Therblig-based energy demand modeling methodology of machining process to support intelligent manufacturing

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

“…However, the energy modeling method focused on drilling processes, especially for the modeling of material-drilling power, has not been well studied [19]. The material-drilling power is the tool-tip cutting power, and is solely related to the material removal during drilling process [20]. The material-drilling power, as an important part of total drilling power, establishing its Unfortunately, extensive studies have revealed that the energy efficiency of machine tools is generally less than 30% [11][12][13].…”

“…The material-drilling power is defined as the tool-tip cutting power during drilling process, which is solely related to the material removal [20]. The material-drilling power ( md P ) is an important part of total drilling power ( is the power consumed by the feed driving system during Z-axis feeding.…”

“…The material-drilling power ( md P ) is an important part of total drilling power ( is the power consumed by the feed driving system during Z-axis feeding. The power models of standby operating, spraying cutting flood, spindle rotating and Z-axis feeding have been researched in our previous work [19,20], so the establishment of the above power models ( so P , sf P , sr P and zf P ) are out of the scope of this paper while the establishment of the material-drilling power model ( md P ) is the focus in this paper. Moreover, the standby operating power, spraying cutting flood power, spindle rotating power, Z-axis feeding power constitute the air cutting power ( air P ), which is the power consumed while the cutter approaching the workpiece with the designed tool path and cutting parameters before actual material removal [35].…”

Energy Demand Modeling Methodology of Key State Transitions of Turning Processes

“…Energy demand of each state transition is analyzed by means of experiment and the key state transitions are identified according to the Pareto principle. Taking CK6153i CNC lathe as an example, the energy demand of each state transition can be obtained by using the power and energy acquisition experimental device built by our research group [12]. The experimental device is composed of three current sensors, three voltage sensors, two NI-9215 data acquisition cards and one compact DAQ crate, etc.…”

“…Triggered by the necessity to improve the energy efficiency and environmental performance of the manufacturing industry, energy modeling [11][12][13][14][15][16], energy-efficiency improvement [17][18][19][20][21][22] and carbon-emission reduction [23,24] of the manufacturing industry have been studied. Experiments show that power peaks will be caused by state transitions during the machining process [25,26], as shown in Figure 1.…”