Marek Macko

Approach to the Monitoring of Energy Consumption in Eco-grinder Based on ABC Optimization

This article is a part of the series dedicated to AI Methods Inspired by Nature and their implementation in the mechatronic systems. The Artificial Bee Colony (ABC) enables the optimization of the consumption of power supplied from photovoltaic cells. The paper includes a few implementations of ABC. Special emphasis was put on maintaining proper energetic balance, and on monitoring of power demand as well as energy sources used for the comminution. The ecological grinder was designed based on the autonomic unit. It can be called autonomous, because it does not need external control. The built-in computer system ensures monitoring and visualization of the current state of the energetic balance.

CAD/CAE Applications in Mill’s Design and Investigation

CAD/CAE are crucial in supporting structural design shredders, as well as the management of the acquisition test data. These tools, but also the AI has been used to search for the best solution of shredder. Implementations of this method and verification of shredding on many edges improve operational performance. Selected results and analysis have been verified with the results of the laboratory tests.

IMPLEMENTATION OF GENETIC ALGORITHMS INTO DEVELOPMENT OF MECHATRONIC MULTI-EDGE'S GRINDER DESIGN

Authors of the study propose the method aiming at determination of design properties of a multi-edge grinder. This method is based on a genetic algorithm and its purpose is to optimise the geometric shape of the cutting edges. The input data include population of individuals. Each individual is represented by a set of cutting disks. Whereas the fitness function was assumed as a combination of several postulates of the mechanical design foundations. Those postulates include mechanical, design and energy metrics. Each individual constitutes a complete solution of the disk set whereas the population represents the entire class of solutions. The fitness function of an individual is calculated as the fitness average of each disk supplemented by information describing the relationship between both disks and discs. The method for calculating function values was selected to ensure its maximisation in the process of evolution. Despite promising results of the genetic algorithms operation, one can consider improvement of the method efficiency. The authors used morphological operations in order to better adjust the method to the task. Results of the simulations were verified in laboratory conditions with positive effects.Copyright

The CutMAG as a New Hybrid Method for Multi-edge Grinder Design Optimisation

This article is a part of the series dedicated to AI Methods Inspired by Nature and their implementation in the mechatronic systems. The CutMAG algorithm uses hybrid approach to optimisation, i.e. a combination of classic genetic algorithms (GA) with morphologic optimisation (M) thus creating innovative approach to optimisation of cutting disk design (Cut) for the multi-edge grinder. The input data include population of individuals. Each individual is represented by a set of cutting disks. Whereas the fitness function was assumed as a combination of several postulates of the mechanical design foundations. The method includes mechanical, design and energy aspects. Each individual constitutes a complete solution of the disk set whereas the population represents the entire class of solutions. The fitness function of an individual is calculated as the average fitness of each disk supplemented by information describing the relationship between both adjacent disks. The method for calculation of function values was selected so as to ensure its maximisation in the process of evolution. Although promising results of the genetic algorithms operation were achieved, one can consider further improvement of the method efficiency. The authors used morphological operations in order to better adopt the method to the task.

Repository of images for reverse engineering and medical simulation purposes

Novel technologies such as 3D printing (additive manufacturing), 3D scanning and reverse engineering may significantly improve application of the principles of medicine in current clinical practice. This paper aims at presentation of the own concept of the repository of medical images based on 3D printing and reverse engineering technology. The proposed concept of the repository can constitute a beginning of the novel family of commercial techniques needed for development and optimization of reverse engineering toward printing the fully clinically functional solutions.

Repository of 3D images for education and everyday clinical practice purposes

Abstract Novel, easy-automation technologies such as three-dimensional (3D) printing and reverse engineering can improve the training of medical and allied health professionals and everyday clinical practice. This paper aims at the presentation of its own concept of the repository of medical images for education and everyday clinical practice purposes. Presented concept of the repository constitutes a relatively novel solution, but its further development may lead to the novel family of commercial initiatives aiming at joining common efforts toward optimization of 3D-based technologies in everyday clinical practice and online e-learning system.

The Method of Artificial Organs Fabrication Based on Reverse Engineering in Medicine

The paper presents the concept and implementation of innovative methods of producing artificial organs and prosthesis based on 3D printing technology. These organs possess physical and mechanical properties similar to human organs and bodies part. As a result, using such organs, it is possible to conduct training and workshops, especially in the field of urological surgery, under the conditions close to real operations. Due to the fabrication of 3D models can also lead so-called pre-operations in order to better prepare surgeons to carry out complex operations and post-operation e.g. observers proper operation. The proposed method enables the production of artificial human organs whose consistency, plastic properties, hardness, elasticity are close to the real organ of specific patient, because it can be made on the basis of the data from MRI and CT. The process of preparing 3D geometry is prepared in applications in the field of CAD, but also through advanced applications designed for editing in vector geometry environment.