part production.
Description
The public defense on 20th March 2020 at 12:00 is available only via remote technology. Link: https://aalto.zoom.us/j/236076153 Zoom Quick Guide: https://www.aalto.fi/en/services/zoom-quick-guide
Supervising professor
Partanen, Jouni, Prof., Aalto University, Department of Mechanical Engineering, Finland
Thesis advisor
Salmi, Mika, Dr., Aalto University, Department of Mechanical Engineering, Finland
Keywords
additive manufacturing, digital workflow, part assessment, material testing
Other note
Parts
  • [Publication 1]: Kretzschmar, Niklas; Flores Ituarte, Inigo; Jouni, Partanen. A decision support system for the validation of metal powder bed-based additive manufacturing applications. International Journal of Advanced Manufacturing Technology. 2018, 96(9-12), 3679-3690.
    Full text in Acris/Aaltodoc: http://urn.fi/URN:NBN:fi:aalto-201905062872
    DOI: 10.1007/s00170-018-1676-8 View at publisher
  • [Publication 2]: Kretzschmar, Niklas; Chekurov, Sergei; Salmi, Mika; Tuomi, Jukka. Evaluating the readiness level of additively manufactured digital spare parts: an industrial perspective. Applied Sciences. 2018, 8(10), 1837.
    Full text in Acris/Aaltodoc: http://urn.fi/URN:NBN:fi:aalto-201810245540
    DOI: 10.3390/app8101837 View at publisher
  • [Publication 3]: Kretzschmar, Niklas; Lipponen, Sami; Klar, Ville; Pearce, Joshua; Ranger, Tom; Seppälä, Jukka; Partanen, Jouni. Mechanical properties of ultraviolet-assisted paste extrusion and postextrusion ultraviolet-curing of three-dimensional printed biocomposites. 3D Printing and Additive Manufacturing. 2019, 6(3), 127-137.
    Full text in Acris/Aaltodoc: http://urn.fi/URN:NBN:fi:aalto-201906203930
    DOI: 10.1089/3dp.2018.0148 View at publisher
  • [Publication 4]: Chekurov, Sergei; Kretzschmar, Niklas. Classification of end-use industrial applications of additive manufacturing. Proceedings of the 29th international DAAAM symposium. DAAAM. 0894-0900.
    DOI: 10.2507/29th.daaam.proceedings.129 View at publisher
  • [Publication 5]: Chekurov, Sergei; Kretzschmar, Niklas; Rossoni, Marco; Redaelli, Davide; Colombo, Giorgio. Axiomatic design to foster additive manufacturing-specific design knowledge. Proceedings of the ASME 2019 International Mechanical Engineering Congress and Exposition (IMECE). American Society of Mechanical Engineers (ASME): Proceedings.
    DOI: 10.1115/IMECE2019-11480 View at publisher
Citation