Ensuring the reliability and performance criterias of crankshafts

Kotliar, Alexey; Gasanov, Magomediemin; Basova, Yevheniia; Panamariova, Olga; Gubskyi, Sergii

doi:10.29354/diag/99605

Cited by 18 publications

(12 citation statements)

References 10 publications

(20 reference statements)

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“…When machining the relieving tooth back surface by grinding it is rather difficult to choose the cutting conditions. In this regard, the ideas of choosing and optimizing the grinding process presented in [22,23] are of interest.…”

Section: Resultsmentioning

confidence: 99%

Research of modified gear drive for multioperational machine with increased load capacity

Krol¹,

Sokolov²

2020

Diagnostyka

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The presented work is devoted to the improvement of spur gears of the reduction drive for metal-cutting machines according to the criterion of load capacity. A feature of this article is the creation of such a constructive solution, which is aimed at finding a compromise between reducing contact loads in the engagement zone and increasing the complexity and labour intensity of the manufacturing gears process. A procedure for accelerated creation of 3D models of a gear drive and its components using the specialized software application "Shafts and Mechanical Transmissions-3D" in the environment of integrated CAD system KOMPAS-3D is proposed. A study of a new cylindrical gear transmission design with a longitudinal generatrix of axoids, confirmed by the corresponding patent solution is realized. A calculation form for the practical design and manufacture of a new design cylindrical gear is proposed.

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Section: Resultsmentioning

confidence: 99%

Research of modified gear drive for multioperational machine with increased load capacity

Krol¹,

Sokolov²

2020

Diagnostyka

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“…To analyze the design operability and select the optimal design [27,28] for the rotary table of the CNC machine tool model SVM1F4.…”

Section: Creation Of the 3d Models For Drilling-milling-boring Machinmentioning

confidence: 99%

Selection of worm gearing optimal structure for machine rotary table

Krol¹,

Sokolov²

2021

Diagnostyka

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“…Ensuring crankshaft quality by abrasive machining methods was considered in the works [ 30 , 31 , 32 ]. Notably, F. Bordin et al [ 30 ] proposed intensifying the machining process by varying the morphological characteristics of grinding wheels analyzed via X-ray tomography.…”

Section: Literature Reviewmentioning

confidence: 99%

“…Thus, studies of a dependence of the total cutting force for grinding wheels with a different grit on the material’s ultimate strength, the main bearing journal’s width, and infeed speed were made. In the research [ 32 ], recommendations for determining the optimal parameters for the cylindrical infeed grinding cycle of the crankpins from productivity and accuracy were developed.…”

Section: Literature Reviewmentioning

confidence: 99%

Parameter Identification of Cutting Forces in Crankshaft Grinding Using Artificial Neural Networks

et al. 2020

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The intensifying of the manufacturing process and increasing the efficiency of production planning of precise and non-rigid parts, mainly crankshafts, are the first-priority task in modern manufacturing. The use of various methods for controlling the cutting force under cylindrical infeed grinding and studying its impact on crankpin machining quality and accuracy can improve machining efficiency. The paper deals with developing a comprehensive scientific and methodological approach for determining the experimental dependence parameters’ quantitative values for cutting-force calculation in cylindrical infeed grinding. The main stages of creating a method for conducting a virtual experiment to determine the cutting force depending on the array of defining parameters obtained from experimental studies are outlined. It will make it possible to get recommendations for the formation of a valid route for crankpin machining. The research’s scientific novelty lies in the developed scientific and methodological approach for determining the cutting force, based on the integrated application of an artificial neural network (ANN) and multi-parametric quasi-linear regression analysis. In particular, on production conditions, the proposed method allows the rapid and accurate assessment of the technological parameters’ influence on the power characteristics for the cutting process. A numerical experiment was conducted to study the cutting force and evaluate its value’s primary indicators based on the proposed method. The study’s practical value lies in studying how to improve the grinding performance of the main bearing and connecting rod journals by intensifying cutting modes and optimizing the structure of machining cycles.

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Ensuring the reliability and performance criterias of crankshafts

Cited by 18 publications

References 10 publications

Research of modified gear drive for multioperational machine with increased load capacity

Research of modified gear drive for multioperational machine with increased load capacity

Selection of worm gearing optimal structure for machine rotary table

Parameter Identification of Cutting Forces in Crankshaft Grinding Using Artificial Neural Networks

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