Experimental and finite element analysis of temperature and energy partition to the workpiece while grinding with a flexible robot

Tahvilian, Amir Masoud; Liu, Zhaoheng; Champliaud, Henri; Hazel, Bruce

doi:10.1016/j.jmatprotec.2013.07.002

Cited by 24 publications

(4 citation statements)

References 23 publications

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“…Studying the mechanism of grinding heat generation through the analysis of grinding temperature is an important aspect of grinding technology [58][59][60][61][62]. Due to the inherent complexity of the grinding process compared to other machining methods, the grinding temperature is influenced by numerous parameters, including grinding parameters, physical properties of workpiece materials, cooling mode and associated parameters, and the structure and properties of the grinding wheel [63][64][65][66][67][68][69][70][71][72][73][74][75]. As a result, developing a predictive model for the grinding temperature field poses a significant and challenging task.…”

Section: Introductionmentioning

confidence: 99%

Temperature field model in surface grinding: a comparative assessment

Yang,

Kong,

et al. 2023

Int. J. Extrem. Manuf.

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Grinding is a crucial process in machining workpieces because it plays a vital role in achieving the desired precision and surface quality. However, a significant technical challenge in grinding is the potential increase in temperature due to high specific energy, which can lead to surface thermal damage. Therefore, ensuring control over the surface integrity of workpieces during grinding becomes a critical concern. This necessitates the development of temperature field models that consider various parameters, such as workpiece materials, grinding wheels, grinding parameters, cooling methods, and media, to guide industrial production. This study thoroughly analyzes and summarizes grinding temperature field models. First, the theory of the grinding temperature field is investigated, classifying it into traditional models based on a continuous belt heat source and those based on a discrete heat source, depending on whether the heat source is uniform and continuous. Through this examination, a more accurate grinding temperature model that closely aligns with practical grinding conditions is derived. Subsequently, various grinding thermal models are summarized, including models for the heat source distribution, energy distribution proportional coefficient, and convective heat transfer coefficient. Through comprehensive research, the most widely recognized, utilized, and accurate model for each category is identified. The application of these grinding thermal models is reviewed, shedding light on the governing laws that dictate the influence of the heat source distribution, heat distribution, and convective heat transfer in the grinding arc zone on the grinding temperature field. Finally, considering the current issues in the field of grinding temperature, potential future research directions are proposed. The aim of this study is to provide theoretical guidance and technical support for predicting workpiece temperature and improving surface integrity.

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Section: Introductionmentioning

confidence: 99%

Temperature field model in surface grinding: a comparative assessment

Yang,

Kong,

et al. 2023

Int. J. Extrem. Manuf.

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“…The control of the peripheral velocity of the tool does not present difficulties, but it should be noted that this is a very important parameter on which the surface condition after machining depends. The result of an incorrectly selected velocity may be high roughness or overheating or scorching of the blade surface [17]. The feed velocity is the velocity of the tool movement relative to the blade or the blade relative to the tool -depending on which part is movable and which is fixed.…”

Section: Introductionmentioning

confidence: 99%

Robotic Grinding Process of Turboprop Engine Compressor Blades with Active Selection of Contact Force

et al. 2022

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The work presents a robotic system for grinding the blades of a turboprop engine compressor. The proprietary conceptual solution includes a data acquisition system based on a robotic 3D scanner, a neural decision system and a robot performing a grinding process with force control. The contact force of the tool to the blade was assumed as a variable and controlled process parameter. A neural network was used to generate the contact force on the basis of measured machining allowances on the blade. A virtual grid of several dozen regularly spaced points was placed on the surface of the blade. The neural network was learned the allowance-force dependence for the selected points, making it possible to select the proper contact force on the surface to be machined. The developed algorithm for the process of robotic grinding of the blades takes into account the necessity of ongoing quality control of the processing and the introduction of corrections in the process.

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“…The results showed that both models could accurately describe the surface grinding temperature field of the cup wheel. Tahvilian et al 10 proposed a heat distribution ratio model suitable for flexible robotic grinding by using simulation and experimental temperature matching methods. The results showed that the increase in feed rate and grinding power will cause the heat distribution ratio to decrease.…”

Section: Introductionmentioning

confidence: 99%

Research on variation of grinding temperature of wind turbine blade robotic grinding

Dai

Xiao-jun

Zhang

et al. 2020

Proceedings of the Institution of Mechanical Engineers, Part B:

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As a large composite curved surface component, the wind turbine blade is easy to suffer from grinding burn if the grinding parameters are improperly selected during the robot grinding process, which will seriously affect the surface grinding quality. In order to effectively predict the surface grinding temperature of robot grinding wind turbine blade, the curved surface grinding heat source model was established according to the material removal depth of any grinding point in the grinding contact area, and the temperature field under different grinding process parameters was numerically simulated using finite element method. The comparison between simulation and experiment indicates that the temperature on both sides of grinding contact area is higher than the middle temperature, and the maximum grinding temperature value appears on the cut-out side of the cup wheel. The maximum grinding temperature increases as increasing the wheel speed, feed rate and maximum grinding depth, feed rate is the biggest influence factor on the grinding temperature. The maximum grinding temperature of finite element simulation is in good agreement with the experimental results and the maximum relative error is <6%. The research results reveal the variation law between the curved surface grinding parameters and grinding temperature of curved surface grinding, which provides reference and basis for the prediction of grinding temperature of the wind turbine blade ground by robot.

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Experimental and finite element analysis of temperature and energy partition to the workpiece while grinding with a flexible robot

Cited by 24 publications

References 23 publications

Temperature field model in surface grinding: a comparative assessment

Temperature field model in surface grinding: a comparative assessment

Robotic Grinding Process of Turboprop Engine Compressor Blades with Active Selection of Contact Force

Research on variation of grinding temperature of wind turbine blade robotic grinding

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