Optimal workpiece orientation to reduce the energy consumption of a milling process

Campatelli, Gianni; Scippa, Antonio; Lorenzini, Lorenzo; Sato, Ryuta

doi:10.1007/s40684-015-0001-3

Cited by 45 publications

(15 citation statements)

References 28 publications

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“…Machining systems, as some of the most important and widespread subsystems in manufacturing [8], play a key role in energy-saving for the manufacturing industry [9]. Moreover, a study conducted by Gutowski showed a very interesting result [10]: CO 2 emissions of one computer numerical control (CNC) machine tool (22 kW spindle power) in one year are equivalent to the CO 2 emissions of 61 SUVs (20.7 mpg, 12,000 miles/year).…”

Section: Figurementioning

confidence: 99%

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Establishment of an Improved Material-Drilling Power Model to Support Energy Management of Drilling Processes

et al. 2018

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Drilling processes, as some of the most widely used machining processes in the manufacturing industry, play an important role in manufacturing process energy-saving programs. However, research focus on energy modeling of drilling processes, especially for the modeling of material-drilling power, are really scarce. To bridge this gap, an improved material-drilling power model is proposed in this paper. The obtained material-drilling power model can improve the accuracy of the material-drilling power and lay a good foundation for energy modeling and optimization of drilling processes. Finally, experimental studies were carried out on an XHK-714F CNC machining center (Hangzhou HangJi Machine Tool Co., Ltd., Hangzhou, China) and a JTVM6540 CNC milling machine (Jinan Third Machine Tool Co., Ltd., Jinan, China). The results showed that predictive accuracies with the proposed model are generally higher than 96% for all the test cases.

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Section: Figurementioning

confidence: 99%

“…Turning, milling, drilling and grinding processes are widely used in the manufacturing industry [8]. Unfortunately, a large number of existing studies have shown that the energy efficiencies of the above machining processes are generally less than 30% [11][12][13]34].…”

Section: Literature Reviewmentioning

confidence: 99%

Establishment of an Improved Material-Drilling Power Model to Support Energy Management of Drilling Processes

et al. 2018

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“…14,18 And in this study, the results of the effects of the various machining parameters on MRR of the AEDM-HS process were obtained through orthogonal analysis. The analysis examined the pulse duration, working current and duty cycle, whereas the applied voltage and the tool electrode rotation speed were fixed at 80V and 15000 rpm respectively.…”

Section: Orthogonal Experiments On Mrrmentioning

confidence: 99%

High speed abrasive electrical discharge machining of particulate reinforced metal matrix composites

Liu

Yue

2015

Int. J. Precis. Eng. Manuf.

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A high speed abrasive electrical discharge machining (AEDM-HS) process has been developed to improve the performance and save the machining energy of the conventional EDM process in machining particulate reinforced metal matrix composites (MMCs). The AEDM-HS process functions under a combined action of spark erosion and direct mechanical grinding. A set of experiments was conducted and the results showed that the material removal rate (MRR) of AEDM-HS was much higher than that of EDM under the experimental conditions of this study. Moreover, the surface roughness value (Ra) measured for the AEDM-HS specimen was about six times smaller than that of the specimen machined without high speed abrasive action (i.e., EDM alone). The material removal mechanism of this novel process has been analyzed by means of single-pulse experimentation. And the relative importance of the various processing parameters on MRR was established using orthogonal analysis. The results showed that the MRR is influenced by the machining factors in the order of duty cycle > current > pulse duration. This study showed that the AEDM-HS process is superior to the EDM process for machining particulate reinforced MMCs, where a higher machining efficiency and a better surface quality can be obtained.

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“…Thus, the reduction of energy consumption in the manufacturing field is required. From this point of view, the energy consumption in manufacturing systems and machine tools has been measured and investigated by many researchers [1][2][3][4][5][6][7]. For example, Lee et al [3] developed an energy model of a machine tool and estimated the total energy consumption of variable machine tools by decoupling the cutting power.…”

Section: Introductionmentioning

confidence: 99%

Simulation of Energy Consumption of Machine Tool Motion for 3-Axis MachiningSimulation of Energy Consumption of Machine Tool Motion for 3-Axis Machining

Hayashi¹,

Kimura²,

Nakao³

2017

JEPE

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In recent years, the shortage of the energy source is a serious problem in the world. Thus, the reduction of the energy consumption in manufacturing fields has been demanded. The energy consumption of NC machine tools has been also focused on. However, the energy consumption of the machine tool motion of each control axis during machining process has not been considered. In this study, we focus on the energy consumption during the machining process and we proposed the simulation model of the energy consumption of the feed drive systems of NC machine tool. Based on the proposed model, the energy consumption during the machining motion was simulated and evaluated. From these results, if the CAD/CAM systems can generate the tool paths considering about the energy consumption of NC machine tools, the energy consumption will be reduced without replacing or overhaul the machine tools.

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Optimal workpiece orientation to reduce the energy consumption of a milling process

Abstract: Rank JIF (%) Mechanical

Cited by 45 publications

References 28 publications

Establishment of an Improved Material-Drilling Power Model to Support Energy Management of Drilling Processes

Establishment of an Improved Material-Drilling Power Model to Support Energy Management of Drilling Processes

High speed abrasive electrical discharge machining of particulate reinforced metal matrix composites

Simulation of Energy Consumption of Machine Tool Motion for 3-Axis MachiningSimulation of Energy Consumption of Machine Tool Motion for 3-Axis Machining

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