Energy Criterion for Metal Machining Methods

Yarovyi, Yurii; Yarova, Inna

doi:10.1007/978-3-030-22365-6_38

Cited by 4 publications

(2 citation statements)

References 12 publications

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“…At the same time, it is necessary to note the sharply increased requirements for technical and economic indicators of grinding operations, especially in automated and robotic production. Therefore, under multiproduct manufacturing, it is necessary to consider the criteria of quality [ 3 , 4 ] and energy efficiency [ 5 , 6 ], equipment [ 7 , 8 ] and tooling [ 9 , 10 ] capabilities, processing modes [ 11 , 12 ], the design and technological parameters of the parts [ 13 , 14 , 15 ], the properties of materials and coatings [ 16 , 17 , 18 , 19 , 20 ].…”

Section: Introductionmentioning

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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Section: Introductionmentioning

confidence: 99%

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

et al. 2020

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“…At the same time, it is necessary to note the sharply increased requirements for technical and economic indicators of grinding operations, especially in automated and robotic production. Thus, in the context multiproduct manufacture, should be taken into account the quality criteria [3,4] and energy efficiency [5,6], equipment [7,8] and tooling [9,10] capabilities, processing modes [11,12], the design and technical parameters of the parts [13][14][15], the properties of materials and coatings [16][17][18][19][20].…”

Section: Introductionmentioning

confidence: 99%

Simulation of the contact temperature in the cylindrical plunge grinding process

Syzyi¹,

Ushakov²,

Slipchenko³

et al. 2020

Diagnostyka

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The intensifying of the manufacturing process and increasing the efficiency of production planning of parts are the first-priority task in modern manufacturing. The use of various methods for controlling the cutting force and temperature in cutting zone under cylindrical infeed grinding and studying its impact on the quality and accuracy of parts machining can improve machining efficiency. The peculiarity of the work is to the proposal to consider a fast-moving source like a heat source in the plunge grinding process. Based on the Peclet analysis, the further development of the method for calculating the allowance removed at each workpiece revolution by optimizing the cylindrical plunge grinding cycle parameters has been justified. The methodology for determining the optimal parameters of a cylindrical plunge grinding cycle, which based on a simulation of the dynamics of such a process represented by a three-mass model of a 3M151 circular grinding machine has been used in research. The practical value of the study lies in studying the ways of improving the grinding performance of the parts by intensifying cutting modes and optimizing the structure of machining cycles.Keywords: thermophysics of the grinding process, contact zone of the grinding wheel and the workpiece, grinding process dynamics, surface quality, defective layer

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