System Performance and Process Capability in Additive Manufacturing: Quality Control for Polymer Jetting
Polymer-based additive manufacturing (AM) gathers a great deal of interest with regard to standardization and implementation in mass production. A new methodology for the system and process capabilities analysis in additive manufacturing, using statistical quality tools for production management, is...
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| Format: | Article |
| Language: | English |
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MDPI AG
2020-06-01
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| Series: | Polymers |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2073-4360/12/6/1292 |
| _version_ | 1797566084173266944 |
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| author | Razvan Udroiu Ion Cristian Braga |
| author_facet | Razvan Udroiu Ion Cristian Braga |
| author_sort | Razvan Udroiu |
| collection | DOAJ |
| description | Polymer-based additive manufacturing (AM) gathers a great deal of interest with regard to standardization and implementation in mass production. A new methodology for the system and process capabilities analysis in additive manufacturing, using statistical quality tools for production management, is proposed. A large sample of small specimens of circular shape was manufactured of photopolymer resins using polymer jetting (PolyJet) technology. Two critical geometrical features of the specimen were investigated. The variability of the measurement system was determined by Gage repeatability and reproducibility (Gage R&R) methodology. Machine and process capabilities were performed in relation to the defined tolerance limits and the results were analyzed based on the requirements from the statistical process control. The results showed that the EDEN 350 system capability and PolyJet process capability enables obtaining capability indices over 1.67 within the capable tolerance interval of 0.22 mm. Furthermore, PolyJet technology depositing thin layers of resins droplets of 0.016 mm allows for manufacturing in a short time of a high volume of parts for mass production with a tolerance matching the ISO 286 IT9 grade for radial dimension and IT10 grade for linear dimensions on the Z-axis, respectively. Using microscopy analysis some results were explained and validated from the capability study. |
| first_indexed | 2024-03-10T19:21:43Z |
| format | Article |
| id | doaj.art-520e49b1f1da4380b5aeb45a5d53c5af |
| institution | Directory Open Access Journal |
| issn | 2073-4360 |
| language | English |
| last_indexed | 2024-03-10T19:21:43Z |
| publishDate | 2020-06-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Polymers |
| spelling | doaj.art-520e49b1f1da4380b5aeb45a5d53c5af2023-11-20T02:52:54ZengMDPI AGPolymers2073-43602020-06-01126129210.3390/polym12061292System Performance and Process Capability in Additive Manufacturing: Quality Control for Polymer JettingRazvan Udroiu0Ion Cristian Braga1Department of Manufacturing Engineering, Transilvania University of Brasov, 29 Eroilor Boulevard, 500036 Brasov, RomaniaDepartment of Manufacturing Engineering, Transilvania University of Brasov, 29 Eroilor Boulevard, 500036 Brasov, RomaniaPolymer-based additive manufacturing (AM) gathers a great deal of interest with regard to standardization and implementation in mass production. A new methodology for the system and process capabilities analysis in additive manufacturing, using statistical quality tools for production management, is proposed. A large sample of small specimens of circular shape was manufactured of photopolymer resins using polymer jetting (PolyJet) technology. Two critical geometrical features of the specimen were investigated. The variability of the measurement system was determined by Gage repeatability and reproducibility (Gage R&R) methodology. Machine and process capabilities were performed in relation to the defined tolerance limits and the results were analyzed based on the requirements from the statistical process control. The results showed that the EDEN 350 system capability and PolyJet process capability enables obtaining capability indices over 1.67 within the capable tolerance interval of 0.22 mm. Furthermore, PolyJet technology depositing thin layers of resins droplets of 0.016 mm allows for manufacturing in a short time of a high volume of parts for mass production with a tolerance matching the ISO 286 IT9 grade for radial dimension and IT10 grade for linear dimensions on the Z-axis, respectively. Using microscopy analysis some results were explained and validated from the capability study.https://www.mdpi.com/2073-4360/12/6/1292additive manufacturingmaterial jettingpolymermachine capabilityprocess capabilitystatistical process control |
| spellingShingle | Razvan Udroiu Ion Cristian Braga System Performance and Process Capability in Additive Manufacturing: Quality Control for Polymer Jetting Polymers additive manufacturing material jetting polymer machine capability process capability statistical process control |
| title | System Performance and Process Capability in Additive Manufacturing: Quality Control for Polymer Jetting |
| title_full | System Performance and Process Capability in Additive Manufacturing: Quality Control for Polymer Jetting |
| title_fullStr | System Performance and Process Capability in Additive Manufacturing: Quality Control for Polymer Jetting |
| title_full_unstemmed | System Performance and Process Capability in Additive Manufacturing: Quality Control for Polymer Jetting |
| title_short | System Performance and Process Capability in Additive Manufacturing: Quality Control for Polymer Jetting |
| title_sort | system performance and process capability in additive manufacturing quality control for polymer jetting |
| topic | additive manufacturing material jetting polymer machine capability process capability statistical process control |
| url | https://www.mdpi.com/2073-4360/12/6/1292 |
| work_keys_str_mv | AT razvanudroiu systemperformanceandprocesscapabilityinadditivemanufacturingqualitycontrolforpolymerjetting AT ioncristianbraga systemperformanceandprocesscapabilityinadditivemanufacturingqualitycontrolforpolymerjetting |