The influence of carburization technology on performance properties of high-loaded gear wheels

Pakhomova, S. A.; Fakhurtdinov, R. S.; Tsinkolenko, O. A.; Zolotov, B.S.

doi:10.1088/1757-899x/747/1/012126

Cited by 10 publications

(5 citation statements)

References 6 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Clothing material is a very crucial part of clothing design. The combination of various clothing materials will make the final designed clothing that show different styles and performance effects to meet the diversified needs of consumers [ 32 ]. Recently, with the continuous progress of the level of science and technology, many science and technology have been applied in fashion design.…”

Section: Methodsmentioning

confidence: 99%

Clothing Design Style Recommendation Using Decision Tree Algorithm Combined with Deep Learning

Yang¹

2022

Computational Intelligence and Neuroscience

View full text Add to dashboard Cite

Most clothing recommendation methods have problems such as high resource consumption and inconsistent subjectively labeled clothing labels. Based on this, a multilabel classification algorithm based on deep learning (DL) theory is introduced, based on which the clothing style recognition model is constructed. Next, the concept of the decision tree algorithm is given, and the clothing recommendation model is built based on this algorithm. Moreover, the clothing style recognition model based on a multilabel classification algorithm and the clothing recommendation system based on a decision tree algorithm are tested by building simulation experiments and combining neural network technology. Finally, the application of the decision tree algorithm and DL theory in clothing recommendation design is studied through the literature collection method. The research focus is to realize the recognition of clothing through decision tree algorithm and DL method to achieve the intelligent recommendation of clothing style. The results show that: (1) the neural network technology in DL theory can realize efficient recognition and classification of clothing style by automatically extracting image features and combining with a multilabel classification algorithm. (2) The decision tree algorithm can make an initial recommendation according to users’ style preferences, then make implicit recommendations through user retrieval, browsing, and other operations, and make dynamic clothing style recommendations to users. (3) When the neural network based on a multilabel classification algorithm is trained, the precision, recall rate, and F1 values are 0.73, 0.43, and 0.55, respectively. (4) After using the clothing recommendation system based on the decision tree algorithm, the subjects’ average satisfaction is 86.25%, indicating that this system can give users a better clothing recommendation experience. This exploration aims to provide a crucial reference for further improving the quality of clothing recommendation services. It has important theoretical significance and practical value for the development of artificial intelligence in the field of fashion design, and is expected to provide a reference for the development of bionics.

show abstract

Section: Methodsmentioning

confidence: 99%

Clothing Design Style Recommendation Using Decision Tree Algorithm Combined with Deep Learning

Yang¹

2022

Computational Intelligence and Neuroscience

View full text Add to dashboard Cite

show abstract

“…This work is devoted to the study of pinion gears. The use of pinion gears makes it possible to reduce the slippage of profiles and thereby reduce the wear of the transmission as a whole [1][2][3][4][5]. This leads to increased efficiency and makes transmission more efficient and convenient to operate.…”

Section: Introductionmentioning

confidence: 99%

“…Let us consider a mathematical model of a pinion transmission as a flat gearing, the gear ratio of which is a constant [1,2]: 𝑣 𝑎 𝜔 𝑠𝑖𝑛 𝛼 𝑟 𝛼 𝜔 (1) 𝑟 𝛼 𝜔 𝑐𝑜𝑠 𝛼 0…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Algorithm for synthesis of plane gears according to the constant curvature criterion

Barbashov,

Timofeev

2024

E3S Web of Conf.

View full text Add to dashboard Cite

This paper presents an algorithm for synthesizing plane gears based on the constant curvature criterion. The derived formulas for pinion gears can be applied in various mechanisms, including clockwork mechanisms, gun turret aiming systems, lifting and transport mechanisms, and planetary gearboxes with tracked propellers. These formulas enable effective analysis of transmission operation and optimal value selection, leading to more rational design and increased efficiency of the entire mechanism. Internal gearing technology allows for significant reductions in drive dimensions and metal consumption compared to traditional involute gears. Improving the technical characteristics of mechanical drives can be achieved by optimizing pinion gear design. This study focuses on the analysis of pinion gears, which reduce profile slippage and transmission wear, resulting in increased efficiency and convenience of operation. Additionally, pinion gears are technologically advanced and reliable. This work develops a mathematical model of a pinion transmission as a flat gearing with a constant gear ratio, providing a foundation for further research and practical applications.

show abstract

“…The main dynamic and economic properties of lifting and mining machines are laid down in the design process when choosing parameters such as the type and power of the engine, as well as the transfer function of the transfer mechanism. Subsequent calculations based on the criteria of strength and durability no longer have a significant impact on their dynamic qualities and energy consumption in operation, unless there is a significant increase in moving masses [1][2][3][4].…”

Section: Introductionmentioning

confidence: 99%

Control of braking energy recovery of lifting machines

Barbashov,

Samoylova,

Polyantseva

2023

E3S Web Conf.

View full text Add to dashboard Cite

The increase in the energy consumption of machines when operating in unsteady modes is caused by many reasons, the main of which are deviation from the calculated operating modes and braking of the machine with irretrievable energy losses. When driving cars from electric motors, the recovery of braking energy can be carried out by switching them to the electric generator mode and returning the braking energy to the general power supply network. However, the absence of parallel consumers in the general power supply network requires the presence of an electric energy accumulator to recover braking energy. Effective recovery of braking energy can be carried out in a flywheel energy storage device with a high service life and high specific indicators of stored energy per unit weight of the storage device using differential gear mechanisms having two degrees of freedom.

show abstract

The influence of carburization technology on performance properties of high-loaded gear wheels

Cited by 10 publications

References 6 publications

Clothing Design Style Recommendation Using Decision Tree Algorithm Combined with Deep Learning

Clothing Design Style Recommendation Using Decision Tree Algorithm Combined with Deep Learning

Algorithm for synthesis of plane gears according to the constant curvature criterion

Control of braking energy recovery of lifting machines

Contact Info

Product

Resources

About