2015
DOI: 10.1016/j.applthermaleng.2015.03.083
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Experimental investigation of thermal aspects in a cutting tool using comsol and inverse problem

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Cited by 54 publications
(38 citation statements)
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“…Study of the behavior of computational heat fluxes has found that: (i) heat flux grows relatively slowly after tool engagement (approx. 10 s), (ii) practically stabilizes with small residual oscillations at a certain level or demonstrates a slow growth, and (iii) decreases over a short period of time (approximately 5 s) after tool disengagement [10,13,14,15]. Other researchers [17,18,19] reported constant or near-constant heat flux behavior over the machining time.…”
Section: Introductionmentioning
confidence: 95%
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“…Study of the behavior of computational heat fluxes has found that: (i) heat flux grows relatively slowly after tool engagement (approx. 10 s), (ii) practically stabilizes with small residual oscillations at a certain level or demonstrates a slow growth, and (iii) decreases over a short period of time (approximately 5 s) after tool disengagement [10,13,14,15]. Other researchers [17,18,19] reported constant or near-constant heat flux behavior over the machining time.…”
Section: Introductionmentioning
confidence: 95%
“…4) characterizes the intensity of the convective heat transfer between the free tool surfaces and the environment. As shown in [14,15], the magnitude of the heat transfer coefficient for free air convection ranges from 10 to 25 W/(m 2 K). The computed temperatures for the sensitivity reference model at = 5, 15, and 25 are shown in Fig.…”
Section: Influence Of Heat Transfer Coefficient To the Environmentmentioning
confidence: 99%
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“…J w (8) in which the superscript k stands for the number of iterations;  represents the search step size; P is the direction of descent; J is the gradient of objective function and r is the conjugation coefficient. These above equations reveal that all parameters for CGM iteration are computed through temperature of direct problem which will be introduced following.…”
Section: Inverse Heat Transfer Methodsmentioning
confidence: 99%
“…Ngo et al [7] proposed an inverse method to predict interface temperature, heat generation and convection coefficient in welding process. The heat flux and transient temperature on a turning cutting tool were carried using a nonlinear inverse technique combined with COMSOL [8]. Through the literature review, it can be seen that non researches study on time-varying preload based on inverse heat transfer method.…”
Section: Introductionmentioning
confidence: 99%