The Smoothing of Temperature Data Using the Mollification Method in Heat Flux Estimating

Kowsary, Farshad; Farahani, Somayeh Davoodabadi

doi:10.1080/10407782.2010.490447

Cited by 6 publications

(3 citation statements)

References 19 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…It should be noted in the inverse heat conduction problems that the accuracy of estimation of the unknown parameter depends on the distance of thermocouples from the active surface (the surface of heat produced on it) (Kowsary and Farahani, 2010;Farahani et al, 2011). If the thermocouples are closer to the active surface, the greater accuracy will be.…”

Section: Resultsmentioning

confidence: 99%

“…Due to limitations and difficulties of direct measurement at the interfaces, inverse methods are suitable to estimate temperature and heat flow at the tool/work-piece interface. The inverse heat conduction problem involves parameter estimation (Kowsary and Farahani, 2010;Farahani et al, 2011) using some temperatures measured from locations within or on the surface of the body, and inverse design (Farahani et al, 2016). IHCPs are highly sensitive to random noise, inherently based on measured temperature data.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Estimation of distribution of moving heat source during milling of AISIH13 by inverse heat conduction method

Farahani¹

2019

Journal of Theoretical and Applied Mechanics

View full text Add to dashboard Cite

This study presents an inverse heat transfer method to estimate the time history of a local heat flow into the work-piece during milling of AISIH13 with considering a 3D thermal model. Temperatures are measured using thermocouples within the work-piece providing input data for the inverse solver. The conjugate gradient method is used as an inverse solver to predict the local time dependent heat flow distribution on the cutting surfaces as well as the temperature distribution in the work-piece. A moving point heat source and a moving plane heat source with different heat source velocity is considered to investigate their influence on the estimated heat flow. Results indicate a good agreement between the experimental and estimated data with an average root mean square error less than 0.2 • C. It can be observed that the heat flow distribution is a function of heat source geometry, cutting speed and feed rate, but the temperature distribution is a weak function of geometry of the moving heat source. Changes of temperature with depth are studied. This study suggests that the developed inverse model can be successfully applied for estimating the heat flow and thermal field in the work-piece during milling.

show abstract

Section: Resultsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Estimation of distribution of moving heat source during milling of AISIH13 by inverse heat conduction method

Farahani¹

2019

Journal of Theoretical and Applied Mechanics

View full text Add to dashboard Cite

show abstract

“…The conjugate gradient method has been widely used in the literature and is known as one of the successful algorithms of IHCP, especially for problems of which the boundary conditions cover the major part of the boundary [11]. Kowsary and Farahani [12] applied the de-noised measurement data by using molli cation method before the standard IHCP algorithm for estimated heat ux for classical inverse problems. The lter method [13] used in this paper is a representation of one of many IHCP solution methods, such as Tikhonov Regularization, in a digital lter form.…”

Section: Introductionmentioning

confidence: 99%

Experimental estimation heat flux and heat transfer coefficient by using inverse methods

et al. 2016

Self Cite

View full text Add to dashboard Cite

The purpose of this paper is to present experimental applications of the inverse heat transfer methods (conjugate gradient method and sequential method). Three experiments are designed to estimate the heat ux and the heat transfer coe cients. In the third experiment, convective heat transfer coe cient is estimated directly and indirectly. In direct estimation, the conjugate gradient method with adjoint equation is used. The results show that inverse heat transfer methods are able to estimate the desired parameters with good accuracy in experimental state when mathematical model and boundary condition are correct and appropriate with experimental model.

show abstract

Experimental estimation of convective heat transfer coefficient from pulsating semi-confined impingement air slot jet by using inverse method

Farahani

Kowsary

2017

Heat Mass Transfer

View full text Add to dashboard Cite

The Smoothing of Temperature Data Using the Mollification Method in Heat Flux Estimating

Cited by 6 publications

References 19 publications

Estimation of distribution of moving heat source during milling of AISIH13 by inverse heat conduction method

Estimation of distribution of moving heat source during milling of AISIH13 by inverse heat conduction method

Experimental estimation heat flux and heat transfer coefficient by using inverse methods

Experimental estimation of convective heat transfer coefficient from pulsating semi-confined impingement air slot jet by using inverse method

Contact Info

Product

Resources

About