Auth, Cordula ; Anderl, Reiner (2018):
Additive Manufacturing Lifecycle – Data Collection and Analysis for Process and Component Optimization.
23rd International Seminar on High Technology - Smart Product Development: Challenges and Requirements, Piracicaba, Sao Paulo, Brazil, 04.10.2018, [Conference or Workshop Item]
Abstract
Based on the increasing digitalization, data collection and analysis for process optimization gets more important. New business models can be established through a proper database as for example tracking and tracing or predictive maintenance. In the field of additive manufacturing, a structured data collection and handling do not exist. The development of a data management concept to collect and analyze data over the entire lifecycle generates possibilities to optimize the AM product and process. The starting point for the optimization is the product development phase, because most decisions concerning the product are made in this phase. Besides, the additive manufacturing lifecycle features the phases material production, production process with pre-, in- and post-processing, use phase of the product and recycling or disposal. The different phases of the lifecycle can be monitored with the help of the data management concept. Furthermore, the influences between lifecycle phases need to be analyzed and the findings need to be returned to the appropriate lifecycle phase. Based on this possibility, a process and component optimization are possible.
| Item Type: | Conference or Workshop Item |
|---|---|
| Erschienen: | 2018 |
| Creators: | Auth, Cordula ; Anderl, Reiner |
| Title: | Additive Manufacturing Lifecycle – Data Collection and Analysis for Process and Component Optimization |
| Language: | English |
| Abstract: | Based on the increasing digitalization, data collection and analysis for process optimization gets more important. New business models can be established through a proper database as for example tracking and tracing or predictive maintenance. In the field of additive manufacturing, a structured data collection and handling do not exist. The development of a data management concept to collect and analyze data over the entire lifecycle generates possibilities to optimize the AM product and process. The starting point for the optimization is the product development phase, because most decisions concerning the product are made in this phase. Besides, the additive manufacturing lifecycle features the phases material production, production process with pre-, in- and post-processing, use phase of the product and recycling or disposal. The different phases of the lifecycle can be monitored with the help of the data management concept. Furthermore, the influences between lifecycle phases need to be analyzed and the findings need to be returned to the appropriate lifecycle phase. Based on this possibility, a process and component optimization are possible. |
| Uncontrolled Keywords: | Additive Manufacturing (AM), product development, data management, process and product optimization, lifecycle, fused deposition modeling, data collection, data analysis, platform, monitoring |
| Divisions: | 16 Department of Mechanical Engineering 16 Department of Mechanical Engineering > Department of Computer Integrated Design (DiK) |
| Event Title: | 23rd International Seminar on High Technology - Smart Product Development: Challenges and Requirements |
| Event Location: | Piracicaba, Sao Paulo, Brazil |
| Event Dates: | 04.10.2018 |
| Date Deposited: | 12 Oct 2018 06:46 |
| Export: | |
| Suche nach Titel in: | TUfind oder in Google |
 |
Send an inquiry |
Options (only for editors)
 |
Show editorial Details |
Drucken
Impressum