Development of a Transient Energy Prediction Model for Machine Tools

Pawanr, Shailendra; Garg, Girish Kant; Routroy, Srikanta

doi:10.1016/j.procir.2021.01.174

Cited by 11 publications

(7 citation statements)

References 14 publications

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“…In addition, other criteria can be used for classification. Pawanr et al [65] analyzed the steady-state and transient EC during machining and plotted a typical power curve, including steady-state and transient EC, as shown in Figure 4. Reference [65] divides the total EC of MT (Etotal) into the sum of steady-state EC (Esteady) and transient EC (Etransient).…”

Section: Energy Consumption Modeling Methods For Cnc Machine Toolsmentioning

confidence: 99%

“…Pawanr et al [65] analyzed the steady-state and transient EC during machining and plotted a typical power curve, including steady-state and transient EC, as shown in Figure 4. Reference [65] divides the total EC of MT (Etotal) into the sum of steady-state EC (Esteady) and transient EC (Etransient). Steady-state EC is the sum of EC in different steady states, and transient EC is the sum of EC in different transient states, which is calculated as follows:…”

Section: Energy Consumption Modeling Methods For Cnc Machine Toolsmentioning

confidence: 99%

“…The above research shows that the key to analyzing and modeling the composition Reference [65] divides the total EC of MT (E total ) into the sum of steady-state EC (E steady ) and transient EC (E transient ). Steady-state EC is the sum of EC in different steady states, and transient EC is the sum of EC in different transient states, which is calculated as follows:…”

Section: Energy Consumption Modeling Methods For Cnc Machine Toolsmentioning

confidence: 99%

See 2 more Smart Citations

Review on Design Research in CNC Machine Tools Based on Energy Consumption

Wu,

Wang,

Deng

et al. 2024

Sustainability

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CNC machine tools play an important role in manufacturing and are characterized by high total energy consumption and low energy efficiency. The energy consumption characteristics of the machine tool itself determine the total energy consumption and pollutant emission during its service life. Therefore, it is particularly important to design machine tools with energy consumption as the optimization target to analyze the composition of energy consumption and related characteristics, build a corresponding model based on reliability verification, guide the structural design and optimization according to the model, and ultimately use the evaluation system to evaluate and judge the overall energy consumption. In this paper, from four perspectives—the composition of the energy consumption of machine tools, modeling methods, design and optimization methods, and evaluation methods—with energy consumption optimization as the entry point, we analyze the research on CNC machine tools based on energy consumption around the world. The research results indicate that we should look forward to the role of energy consumption in the design of machine tools.

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Section: Energy Consumption Modeling Methods For Cnc Machine Toolsmentioning

confidence: 99%

Section: Energy Consumption Modeling Methods For Cnc Machine Toolsmentioning

confidence: 99%

Section: Energy Consumption Modeling Methods For Cnc Machine Toolsmentioning

confidence: 99%

See 1 more Smart Citation

Review on Design Research in CNC Machine Tools Based on Energy Consumption

Wu,

Wang,

Deng

et al. 2024

Sustainability

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show abstract

“…Based on the study of energy consumption in the milling process of AISI 304 stainless steel, Yu et al [19] establish an empirical model of specific energy consumption of machine tools considering tool wear and workpiece surface hardness. Pawanr et al [20] establish an empirical model to predict the transient energy consumption of machine tools. Zhao et al [21] develop an empirical model of specific cutting energy considering tool wear.…”

Section: Introductionmentioning

confidence: 99%

Cutting Energy Consumption Modelling of End Milling Cutter Coated with AlTiCrN

Meng

Sun

et al. 2023

Coatings

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As an indispensable piece of equipment in the manufacturing industry, the machine tool is low-energy-efficiency and high-energy-consumption in operation. Therefore, it is urgent to establish a cutting energy consumption model to guide production and reduce the energy consumption of the machining process. In this paper, the AlTiCrN-coated cutting tool is taken as the object of study, and the cutting energy consumption model is established. The cutting energy consumption model is composed of a machining time model and a cutting power model. The cutting power model can be divided into the shear deformation power model of the workpiece, the friction power model of the flank surface and the friction power model of the rake surface. The influence of the edge shape is taken into account in the establishment of the friction power model of the flank surface. The machining time model considering the S-type acceleration and deceleration stage is established. The accuracy of the model was verified by experiments. Experimental results show that the model has high accuracy. The Taguchi method was used to carry out the numerical experiment with the cutting energy consumption of the machine tool as the response. The influences of cutting parameters on energy consumption are analyzed. Cutting width is the most important factor, followed by cutting depth, then feed rate and spindle speed. The physical principle of the influence of cutting parameters on cutting energy consumption is revealed.

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“…Yoon et al [28] proposed a model of total energy consumption by dividing it into basic energy, spindle rotational energy, worktable feed energy and cutting energy. Similarly, the authors [30][31][32][33] have made significant efforts to accurately evaluate the energy consumption of the machining process by targeting different domains.…”

Section: Introductionmentioning

confidence: 99%

Development of an Empirical Model for Variable Power Consumption Machining Processes: A Case of End Facing

2021

Self Cite

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Machining processes contribute significantly to the energy consumption of manufacturing industries, and reducing their energy consumption is a major challenge to achieve sustainable and cleaner manufacturing. The accurate and practical energy consumption prediction models for a machine tool are the foundation for sustainable and cleaner manufacturing. The machining of a workpiece mainly involves constant-power consumption machining processes e.g. turning and variablepower consumption machining processes e.g. end facing. The cutting power characteristics of the variable-power consumption machining processes are more complex and dynamic, due to change in one of the process parameters (e.g. cutting speed during end facing) than the constant-power consumption machining processes, and have received limited attention in the literature. In the present work, an empirical model is developed to predict the cutting energy consumption of the variable-power consumption machining process i.e. end facing. The end facing experiments were performed on a Computer Numerical Control Lathe in the dry and wet environment to obtain the fitting constants of the developed model. Four validation experiments were performed to confirm the prediction capability of the developed model. The validation experiments confirm that the accuracy of the developed model is more than 96%. Further, the predicted power profiles were in good agreement with the measured power profiles, which shows that the developed model satisfactorily encompasses the influences of the process parameters on the cutting power consumption.

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Development of a Transient Energy Prediction Model for Machine Tools

Cited by 11 publications

References 14 publications

Review on Design Research in CNC Machine Tools Based on Energy Consumption

Review on Design Research in CNC Machine Tools Based on Energy Consumption

Cutting Energy Consumption Modelling of End Milling Cutter Coated with AlTiCrN

Development of an Empirical Model for Variable Power Consumption Machining Processes: A Case of End Facing

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