Jože Balič

Intelligent tool path generation for milling of free surfaces using neural networks

Abstract The presented paper has an intention to show how with the help of Artificial Neural Network (ANN), the prediction of milling tool-path strategy could be made in order to establish which milling path strategy or their sequence will show the best results (will be the most appropriate) at free surface machining, according to set technological aim. In our case the best possible surface quality of machined surface was taken as the primary technological aim. Configuration of used Neural Network (NN) is presented, and the whole procedure is shown on an example of mould, for producing light switches. The verification of machined surface quality, according to average mean roughness, Ra, is also being done, and compared with the NN predicted results.

SELECTION OF CUTTING CONDITIONS AND TOOL FLOW IN FLEXIBLE MANUFACTURING SYSTEM

Abstract Modern production requires minimum costs and maximum productivity of cutting processes. By using the simultaneous engineering, it is possible to include the processes of optimization of cutting conditions and tool flow already in the integrated preparation of the product and processes and in the parallel program of all activities. This paper presents the experience gained in concrete researches in industry.

Organization of tool supply and determination of cutting conditions

Abstract The tool supply system is intended to feed the tools to metal-working machines taking into account the time, quantity, position and target and also the tool removal. As a matter of fact, it represents a subsystem of the superior tool system. For a trouble-free flow the following functions are needed: purchase, arrangement, readiness, pre-setting and maintenance. In this paper, a model is proposed for selection of optimal cutting conditions obtained from different data bases by taking into account the limitations of the cutting process. The developed model selects optimal cutting conditions with respect to the data on the workpiece, such as dimensions and required degree of surface roughness, the data on tool and the data on the machine tool.

Model of complex optimization of cutting conditions

Modern flexible production with its JUST-IN-TIME philosophy requires efficient organization, high quality tools, selected machining materials with defined mechanical and technological properties and continual determination and optimization of cutting conditions. Therefore, for successful production it is necessary to carry out a number of studies with the purpose to optimize the cutting conditions which should include understanding of tribological problems, the cutting material properties, cooling agent and its application. The rationality and economy of manufacturing which are a result of material and energy saving and shorter machining times, depend to a large extent on the right choice of selected cutting conditions and required product quality. This paper deals with the development of a model for complex optimization of cutting conditions showing that the right way from optimal cutting conditions to product quality is via process quality.

Deep drawing of tailored blanks without a blankholder

Abstract This paper describes experiments involving the deep drawing of tailored blanks without a blankholder. Four materials with very different forming properties were tested. A rough comparison is given between the production of MIG-welded blanks and laser-welded blanks. The properties of cups produced in this manner are described, and an FEM analysis of this procedure is presented.

Modeling of forming efficiency using genetic programming

This paper proposes new approach for modeling of various processes in metal-forming industry. As an example, we demonstrate the use of genetic programming (GP) for modeling of forming efficiency. The forming efficiency is a basis for determination of yield stress which is the fundamental characteristic of metallic materials. Several different genetically evolved models for forming efficiency on the basis of experimental data for learning were discovered. The obtained models (equations) differ in size, shape, complexity and precision of solutions. In one run out of many runs of our GP system the well-known equation of Siebel was obtained. This fact leads us to opinion that GP is a very powerful evolutionary optimization method appropriate not only for modeling of forming efficiency but also for modeling of many other processes in metal-forming industry.

Prediction of metal wire behavior using genetic programming

Abstract Dimensional stability of forming processes is becoming very important in the modern manufacture. It is particularly in mass manufacture that technological systems have to be most reliable and accurate. Growing market demands are pushing the manufacturing engineers towards process optimization in order to achieve high machinery efficiency and reduce manufacturing costs. Predicting the process behavior is an important precondition for having it improved. The paper presents the use of genetic programming for forecasting the wire geometry after forming. The obtained results are the basis for later optimization of forming processes.

Responding ability in dynamic production circumstances

Abstract The information flow in production environments mainly depends on the structure of a production database. A connection between the database and the production process is established using an interface based on the idea of a process matrix. The interface equipped with the genetic algorithms search technique gathers functions of process planning and scheduling into a common decision-making environment. Decisions usually consist of production scenario changes caused by disturbances of the production process. The reactions are mainly influenced by costs caused by momentary decisions. To keep these costs under the profitable border a condition criterion named the point of no return is introduced.

Početna analiza razvoja termalne lutke za uporabu u vodi i njezina proizvodnja iz punih blokova

Article presents the development and manufacture of a new generation of thermal manikins that can be used for testing different personal protective equipment as used under extreme environmental conditions. The demonstrated steps from the initial idea towards the final product were taken with the help of modern CAD/CAM tools and CNC manufacturing procedures. This article also presents some of the problems that occurred and had to be solved during the designing, manufacturing and assembly of the thermal manikin. Keywords:

Model of Automated Cutting Tool Flow in Flexible Manufacturing Systems

Abstract The paper describes the tool flow in flexible manufacturing systems. It defines the hardware and software model of the tool flow and the relation to the system of the cutting conditions. Such a tool management ensures the increase in productivity of flexible manufacturing systems.