Wyniki wyszukiwania - BazTech

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CAMSS 2016 – a new software for a computer aided selection of engineering materials

Jasionowski R.

Archives of Materials Science and Engineering

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2016

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Vol. 80, nr 1

37--41

EN

Purpose: The main purpose of the paper is to present Computer Aided Materials Selection Software 2016 (CAMSS 2016) program, as well as to show its potential applicability as a tool for the selection of engineering materials. Design/methodology/approach: The project assumed a formation of computer database of materials properties and a system for the selection of structural materials. The software should be useful in industry, research entities and universities. Research limitations/implications: The only limitation of CAMSS 2016 software comes from a minimum screen resolution. The software properly display all information (including phase diagrams) when at least 1280x720 screen resolution is applied. Practical implications: CAMSS 2016 includes information regarding chemical composition, physical and mechanical properties (at low and elevated temperature), and required conditions for thermomechanical processing. CAMSS 2016 may be also applied to: the identification of materials based on chemical composition of physical and mechanical properties, a material selection for particular applications or a selection of proper material substitute. Originality/value: CAMSS 2016 is one of the few available computer programs joining two basic functions: engineering and educational.

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Modelling of the manufacturing system objects interactions

Madejski J.

Journal of Achievements in Materials and Manufacturing Engineering

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2007

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Vol. 24, nr 2

167-170

EN

Purpose: Modelling of the agent based systems is presented along with a brief description of the relevant software toolkit. Design/methodology/approach: Areas of activity of the agent systems are presented, split into their internal and external domains, recognition of their world's state of affairs as well as planning of actions to affect their environment. Findings: Overview of the approach to development of the agent based systems from the general goal notion to its constituent elements, like plans and tasks. The proposed hybrid control structure allows both the horizontal level negotiations among the local agents and the vertical intervention by supervisory agents; therefore, such attitude makes also possible the multi-task and many-to-many negotiations. The result is the global control and the possibility of the decentralized negotiation. Research limitations/implications: Modelling LPA Chimera toolkit is based on Prolog which supports mainly backward chaining. Originality/value: Selection of a powerful and flexible agent systems modeling tool has been made, exemplary analysis of the agent based system model design has been presented. There agents representing the physical system elements, like a humans, machine, production line, shop floor system, the entire plant, or simply a workpiece; it may also be the part-oriented scheduling, or even the complete scheduling process.

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Intelligent approach for optimal modeling of manufacturing systems

Gecevska V., Cus F., Lombardi F., Dukowski V., Kuzinowski M.

Journal of Achievements in Materials and Manufacturing Engineering

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2006

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Vol. 14, nr 1-2

97--103

EN

Purpose: This paper proposes a methodology for analysis and modeling of machining conditions by optimal determination of the cutting parameters in multi-pass NC machining operations. Design/methodology/approach: This paper proposes optimal determination of the cutting parameters by using a deterministic method (DM) and a genetic algorithm (GA). In the research, it is created the complex mathematical model for design of the cutting condition for machining process. In next phase, it is created a numerical algorithm for optimization and its developed software called OPTIMAD (Optimization of Milling and Drilling), by using DM. Also, it is created software, caled GAMO (Genetic Algorithm for Machining Operation), as a GA program modul based of the elementary pseudo-code for GA, with using the MatLAB program language and C++ developed rutines. Findings: Modeling of optimal cutting parameters, as a part of process planning, enables generating of manufacturing data and knowledge representation in machining process plan. Verification of optimized cutting parameters in real machining condition has done confirmation for design of cutting parameters by virtual modelling, using optimization methodologies OPTIMAD and GAMO. Research limitations/implications: The optimization approach is proposed and its uses optimization of mathematical model using a classic and heuristic methods. In this research, GA based optimization method and deterministic optimization method are developed and there implementations into real manufacturing process are analyzed. Practical implications: Use of proposed approach resulted in improved productivity and efficiency of machining process where the cutting conditions are designed by OPTIMAD and GAMO softwares. In the future, this results will be integrated in computer system for process planning. Originality/value: The paper describes a method for eliminating the need for using the extensive user intervention in CAM processes, during determination of cutting parameters.