Thermal Analysis of Grinding

Malkin, S.; Guo, Changsheng

doi:10.1016/j.cirp.2007.10.005

Cited by 506 publications

(278 citation statements)

References 54 publications

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“…Grinding is a manufacturing process with unsteady process behavior, whose complex characteristics determine the technological output and quality (Krajnik, Kopac, & Sluga, 2005;Malkin & Guo, 2007). Grinding is actually a finishing process used to improve surface finish, abrade hard materials, and tighten the tolerance on flat and cylindrical surfaces by removing a small amount of material.…”

Section: Introductionmentioning

confidence: 99%

Artificial Neural Network Modeling of Grinding of Ductile Cast Iron using Water Based SiO2 Nanocoolant

Rahman¹,

Kadirgama²,

Salwani³

2014

Int J Automot Mech Eng

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This paper presents optimization of the grinding progress of ductile cast iron using water-based SiO 2 nanocoolant. Conventional and water-based nanocoolant grinding was performed using a precision surface grinding machine. The study is aimed to investigate the effect of table speed and depth of cut on the surface roughness and material removal rate (MRR). Mathematical modeling is developed using the response surface method. An artificial neural network model is developed for predicting the surface roughness and MRR. Multi-layer perception and a batch back propagation algorithm are used. MLP is a gradient descent technique to minimize the error through a particular training pattern in which it adjusts the weight by a small amount at a time. From the experiment, the depth of cut is directly proportional to the surface roughness, but the table speed is inversely proportional to the surface roughness. The higher the value of the depth of cut, the lower the value of MRR, and vice versa for the table speed. It is concluded that the surface quality together with the material removal rate are the most affected by the depth of cut(s) and table speed.

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Section: Introductionmentioning

confidence: 99%

Artificial Neural Network Modeling of Grinding of Ductile Cast Iron using Water Based SiO2 Nanocoolant

Rahman¹,

Kadirgama²,

Salwani³

2014

Int J Automot Mech Eng

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“…方法测量获得的砂轮复合体热接触系数值并不准确，因为这两种方法测量获得的数值结果差异较大。毛聪等 [2][3] 在综合热源分布模型基础上，建立了平面磨削温度场理论计算公式，包括顺磨削与逆磨削。ROWE [4] 、MALKIN [5] 、GUO 等 [6] 分别建立了基于矩形或三角形热流密度分布的平面磨削温度场理论计算方法。MOHAMMADJAFAR 等 [7] 通过考察 MQL 平面磨削加工中各散热因素的影响，确定了 MQL 磨削状态下的对流换热系数，并建立了 MQL 状态下的磨削温度理论计算公式。谢贵芝等 [8] …”

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“…、磨粒-工件接触热量分配比例模型 [11][12] 和单颗磨粒热量分配比例模型 [5,13,15] ，都是比较成熟的理论模型。如图 2a 所示，成形磨削中的平面 AB 和平面 EF，都属于普通平面磨削加工。加工过程中，冷却液能够通过点 A 和点 F 处的半敞开式结构进入磨削加工区，但是由于接触弧区的磨削高温，冷却液并不能起到有效的冷却作用。单颗磨粒热量分配比例模型既适用于普通磨削加工，也适用于缓进给磨削加工，适用于不同磨削加工用量与冷却方式 [13,15] …”

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Analytical and Experimental Investigation of Temperature in Form Grinding

Guo¹

2018

JME

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Abstract：Based on the thermal analysis of surface grinding, according to triangular heat flux and one-dimensional linear heat conduction, a numerical model for temperature calculation in form grinding is set up. Grinding burn was most likely to happen at the place of the junction of two adjacent planes in form grinding, the coupling effect of heat source at the junction is investigated and the reason could be quantitative analyzed by this model. According to the mathematical model of energy partition ratio and real contact arc length in surface grinding, the computational method of energy partition ratio in form grinding which includes plane and inclined plane grinding is determined. Experimental measuring method of the temperature in form grinding is designed; the numerical model for temperature calculation in form grinding had been verified by tests result. The result indicated that with the coupling effect of heat source in form grinding, the junction had the highest temperature rise which would induce grinding burn.

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“…The thermal physics of the grinding process is highly elaborated in the recent literature [29,30]. There are many mathematical models describing the temperature distribution during grinding of metals and ceramics [31][32][33][34].…”

Section: Introductionmentioning

confidence: 99%

Modeling and analysis of temperature distribution in the multilayer metal composite structures in grinding

Pashnyov

Pimenov

Ердаков

et al. 2017

Int J Adv Manuf Technol

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The article covers a mathematical model of a temperature distribution in the three-layer metal composite structures when grinding their working layers. The computer program TEMSS, created on the basis of thermal models, allows calculation of all the characteristics of the temperature distribution in the layers of the metal composite structure, depending on the system structure, material properties of its layers, grinding and machining conditions, and duration. The work establishes the adequacy of the developed mathematical model of the temperature distribution when grinding the metal composite systems. The article covers the analysis of standard metal composite systems with Loctite, Chester molecular, and Devcon polymers on the basis of the temperature distribution model, revealing the influence of lamination on the nature of the temperature distribution. Critical temperatures are defined that determine the occurrence of thermal grinding defects in the metal composite system, including their dependencies on processing conditions and the system structure. Thus, it is found that when grinding a working steel layer of the composite system using the standard grinding conditions recommended in the reference handbooks for steel workpieces, the temperature in the working and polymer-composite layers, as a rule, exceeds the threshold values for these materials.

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Thermal Analysis of Grinding

Cited by 506 publications

References 54 publications

Artificial Neural Network Modeling of Grinding of Ductile Cast Iron using Water Based SiO2 Nanocoolant

Artificial Neural Network Modeling of Grinding of Ductile Cast Iron using Water Based SiO2 Nanocoolant

Analytical and Experimental Investigation of Temperature in Form Grinding

Modeling and analysis of temperature distribution in the multilayer metal composite structures in grinding

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