OrcaFlex Automation with Python

This course focuses on the OrcaFlex programming interface, OrcFxAPI, using Python.

For more info, please contact us:

Contact details

To contact us, you can send a message to either of the contact details provided below:

Telegram ID: orcaflex1

WhatsApp: +60 19-735 9251

Email: matt.mosafer[AT]gmail.com

OFFPIPE Training

What is OFFPIPE software?

OFFPIPE is a sophisticated software for engineers working in the offshore pipeline sector. It has been developed specifically for the modeling and structural analysis of problems encountered in the installation and operation of offshore pipelines.

Registration for OFFPIPE training course

You can pre-register for this course now. For this purpose, please contact us.

The Syllabus of the Course

Click on the following link to download the syllabus of the course:

OFFPIPE Training Syllabus

Duration and number of sessions

The total duration of the course is 9 hours, which is held in 5 days, each day a 2-hour session (12 minutes break in the middle of each session).

The Course tuition fee

Please contact us.

Course requirements

The participants must have a personal computer with installed AutoCAD and OFFPIPE software or its demo version. You can download the demo version here: OFFPIPE Demo

Special courses with customized topics

It is possible to held special courses customized according to the client specific topics. For more info, please contact us.

Contact details

To contact us, you can send a message to either of the contact details provided below:

Telegram ID: orcaflex1

WhatsApp: +60 19-735 9251

Email: matt.mosafer[AT]gmail.com

OrcaFlex Beyond Training

What is OrcaFlex software?

OrcaFlex is a specialized software for engineers working in the oil and gas sector and offshore industries. This software is a comprehensive and powerful visual software for modeling and dynamic analysis of offshore structures. With this software, you can model and analyze almost all types of naval operations.

Registration Deadline for Orcaflex Beyond training course with exceptional offer

You have the opportunity to register for this course until the end of May 2022.

The next course will be held in the mid-July 2022.

For pre-registration, please contact us.

The Syllabus of the Course

The course consisted of the regular Open Training syllabus of the Orcina (bellow link), the owner and developer of Orcaflex software + more in-depth description of the math, codes, and experiences from the real projects.

OrcaFlex Open Training Syllabus-v11.2

Duration and number of sessions

The total duration of the course is 15 hours, which is held in 8 days, each day a 2-hour session (7 minutes break in the middle of each session).

The Course tuition fee

Please contact us.

Course requirements

The participants must have a personal computer with installed Excel and OrcaFlex software or its demo. You can download the demo version here: OrcaFlexDemo

Special courses with customized topics

It is possible to held special courses customized according to the client specific topics. For more info, please contact us.

Contact details

To contact us, you can send a message to either of the contact details provided below:

Telegram ID: orcaflex1

WhatsApp: +60 19-735 9251

Email: matt.mosafer[AT]gmail.com

OrcaFlex Video Export | XVID Codec

In this video I have shown how to export and save the results of OrcaFlex dynamic analysis as a video.

It also shows how to solve the following issue you might face during the video exporting:
A suitable compressor cannot be found. Please check that the XVID codec is correctly installed. (Error code: 80044071)

Automated Mosaic Art using Matrix of Rubik’s Cube with MATLAB

Rob-Rubik (Rubik’s Cube based Robotic application)

The project execution is largely into 2 phases, the first is image processing and Rubik’s cube manipulation.

This post is just for first phase of the project.

 

Image processing

In this project the colours on the Rubik’s cube are what will be use and they are allocated to number as shown in the table

White	Red	Yellow	Green	Blue	orange
0	1	2	3	4	5

 

Achieving the task done with MATLAB.

A very close example on MATLAB. Followings are a sample of an input and output images of the MATLAB code:

The input image, Neon-Marble-Gaming, is downloaded from goodnews.com.my.

End result representation of image with numbers from 0-5.

MATLAB Code

120 EUR 

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Micro Genetic Algorithms

In order to speed-up the process of optimization with GA, we can change some of the properties and/or operations in GA. The methods which can be implemented in this way, are called Micro Genetic Algorithms (micro-GA).

For example, in a particular micro-GA, we can consider the following changes on GA:

- consider small population, e.g., 5 chromosomes, with random re-initialization

- ignore mutation step

- consider a simple and relaxed convergence criteria, e.g., once 95% of the bits of the chromosomes are similar to the best chromosome

- keep the best chromosome of each generation for next generation (elitism) once the population converged

Engineering Simulations and Computations

Particle Kinematics

The x and y positions of Particles 1, 2 and 3, which are measured in the time range of 0 to 2π seconds, are stored in File <A1_input.txt>.

                     Particle#1               Particle#2                 Particle#3 

                  ------------------          ------------------           ----------------- 

Time           x                y             x               y              x              y 

  (s)           (m)            (m)          (m)           (m)           (m)          (m) 

0.0000   +2.1909     0.0000   +2.6833     0.0000   +2.9665     0.0000 

0.0675   +2.1818   +0.1474   +2.6738   +0.1807   +2.9567   +0.1998 

0.1346   +2.1547   +0.2919   +2.6457   +0.3584   +2.9276   +0.3966 

.............................................................................................................

6.2157   +2.1818    -0.1474   +2.6738    -0.1807   +2.9567    -0.1998 

6.2832   +2.1909     0.0000    +2.6833     0.0000   +2.9665     0.0000 

The first column is used to store time, while columns 2k and 2k + 1 are used to store the corresponding x and y positions of Particle k, k = (1,2,3). For example, columns 2 and 3 contain the x and y values for the first particle (k = 1). The positions of the three particles are all periodic functions of time with a period of 2π. Your task is to find the velocities and accelerations of the three particles.

The mathematical relationships between the positions, velocities and accelerations of a particle are given by

vx = dx/dt, ax = dvx/dt, (1)
vy = dy/dt, ay = dvy/dt, (2)

where t is the time, vx and vy are the two components of the velocity vector, and ax and ay are the two components of the acceleration vector.
In this assignment, the following equations are to be used to estimate the velocities and accelerations of the particle:

vx1 = (x1 − xN−1)/(tN − tN−1), vy1 = (y1 − yN−1)/(tN − tN−1), (3)
ax1 = (vx1 − vxN−1)/(tN −tN−1), ay1 = (vy1 −vyN−1)/(tN − tN−1), (4)

for the first time point t1, and

vxi = (xi − xi−1)/(ti −ti−1), vyi = (yi − yi−1)/(ti −ti−1), (5)

axi = (vxi − vxi−1)/(ti −ti−1), ayi = (vyi − vyi−1)/(ti −ti−1), (6)

for the remaining time points ti, i = (2,3,···N), N is the number of time points in the data file. In equations (3)-(6), xi = x(ti) (value of function x(t) at time ti), yi = y(ti), vxi = vx(ti), vyi = vy(ti), axi = ax(ti) and ayi = ay(ti).

Requirements
For this assessment item, you must perform hand calculations:
1. Use equations (5)-(6) to calculate values of vx and ax at time points t5,t6,t7 and t8 for Particle 1. Report the answers in engineering conventional form.
2. From the equations used in Requirement 1, derive the following matrix systems (variables (unknowns to be found) on LHSs and numbers on RHSs)

vx = Dv.x, (7)

where x = (x4,x5,x6,x7,x8)T , vx = (vx5,vx6,vx7,vx8)T , T is the transpose operator and
Dv is the matrix of size 4-by-5 (called the differentiation matrix), and

ax = Da.vx, (8)

where vx = (vx4,vx5,vx6,vx7,vx8)T , ax = (ax5,ax6,ax7,ax8)T , and Da is the differentiation
matrix of size 4-by-5.
3. Compare Dv and Da (are they identical or different?), and explain the reasons for it.
You must also produce MATLAB code which:
4. Repeats Requirement 1, where the input data are entered into your Matlab program by typing/copying relevant values from the data file. Verify the answers by using the reported results from Requirement 1.
5. Loads the data file into Matlab (the numbers are not to appear in Matlab code via copy-and-paste!). Verifies that the load has been successful by using Matlab to compare the first (t = t1) and last (t = tN ) rows of the numerical data table to those manually entered.
Ensure that you don’t use absolute paths, e.g.
<C:\Users\User\My Documents\filename.txt>,
since that is not the folder in which your assignment will be marked. Use relative paths, e.g. <A1_input.txt>.
6. Plots the trajectories of the three particles on the same graph.
7. Uses equations (3)-(6) to compute vxi , vyi , axi , ayi for Particle 1, where the index i runs continuously from 1 to N (i.e. i = (1,2,··· ,N)) and the calculations are conducted in loops (scalar-/loop-based code). Verify the answers by comparing the results obtained at (t5,t6,t7,t8) with those from Requirement 4.
8. Uses equations (3)-(6) to compute vxi , vyi , axi , ayi for Particle 1, where the index i runs continuously from 1 to N (i.e. i = (1,2,··· ,N)), and the equations are first written in the following matrix forms

vx = Dv.x, (9)
vy = Dv.y, (10)
ax = Da.vx, (11)
ay = Da.vy, (12)

and the solutions are then obtained by multiplying matrices and vectors (vectorised code).
In systems (9)-(12), D is the N ×N differentiation matrix, and x, y, vx, vy, ax and ay
are vectors of length N,

x = (x1,x2,··· ,xN )T , y = (y1,y2,··· ,yN )T , (13)
vx = (vx1,vx2,··· ,vxN )T , vy = (vy1,vy2,··· ,vyN )T , (14)
ax = (ax1,ax2,··· ,axN )T , ay = (ay1,ay2,··· ,ayN )T . (15)

Verify the answers with those from Requirement 7.
9. Plots functions x(t), vx(t) and ax(t) on the same graph and check qualitatively the mathematical relationships between the three functions.
10. Plots functions y(t), vy(t) and ay(t) on the same graph and check qualitatively the mathematical relationships between the three functions.

11. Uses equations (3)-(6) to compute vxi , vyi , axi , ayi for the three particles, where the index i runs continuously from 1 to N (i.e. i = (1,2,··· ,N)) and the calculations are carried out without using loops. Note that this Requirement is independent from Requirements 7 and 8 (Particle 1 is also included in the program here). Verify the answers by comparing the results obtained for Particle 1 with those from Requirement 7.
12. Produces an ASCII file that stores the computed values of the x and y velocities at all time points (t1,t2,··· ,tN ) for the three particles (1 column for time and 6 columns for velocities), where the task of writing data is conducted in loops (loop-based code) and the numeric values are rounded to 3 significant figures.
13. Produces an ASCII file that stores the computed values of the x and y accelerations at all time points (t1,t2,··· ,tN ) for the three particles (1 column for time and 6 columns for accelerations), where the task of writing data is implemented without using loops (vectorised code) and the numeric values are rounded to the fourth decimal place.
14. Has appropriate comments throughout.

Report (Hand calculations + MATLAB code)

40 EUR 

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