Study of impact of tribotechnical composition on rubber technical products to assess its applicability in wheeled transport engine

Azanov, A. V.; Azanov, M. V.; Amosov, A. G.; Khlopkov, S. V.; Khodyakov, A. A.

doi:10.1088/1757-899x/632/1/012049

Cited by 21 publications

(4 citation statements)

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“…In turn, the parameters of the control programme affecting the energy input are varied in order to increase the efficiency and quality of the VLP process. Thus, an optimisation problem is formed, which is solved by conducting a series of experiments [13][14][15].…”

Section: Structure Of Work On Search Of Technological Parameters Of M...mentioning

confidence: 99%

Automation of the single-track study for L-PBF additive manufacturing processes (for AlSi10Mg powder)

Ripetskiy,

Brykin,

Mikhailova

et al. 2023

E3S Web of Conf.

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When using a new powder material in each individual selective laser melting unit, the process engineer has to conduct process development works (PDW) to find the optimal combination of process parameters. The results of the PDW are analysed manually by the process engineer without the use of process decision support tools. Due to the expanding technological capabilities of the equipment and the available range of material properties, the possible set of parameters is also expanding, complicating the already non-trivial process of searching for printing process parameters. In order to reduce the PDW time, in this paper we proposed a rapid analysis tool to select individual experimental results with single welded tracks of AlSi10Mg powder. The process of conducting the experiment on domestic equipment was reviewed and the efficiency of the automation tool was investigated in comparison with the traditional manual selection approach. It is concluded that it is possible to apply the developed tool for materials and installations of additive manufacturing not considered in the study.

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Section: Structure Of Work On Search Of Technological Parameters Of M...mentioning

confidence: 99%

Automation of the single-track study for L-PBF additive manufacturing processes (for AlSi10Mg powder)

Ripetskiy,

Brykin,

Mikhailova

et al. 2023

E3S Web of Conf.

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“…The combined benefits of blasting and electropolishing have been previously acknowledged [6][7][8][9][10][11]. However, the ability to predict the raw roughness of a part before these processes has been largely overlooked in existing literature [12].…”

Section: Introductionmentioning

confidence: 99%

Predictive Modelling of Surface Roughness in Layered Manufacturing Using H15N5D4B and KH28M6

Ripetskiy,

Mikhailova,

Fedoseev

et al. 2023

E3S Web of Conf.

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Layered manufacturing (LM) technology has the capability to fabricate 3D physical models efficiently, overcoming the limitations of geometric complexities. However, the surface quality of LM-processed parts often falls short compared to parts made through traditional numerically controlled manufacturing technology. This issue of surface roughness has become a significant concern, despite the numerous potential advantages offered by LM. To address this, an elaborate methodology is proposed to predict the surface roughness of LM-processed parts. The proposed methodology takes into account both theoretical and real-world characteristics of surface roughness distributions to accurately reflect the actual roughness distributions in the predictions. This methodology was tested and used to evaluate properties of the H15N5D4B and KH28M6 materials. To achieve this, a design of the testing sample was developed, and a roughness distribution expression was introduced, utilizing measured roughness data from the aforementioned sample. This expression allows engineers to obtain surface roughness values for all surface angles, i.e., desired 3D models. The methodology also includes a prediction application, which demonstrates the validity and effectiveness of the proposed approach through several application examples.

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“…The distinctive features of this stamping from the volume stampings are: minimum allowance for machining of the working part. 0.3 −0.05 +0.2 𝑚𝑚, machining allowance for the locking part 3 ± 0.5𝑚𝑚, lack of technological bases, lack of material to machining the technological base surfaces for subsequent machining in a 5-axis machine (for one installation) [4][5].…”

Section: Introductionmentioning

confidence: 99%

Development of technological process of metal machining from stamping on 5-axis CNC milling machine

2023

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The technological process of compressor working blade production from stamping with minimum allowance for machining of the working part, on 5-axis CNC machine aimed at reducing the units of machine equipment has been developed. The tooling for basing the working part of the blade on the principle of six-point basing adapted to the design of the machine tool is realised. The geometrical parameters of the obtained blade were analysed with its mathematical model by 3D scanning method.

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Study of impact of tribotechnical composition on rubber technical products to assess its applicability in wheeled transport engine

Cited by 21 publications

References 0 publications

Automation of the single-track study for L-PBF additive manufacturing processes (for AlSi10Mg powder)

Automation of the single-track study for L-PBF additive manufacturing processes (for AlSi10Mg powder)

Predictive Modelling of Surface Roughness in Layered Manufacturing Using H15N5D4B and KH28M6

Development of technological process of metal machining from stamping on 5-axis CNC milling machine

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