Determining Optimal Parameters of Regular Microrelief Formed on the End Surfaces of Rotary Bodies

Dzyura, Volodymyr; Maruschak, Pavlo; Prentkovskis, Olegas

doi:10.3390/a14020046

Cited by 8 publications

(9 citation statements)

References 23 publications

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“…e similarity between nodes is calculated according to the embedding of two network nodes, and the training set of the model is constructed according to prior knowledge. To find the optimal parameters of the objective function, a model is built to perform associated user mining for all pairs of nodes across the network [15]:…”

Section: Auma-mrl Algorithmmentioning

confidence: 99%

Network Data Mining Algorithm of Associated Users Based on Multi-Information Fusion

Wang¹,

Zhang²,

Zhang³

2022

Security and Communication Networks

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To explore how related users can optimize the network mining algorithm, the author proposes a related user mining algorithm based on the fusion of user attributes and user relationships. This method recommends key technical problems and solutions based on information represented by multi-information fusion and explores research on associated user network data mining algorithms. Research has shown that the associated user network data mining algorithm based on multi-information fusion is 65% higher than previous methods. AUMA-MRL has good performance under different network overlaps. Also, since the node embedding of the AUMA-MRL algorithm is obtained by neighborhood sampling, for new nodes in the network, the algorithm can quickly obtain the new node embedding, as well as the similarity vector between the new node and the rest of the nodes in the network, therefore, the associated users of newly added nodes in the network can be quickly mined, and the robustness of the mining algorithm of associated users in the network is enhanced. Compared with the existing classical algorithms, the recall rate of the proposed algorithm is increased by 17.5% on average, which can effectively mine the associated users in the network.

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Section: Auma-mrl Algorithmmentioning

confidence: 99%

Network Data Mining Algorithm of Associated Users Based on Multi-Information Fusion

Wang¹,

Zhang²,

Zhang³

2022

Security and Communication Networks

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“…The required toolpaths were elaborated by a novel algorithm, shown in Figure 1. As input parameters it uses X and Y coordinates of the toolpath characteristic points, calculated by the methodology (Dzyura et al 2021a(Dzyura et al , 2021b(Dzyura et al , 2021c. Factors are selected according to expert assessments and based on the analysis of scientific literature (Swirad, Pawlus 2021;Shnejder, Lebedinskij 1970;Bulatov et al 1997;Wos et al 2020).…”

Section: Methodsmentioning

confidence: 99%

“…Regardless of the fact that variable transmissions have already occupied a certain niche in car making, enhancing their reliability and manufacturability to extend their service life is an important task. There are a number of efforts for analysing the height-related roughness parameter R a (Wang et al 2010;Volchok et al 2002;Dzyura et al 2021aDzyura et al , 2021bDzyura et al , 2021c. The service characteristics of surfaces, in particular, the ability to retain oil, were investigated, using the group of R k parameters on the Abbott-Firestone diagram, based on surface profilograms of test specimens.…”

Section: Introductionmentioning

confidence: 99%

Applying Regular Relief Onto Conical Surfaces of Continuously Variable Transmission to Enhance Its Wear Resistance

Dzyura,

Maruschak,

Slavov

et al. 2023

Transport

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While investigating the variator transmission of vehicles, the relationship between the technological and service parameters of the working surfaces of conical disks treated by technological methods was established. The service properties are proposed to be enhanced by Regular MicroReliefs (RMRs) created on such surfaces. The optimal technological processing conditions were found, which allow retaining the greatest amount of lubricant. The causes of surface defects, formed on the working surfaces of conical disks of the Continuously Variable Transmission (CVT), are systematized and classified. The wear resistance of such surfaces is proposed to be enhanced by technological methods, in particular, by forming partially RMRs on them. Their application facilitates relaxation processes on the material near to the surface, reduces shear stresses and strains, thus preventing the formation of burrs and extending the life of the conical disks of the CVT. A novel approach for obtaining the toolpaths of the deforming element, based on the so-called “Commis–Voyageur problem” algorithms, is employed in order to research the possibilities for involving that methods in toolpath generation. Dependences between the partial RMR’s formation conditions (deforming forces and feedrate) and microgeometric quality parameters are established. The latter include surface roughness, with a partially RMR applied onto the face surfaces of the test specimen (rotary body). It is found that these microreliefs enhance the ability of oil retaining in plastically deformed traces, formed over the operational surfaces, in comparison with those, that are processed by traditional cutting methods, as turning for example.

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“…In this way, the complex toolpath needed (see Figure 1 ) to obtain all five types of RMRs can be achieved. Nowadays, similar complex toolpaths can be mathematically calculated by using CAD-CAM and appropriate algorithms [ 34 , 35 ]. Then, employing the ability of the contemporary CNC-machine tools to interpolate two (or more) driven axes, they can be performed without needing to use any enforced oscillations of the ball tool [ 36 ].…”

Section: Introductionmentioning

confidence: 99%

Research of the Ball Burnishing Impact over Cold-Rolled Sheets of AISI 304 Steel Fatigue Life Considering Their Anisotropy

Slavov,

Dimitrov,

Konsulova-Bakalova

et al. 2023

Materials

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The present work focusses on the research of the plastic deformation accumulated effect obtained after two different plastic deformation treatments, over the fatigue life of AISI 304 austenitic stainless steel. The research is focused on ball burnishing as a finishing process to form specific, so-called “regular micro-reliefs” (RMRs) on a pre-rolled stainless-steel sheet. RMRs are formed using a CNC (Computerized Numerically Controlled) milling machine and toolpaths with the shortest unfolded length, generated by an improved algorithm, based on the Euclidean Distance calculation. The effect of the predominant tool trajectory direction during the ball burnishing process (which can be coinciding or transverse with the rolling direction), the magnitude of applied deforming force, and feed-rate is subjected to evaluation using Bayesian rule analyses of experimentally obtained results for the fatigue life of AISI 304 steel. The obtained results give us reason to conclude that the fatigue life of researched steel is increased when directions of pre-rolled plastic deformation and the tool movement during ball burnishing are coincident. It also been found that the magnitude of deforming force has a stronger impact over the fatigue life, than the feed-rate of the ball tool.

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Determining Optimal Parameters of Regular Microrelief Formed on the End Surfaces of Rotary Bodies

Cited by 8 publications

References 23 publications

Network Data Mining Algorithm of Associated Users Based on Multi-Information Fusion

Network Data Mining Algorithm of Associated Users Based on Multi-Information Fusion

Applying Regular Relief Onto Conical Surfaces of Continuously Variable Transmission to Enhance Its Wear Resistance

Research of the Ball Burnishing Impact over Cold-Rolled Sheets of AISI 304 Steel Fatigue Life Considering Their Anisotropy

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