Dariusz Lipiński

Assessment of the Accuracy of the Process of Ceramics Grinding with the Use of Fuzzy Interference

Grinding of ceramic materials is an expensive process considering the cost of abrasive tools and a relatively small machining efficiency. This paper presents methods to increase the use of the technological potential of automatic machining of ceramic materials with a concurrent control of the machining accuracy. A method of an assessment of the influence of process variables monitored on the accuracy of the sizes and shape of ceramic elements machined was presented. An application of fuzzy interference methods facilitated a creation of a universal algorithm to assess the accuracy of machining independent of the accepted parameters and machining conditions.

Modeling of Microhardness Profile in Nitriding Processes Using Artificial Neural Network

A artificial neural network was assigned to modeling of hardness profiles in the nitrided layer. In the model developed, a feed-forward neural network was applied. The designed network possesses good capacities to generalize knowledge included in experiential data. Matching the model with the training data made it possible to determine, with a good approximation, hardness profiles, which make up a set of verifying data.

System for Monitoring and Optimization of Micro- and Nano-Machining Processes Using Intelligent Voice and Visual Communication

The article describes a new concept of voice and visual communication between the human operator and a system for monitoring and optimization of processes of micro- and nano-machining. The remote system for monitoring and optimization of process quality, which is equipped with a speech interface and artificial intelligence, is presented in exemplary application in the precision grinding process. The developed concept proposes an architecture of the system equipped with a data analysis layer, process supervision layer, decision layer, communication subsystem by speech and natural language, and visual communication subsystem using voice descriptions. In the proposed system, computational intelligence methods allow for real-time data analysis of monitored processes, configuration of the system, process supervision and optimization based on the process features and quality models. The concept allows for the development of universal and elastic systems which are independent of a type of manufacturing process, machining parameters and conditions. The developed block structure of the system allows for applications in monitoring of many other processes of micro- and nano-machining.

Interactive Hybrid Systems for Monitoring and Optimization of Micro- and Nano-machining Processes

The article describes a new concept of interactive hybrid systems for monitoring and optimization of micro- and nano-machining processes, which are equipped with voice and visual communication between the human operator and the system. These remote systems contain a speech interface and artificial intelligence. They are presented in exemplary application in the precision grinding process. The developed concept proposes an architecture of the systems equipped with a data analysis layer, process supervision layer, decision layer, communication subsystem by speech and natural language, and visual communication subsystem using voice descriptions. In the system, computational intelligence methods allow for real-time data analysis of monitored processes, configuration of the system, process supervision and optimization based on the process features and quality models. The concept allows for the development of universal and elastic systems which are independent of a type of manufacturing process, machining parameters and conditions.

Methods for modeling the active surface of grinding wheels

Szafraniec (filip.szafraniec@tu.koszalin.pl), dr inż. Dariusz Lipiński (dariusz.lipinski@tu.koszalin.pl) – Wydział Mechaniczny Politechniki Koszalińskiej W artykule przedstawiono różne metody generowania topografii powierzchni ściernicy oraz metodykę oceny zgodności modeli z powierzchnią narzędzi rzeczywistych – według tej metodyki decydujące są określone cechy dotyczące kształtu i położenia najwyższych wierzchołków powierzchni. Zwrócono uwagę na znaczenie postaci rozkładu wysokości wierzchołków ziaren, fragmentu funkcji gęstości prawdopodobieństwa odnoszącego się do wierzchołków najwyższych oraz autokorelacji położenia wierzchołków – najważniejszej cechy, która jednak często jest pomijana w modelach opisywanych w literaturze. SŁOWA KLUCZOWE: czynna powierzchnia ściernicy, model czynnej powierzchni ściernicy, weryfikacja modelu ściernicy

Intelligent Monitoring and Optimization of Micro- and Nano-Machining Processes

The article describes an innovative concept of intelligent systems for monitoring and optimization of micro- and nano-machining processes, which are equipped with a speech interface and artificial intelligence. The developed concept proposes an architecture of the systems equipped with a data analysis layer, process supervision layer, decision layer, communication subsystem by speech and natural language, and visual communication subsystem using voice descriptions. The implemented computational intelligence methods allow for real-time data analysis of monitored processes, configuration of the system, process supervision and optimization based on the process features and quality models. The modern concept allows for the development of universal and intelligent systems which are independent of a type of manufacturing process, machining parameters and conditions.