Anodic Treatment Improves Surface Properties of Stainless Steel

2009 ◽  
pp. 118-118-8
Author(s):  
Jane Sorensen ◽  
George Shepard
Keyword(s):  
Stainless Steel ◽  
Surface Properties ◽  
Anodic Treatment

scholarly journals Effect of Low-Temperature Plasma Nitriding on Corrosion and Surface Properties of Duplex Stainless Steel UNS S32205

2020 ◽  
Vol 29 (4) ◽  
pp. 2612-2622
Author(s):  
Yamid E. Núñez de la Rosa ◽  
Oriana Palma Calabokis ◽  
Paulo César Borges ◽  
Vladimir Ballesteros Ballesteros
Keyword(s):  
Stainless Steel ◽  
Low Temperature ◽  
Duplex Stainless Steel ◽  
Surface Properties ◽  
Plasma Nitriding ◽  
Low Temperature Plasma ◽  
Temperature Plasma

The effects of heating in a vacuum on the surface properties of a low chromium stainless steel

1981 ◽  
Vol 14 (1) ◽  
pp. 17-23 ◽  
Author(s):  
G. Bombara ◽  
A. Alderisio ◽  
U. Bernabai ◽  
M. Cavallini
Keyword(s):  
Stainless Steel ◽  
Surface Properties ◽  
Chromium Stainless Steel

scholarly journals Nonlinear laser lithography to control surface properties of stainless steel

CIRP Annals ◽  
2015 ◽  
Vol 64 (1) ◽  
pp. 193-196 ◽  
Author(s):  
L. Orazi ◽  
Ia. Gnilitskyi ◽  
I. Pavlov ◽  
A.P. Serro ◽  
S. Ilday ◽  
...  
Keyword(s):  
Stainless Steel ◽  
Surface Properties ◽  
Control Surface ◽  
Laser Lithography

Enhancement of surface properties of nanocrystalline TiN coated plasma nitrided AISI 310 austenitic stainless steel

2017 ◽  
Vol 11 (6) ◽  
pp. 547 ◽  
Author(s):  
Gajendra Prasad Singh ◽  
Aman Aggarwal ◽  
Sanjay Kumar Sinha ◽  
Pankaj Kumar Singh ◽  
Arbind Kumar
Keyword(s):  
Stainless Steel ◽  
Austenitic Stainless Steel ◽  
Surface Properties

Modification of surface properties of solids by femtosecond LIPSS writing: comparative studies on silicon and stainless steel

2017 ◽  
Vol 123 (12) ◽  
Author(s):  
Olga Varlamova ◽  
Kevin Hoefner ◽  
Markus Ratzke ◽  
Juergen Reif ◽  
Debasish Sarker
Keyword(s):  
Stainless Steel ◽  
Surface Properties ◽  
Comparative Studies

scholarly journals Stochasticity of Bacterial Attachment and Its Predictability by the Extended Derjaguin-Landau-Verwey-Overbeek Theory

2011 ◽  
Vol 77 (11) ◽  
pp. 3757-3764 ◽  
Author(s):  
Teck Wah R. Chia ◽  
Vu Tuan Nguyen ◽  
Thomas McMeekin ◽  
Narelle Fegan ◽  
Gary A. Dykes
Keyword(s):  
Stainless Steel ◽  
Physicochemical Properties ◽  
Surface Properties ◽  
Bacterial Attachment ◽  
Bacterial Cells ◽  
Initial Ratio ◽  
Content Type ◽  
Initial Inoculum ◽  
Serovar Typhimurium ◽  
Attachment Process

ABSTRACTBacterial attachment onto materials has been suggested to be stochastic by some authors but nonstochastic and based on surface properties by others. We investigated this by attaching pairwise combinations of twoSalmonella entericaserovar Sofia (S. Sofia) strains (with different physicochemical and attachment properties) with one strain each ofS. entericaserovar Typhimurium,S. entericaserovar Infantis, orS. entericaserovar Virchow (all with similar physicochemical and attachment abilities) in ratios of 0.428, 1, and 2.333 onto glass, stainless steel, Teflon, and polysulfone. Attached bacterial cells were recovered and counted. If the ratio of attached cells of eachSalmonellaserovar pair recovered was the same as the initial inoculum ratio, the attachment process was deemed stochastic. Experimental outcomes from the study were compared to those predicted by the extended Derjaguin-Landau-Verwey-Overbeek (XDLVO) theory. Significant differences (P< 0.05) between the initial and the attached ratios for serovar pairs containingS. Sofia S1296a for all different ratios were apparent for all materials. ForS. Sofia S1635-containing pairs, 7 out of 12 combinations of serovar pairs and materials had attachment ratios not significantly different (P> 0.05) from the initial ratio of 0.428. Five out of 12 and 10 out of 12 samples had attachment ratios not significantly different (P> 0.05) from the initial ratios of 1 and 2.333, respectively. These results demonstrate that bacterial attachment to different materials is likely to be nonstochastic only when the key physicochemical properties of the bacteria were significantly different (P< 0.05) from each other. XDLVO theory could successfully predict the attachment of some individual isolates to particular materials but could not be used to predict the likelihood of stochasticity in pairwise attachment experiments.

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