#Latin hypercube sampling disadvantages software#

Regression EquationДЄ regression model is a type of statistical model based on which the value of a variable can be estimated based on changes in one or more input parameters This means that the effect of each of the input parameters or variables on an output parameter or variable can be obtained. The following figure shows the DOE types in the ANSYS Workbench software. Therefore, less effective parameters should be disabled, and if it is difficult to determine the less important parameters for disabling, parameter correlation systems should be used to select parameters with lower correlation. Now, if the number of input parameters exceeds the allowable limit, the message system will issue a warning to reduce the input parameters, in which case some of the input parameters must be disabled. For example, the Central Composite Design Method (CCD) has a limit of up to 20 input parameters, the BBD has a limit of up to 12 input parameters, the LHS and Optimal Space Design (OSF) has a limit of up to 20 input parameters. Hence, there are limitations in determining the number of input parameters. Therefore, it is recommended that each test environment production method use as few input parameters as possible. Naturally, the greater the number of defined input parameters, the more difficult the response levels can be to determine how much these input variables will affect the output parameters. Also, the number of input parameters or variables will affect the DOE and RSM method Increasing the number of defined input variables prolongs the production time of the DOE, and also makes it difficult to create an accurate response level, because the response levels depend on the relationship between the input variables and the output parameters. Naturally, the greater the number of production design points, the longer the solution process and the higher the computational cost But on the other hand, it can increase the accuracy of the optimization process. These methods in the ANSYS Workbench are as follow: In fact, each of these types of DOE, using its own method, shows the number of design points and the type of division of points. Several different methods are used to produce the DOE Thus, these methods determine the type of division of the change intervals for each of the input factors or parameters. In this example, there are four parameters as input or independent parameters as length, radius, input velocity, and heat flux on the wall, and two parameters as output parameters or dependent, including outlet temperature and pressure drop. The figure below shows an example of a table of design points of DOE. Therefore, the result obtained in each of the solutions indicates the simultaneous and reciprocal effect of these values of the input parameters or factors on the desired output parameters. In that row, each of the input parameters with a certain value is placed in the corresponding column and these parameters simultaneously perform the solution process. Then a set of these definition points or design points for each of these input parameters is placed in different rows of a table, each of the rows contains a solution process. The purpose of producing DOE is to divide the range of input factors or parameters into different values from the minimum value to the maximum value based on a certain pattern. The optimization process depends on several factors, such as the nature of the process itself and the solution methods. The optimization process is a set of steps taken to find the best possible response to the output of a process with the highest return and the lowest cost. Therefore, the purpose of DOE is, firstly, which input factors or parameters will have a significant impact on the output result or product of the process, and secondly, how much of these input factors or parameters should be used to achieve the desired output result or product. In fact, a set of different parameters that affect the outcome of a particular process is analyzed to obtain the best possible values for the production of an optimal product.

#Latin hypercube sampling disadvantages software#

Hydraulic Structures & Civil EngineeringДesign Of Experiment (DOE) Optimization process in ANSYS Workbench software DOEДOE is a set of measures that are performed using process modeling and related variables and lead to increased production efficiency.