1.

Modelling of a production process in Kolektor KFH: selection of influential parameters and model identification

The report presents the analysis of a production data that were acquired on the moulding process in company Kolektor KFH. The main problem tackled in the report is how to identify those process parameters, which have the strongest influence on the final product quality. Statistical analysis of historical production data has been applied, where correlation among the process parameters and final product quality is being sought. A model was identified on the basis of a reduced set of process parameters. The acquired model describes the relation among the process parameters and final product quality.

F.04 Increase of the technological level

COBISS.SI-ID: 25669671

2.

System for data acquisition and production monitoring

This document describes the project requirements and describes solutions of the problem of the acquisition of production data by means of the terminals and directly on the machines. The functionalities of the underlying software are described. The system will allow acquisition of all relevant data and determination of the process model.

F.04 Increase of the technological level

COBISS.SI-ID: 23538471

3.

Production control by means of neural models

Modern control of manufacturing systems acquire a huge amount of process data. The problem is how to extract informtation out of the data in order to provide useful support to the operators in achieving the required key performance indicators. The approach utilizing neural models has been elaborated and demonstrated on a complex simulated process.

F.01 Acquisition of new practical knowledge, information and skills

COBISS.SI-ID: 24594215

4.

Analysing the relationship between process parameters and product quality

In order to find the relationship between the process parameters and product quality the logistic regression was applied. The problem was strong correlation between the parameters of the input raw materials. Possible solution of the problem is suggested by adopting the Principal Component Analysis.

D.09 Tutoring for postgraduate students

COBISS.SI-ID: 246735616

5.

Dedicated interface module for Arburg extruding machine

The module is aimed to data acquisition from the extruding machine manufactured by Arburg. The module allows for the communication with the controller embedded in the machine and data transfer form the machine to the supervisory system. The underlying software has been written in a way allowing high degree of configurability of the data transfer.

F.04 Increase of the technological level

COBISS.SI-ID: 24647463