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| 001 | 834417 | ||
| 005 | 20240711085627.0 | ||
| 024 | 7 | _ | |a 10.1007/s11666-017-0559-0 |2 doi |
| 024 | 7 | _ | |a 1059-9630 |2 ISSN |
| 024 | 7 | _ | |a 1544-1016 |2 ISSN |
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| 037 | _ | _ | |a FZJ-2017-04375 |
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| 082 | _ | _ | |a 670 |
| 100 | 1 | _ | |a Mauer, Georg |0 P:(DE-Juel1)129633 |b 0 |e Corresponding author |
| 245 | _ | _ | |a Monitoring and Improving the Reliability of Plasma Spray Processes |
| 260 | _ | _ | |a Boston, Mass. |c 2017 |b Springer |
| 336 | 7 | _ | |a article |2 DRIVER |
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| 520 | _ | _ | |a Monitoring and improving of process reliability are prevalent issues in thermal spray technology. They are intended to accomplish specific quality characteristics by controlling the process. For this, implicit approaches are in demand to rapidly conclude on relevant coating properties, i.e., they are not directly measured, but it is assumed that the monitored variables are in fact suggestive for them. Such monitoring can be performed in situ (during the running process) instead of measuring coating characteristics explicitly (directly) and ex situ (after the process). Implicit approaches can be based on extrinsic variables (set from outside) as well as on intrinsic parameters (internal, not directly adjustable) having specific advantages and disadvantages, each. In this work, the effects of atmospheric plasma spray process variables are systemized in process schemes. On this basis, different approaches to contribute to improved process reliability are described and assessed paying particular attention to in-flight particle diagnostics. Finally, a new test applying spray bead analysis is introduced and first results are presented. |
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| 700 | 1 | _ | |a Mücke, Robert |0 P:(DE-Juel1)129641 |b 2 |u fzj |
| 700 | 1 | _ | |a Vassen, Robert |0 P:(DE-Juel1)129670 |b 3 |u fzj |
| 773 | _ | _ | |a 10.1007/s11666-017-0559-0 |g Vol. 26, no. 5, p. 799 - 810 |0 PERI:(DE-600)2047715-6 |n 5 |p 799 - 810 |t Journal of thermal spray technology |v 26 |y 2017 |x 1544-1016 |
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