This study aims to develop in-house software for data visualization program using Python programming language. Implement a simple algorithm and use the matplotlib library for 2D plotting. The results of development of this program were tested using a dataset from random motion simulation results of many particles modeled by two-dimensional circle shape and the diameter size as D. Data visualization in the form of particles configuration then confirmed with the particles configuration of the simulation results. Based on the test, it is found that the particles configuration results of the visualization are same as the configuration of the simulated particles. This shows that the data visualization program that has been developed can be used to process other data stored in a predetermined data format.

Two floating object interact each other in a certain time when the initial separation distance of them is not greather than the radius. This interaction is caused by asymmetric deformation in the liquid-air boundary plane due to contact with spherical particles. Asymmetric deformation plane of the liquid-air boundary between the two spheres and outside the sphere results an attractive force. This force is experienced by two balls that interact in a certain period of time until they come close to each other and after contact they will bond and difficult to escape. The position of each ball is observed using a video camera with 25 fps specifications and processed using Python and OpenCV and obtained data on the position of the center of mass of the system at any time until both are in contact. From the equation of position to time, the acceleration value of the ball is obtained, so that the magnitude of the attractive force can be known. The attractive force of the object is varied with the density of the object.

This study aims to develop in-house software for data visualization program using Python programming language. Implement a simple algorithm and use the matplotlib library for 2D plotting. The results of development of this program were tested using a dataset from random motion simulation results of many particles modeled by two-dimensional circle shape and the diameter size as D. Data visualization in the form of particles configuration then confirmed with the particles configuration of the simulation results. Based on the test, it is found that the particles configuration results of the visualization are same as the configuration of the simulated particles. This shows that the data visualization program that has been developed can be used to process other data stored in a predetermined data format.

Understanding particle size analysis is essential for pharmaceutical, mining, environmental, coatings, and other industries. Although there are numerous technologies that can be utilized to take particle size measurements, the results of those measurements are presented automatically and are sometimes difficult to understand. In this study, using the ray-tracing method, simple qualitative modelling of particle size analysers can be developed. The laser is positioned as the initial position of the light source in x and y directions. The cell is pictured by cuvettes with four surfaces clear, and the particle is modelled as a sphere. Reflection of a single ray of the laser beam on many spheres can be performed using single ray reflection on a single sphere consecutively until the beam leaving the observation region or arriving at a light sensor. Then with vector formulation of ray direction after reflection on many spheres system n ^ r we can define n ^ r , n = n ^ i , n − 1 − 2 ( n ^ i , n − 1 . n ^ p , n ) n ^ p , n with n = 1,2,3,… where n ^ r , 0 = n ^ i . As a test of the particle size analysis model, the results are compared with measurements of the monodisperse polystyrene latex. Interesting patterns in FFT and autocorrelation function results are found. Unfortunately, this finding is still considered inconclusive, due to the pattern obtained is not completely like the experimental results.