Process Optimization - Science topic

Seeding density optimized at 3E5 cells/mL . Don't put too high.

RPM is very important. What is your tip speed?

DO set at 40%

pH setting : Keep floating like in SF, then start to control from D3 at 7+/-0.2

The best value must be determined but you can work with methanol/oil=12 (molar atio).

Interesting question though we all know the answer but it would be tough to put it in words and yes even I would be waiting for the answer to this question

My thinking for geometallurgy is that it is used to select and blend the feed material to the process plant to maximise throughput, product quality, or economic factors by removing uncertainty of the future outcome of processing the ore. Online or real time analysis (ie measuring the plant performance) is only measuring the outcome, enabling feedback to the planning process, or limited feed forward control.

Online analysis (of whichever type) is a powerful tool to reduce uncertainty of the plant performance and enables feed forward control. Geometallurgy is an important component of plant performance, but more so to the understanding of the plant performance with certain ore types which typically falls into the process control side of things more than geometallurgy.

I.e. it is easy to lump everything into geometallurgy as ultimately it does prescribe how an ore is going to behave, but that is like saying it is Gods will, it is way to general and not helpful. The geometallurgy therefore needs to be defined if it is related to ore blending from the pit, a specific process plant step, or combination of, which will determine the cost and complexity of executing it.

Much chemical process modelling and/or simulation work can be done with the widely-used Microsoft’s Excel. Application example ― Simulations carried in Excel 5.0 with Visual Basic for Applications (VBA) macros ― The recursive least squares algorithm (RLS) allows for (real-time) dynamical application of least squares regression to time series. Years ago, while investigating adaptive control and energetic optimization of aerobic fermenters, I have applied the RLS algorithm with forgetting factor (RLS-FF) to estimate the parameters from the K_La correlation, used to predict the O₂ gas-liquid mass-transfer, while giving increased weight to most recent data. Estimates were improved by imposing sinusoidal disturbance to air flow and agitation speed (manipulated variables). The power dissipated by agitation was accessed by a torque meter. The proposed (adaptive) control algorithm compared favourably with PID. This investigation was reported at (MSc Thesis):

About predicting a suitable 'V' angle and rotating speed for a V-shaped tumble blender please check my answers given elsehwere at this forum:

https://www.researchgate.net/post/How-do-the-angles-of-V-Blender-tumbler-affect-powder-mixing-operations

Firstly, you have to define the system under optimization. If this section you said is part of greater industrial facility, I would recommend to consider the total industrial facility for the optimization. The optimum condition for each element of a system, taken together will not represent the optimum of the system as whole.

After that, you should start modeling the components of the industrial flow-sheet. You can use phenomenological models or empirical ones. In this last case statistical procedures such as Evolutionary operations (EVOP) could be used at industrial scale

It is important to clearly define a proper objective function and good constrains to limit the solution to feasible conditions.

For me, optimization by computer simulations is the best when ever possible. I recommend MATLAB software to do this.

Hello, I am trying to do a simulation all my stream appeared correct but when I run the simulation a message shows:

Main Process Flowsheet:

Section GLOBAL:

BLOCK not complete: BLKID = ABSORB

Required outlet port: P(OUT) does not have stream connected

BLOCK not complete: BLKID = PUMP

Required outlet port: P(OUT) does not have stream connected

could any one help le to solve the prob

For optimization in ASPEN PLUS environment, it could be useful.

The Autodesk is the best tool for three D model. The layout and optimization tools that allow design, layout, and configuration of Energy & Utility production environments, material cost, safety, maintenance of the equipment’s, ,heavy earth moving equipment’s movement for vessels and equipment’s maintenance.as well as optimize equipment and line operations using 3D facility models. Like AutoCAD , Autodesk,.Aveva, etc.

The AutoCAD facility and production line design and optimization solution enables the development of 3D virtual models of production systems to optimize layouts and ensure that factors such as clearance, energy, noise, and safety are considered before starting production.

Sorry I was asking about, are you able to find the solution for your question. I mean keeping abaqus cae license server open and running the python script to reduce computational efforts.

The Design-Expert® software will do the job! The only thing you need is to define the variables and input the obtained data. This is a portable software that is perfect to work on the go!

1. must be define the parameter

2. Conducts one of DoE methods like Taguchi or RSM...

3. Records the responses

4. Analysis the results

5. Conformation test

Having studied adaptive control and energetic optimization of aerobic fermenters, I used a torque meter inserted at the impeller shaft to access the power dissipated by agitation, as can be found reported at the following MSc Thesis:

Your question has a problem, as with many other questions on Research Gate, of incompleteness.

Is the domain for free convection a confined space or unconfined? If it is unconfined, the heat transfer coefficient will be a function of the surface temperature, which in turn, will depend on the conduction region geometry.

On the other hand, if it is confined space then the heat travel length in natural convection will also enter the picture, if this length is small (such as narrow gaps).

Dear Lafifi

Thank u so much

Your question is not clear for me. As far as I know, Markov chain is a process of obtaining the probability of changing between states (or staying in the given state). That is done by using a matrix called a transition matrix which is constructed based on previous experience or data. Optimization in the other hand is finding values for variables which will provide an optimum (maximum or minimum) measure of an objective. What exactly do u want o optimize?

manganese acetate is an inorganic salt. Are you sure it is the salt that is distilled or product or reactants

Dear Seyed Muhammad Hussein Mousavi ,

You can refer to  (CEC2005, CEC2013, CEC2105, CEC2015) test suits which contain problem definitions and evaluation criteria for the single objective real-parameter optimization problems. Please see the attached link and papers.

Regards.

Soheila.

Search for Benedict Ita, University of Calabar, Calabar · Department of Pure and Applied Chemistry. He is a professor of physical and electrochemistry.

Dear Ainil,

Please try to maintain your F/M ratio in the range of 0.15-0.3, that will surely help you. Can you please tell me how you are maintaining pH in your system ?

Regards,

Rakshita

POX is a  good way to produce syngas/H2 from any hydrocarbon.  Usually low value  hydrocarbon  like vacuum resdue or natural gas are used as feed but any hydrocarbon will work.  

If you want to produce H2 from C6+ Hydrocarbon naphtha reforming is a good option that will increase the octane of the naphtha and make H2 as a byproduct 

As per FDA:

For Solid Dosage:Two Pilot Scale batches of 100,000 units or at least 10% of proposed production whichever is greater, Third batch can be smaller than 10% of proposed  production but NLT 25% of the pilot scale

For Parenteral: Two batches at least 10% of proposed commercial size (i.e. pilot scale size) or 50 L whichever is larger. Third batch can be smaller than 10% of proposed production but NLT 25% of the pilot scale

All submission batches manufactured under CGMP with same formulation, same specifications, and at the commercial site

Dear, I second Mr. Jie Liu on this but I'd be able to comment on this if you describe your problem in detail. Specifically, the constraints you have in this problem.

Dear Jyotsna,

If you want to reduce the number of experiments, you will have to go for a sequential approach.

First, using a screening design, identify which factors are important.

Second, using important factors in a full or fractional factorial with center point, verify whether curvature is present or not.

Third, using method of steep accent/ decent, identify the region of maxima/ minima as the case may be.

Fourth, apply DOE in the region of maxima/ minima to find the optimum point.

You should look for Support Vector Regression. It is an extension of SVM theory to regression that is based on optimization. However, your optimization problem should be stated according to certain types of cost functions.

Sehr geehrter Herr Vodel, falls noch von Interesse, könnte ich meine Erfahrungen mit der Einführung - genauer der versuchten Einführung - von Lean Techniken in der SW Produktion anbieten. Wichtig zu klären, wäre welche Ziele Sie mit der Einführung von  "Lean Management in the IT sector" verfolgen. Die Aufgabe würde mich reizen.

Beste Grüße Gernot Westphalen

What's your current programming skill in C?

I created a brief tutorial on usage of Genopt with EnergyPlus at an elementary level. It is easily accessible through Google. Try if it helps!

Thanks Manohar, Alain and Velladurai

You should redesign the primers in my opinion. Primer length actually isn't that important as long as it works. You are already running well below the usual annealing temperatures. But do not worry, all is not lost! I have a few suggestions.

I would sincerely recommend going farther outside the gene and looking for a site that will make primers with a high GC content. You can always amplify a larger portion beyond the gene and then after purifying the longer version, use it as template with these primers.

Additionally, you can troubleshoot and figure out which primer is failing you. Design primers somewhere inside the gene at a point with a high GC content. Basically creating shorter parts of the first part and last part of the gene. If one is able to make a PCR product and the other is not, then you will know which one is causing problems.

Usually PCR machines will allow you to run a gradient of annealing temperatures. Make up a bunch of samples and run a PCR with one sample at each temperature across the gradient. Then run them out on a gel and note which temperature gives you proper bands.

I think that your Tm's are far too high. In the future I would recommend this Oligoanalyzer for looking at potential primers. I've just checked yours and the Tm is as low as 47 degrees for the forward primer. It's also useful for looking for hairpins and self dimers. Then one should put both primers in for a check for heterodimers. http://eu.idtdna.com/analyzer/Applications/OligoAnalyzer/

As noted by New England Biolabs, increasing the amount of bases on either side of the restriction sites will increase cleavage efficiency. Perhaps something to consider for next time: http://www.embl.de/pepcore/pepcore_services/cloning/pcr_strategy/primer_design/

Considering your conditions, it is the bast starting point and the procedure for the experiment.