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EN
Purpose: The paper discusses the parametric optimisation of the electroless Ni-YSZ cermet coating microhardness upon heat treatment. Heat treatment is a process to increase the mechanical properties of the electroless nickel coating and it can be enhanced by manipulating its parameters. Parametric optimisation is conducted by the design of experiment full factorial 3x3 with 27 runs. Treating temperature, treating time and ceramic particle size parameters at 3-level are evaluated using statistical tool ANOVA in Minitab20. Design/methodology/approach: Ni-YSZ cermet coating is deposited onto a high-speed steel substrate using the electroless nickel co-deposition method. The temperature and time were varied in a range of 300-400°C and 0-2 hours respectively. The microhardness measurements were carried out using a Vickers microhardness tester (Shimadzu) according to ISO 6507-4. The surface characterisation was analysed using Cambridge Stereoscan 90 Scanning Electron Microscope (SEM) coupled with Energy Dispersive X-ray Analysis (EDXA). Findings: The optimum condition in obtaining high microhardness on Ni-YSZ cermet coating is evaluated by statistical tool ANOVA in Minitab20 software. It is found that the most significant parameter for high microhardness is at the treating temperature of 400°C followed by treating time at 2 hours using nano-sized YSZ particles. The ceramic particle size is found not a significant parameter in obtaining a high microhardness, however it has effect on interaction between treating temperature and treating time. Research limitations/implications: The paper only limits to the optimisation condition of microhardness on Ni-YSZ cermet coating hardness property by varying heat treatment parameters. Practical implications: The optimisation condition obtained might only applicable to the electroless Ni-YSZ cermet coating with similar electroless nickel solution and treatments. Originality/value: The value of this work is the heat treatment parametric optimisation to obtain high microhardness on electroless Ni-YSZ cermet coating by using the design of experiment 3-level full factorial.
PL
Przedstawiono koncepcję strategii obróbki kształtującej i wygładzającej powierzchni o zmiennej krzywiźnie. Celem autorów było zminimalizowanie łącznego czasu obróbki z uwzględnieniem nierówności powierzchni po frezowaniu frezem kulistym i jej wygładzaniu krążkiem ściernym z agregatami Trizact™.
EN
The article presents the concept of the strategy of shaping and sanding process of the free form surfaces. The main aim is the minimization of the sum of machining time with the consideration of surface roughness after ballend milling process and sanding process with abrasive discs with Trizact™ grains.
PL
Opracowanie systemów sterowania obiektami mechanicznymi polega na znalezieniu kompromisu między szybkością działania, a wymaganą dokładnością i jest zagadnieniem o dużej złożoności obliczeniowej. W artykule przedstawiono różne implementacje algorytmu Optymalizacji Rojem Cząstek PSO (ang. Particle Swarm Optimization), który stworzono w celu uzyskania minimalnego czasu obróbki przy zachowaniu zadanej dokładności odtwarzania trajektorii ruchu. Jego działanie zostało porównane w językach: C, C++ i C# oraz na procesorze i karcie graficznej. Z przeprowadzonych badań wynika, że dla małej liczby punktów obliczenia na karcie graficznej są wolniejsze niż na procesorze.
EN
: Finding the compromise between speed and accuracy is the most important problem in designing control systems. This is a problem of high computational complexity. The paper presents implementation of the algorithm PSO (Particle Swarm Optimization) whose action has been compared in several programming environments (C / OpenCL and C # / Cloo and in C + +) and hardware platforms (CPU and graphics card processor - GPU). PSO is able to achieve the minimum processing time and best possible mapping of a given trajectory. To compare the speed of the PSO algorithm there was made a measurement of the time of test function minimization. The paper describes three test functions commonly used to test the optimization effectiveness. The results show that for a small number of points the calculations on a graphic card are slower than those performed on the CPU. The appropriate use of available parallel computing technologies can significantly improve the characteristics of a multi-axis machine and the expenses incurred for optimization of the PSO can quickly result in important profits. It should be noted that optimization of the processing speed is most needed where the treatment is most complicated. The profit will be negligible for simple trajectories. In special cases, the optimization may extend the processing time without apparent improvement of the characteristics of trajectory mapping.
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