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# Design Optimization - Science topic

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Questions related to Design Optimization

Hello everyone,

I would like to investigate three factors using a central composite design.

Each factor has 5 levels (+1 and -1, 2 axial points and 1 center point).

I chose my high and low levels (+ and -1) based on a screening DoE I did previously using the same factors.

I chose an alpha of 1.681 for the axial points because I would like my model to be rotatable. However, for one of the three factors, one of the axial points is outside the feasable range (negative CaCl concentration....). I thought of increasing my low level for this factor to avoid this. Lets say, increasing the value from 0.05 to 0.1 to avoid reaching the negative range with the axial point, but I was wondering, if this would effect the reliablity of my model?

Another option would be to change the design to one that has no axial points outside the design points. However, this is actually my area of interest.

Can anyone help?

What are your suggestions for innovative application and development in the field of Reliability-Based Design Optimization?

I want to optimize the synthesis of nanoparticles using DOE.

My system is: lipid A and lipid B (total mass of two lipids stays the same), surfactant and water.

Which DOE should I choose?

- Mixture - to make two lipids as a Mixture A and surfactant and water as a Mixture B?
- Combined - to make two lipids as a Mixture A and surfactant as a numeric factor (not mentioning water here)

Just to be clear. Total mass of lipids does not change, only the ratio. Then I want to check different masses of surfactant (w/w surfactant/total lipids mass). Water is added, so total mass of sample is constant.

This is for multivariate optimization in dispersive liquid liquid microextraction

For example :

structures & aerodynamics disciplines.Objective functions: weight, wing displacement and aerodynamic coefficient.

I'm working on some optimal strategies for an environmental surveillance network. My solution is almost based on the meta-heuristic solution. I have to know what the advantages or disadvantages are of heuristic and meta-heuristic optimizations.

I am using Optimizations techniques for my research work on demand response. To deal with uncertain parameters and variables stochastic and robust optimization are used. I wanted to learn these techniques and subsequently implement in my research work. What are the good books and optimization softwares to start with?

I am interested in the optimal weight design of a gear train problem using optimization methods. There are a variety of studies on this topic. One of them is "A Solution Method for Optimal Weight Design Problem of the Gear Using Genetic Algorithms" by Takao YOKOTA et al. The objective funticon and constraints are described as same formulations in not only the study of Yokota et al. but also the later studies. Nevertheless, I cannot find any detail about two terms. The former one is "b

_{5}" mentioned in the constraint "g_{5}". g_{5}is defined as the distance between the axes. The latter one is "l" mentioned in the objective function. "l" is defined as length of boss.Could you inform me about these terms. Do the terms stand for a formulation or a constant value.

Dear researchers,

I am coupling Design Optimization with ANSYS Fluent in Workbench 2020 R2. I can do the analysis. I am patching the initial Temperature values of the zones. However, the patch only works in the first project run. In the next runs, the patch is not run as it should, so the initial temperatures are not correctly assigned to my models' zones. How can I permanently initialize the flow field or automate the initialization process to run in the beginning of each run?

I thank you in advance,

Best regards,

Hugo Silva

I have simulated a linear motor structure in the Maxwell software environment (version 16). The results are correct in the non-excitation state, but the results are not correct in the current excitation state. Can anyone tell me where the problem is? The simulation files are attached below.

reference paper:" Design Optimization and Performance Comparison of Two
Linear Motor Topologies With PM-Less Tracks "

If one has do to some really complex shape optimization for the external aerodynamic problems . Is the adjoint solver has the enough capabilities to do the job without having command on MRF add on in Ansys Fluent .

(

**Proposal**) Oil Refinery Production: What is the company's goal?----------------

[

**Purpose**: get Engineers & Scientists thinking outside their box ... think -large- problems. What's possible today vs. needs for tomorrow?]**Question**: Are you interested in increasing your sales income by several orders of magnitude? Are you willing to think outside the box? If so, please read on. This is a large proposal, the size of NASA's Apollo Space program back in the early 1960s.

A new level of Computers and Software will be required for this Oil Production proposal. Today's Computers are Algebraic, i.e. bare bones, conceived designs that run similar to a 'model T' car. They 'run' along at a '30 mph' clip. We need fast super Computers like the Wright Brothers 'Airplane' that can run at a '3,000 mph' clip. These super Computers need '

**Automatic Differentiation**' based technologies; i.e. smart thinking abilities. NASA realized this when starting the Apollo space program; spent tons to get it and put us on the moon.---

📷

Oil production depends on many factors; e.g. Supply, Demand, present inventory, etc. An oil company may have many refineries with many distillation units. How can a company simulate extracting products 'a', 'b', and 'c' from its crude oil? Assume the company wants product 'a' on the west coast, 'b' in the middle of US, and 'c' on the east coast. Assume the company has refineries 'x' on west coast, 'y' in middle US, and 'z' on east coast. How does one model such a company's oil production so as to produce/refine the 'right' amounts of each product at each refinery site in order to meet the company's goal of maximizing profits?

*Partial Differential Equations*(PDEs) will be used to model the crude oil distillation for each distillation unit at each site; i.e. many PDEs must be solved at once! Are there computers large enough to handle such problems today? Are there plans for some super computer that will be able to handle many (1,000s) PDEs at once?

With maintenance of distillation units being continual, e.g. fix one, stop another, this will be a constant problem when trying to simulate the next day's crude oil work load. For example, assume a company has 600 distillation units overall. That means a computer program would be required to solve 600 PDEs ASAP; i.e. 10 hours of PDEs. My past experience with modeling in

**FortranCalculus**™ language/compiler, I was taught that a modeling requiring 'Tmod' time to execute the model, would require around 2'Tmod' time for the optimal solution. That would then get us into the 20 hr. time range for 600 PDEs. Too long! Need faster computers and solvers to get into reasonable solution times. Ideas how this could be done today? For more, visit http://fortrancalculus.info/apps/fc-compiler.html ... Solves Algebraic Equations through Ordinary Differential Equations.Many people thought that the Wright Brother's idea of an 'airplane' would never fly. But, what if it did? What if Oil sales income doubled or more? Would crude oil prices increase? (Everyone is going to want more for their piece of the pie, right?) How would this effect your company?

John D Rockefeller was quoted saying, "If you want to succeed you should strike out on new paths, rather than travel the worn paths of accepted success."

*Any future John D Rockefeller's reading this proposal?*Are you interested in increasing your company profits by several orders of magnitude? Does your company have a company goal or objective that all employees know about and follow? If so, continue reading on this proposal by reading my article "Company Goal: Increase Productivity?" (a dozen pages). Go to web page eBook on Engineering Design Optimization using Calculus level Methods, A Casebook Approach and click on the 'download' link, its free!

Between full factorial desgin and central composite design, which one gives optimum result when dealing with design of experiment?

**Which book is the best for designing a single phase induction motor for an industrial application or research paper which shows best efficiency optimization techniques.**

**Please share the link.**

**Thanks**

**Did any one work on reliability based optimal design of strcutural problems such as concrete structures and steel structures ?**

I need a co-author who has experiences in the

**reliability based optimal design**so that we could work on an optimization subject combined with finite element analysis in a paper.Hi, I am using four input variables for my process to maximise the yield(output). I want to get optimum point of variables through the integration of ANN and GA. Experiments are designed by central composite design. How can i integrate both of these?

I have a structural component in Abaqus and I would like to optimize the shape. Please, how can I implement shape optimization in Abaqus?

i have designed PCF-SPR sensor with two dual coating of plasmonic material( Ag/ITO) and numerically investigate the performance in term of confinement loss and wavelength sensitivity.

is it possible to optimize design (dimension,shape optimization)in COMSOL multiphysics software?.

kindly share the link related to optimisation of PCF-SPR sensor.

suggest optimization method used for property optimization of liquid bio fuel mixture for designing optimized liquid bio fuel for diesel fired boiler

I need to set up structural shape optimization of an engineering component in MATLAB. I need:

1. A matlab code for structural shape optimization

2. An access to the procedure for writing the code in MATLAB.

Thank you.

Hi,

I am writing an assignment within one of my courses within my MSc. The course is named "Supply Chain Design and Optimisation", and the assignment requires us to find a good example of an organization using a locational strategy, in relation to where they should locate their manufacturing or warehousing hubs.

It seems like many of the papers that are publishing these types of research, are anonymizing the names of the companies.

I would really much appreciate if someone have any tips.

Thank you,

Martine Foerde

MSc Student, Logistics and Supply Chain Management

Almost all the optimization algorithms considers Function Evaluations to compare performance among various algorithms.

Do Function Evaluations number is the most important criteria? If yes/no why?

I have a signal, and I want to add a plateau (Flattening) in my signal where ever I find local maxima.

**What I am Doing:**

I have 2 signals. 1st Reference and 2nd Measured Signal from Sensor. (I have taken 6 different measurement signals from 1 sensor).

The measured signals have delay, offset, flattening in it.

I want to make my reference signal to look alike my measured signal by putting delay, offset and flattening in signal to fulfill my needs.

I have done with delay and offset. The only problem I am facing is in Flattening.

To do flattening in my original signal I have observed that at every local maxima I have got flattening in signal and in every measurement flattening it is different.

So I want to make my signal flat at every local maxima.

**Y axis: Height of flattening (I want to control the height of flattening at y axis)**

Means I want to make a loop which contains varying values of flattening at y axis e.g In first attempt I want to give flattening of 0.1 then in 2nd attempt want to give flattening to al local maximas of 0.2 and observe their effect.

In short when I have local maxima so I want to give a flattening of (locs – 0.1) in the maxima on y axis. Means if I am getting peak at 5 so I want to give flattening at (5-0.1) at 4.9.

Then in 2nd loop want to check the effect of (locs-0.2) in the local maxima on y-axis.

Want to apply loop for values from 0.1 to 0.9.

**X-axis: Width of flattening (I want to change the width of flattening)**

Means I want to observe the effect of change in width of flattening by giving a range of values. This can be done by the help of loop.

In short when I have local maxima so I want to give a flattening width of 0.1 in the maxima on x axis.

Then in 2nd loop want to check the effect of 0.2 width change in the local maxima on x-axis.

Want to apply loop for values on x axis also for certain range.

**Original Data Details :**

In my original data x axis contains values in decimals so don’t want to interpolate data.

In my original data y axis also contains values in decimals.

size of my real data is 1x1666520.

**Window effect:**

The window is just to observe the behavior of change occurred at place of maxima means like if width of flattening is 0.1 so window is about 0.2.

I am sorry I remained unable to provide a good example data that explains exactly my situation in MATLAB so I have attached a handmade sketch.

I hope that I remained capable enough to make my question clear.

Below are the attached figures for explanation of flattening and How my Original signal looks like.

I am using MATLAB platform .

I am also attaching a rough example code on random data just to explain the concept though it is not mature enough and not correct but it will provide an idea what i have done uptill now to achieve the results.

t = 1:0.1:25 ;

A = [1 0 1 2 3 5 0 1 0 0 0 2 3 6 7 0 0 8 0 1 1 2 3 4 2];

[pks,locs] = findpeaks(A)

% A(A>locs)=locs

win1 = hamming(numel(A))';

xw1 = win1.*A;

figure

plot(t,A,'b')

A(locs+1) = A(locs);

A(locs-1) = A(locs);

hold all;plot(t,A,'r');

This is just my approach towards solving the problem which is just ok . If someone has a different approach so please share.

Thanks a lot in advance for your time and valuable and mature comments.

I am doing

**low-velocity impact**analysis in order to obtain**optimized shape for the vehicle's bumper beam**, the bumper's element is Shell and also has a Non-Linear material. Please find the attached file.I want to measure the straightness of a line (Geometric Dimensioning & Tolerancing), which is represented by a pointset in 2D.

I build the convex hull of the pointset and calculate the "minimum width" of the convex hull, which is my estimation of the straightness of the line.

From measurement error, I have white noise on my pointset. By using the convex hull algorithm, I have a bias on my straightness-estimation - I systematically overestimate the straightness of the line.

Is there a method to minimize this bias for a given pointset?

Thanks in advance.

Philipp

I wish to simulate a simple cuboid of biological tissue, under compressive loading, obtain the stress/strain or force displacement curve, then recreate the same compressive loading model, however using artificial polymer material properties. I then need to optimise the topology of the 'polymer cuboid' so it reacts in the same way as the hyperelastic biological tissue sample. Is this possible, using the optimisation design response and objective functions in abaqus? Any help is much appreciated.

does Matlab R2014a support nonlinear constraint in multi objective optimization using optimization toolbox?

Thank you

I have a set of responses obtained using a Taguchi L9 array. Is it possible to optimise these factors using Response Surface Methodology

Dear Sir,

I am student of B.tech electrical engineering of Nirma University in final semester. I am doing my major project in which I am developing the code for BLDC motor design using particle swarm optimization.

I am making single objective multi-variable code for motor design, in this i am facing issue in calling multi-variable function. Can you show me the syntax of calling multi-variable function in PSO initialization?

Dear Sir,

I am student of B.tech electrical engineering of Nirma University in final semester. I am doing my major project in which I am developing the code for BLDC motor design using particle swarm optimization.

I am making single objective multi-variable code for motor design, in this i am facing issue in calling multi-variable function. Can you show me the syntax of calling multi-variable function in PSO initialization?

I applied two controllers with different gains to 2-DOF model for a period (t). Each controller is applied for sample period t1=0.5*t. I want to switch between these two controllers in order to minimize certain fitness function (sum of square errors).

Example: I want to give GA initial conditions to run these controllers on the model like [1,0]. Where [1] refer to controller no.1 and [0] refer to controller no.2. I want from GA to minimize the fitness function and then it automatically change the sequence of this controller and so on.

How can I switch between controllers using GA?

Hint: I use MATLAB in programming.

The idea is to allow construction contractors to propose alternative pavement designs that optimize individual means and methods to enhance highway project constructability.

I would like to optimize the inspection and maintenance process in buildings, taking into account the future effects of climate change in their degradation. I mean, I would like to decrease the costs of them procedures, apply the suitable techniques in the accurate time, and increase the lifespan of the elements of the building rehabilitated.

I am working on parameter optimization of machine tools. I wish to use the response optimizer function in Minitab. I have used Taguchi L27 methodology to design the experiments and performed ANOA analysis. I want to learn the mathematics used for the response optimizer function in Minitab16

1. Recent or existing optimisation techniques which is applied to optimisation of thermal systems.

2. Recent optimisation tools used in thermal engineering applications.

One major different between high thrust and low thrust trajectories are the thrust profiles for each of their propulsion systems.

For example in an orbit transfer using a solid rocket, the thrust profile is almost fixed and known with a predefined variation (neutral, progressive or regressive) and it is impossible to change the magnitude of the thrust during the burn time.

However, according to the literatures, it is possible to have variable thrust magnitude during the transfer in low thrust propulsion system.

I have read so many papers about low thrust trajectory design and optimization in different journals. Most of them contain profiles of thrust vector and its magnitude. The authors claim that they have found an “optimal” thrust variation that makes a trajectory which transfers the spacecraft from one orbit to another. We can find so many papers in which the transfer trajectory is modeled using

**Fourier series**,**Chebyshev polynomials**or different kind of mathematical functions.My question is:

**“Are these thrust variations truly achievable in a real space mission?”**

**“Are low thrust propulsion systems nowadays capable of providing such thrust profiles?”**

If yes then:

**“How much thrust variation (Newton per second) is allowed in a low thrust trajectory?”**

I already know that the limit of thrust magnitude can be up to 1 Newton typically in low thrust transfers. Please note that my question is about “the variation (the rate of increment or reduction)”, not the limit of the thrust profile.

I would appreciate if you answer with references.

Thanks in advance

I would like to write a multi objective function for optimizing several variables. However, I would like only certain objective functions effect certain optimization variables. For example, for a multi objective function of F = [f1 f2 f3] and optimization variables x = [x1 x2 x3], I would like x1 to be effected by f1 but not f2 or f3 etc. Optimization of all the variables should be performed together and I cannot assume that x2 and x3 for example are constant while I optimize for x1 . Is there an optimization algorithm that can handle this problem?

Thanks,

Hi,

My research is about revenue management on parking reservation system, especially in advance reservation system. In online reservation system, the parking management must make a decision immediately when a request is coming. so, I want to design an optimal policy for accepting or rejecting a request to a parking space base on user choice. By this decision, the system will assign the booking to available space based on customer choice. I have learned the basic policy such as First come first serve (FCFS) but it is not optimal policy to make an optimal utilization. the another method is using the opportunity cost matrix of losing more valuable booking request in the future. This method has some improvement of the FCFS method but it is not significant.

Do you have any idea?

For my research work, i need to solve tri-objective (three objectives) design optimization of machine elements like gear, spring, bearing etc using NSGA-II.

suggest me any case study already solved by some other methods or idea for formulating a new case study?

Though we know that metallurgical, structural and mechanical changes occur due to machining that can alter the properties of the product, we still rely on those who assume that a high removal rate at low tool wear is the key to success and design optimization. What about the thermomechanical changes that might cause slow or fast degradation ? Must productivity take a back seat in favour of understanding structural and thermomechanical changes that degrade a machined product, though machining parameter optimization was carried out with out any regard for these?

I want to define a load in Ansys in specific location on an area of solid body. For this I need to have a node on that location. Using meshing tool, the mesh locate the nodes in arbitrary place on an area or volume which disable me to exert force in specific location.

I was asked to optimize plant genomic DNA extraction protocol for

*Falcataria**moluccana*or locally known as batai. I have no idea how to start optimizing the extraction protocol. What i have in mind at the moment is to use CTAB method by Doyle & Doyle first, using it as a control to see how is the quality of the DNA will be. From there, I am not quite sure on which reagents i should optimize, like what is the optimum concentration i should use and the period of incubation for these reagents with the sample i used.Are there any suggestions on what i should do next? Or any ideas on how to design an optimization extraction protocol?

I'm used to work with @Risk and Crystal Ball. As I don't have those tools available I would like to apply the BERT add on to EXCEL in order to do Monter Carlo analysis. These analysis include design optimization and Gantt Charts.

There is a lot of packages and I would like to know the experience of thes in conjunction with the BERT Excel add on.

Generally, there is special GA used for HFSS design optimization. my question is:

How we can use our prevate algorithme in the optimization using HFSS.

Thanks in advance

I am beginner in the field of optimisation. I want to apply an optimisation algorithm for maxiimising the efficiency of brushless motor. But I dont have license module for coupling between MATLAB and FEA software. In what way can I implement optimisation.

Please help me by giving your answers

I now do the work of shape optimization by isogeometric analysi , but I need the area or volume constraints, how can I get these? Is the area surrounded by the control points?But I think this method is not very accurate.Beg your answer!Thank you very much!

I find many strange problems in using ultra-low noise operational amplifier. It's very difficult to keep it in stable condition. The power supply is carefully designed and optimized. And everything is realized according to suggestions given in datasheet. I can't get noise performance given by ADA4898's datasheet.

i am working on textile dyes' degradation for which i have to optimize different process parameters (atleast 8 factors). I have reviewed the literature and found both of these designs in different papers but mostly central composite design is used.

Can anyone plz suggest me which one of these is the best and do i also need to carry out the single factor experiments as its reported that more than 4-5 factors cannot be studied using these designs?

After forming, the yield strength will change due to strain hardeneing. So how can I calculate the change in yield strength of the component after it has been formed. I have done forming simulation in lsdyna.

**This question is based on the forming simulation, the component is not manually tested.**Will the ultimate strength also change? If so how can I calculate it? I need to give the yield strength and uts as input for fatigue analysis. Kindly help me with this.In physical design optimization of data path having multiple cycle clock are avoided...why it so? Is multiple cycle path do not create timing issues while physical timing analysis?

Multiplication by a constant (C.X) is a fundamental operation in the linear time invariant (LTI) Systems. The design optimization of C.X leads to the design optimization of the whole system (from a circuit point of view speed/power/area). We proved in a previous work that for an N-bit constant, the upper-bound is equal to (N+1)/r+2^(r-2)-2, where r=2.W[((N+1).log(2))^0.5]/log(2) and W is the Lambert function. I am looking in the literature for a lower bound. This could be available in pure or applied mathematics journals rather than in circuit journals.

In source localization applications, the geometry of the sensor array greatly affect the time delay estimates which are used to localize a source. I could not find comprehensive literature on this topic. Can anybody provide references for the optimization of array geometry to minimize the error in time delay estimation? Also references about methods to adaptively control the array geometry to optimize it for adaptive applications are needed.

I am working on automated assembly feasibility testing for which I need to obtain part bounding box coordinates from CATIA V5 for a 3D CAD model. Assuming a minimum axis aligned bounding box (Smallest cuboid in which a part is placed); The lowest and highest x, y, z coordinates are need to be obtained.

For example

To obtain "arbitrarily oriented minimum bounding box co ordinate values" - measure inertia option can be directly used. similarly any direct or indirect way to obtain "axis aligned bounding box co ordinate values"?

I am studying the association of certain SNP with a specific disease, and due to several reasons I will use PCR-RFLP method for SNP genotyping, now I have two options:

a- To design and optimize my own PCR-RFLP method .

b- Or use previously optimized method

Which option is good for my research originality?

Thank a lot

It should either be on the design and optimization pyrolysis machine or a pyrolysis system.

I have doubts, because the experiments designs have treatment combinations that are at the midpoints of the edges of the experimental space and require at least three factors. When I try to optimize them by using RSM (Box Behnken) the Y1 is not significant due to the lack of fit is significant, Prob>F is lower than 0.05 (it should be linear as when conducting linear model the model is significant and the lack of fit is significant too) however the Y2 developed in RSM is not significant due to the lack of fit is significant (Prob>F is higher 0.05) but the interaction is significant to 10 %.

Hello! Sorry for my english.

I'm trying to simulate on Matlab using "m code" a time optimization problem for a non-linear system. I want to lead my system from my initial conditions to my final conditions(BPV) on the minimum time. Do you have any idea how to do that? or any example, or something?

My first problem it's because I already know initial conditions and final conditions of my system, but my initial conditions for my co-state of Hamilton equations are were unaware and final time too. I attached my problem.

Thank you so much in advance.

Arturo Gil

What investigation has been made in strength design optimization of a RC section subjected to combined compression and biaxial bending?

I want to optimize four carbon and nitrogen sources along with pH, Temp, incubation time and size of inoculum. I am using design expert version 9. Is there any option through which all of these can be optimized at one time. Kindly help me with this.

Step by step procedure to apply GA using SciLab for design optimization.

Currently I am working on a summer project for weight reduction of an component using LS-OPT tool.i need to understand the basic step by step process,how it creates response surface?on what basis? how it works on background?how to find out metamodel is accurate?pls help me out, thank you

Can anyone help me clear my doubts by giving an example?

As per current ICH guidelines, Q8R2 is the current demand of the pharmaceutical formulation development to implement Quality By Design in the pharma industry. Therefore, the chemists and scientists should have the knowledge of QbD. However, academics show the least amount of interest.

There are many ways in which optimization has been done and decrease the number of transistors in the design. Some such trends follow a certain pattern or follow a law. Please suggest me an article that describes this topic.