scholarly journals Characteristic features of Enterococcus faecalis film formation on the stainless steel AISI 321 depending on the surface roughness

2018 ◽  
Vol 20 (90) ◽  
pp. 58-62
Author(s):  
K. U. Kravcheniuk

At the present stage of milk products manufacture, the most important factor affecting their safety and reducing their storage time is a microbiological one. Despite all complex of measures including washing, disinfection, heat processing to eliminate microbes on production equipment and in the finished products it is very difficult to achieve good results. This deals with the fact that microorganisms can survive on the production equipment thanks their ability to form biofilms and also treatment-resistant microorganisms strains appear in the process of continuous sanitary treatment. The aim of the paper was to study the biofilms Enterococcus faecalis formation on the stainless steel AISI 321 depending on their initial quantity and surface roughness. The plates made of the stainless steel AISI 321of surface roughness Rа = 0.955 mkm, Rа = 0.63 mkm and Rа = 0.16 mkm were used for the investigation. It  was found that during 9 hours Enterococcus faecalis was forming the biofilms of weak density less than 0,5 units on the stainless steel surface of AISI 321 of roughness Rа = 0.955 mkm. After the 12th hour the intensive film formation process was noticed in the options with initial number of cells E.f from 2000 to 10 000 and 20–50 thousand/ cm2, the biofilm was getting of high density – 1.246 and 1.415 respectively with initial number of cells less than 1000 per 1 cm2 of steel surface and it was of medium density – 0.672 cells. The process of film formation on the steel surface of roughness 0.63 mkm was rather decelerating, in comparison with the surface of roughness 0.955 mkm. Though, despite this, in the options with initial number of E.f. cells from 2000 to 10 000 and 20–50 thousand/cm2 the biofilms were of high density after the 12th hour of incubation, i.e. it was the same as for the  surface of 0.955 mkm roughness.  The process of film formation at such initial numbers of E.f. on the surface of roughness 0.63 mkm was finishing after the 24th hour while at roughness 0.955 mkm – after the 18th hour of incubation. It was found that on the steel surface of roughness 0.16 mkm the process of film formation was greatly getting slower comparing to the surfaces of roughness 0.955 and 0.63 mkm. During 12 hours of E.f. incubation in case when the initial number of E.f. was less than 1000 per 1 cm2 the film was of weak density but in cases when the initial number was 2000 – 10 000 and 20–50 thousand/cm2 the biofilms were of medium and high density – 0.917 and 1.025 units. After 18 hours of incubation the film was of medium density only in case when the initial number was less than 1000 E.f. per 1 cm2 of the surface. At larger initial number of bacteria it was of high density. Only after 24 hours of E.f. incubation biofilms in all options were of high density. Thus, we came to the conclusion that E.f. biofilms formation on the stainless steel AISI 321 is influenced by the surface roughness and initial number of bacteria. The results have shown that on the plates of roughness 0,16 mkm the film formation process is slower than on the surface of roughness 0.955 and 0.63 mkm.

Author(s):  
Abderrahmen Zerti ◽  
Mohamed Athmane Yallese ◽  
Oussama Zerti ◽  
Mourad Nouioua ◽  
Riad Khettabi

The purpose of this experimental work is to study the impact of the machining parameters ( Vc, ap, and f) on the surface roughness criteria ( Ra, Rz, and Rt) as well as on the cutting force components ( Fx, Fy, and Fz), during dry turning of martensitic stainless steel (AISI 420) treated at 59 hardness Rockwell cone. The machining tests were carried out using the coated mixed ceramic cutting-insert (CC6050) according to the Taguchi design (L25). Analysis of the variance (ANOVA) as well as Pareto graphs made it possible to quantify the contributions of ( Vc, ap, and f) on the output parameters. The response surface methodology and the artificial neural networks approach were used for output modeling. Finally, the optimization of the machining parameters was performed using desirability function (DF) minimizing the surface roughness and the cutting forces simultaneously. The results indicated that the roughness is strongly affected by the feed rate ( f) with contributions of (80.71%, 80.26%, and 81.80%) for ( Ra, Rz, and Rt) respectively, and that the depth of cut ( ap) is the factor having the major influence on the cutting forces ( Fx = 53.76%, Fy = 50.79%, and Fz = 65.31%). Furthermore, artificial neural network and response surface methodology models correlate very well with experimental data. However, artificial neural network models show better accuracy. The optimum machining setting for multi-objective optimization is Vc = 80 m/min, f = 0.08 mm/rev and ap = 0.141 mm.


Author(s):  
Adithya R Nair ◽  
P Niranjhan ◽  
M N Abijith ◽  
M Arivarasu ◽  
M Manikandan ◽  
...  

2013 ◽  
Vol 845 ◽  
pp. 765-769 ◽  
Author(s):  
Guilherme Cortelini Rosa ◽  
André J. Souza ◽  
Flávio J. Lorini

Machining performance consists to associate the optimal process and cutting parameters and maximum material removal rate with the most appropriate tool while controlling the machined surface state. This work verifies the influence of standard and wiper cutting tools on generated surface roughness and residual stress in dry finish turning operation of the martensitic stainless steel AISI 420 in a comparative way. Tests are conducted for different combinations of tool nose geometry, feed rate and depth of cut being analyzed through the Design of Experiments regarding to surface roughness parametersRaandRt. Moreover, the formation of residual stresses in the material (using the technique of X-Ray Diffraction) was evaluated after the machining process for these two cutting geometries and thereafter the result was compared between them. An ANOVA is performed to clarify the influence of cutting parameters on generated surface roughness, which outputs inform that cutting tool geometry is the most influent onRaandRt. It is concluded that analyzed wiper inserts present low performance for low feed rates. Regarding the analysis of the residual stresses it can be stated that for standard and wiper tools the values collected show that for finish turning the compression stresses were found. It can be observed that the greatest amount of compressive stress has been found for the standard tool.


In the present research work, Stainless Steel AISI 316 as per ASTM A 276 has been employed as the base material to perform Spark and Wire-Cut EDM. The main agenda behind performing Spark and Wire-Cut EDM on Stainless Steel AISI 316 is to find out the effect of machining parameters like surface roughness (SR) and MRR (Material Removal Rate). In-case of wire-cut EDM, brass wire) of 0.25 mm diameter is used as a tool and distilled water is used as dielectric fluid and experimental process parameters like Current (A) (2, 3 and 4 Amps), Pulse ON time (B) (25, 30 and 35 μs) and Wire feed rate (C) (40, 60 and 80 mm/sec). Similarly for spark cut EDM copper rod of 12 mm diameter and 65 mm length. Process parameters like Current (A) (6, 12 and 16 Amps), Voltage (B) (30, 35 and 40 Volts) and Pulse ON time (C) (50, 100 and 200μs) were maintained during the experimentation. Statistical tools ANOVA & L-9 Orthogonal Array (OA) have been employed to optimize the machining parameters like Surface Roughness (SR) and MRR (Material Removal Rate).


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