Numerical Modeling of Transient Temperature and Stress in WC–10Co4Cr Coating During High-Speed Grinding

Jiao, Yi; Deng, Zhaohui; Zhou, Wei; Li, Shujian

doi:10.1007/s12541-019-00285-9

Cited by 7 publications

(1 citation statement)

References 31 publications

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“…A special direction in this problem is the issue of thermal elastic analysis of materials with different properties in thickness, for example, treatment metals with a pre-hardened surface layer (after cementation, quenching, etc.) by heat flow or polishing surfaces after dynamic coating with inherent variability of coverage [4]. It is known, that the variability of the coefficient of thermal expansion is the most significant for materials with the nonhomogeneity of mechanical properties.…”

Section: Introductionmentioning

confidence: 99%

Transient Thermoelastic Analysis of a Cylinder Having a Varied Coefficient of Thermal Expansion

Shypul

Myntiuk

2020

Period. Polytech. Mech. Eng.

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This paper is concerned with the mathematical modeling of transient thermal elastic problem involving a layered cylinder with a varied coefficient of thermal expansion and powered by a heat flux from an external surfaces. All material's properties are the same for each cylinder's layers, besides the coefﬁcient of linear thermal expansion which is varied and corresponds to hardened and unhardened layers. An obtained solution is a transient state of a heat transfer for the one-dimensional temperature change under the action of heat flux in continuous time. Cumbersome analytical solutions are converted into simple approximation. They are used to solve the inverse problems of the thermal stressed state–determining the time of action of the heat flux to achieve the specified maximum temperature or stress. Some numerical results for the stress distributions are shown in ﬁgures.

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Section: Introductionmentioning

confidence: 99%

Transient Thermoelastic Analysis of a Cylinder Having a Varied Coefficient of Thermal Expansion

Shypul

Myntiuk

2020

Period. Polytech. Mech. Eng.

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Plastic deformation mechanism of grinding subsurface of nickel-based single-crystal superalloy

Cai,

Gong,

Gao

et al. 2023

Int J Adv Manuf Technol

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Machine Learning for Object Recognition in Manufacturing Applications

Yun

Kim

et al. 2023

Int. J. Precis. Eng. Manuf.

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Feature recognition and manufacturability analysis from computer-aided design (CAD) models are indispensable technologies for better decision making in manufacturing processes. It is important to transform the knowledge embedded within a CAD model to manufacturing instructions for companies to remain competitive as experienced baby-boomer experts are going to retire. Automatic feature recognition and computer-aided process planning have a long history in research, and recent developments regarding algorithms and computing power are bringing machine learning (ML) capability within reach of manufacturers. Feature recognition using ML has emerged as an alternative to conventional methods. This study reviews ML techniques to recognize objects, features, and construct process plans. It describes the potential for ML in object or feature recognition and offers insight into its implementation in various smart manufacturing applications. The study describes ML methods frequently used in manufacturing, with a brief introduction of underlying principles. After a review of conventional object recognition methods, the study discusses recent studies and outlooks on feature recognition and manufacturability analysis using ML.

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Numerical Modeling of Transient Temperature and Stress in WC–10Co4Cr Coating During High-Speed Grinding

Cited by 7 publications

References 31 publications

Transient Thermoelastic Analysis of a Cylinder Having a Varied Coefficient of Thermal Expansion

Transient Thermoelastic Analysis of a Cylinder Having a Varied Coefficient of Thermal Expansion

Plastic deformation mechanism of grinding subsurface of nickel-based single-crystal superalloy

Machine Learning for Object Recognition in Manufacturing Applications

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