Response surface regression analysis on FeCrBSi particle in-flight properties by plasma spray
Runbo MA, Lihong DONG, Haidou WANG, Shuying CHEN, Zhiguo XING
Response surface regression analysis on FeCrBSi particle in-flight properties by plasma spray
This work discusses the interactive effects between every two of argon flow rate, voltage, and spray distance on in-flight particles by plasma spray and constructs models that can be used in predicting and analyzing average velocity and temperature. Results of the response surface methodology show that the interactive effects between voltage and spray distance on particle in-flight properties are significant. For a given argon flow rate, particle velocity and temperature response surface are obviously bending, and a saddle point exists. With an increase in spray distance, the interactive effects between voltage and argon flow rate on particle in-flight properties appear gradually and then weaken. With an increase in voltage, the interactive effects between spray distance and argon flow rate on particle in-flight properties change from appearing to strengthening and then to weakening.
particle velocity / particle temperature / interactive effects / response surface
[1] |
Wang H, Xu B, Jiang Y,
|
[2] |
Cizek J, Khor K A. Role of in-flight temperature and velocity of powder particles on plasma sprayed hydroxyapatite coating characteristics. Surface and Coatings Technology, 2012, 206(8–9): 2181–2191
CrossRef
Google scholar
|
[3] |
Zhang C, Li C, Liao H,
CrossRef
Google scholar
|
[4] |
Wand S, Li G, Wang H,
|
[5] |
Piao Z, Xu B, Wang H,
CrossRef
Google scholar
|
[6] |
Zhang X, Xu B, Xuan F,
CrossRef
Google scholar
|
[7] |
Zhang S, Li C, Li C,
CrossRef
Google scholar
|
[8] |
Cizek J, Khor K A, Prochazka Z. Influence of spraying conditions on thermal and velocity properties of plasma sprayed hydroxyapatite. Materials Science and Engineering C, 2007, 27(2): 340–344
CrossRef
Google scholar
|
[9] |
Kang J. Research on Competing Failure Behavior and Life Prediction of Plasma Spraying Coating. Beijing: China University of Geosciences, 2013 (in Chinese)
|
[10] |
Bai Y, Liu K, Wen Z,
CrossRef
Google scholar
|
[11] |
Liu K, Tang J, Bai Y,
CrossRef
Google scholar
|
[12] |
.. Anderson-Cook C M, Borror C M, Montgomery D C. Response surface design evaluation and comparison. Journal of Statistical Planning and Inference, 2009, 139(2): 629–641
CrossRef
Google scholar
|
[13] |
Xu Y, Li M, Zhao X,
|
[14] |
Grubbs F E. Sample criteria for testing outlying observations. Annals of Mathematical Statistics, 1950, 21(1): 27–58
CrossRef
Google scholar
|
/
〈 | 〉 |