Minimization of the Systematic Error in Centerless Measurement of the Roundness of Parts

Захаров, О. В.; Kochetkov, A. V.

doi:10.1007/s11018-016-0892-6

Cited by 34 publications

(9 citation statements)

References 2 publications

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“…Specific procedures for measuring large machinery components have been discussed in several studies [ 2 , 3 , 4 ]. They include methods to measure geometrical deviations of cylindrical surfaces of such components and include a concrete, broadly understood analysis of systematic and random errors in the proposed methods [ 5 , 6 , 7 , 8 ]. These studies contain valuable information for understanding the discussed issues and for perfectly matching modern metrology trends [ 9 ].…”

Section: Introductionmentioning

confidence: 99%

The Effect of Deflections and Elastic Deformations on Geometrical Deviation and Shape Profile Measurements of Large Crankshafts with Uncontrolled Supports

Nozdrzykowski¹,

Adamczak²,

Grządziel³

et al. 2020

Sensors

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This article presents a multi-criteria analysis of the errors that may occur while measuring the geometric deviations of crankshafts that require multi-point support. The analysis included in the paper confirmed that the currently used conventional support method—in which the journals of large crankshafts rest on a set of fixed rigid vee-blocks—significantly limits the detectability of their geometric deviations, especially those of the main journal axes’ positions. Insights for performing practical measurements, which will improve measurement procedures and increase measurement accuracy, are provided. The results are presented both graphically and as discrete amplitude spectra to make a visual, qualitative comparison, which is complemented by a quantitative assessment based on correlation analysis.

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Section: Introductionmentioning

confidence: 99%

The Effect of Deflections and Elastic Deformations on Geometrical Deviation and Shape Profile Measurements of Large Crankshafts with Uncontrolled Supports

Nozdrzykowski¹,

Adamczak²,

Grządziel³

et al. 2020

Sensors

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“…In their formulation, implementation and processing of the results, well-developed and modern methods of experimental research were used. Specifically, the experimental research methodology was developed by Kochetkov [9,14].…”

Section: Methodsmentioning

confidence: 99%

“…The scientific result is registering the fact of an increase in the spread of residual cutting deformations (errors) in comparison of rigid and elastic force closures [9,[14][15]. After the processing of the experimental results, mathematical dependences were obtained (the feed effort of the W O on the milling depth h and the feed speed V)…”

Section: Methodsmentioning

confidence: 99%

Automated Road Milling Cutter for Repair of the Road Surfaces with Variable Trackage

Kamzanov¹,

Amanova²,

Baikenzheyeva³

et al. 2023

Communications

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The article presents a method of experimental research and created stand with metrological equip-ment that allows to simulate the complex process of milling asphalt concrete samples by force and coordinate closure. As a result of the research, regression equations describing the milling parame-ters of asphalt concrete samples, were obtained. It is established that during the transition from the power (elastic) closure of the technological system to the rigid (coordinate) one, milling errors de-crease by up to 15 % and their spread is up to 30 %. The developed method for restoring the road surface can be applied in practice not only within Kazakhstan, but outside the country, as well.

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“…The ways to achieve dimensional accuracy are determined at the stage of design and technological preproduction [1,2,3]. The solution of these tasks at each of the stages can be simplified due to availability of mathematical models [4] and means allowing to predict and determine the actual value of geometric parameters [5,6] characterizing achievable accuracy.…”

Section: Introductionmentioning

confidence: 99%

Neural network model in digital prediction of geometric parameters for relative position of the aircraft engine parts

Bolotov

Pechenin

Ruzanov

et al. 2019

Proceedings of the v International Conference Information Technology and Nanotechnology 2019

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The quality of aircraft and rocket engines depends primarily on the geometric accuracy of assembly units and parts. Mathematical models implemented in the form of computer models are used to predict quality indicators (in particular, assembly parameters). Direct modeling of the conjugation process using numerical conjugation and finite-element models of assemblies requires significant computational resources and is often accompanied by problems convergence of solutions. In order to solve the above problems, it is possible to use neural network models describing the main regularities of the pairing process based on the accumulated results. The work presents a neural network model for predicting assembly parameters of the parts based on the use of actual surfaces of the parts obtained as a result of mathematical modeling. Assembly on conical surfaces is considered. A convolutional neural network was used to predict assembly parameters.

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Minimization of the Systematic Error in Centerless Measurement of the Roundness of Parts

Cited by 34 publications

References 2 publications

The Effect of Deflections and Elastic Deformations on Geometrical Deviation and Shape Profile Measurements of Large Crankshafts with Uncontrolled Supports

The Effect of Deflections and Elastic Deformations on Geometrical Deviation and Shape Profile Measurements of Large Crankshafts with Uncontrolled Supports

Automated Road Milling Cutter for Repair of the Road Surfaces with Variable Trackage

Neural network model in digital prediction of geometric parameters for relative position of the aircraft engine parts

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