CN106777570A - A kind of rotational flow grit chamber Optimization Design - Google Patents
A kind of rotational flow grit chamber Optimization Design Download PDFInfo
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Abstract
The present invention relates to a kind of rotational flow grit chamber Optimization Design, based on rotational flow grit chamber hydraulic model, influence rotational flow grit chamber is optimized to the various parameters of trickle silt removal efficiency, including design is optimized away from pond body distance from bottom to rotational flow grit chamber residence time, setting pot rotating speed of agitator, agitating paddle wing setting angle degree, agitating paddle.Optimization method of the present invention is simple and reliable, and Optimal Parameters are easily achieved, and rotational flow grit chamber totality desanding efficiency is obviously improved after optimization, and the removal effect especially for less than 200 μm trickle silts is significantly improved.
Description
Technical field
Patent of the present invention is related to sewage treatment area, and more particularly to a kind of optimization for lifting rotational flow grit chamber desanding efficiency sets
Meter method.
Background technology
In Sewage Plant, inorganic solid particle can directly affect the normal operation of system into subsequent technique, cause equipment
And pipe wear, structures and channel silt sand etc..Generally need setting sand-catching apparatus to make a return journey except the silt in sewage, make subsequently to set
Standby and technique is smoothed out.Rotational flow grit chamber is because the advantages of its floor space is small, installation and debugging facilitate, being often selected.According to giving
Drainage Design specification, it is desirable to which setting pot is more than 0.2mm to particle diameter, density is more than 2.65m3Particulate matter steady removal.But I
Due to run-off system and soil characteristic etc., particulate matter only accounts for a small portion more than more than 0.2mm components in many Sewage Plant water inlets for state
Point, even less than 0.1mm particles things ,s account for the overwhelming majority, and these trickle inorganic particulate matters enter biochemical system and run band to it
Carry out many problems,
The content of the invention
Patent purpose of the present invention is to provide a kind of rotational flow grit chamber Optimization Design, i.e., influence rotational flow grit chamber is removed
Sand efficiency, the especially various parameters of trickle silt removal efficiency are optimized, and the parameter based on this optimization method can be effective
Improve rotational flow grit chamber totality desanding efficiency, and to sewage in trickle gravel have preferably reinforcing removal effect.
Technical solution of the invention is as follows：
A kind of rotational flow grit chamber Optimization Design, design comprises the following steps：
1st, hydraulic model builds：Sewage Plant rotational flow grit chamber is copied, according to hydraulic similarity criterion, bi-directional scaling, system
Obtain sand setting pool model.
2nd, experiment of single factor：With desanding efficiency as index, investigate 4 influence rotational flow grit chamber desanding efficiencies it is main because
Element：The rotational flow grit chamber residence time, setting pot rotating speed of agitator, agitating paddle wing setting angle degree, agitating paddle away from pond body bottom away from
From, 3 factors therein are fixed respectively, change another 1 factor and optimize, draw change water of the single factor test to desanding efficiency
Flat influence, and determine 4 optimum values of single factor test.
First according to Sewage Plant setting pot water inlet particle size distribution proportioning in experimentation, configuration dries quartz sand, matches somebody with somebody
Sand is uniformly added into sediment by rotational flow pool model irrigation channel in certain time interval T by funnel, and T is tried to achieve by formula (1)：
Q*T*SS*10-3=500 (1)
Wherein Q is corresponding flow, L/min under the different residence times；SS is control water inlet solid suspension concentration, and M is
Configuration quartz sand quality, g.
Sand is dried to constant weight in 105 DEG C setting pot model sand collecting hopper is collected in experiment after terminating in, and cooling is weighed.Experimental result
Investigate clearance, removal efficiency %=sand collecting hoppers sand weight × 100%/500.The mesh of particulate size of shaking out classified utilization 70 and 150
Mesh standard sieve mesh screen point, volume average particle size is tested using BT-9300HT laser particle analyzers.
3rd, Plackett-Burman design experiments (being a kind of screening test)：On the basis of single factor experiment, utilize
Plackett-Burman experimental design methods, screen to above-mentioned influence factor.Each factor take respectively low (- 1) and it is high (+
1) two levels, totally 12 test combinations, carry out experimental design.Each experiment is repeated 3 times, and it is result of the test to average.Examination
Testing result carries out variance analysis, determines experimental design reliability.Evaluate each factor P values, it is determined that influence desanding efficiency it is main because
Element, in next step response surface analysis, investigates the optimal level scope of these factors.
4th, response surface analysis：In Plackett-Burman experimental basis, the major influence factors for filtering out, using sound
Surface Analysis are answered to optimize the operational factor of rotational flow grit chamber.Using a kind of Box-Behnken (examinations in response surface analysis
Test method for designing) design mathematic model, different models fitting comparative analyses are carried out to experimental result, it is determined that influence rotational flow grit chamber
The primary and secondary and reciprocation of the factor of desanding efficiency, and influence factor to significant interaction carries out setting pot desanding efficiency
Investigate, determine optimum optimization parameter.
The investigation of setting pot desanding efficiency is carried out to the inapparent influence factor of reciprocation, with confirmatory experiment and result point
The accuracy of analysis.According to foregoing, it is determined that the influence factor parameter most weak to the influence of desanding efficiency is experiment of single factor optimized parameter,
The final Optimal Parameters that rotational flow grit chamber during except sand coarse aggregate ratio highest is determined.
5th, optimum results checking：3 checking tests are carried out under this model optimization Parameter Conditions, it is determined that average removal effect
Rate, it is ensured that relative deviation illustrates that above setting pot optimization method is feasible within 5%, then.
Based on described above visible, a kind of rotational flow grit chamber optimization method that the present invention is provided is to rotation by various experiments
The various parameters for flowing setting pot are optimized, and are reached to the preferable desanding effect of trickle silt, and make overall desanding efficiency higher.
Optimization method of the present invention is simple and reliable, and Optimal Parameters are easily achieved, and rotational flow grit chamber totality desanding efficiency is obviously improved after optimization,
Removal effect especially for less than 200 μm trickle silts is significantly improved.
Brief description of the drawings
Fig. 1 is the residence time to desanding efficiency and the influence curve figure of channel silt sand coarse aggregate ratio
Fig. 2 is influence curve figure of the revolution speed of propeller to removal efficiency
Fig. 3 be propeller away from bottom of pond distance to the influence curve figure of desanding efficiency
Fig. 4 is influence curve figure of the spiral propeller angle to desanding efficiency
Fig. 5 is the influence figure of residence time and revolution speed of propeller to desanding efficiency
Fig. 6 is influence figure of the propeller away from bottom of pond distance and revolution speed of propeller to desanding efficiency.
Specific embodiment
With reference to embodiment, patent of the present invention is described in further detail, but embodiments of the present invention are not
It is limited to this.
Design is optimized to certain newly-built Sewage Plant rotational flow grit chamber using the inventive method, to lift trickle silt desanding
Performance simultaneously significantly improves overall desanding performance.Details as Follows for specific implementation：
1st, hydraulic model builds：
Certain newly-built Sewage Plant standard rotational flow grit chamber is copied, according to hydraulic similarity criterion, scaling of model ratio Lr=6,
Model is built to be tested.The specific size of model is：Pond diameter 0.833m；Sand hopper diameter 0.250m；Irrigation channel width
0.200m；Water outlet channel width 0.200m；Sand export diameter 0.075m；Sand hopper height 0.350m；Sand setting area design water level
0.303m；Sand setting area height 0.450m；Inlet channel height 0.333m；Inlet channel length 0.222m；Water inlet slope length 0.450m；
Trunnion front height 0.188m；Trunnion rear height 0.133m；60 ° of sand hopper angle；15 ° of ramp angles of water inlet.
2nd, simulated experiment operation：
Analysis knows Sewage Plant setting pot water inlet particle size 82.36% less than 212 μm before experiment, and 52.81% is less than
106μm.According to this distribution proportioning, 70-500 mesh (being more than 212 μm) content is about 17.64%, 70-150 mesh (106~212 μm)
Content about 29.55%, 150-1000 mesh (be less than 106 μm) accounts for the 52.81% of total amount, and configuration dries quartz sand 500g as entering
Water sand amount carries out follow-up simulated experiment.
After after the operation of setting pot model stability, 500g is uniformly added into eddy flow in certain time interval T with sand by funnel and is sunk
T is tried to achieve by formula (1) in sand pool model irrigation channel.
Q*T*SS*10-3=500 (1)
Wherein Q is corresponding flow, L/min under the different residence times；SS is control water inlet solid suspension concentration, this reality
It is Sewage Plant water inlet average 300mg/L to test.
Sand is dried to constant weight in 105 DEG C setting pot model sand collecting hopper is collected in experiment after terminating in, and cooling is weighed, and calculates removal
Rate, removal efficiency %=sand collecting hoppers sand weight × 100%/500.
Experiment of single factor：
With desanding efficiency as index, water distribution simulated experiment is carried out, investigating 4 influences the main of rotational flow grit chamber desanding efficiency
Factor：Sand pond rotating speed of agitator, rotational flow grit chamber agitating paddle blade angle, agitating paddle blade away from setting pot pond body distance from bottom,
Hydraulic detention time, draws Changing Pattern of each single factor test to desanding efficiency, and determine 4 optimum values of single factor test.
The preset parameter that single factor experiment is used is respectively：Residence time is 40s, and propeller blade rotating speed is 8r/min, spiral shell
Rotation blade is 40mm apart from bottom of pond, and spiral propeller angle is 60 °.3 factors therein are fixed respectively, and changing another 1 factor is carried out
Optimization, factor excursion is respectively：Residence time is 20~60s, and propeller blade rotating speed is 2~26 (r/min), and blade is away from pond
Bottom distance 30~110 (mm), blade angle is 15~75 (°).
Interpretation：
Investigate clearance, the mesh of particulate size of shaking out classified utilization 70 and 150 mesh standard sieve mesh screens point, volume average particle size
Tested using BT-9300HT laser particle analyzers.Experimental result as shown in Figure 1, Figure 2, Fig. 3, Fig. 4.
Experiment of single factor result shows, for total desanding efficiency, optimal single factor test condition is respectively：Residence time is
30s, propeller blade rotating speed is 8r/min, and blade is 50mm away from bottom of pond distance, and blade angle is 30 °.
Plackett-Burman design experiments：
On the basis of single factor experiment, using Plackett-Burman experimental design methods, above-mentioned influence factor is sieved
Choosing.Each factor takes low (- 1) and (+1) two levels high respectively, is shown in Table 1, totally 12 test combinations.Each treatment repeats 3
Secondary, it is result of the test to average.
The Plackett-Burman experimental designs factor of table 1 is encoded and level
Experimental design and response are shown in Table 2.
The Plackett-Burman experimental designs of table 2 and response
Interpretation：
Analysis result as shown in Table 3, main effect P values<0.0001, show that Plackett-Burman experimental design factors exist
It is notable on the influence of sand setting pool model desanding efficiency in selected horizontal extent, while coefficient of determination R2=0.9948, correct R2=
0.9918, regression model is illustrated effectively, while the coefficient of variation 2.54%<10%, precision 42.050>4, illustrate that experimental design can
Lean on.
By table 3 it can also be seen that residence time (P<0.0001), revolution speed of propeller (P=0.0015<0.01), propeller
Highly (P=0.0018<0.01) it is the principal element that influences desanding efficiency, so in the response surface analysis of next step, emphasis
Investigate the optimal level scope of this 3 factors, the not notable (P=0.2792 of propeller blade angle influence>0.05), using single factor test
30 ° of the optimum condition of result of the test.
The Plackett-Burman experimental design the results of analysis of variance of table 3
Note：*0.01<P<0.05 represents that otherness is notable；**P<0.01 represents that otherness is extremely notable.
Response surface analysis：
In Plackett-Burman experimental basis, the principal element for filtering out is heavy to eddy flow using Responds Surface Methodology
The operational factor in sand pond is optimized.Using Design Expert8.0.5b softwares, 3 factors 3 are set up using Box-Behnken
Level math model, level and coding such as table 4.
The response surface design factor of table 4 is encoded and level
Interpretation：
Different models fitting comparative analyses are carried out to the experimental result in table 4 using Design Expert8.0.5b softwares
The results are shown in Table 5, as a result show using polynary Quadratic Regression Fitting modelling effect rationally, through regression fit after, obtain always going for sand
Except efficiency (Y) for the regression equation of response is (2)：
Y=-123.99256+9.99342A+1.02829B-0.074601C-0.043621AB+0.01 7913BC-
0.13008A2 (2)
The variance analysis of model and regression coefficient significance test result are as shown in table 6, by variance analysis, model
P ＜ 0.0001, extremely significantly；Model coefficient of determination R2=0.9700, correction coefficient of determination R2=0.9519, show that model can be solved
95.19% response change is released, model-fitting degree is high；Lose and intend item P=0.064 ＞ 0.05 not significantly, the coefficient of variation CV of model
=3.82% ＜ 10%, precision values are 22.699 ＞ 4, show that the confidence level and accuracy of experiment are high.
Also known by table 6, ascending according to P values, the influence primary and secondary order of each factor desanding efficiency is：Residence time ＞ oar
Blde pitch bottom of pond is apart from ＞ blade rotating speeds.Although influence of the rotating speed to desanding efficiency be not notable, residence time and rotating speed are to removing
Influence of the reciprocation (AB) of sand efficiency to desanding efficiency is notable.Propeller blade rotating speed and blade are imitated away from bottom of pond distance to removal
The reciprocation (BC) of rate is not notable.
Response surface design figure can intuitively show the reciprocation between factor, and Fig. 5 is solid away from bottom of pond distance in propeller blade
It is set under the conditions of 70mm, the influence of setting pot residence time and revolution speed of propeller to setting pot desanding efficiency.Can from figure
Go out the significant interaction of propeller blade rotating speed and residence time, it is consistent with the results of analysis of variance.
Fig. 6 shows that under the conditions of the residence time is fixed as 40s propeller is away from bottom of pond distance and revolution speed of propeller to sand setting
The influence of pond desanding efficiency.It can be seen that the reciprocation of propeller blade rotating speed and residence time is not obvious, with variance analysis knot
Fruit is consistent.
Model prediction result shows that best of breed factor level is：Residence time be 35.06s, revolution speed of propeller be 20r/
, away from bottom of pond away from being 70mm, theoretical removal efficiency is up to 76.31% for min, blade.
Table 5R2Comprehensive analysis
The quadratic polynomial regression model variance analysis of table 6
Note：*0.01<P<0.05 represents that otherness is notable；**P<0.01 represents that otherness is extremely notable.
Optimum results are verified：
3 checking tests are carried out under the conditions of this model prediction result, average removal efficiency is 72.68%, relative deviation
Within 5%, illustrate that above setting pot optimization method is feasible.
Further with by laser particle analyzer and standard screen cloth, the average grain of volume intake with sediment outflow under test optimal conditions
Footpath and particle diameter distribution, as a result show that water inlet particulate matter volume mean diameter is 139.41 μm, and sediment outflow volume mean diameter is 215.59 μm；
More than 212 μm of particulate matter removal efficiencies up to 99.95%, 106-212 μm of particulate matter removal efficiencies up to 92.00%, less than 106
μm particulate matter removal efficiencies are 49.39%, it can be seen that can be more than 106 μm with steady removal under setting pot this optimal conditions
Grain thing, for also having suitable removal effect less than 106 μm of particulate matters.Reach the same of enhancing rotational flow grit chamber entirety desanding efficiency
When, improve the purpose of design to the removal of trickle gravel.
Claims (3)
1. a kind of rotational flow grit chamber optimization method, it is characterised in that comprise the following steps：
(1) model construction：According to hydraulic similarity criterion, Sewage Plant sand setting pool model is built in proportion；
(2) experiment of single factor：With desanding efficiency as index, investigate rotational flow grit chamber residence time, setting pot rotating speed of agitator, stir
Oar wing setting angle degree, agitating paddle are mixed away from this 4 principal elements of influence rotational flow grit chamber desanding efficiency of pond body distance from bottom, point
Not Gu Ding 3 factors therein, change another 1 factor and optimize, draw shadow of the single factor test to the change level of desanding efficiency
Ring, and determine 4 optimum values of single factor test；
Described refers to that, in experiment, need to divide according to Sewage Plant rotational flow grit chamber water inlet particle size by index of desanding efficiency
Cloth, configuration dries quartz sand, and quartz sand is uniformly added into sediment by rotational flow pool model irrigation channel in certain time interval T by funnel
In, T is by Q*T*SS*10-3=M is tried to achieve, and wherein Q is corresponding flow, L/min under the different residence times；SS is solid for control water inlet
Body concentration of suspension, M is configuration quartz sand quality, g；Sand is dried to perseverance during experiment collects setting pot model sand collecting hopper after terminating
Weight, cooling is weighed, and obtains desanding efficiency index；
(3) Plackett-Burman design experiments are carried out：With desanding efficiency as index, two levels are taken to each single factor test factor
To be analyzed, at least 12 test combinations are needed altogether, variance analysis is carried out to result of the test, carry out the conspicuousness of certainty factor；
(4) response surface analysis：Using Box-Behnken design mathematic models, different models fitting contrasts are carried out to experimental result
Analysis, needs analysis model P values, the coefficient of determination, the correction coefficient of determination, the coefficient of variation, precision values, investigates influence rotational flow grit chamber
The primary and secondary and reciprocation of the factor of desanding efficiency, and optimal conditions when determining rotational flow grit chamber except sand coarse aggregate ratio highest, choose most
Whole optimum results.
2. rotational flow grit chamber optimization method as claimed in claim 1, it is characterised in that constructed model contraction ratio Lr >=1.
3. rotational flow grit chamber optimization method as claimed in claim 1, it is characterised in that the selection of the final optimization pass result,
For the unconspicuous factor of reciprocation, first determine to except the inapparent factor optimized parameter of sand coarse aggregate ratio be single factor test optimal value, it
Afterwards, for the obvious factor of reciprocation, continue to being investigated except sand coarse aggregate ratio, remove one group of parameter of sand coarse aggregate ratio highest.
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Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
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| CN110580377A (en) * | 2019-08-06 | 2019-12-17 | 天津大学 | Grass planting ditch design parameter optimization method based on response surface method |
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Application publication date: 20170531 |