A New Grinding Heat Flux Distribution Developed by Theoretical Derivation

2013 ◽  
Vol 774-776 ◽  
pp. 1160-1163
Author(s):  
Yan Jing ◽  
Qang Han Fang
Keyword(s):  
Heat Flux ◽  
Finite Element ◽  
Thermal Field ◽  
Flux Distribution ◽  
Distribution Model ◽  
Grinding Process ◽  
Finite Element Models ◽  
Heat Flux Distribution ◽  
Theoretical Derivation ◽  
Made In

Heat flux distribution has an important influence on grinding thermal field, therefore an accurate heat flux distribution model must be established in order to precisely simulate the grinding process. A new heat flux distribution model was developed by theoretical derivation in this paper. In order to simulate the transient grinding thermal field, finite element models were created, applied with the new, uniform and triangular heat flux models respectively. Comparisons between the distributions of temperatures and temperature histories calculated from numerical simulations using the three different models were also made in this paper.

Thermal Simulation of Peel Grinding Process

2009 ◽  
Vol 16-19 ◽  
pp. 590-595
Author(s):  
Jian Qiu ◽  
Ya Dong Gong ◽  
Jun Cheng ◽  
Yue Ming Liu
Keyword(s):  
Heat Flux ◽  
Thermal Field ◽  
Flux Distribution ◽  
Grinding Process ◽  
Grinding Temperature ◽  
Heat Flux Distribution ◽  
Fem Model ◽  
Flux Model ◽  
Heat Flux Model ◽  
Element Algorithm

This paper describes the grinding temperature characteristics in peel grinding. Some mathematical models such as average heat flux, triangular heat flux distribution and workpiece temperatures in the contact area are built. Using triangular heat flux model, the heat flow transferred to wheel and workpiece are analyzed. A 2D FEM model for thermal aspects of peel grinding process is presented and a finite element algorithm is implemented to solve the nonlinear problem. Finally, a peel grinding thermal field experiment was present.

Heat flux distribution and temperature prediction model for dry and wet cylindrical plunge grinding

2018 ◽  
Vol 233 (10) ◽  
pp. 2047-2060 ◽  
Author(s):  
Jingzhu Pang ◽  
Chongjun Wu ◽  
Yiming Shen ◽  
Siqi Liu ◽  
Qingxia Wang ◽  
...  
Keyword(s):  
Heat Flux ◽  
Prediction Model ◽  
Surface Temperature ◽  
Contact Zone ◽  
Flux Distribution ◽  
Grinding Process ◽  
Grinding Temperature ◽  
Heat Flux Distribution ◽  
Temperature Prediction ◽  
Workpiece Surface

The grinding heat is generally partitioned into the workpiece, wheel, chips and fluid in grinding process. The total amount of heat flux entering into the workpiece greatly affects the final workpiece surface temperature, which may cause undesirable workpiece burn. Moreover, the variable grinding chip thickness and fluid injection speed along the grinding contact zone could substantially change the specific energy and the shape of the heat source correspondingly. In this article, a Weibull heat flux distribution model for both dry and wet grinding temperature prediction was proposed by analyzing two key parameters: energy partition Rw and shape parameter k. The value of Rw was obtained by considering the real contact length, the active grits number and the average grit radius r0 on the basis of traditional formulas. The relationship between shape parameters k and useful flow was established by a FLUENT simulation of the convective grinding fluid applied in grinding contact zone with wheel-workpiece minimum clearance. The grinding temperature and grinding force experiments were conducted on a grinding machine MGKS1332/H to validate the proposed heat flux model. The calculated workpiece surface temperature distribution was obtained by using the experimental heat flux obtained by the reverse algorithm, and the error between calculated temperature and experimental temperature was analyzed. With the monitored force signals and the proposed temperature prediction model, the grinding temperature for both dry and wet grinding can be predicted, which will be helpful to the optimization and control of temperature in grinding process.

Inverse Thermal Analysis of a Coke Drum Using a Bayesian Probabilistic Approach

2015 ◽  
Author(s):  
Edrissa Gassama ◽  
Charles Panzarella ◽  
Jeffrey Cochran
Keyword(s):  
Heat Flux ◽  
Finite Element ◽  
Temperature Distribution ◽  
Flux Distribution ◽  
Thermal Stresses ◽  
Heat Conduction Problem ◽  
Probabilistic Approach ◽  
Operating Conditions ◽  
Heat Flux Distribution ◽  
Posterior Probability Distribution

There is much interest in predicting the optimal operating conditions of a coke drum in order to extend its life and optimize both maintenance and repair. Typically, only temperature measurements on the outer surface of the wall are available from monitoring. In order to predict damage due to thermal stresses and other mechanisms, the temperature distribution through the wall is required. This could be determined if the heat flux on the inner surface of the wall were known, but this is difficult to obtain directly. In this paper, the heat flux distribution on the inner wall is determined solely from thermocouple measurements taken on the outside of the wall by solving a stochastic inverse heat conduction problem (IHCP). A finite element analysis is used to solve the forward thermal problem, and a Bayesian inference approach is used to model the posterior probability distribution of the heat flux. A newly developed probabilistic sampling technique known as the Particle Raking Algorithm (PRA) is found to be quite effective at solving this inverse problem. Once determined, the heat flux distribution is then applied as a boundary condition for the finite element model to determine the through-wall temperature distribution.

scholarly journals Heat Flux Distribution Model in the Cylindrical Grinding Contact Area

2016 ◽  
Vol 5 ◽  
pp. 158-169 ◽  
Author(s):  
Jingzhu Pang ◽  
Beizhi Li ◽  
Yao Liu ◽  
Chongjun Wu
Keyword(s):  
Heat Flux ◽  
Contact Area ◽  
Flux Distribution ◽  
Distribution Model ◽  
Heat Flux Distribution ◽  
Cylindrical Grinding
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