Previous studies highlighted the significance of optimizing the cutting blade for crop harvesting and size reduction.This study investigated the effect of blade sliding cutting angle and stem level on cutting energy o...Previous studies highlighted the significance of optimizing the cutting blade for crop harvesting and size reduction.This study investigated the effect of blade sliding cutting angle and stem level on cutting energy of single rice stem using a cutting apparatus that combined with texture analyzer.The cutting energy was determined for four blade angles.The results showed that the average cutting energy was the highest for cutting stem upper level and the lowest for cutting stem lower level.It was found that the peak cutting force per unit stem area decreased with blade sliding cutting angle increased.However,the least average cutting energy was 9.12 J/mm^(2) of 45°sliding angle when cutting without counter support blade and 32.3%less than that of 60°sliding angle.When cutting with counter support blade,the cutting energy per unit stem area varied from 6.57 to 12.54 J/mm 2 as the sliding angle varied from 0°to 60°,whereas the peak cutting force per unit stem area varied from 2.46 to 0.98 N/mm 2.It was concluded that the optimal sliding cutting angle was 45°without support blade and 30°with support blade,respectively.The experiments on rice stems in this study indicated that optimization of sliding cutting angle and stem level have a significant effect on cutting energy savings.Also this study emphasized the need to further investigate the effect of the case of more moisture content and cutting speed on the cutting energy to help in selection of optimum cutting speed and harvesting time.展开更多
A prediction model for net cutting specific energy in computer numerical control(CNC)turning based on turning parameters and tool wear is developed.The model can predict the net cutting energy consumption before turni...A prediction model for net cutting specific energy in computer numerical control(CNC)turning based on turning parameters and tool wear is developed.The model can predict the net cutting energy consumption before turning.The prediction accuracy of the model is verified in AISI 1045 steel turning.The comparative experimental results show that the prediction accuracy of the model is significantly improved because the influence of tool wear is taken into account.Finally,the influences of turning parameters and tool wear on net cutting specific energy are studied.With the increase of cutting depth,the net cutting specific energy decreases.With the increase of spindle speed,the additional load loss power of spindle drive system increases,so the net cutting specific energy increases.The net cutting specific energy increases approximately linearly with tool wear.The results are helpful to formulate efficient and energy-saving CNC turning schemes and realize low‑carbon manufacturing.展开更多
To improve the milling surface quality of the Al-Li alloy thin-wall workpieces and reduce the cutting energy consumption.Experimental research on the milling processing of AA2195 Al-Li alloy thin-wall workpieces based...To improve the milling surface quality of the Al-Li alloy thin-wall workpieces and reduce the cutting energy consumption.Experimental research on the milling processing of AA2195 Al-Li alloy thin-wall workpieces based on Response Surface Methodology was carried out.The single factor and interaction of milling parameters on surface roughness and specific cutting energy were analyzed,and the multi-objective optimization model was constructed.The Multiobjective Particle Swarm Optimization algorithm introducing the Chaos Local Search algorithm and the adaptive inertial weight was applied to determine the optimal combination of milling parameters.It was observed that surface roughness was mainly influenced by feed per tooth,and specific cutting energy was negatively correlated with feed per tooth,radial cutting depth and axial cutting depth,while cutting speed has a non-significant influence on specific cutting energy.The optimal combination of milling parameters with different priorities was obtained.The experimental results showed that the maximum relative error of measured and predicted values was 8.05%,and the model had high reliability,which ensured the low surface roughness and cutting energy consumption.It was of great guiding significance for the success of Al-Li alloy thin-wall milling with a high precision and energy efficiency.展开更多
As a new approach to analyze shear behaviors in the shear plane and chip-tool friction behaviors in the chip-toolcontact region during an end milling process,this paper introduces a method to transform an up-end milli...As a new approach to analyze shear behaviors in the shear plane and chip-tool friction behaviors in the chip-toolcontact region during an end milling process,this paper introduces a method to transform an up-end milling processto an equivalent oblique cutting process.In this approach,varying undeformed chip thicknesses and cutting forcesin the up-end milling process are replaced with the equivalent of oblique cutting ones.Experimental investigationsfor Inconel 718 were performed to verify the presented model.展开更多
Specific energy consumption is an important indicatorfora better understanding of the machinability of materials.The present study aims to estimate the specific energy consumption for abrasive metal cutting with ultra...Specific energy consumption is an important indicatorfora better understanding of the machinability of materials.The present study aims to estimate the specific energy consumption for abrasive metal cutting with ultrathin discs at comparatively low and medium feed rates.Using an experimental technique,the cutting power was measured at four predefined feed rates for S235JR,intermetallic Fe-Al(40%),and C45K with different thermal treatments.The variation in the specific energy consumption with the material removal rate was analyzed through an empirical model,which enabled us to distinguish three phenomena of energy dissipation during material removal.The thermal treatment and mechanical properties of materials have a significant impact on the energy consumption pattern,its corresponding components,and cutting power.Ductile materials consume more specific cutting energy than brttle materials.The specific cutting energy is the minimum energy required to remove the material,and plowing energy is found to be the most significant phenomenon of energy dissipation.展开更多
Based on the two existing abrasive water-jet（AWJ） systems, the dia-jet （or pre-jet） and the post-jet, a new type of abrasive water-jet system is put forward, which combines the dia-jet＇s advantage, low operating ...Based on the two existing abrasive water-jet（AWJ） systems, the dia-jet （or pre-jet） and the post-jet, a new type of abrasive water-jet system is put forward, which combines the dia-jet＇s advantage, low operating system pressure, slender stream jet, and more concentrative abrasive in the blended stream, with merits of post-jet, the less sophisticate apparatus, successive supply of abrasives. The theoretic analysis is brought out in detail, and the nozzle system structure is concisely illustrated. Its relevant experiment results are demonstrated, proving that this new system is effective in various aspects, enlarging penetrating capability without raising system pressure, saving machining power supply, lessening energy loss, etc.展开更多
Machine tools are one of the most representative machining systems in manufacturing.The energy consumption of machine tools has been a research hotspot and frontier for green low-carbon manufacturing.However,previous ...Machine tools are one of the most representative machining systems in manufacturing.The energy consumption of machine tools has been a research hotspot and frontier for green low-carbon manufacturing.However,previous research merely regarded the material removal(MR)energy as useful energy consumption and ignored the useful energy consumed by thermal control(TC)for maintaining internal thermal stability and machining accuracy.In pursuit of energy-efficient,high-precision machining,more attention should be paid to the energy consumption of TC and the coupling relationship between MR and TC.Hence,the cutting energy efficiency model considering the coupling relationship is established based on the law of conservation of energy.An index of energy consumption ratio of TC is proposed to characterize its effect on total energy usage.Furthermore,the heat characteristics are analyzed,which can be adopted to represent machining accuracy.Experimental study indicates that TC is the main energy-consuming process of the precision milling machine tool,which overwhelms the energy consumption of MR.The forced cooling mode of TC results in a 7%reduction in cutting energy efficiency.Regression analysis shows that heat dissipation positively contributes 54.1%to machining accuracy,whereas heat generation negatively contributes 45.9%.This paper reveals the coupling effect of MR and TC on energy efficiency and machining accuracy.It can provide a foundation for energyefficient,high-precision machining of machine tools.展开更多
The major problem in current online diagnosis and analysis for power system oscillation is mainly concerned with finding the oscillation source in a fast and correct way using the data collected by the Wide Area Measu...The major problem in current online diagnosis and analysis for power system oscillation is mainly concerned with finding the oscillation source in a fast and correct way using the data collected by the Wide Area Measurement System(WAMS).This paper for the first time proposes a scheme of cut set energy based on WAMS.Independent of accurate parameters,the scheme can make full use of WAMS data based on cut set energy construction and fast calculation to locate the source during oscillation.Afterwards,a scheme of torque decomposition is proposed,based on which the controller’s torque can be divided into damping torque and synchronous torque by calculation through WAMS data,and this paper puts forward the abnormal response and simulation models calibration of influential controllers.Analysis of an oscillation case shows how the cut set energy scheme and the torque decomposition scheme are applied in a real-world power system,and the schemes are proven to be reliable and practical in identifying and locating oscillation sources.展开更多
基金This study was funded by the Chinese Government through the Anhui Agricultural University within a program titled“The National Key Research and Development Program of China(No.2017YFD0301303)”the China’s Ministry of Agriculture through the China Agricultural University with a program titled“China’s Ministry of Agriculture,Agricultural Public Welfare Industry Special Project(No.201503136)”.
文摘Previous studies highlighted the significance of optimizing the cutting blade for crop harvesting and size reduction.This study investigated the effect of blade sliding cutting angle and stem level on cutting energy of single rice stem using a cutting apparatus that combined with texture analyzer.The cutting energy was determined for four blade angles.The results showed that the average cutting energy was the highest for cutting stem upper level and the lowest for cutting stem lower level.It was found that the peak cutting force per unit stem area decreased with blade sliding cutting angle increased.However,the least average cutting energy was 9.12 J/mm^(2) of 45°sliding angle when cutting without counter support blade and 32.3%less than that of 60°sliding angle.When cutting with counter support blade,the cutting energy per unit stem area varied from 6.57 to 12.54 J/mm 2 as the sliding angle varied from 0°to 60°,whereas the peak cutting force per unit stem area varied from 2.46 to 0.98 N/mm 2.It was concluded that the optimal sliding cutting angle was 45°without support blade and 30°with support blade,respectively.The experiments on rice stems in this study indicated that optimization of sliding cutting angle and stem level have a significant effect on cutting energy savings.Also this study emphasized the need to further investigate the effect of the case of more moisture content and cutting speed on the cutting energy to help in selection of optimum cutting speed and harvesting time.
基金supported by the Project of Shandong Province Natural Science Foundation of China (No. ZR2016EEM29)the Project of Shandong Province Key Research Development of China (No.2017GGX30114)。
文摘A prediction model for net cutting specific energy in computer numerical control(CNC)turning based on turning parameters and tool wear is developed.The model can predict the net cutting energy consumption before turning.The prediction accuracy of the model is verified in AISI 1045 steel turning.The comparative experimental results show that the prediction accuracy of the model is significantly improved because the influence of tool wear is taken into account.Finally,the influences of turning parameters and tool wear on net cutting specific energy are studied.With the increase of cutting depth,the net cutting specific energy decreases.With the increase of spindle speed,the additional load loss power of spindle drive system increases,so the net cutting specific energy increases.The net cutting specific energy increases approximately linearly with tool wear.The results are helpful to formulate efficient and energy-saving CNC turning schemes and realize low‑carbon manufacturing.
基金This research is supported by the National Natural Science Foundation of China(Grant Nos.51475087 and 51304105)the Natural Science Foundation of Liaoning Province(Grant No.20180550167)+1 种基金the Key Projects of Liaoning Province(Grant Nos.LJ2019ZL005 and LJ2017ZL001)the Oversea Training Project of High Level Innovation Team of Liaoning Province(Grant No.2018LNGXGJWPY-ZD001).
文摘To improve the milling surface quality of the Al-Li alloy thin-wall workpieces and reduce the cutting energy consumption.Experimental research on the milling processing of AA2195 Al-Li alloy thin-wall workpieces based on Response Surface Methodology was carried out.The single factor and interaction of milling parameters on surface roughness and specific cutting energy were analyzed,and the multi-objective optimization model was constructed.The Multiobjective Particle Swarm Optimization algorithm introducing the Chaos Local Search algorithm and the adaptive inertial weight was applied to determine the optimal combination of milling parameters.It was observed that surface roughness was mainly influenced by feed per tooth,and specific cutting energy was negatively correlated with feed per tooth,radial cutting depth and axial cutting depth,while cutting speed has a non-significant influence on specific cutting energy.The optimal combination of milling parameters with different priorities was obtained.The experimental results showed that the maximum relative error of measured and predicted values was 8.05%,and the model had high reliability,which ensured the low surface roughness and cutting energy consumption.It was of great guiding significance for the success of Al-Li alloy thin-wall milling with a high precision and energy efficiency.
文摘As a new approach to analyze shear behaviors in the shear plane and chip-tool friction behaviors in the chip-toolcontact region during an end milling process,this paper introduces a method to transform an up-end milling processto an equivalent oblique cutting process.In this approach,varying undeformed chip thicknesses and cutting forcesin the up-end milling process are replaced with the equivalent of oblique cutting ones.Experimental investigationsfor Inconel 718 were performed to verify the presented model.
文摘Specific energy consumption is an important indicatorfora better understanding of the machinability of materials.The present study aims to estimate the specific energy consumption for abrasive metal cutting with ultrathin discs at comparatively low and medium feed rates.Using an experimental technique,the cutting power was measured at four predefined feed rates for S235JR,intermetallic Fe-Al(40%),and C45K with different thermal treatments.The variation in the specific energy consumption with the material removal rate was analyzed through an empirical model,which enabled us to distinguish three phenomena of energy dissipation during material removal.The thermal treatment and mechanical properties of materials have a significant impact on the energy consumption pattern,its corresponding components,and cutting power.Ductile materials consume more specific cutting energy than brttle materials.The specific cutting energy is the minimum energy required to remove the material,and plowing energy is found to be the most significant phenomenon of energy dissipation.
文摘Based on the two existing abrasive water-jet（AWJ） systems, the dia-jet （or pre-jet） and the post-jet, a new type of abrasive water-jet system is put forward, which combines the dia-jet＇s advantage, low operating system pressure, slender stream jet, and more concentrative abrasive in the blended stream, with merits of post-jet, the less sophisticate apparatus, successive supply of abrasives. The theoretic analysis is brought out in detail, and the nozzle system structure is concisely illustrated. Its relevant experiment results are demonstrated, proving that this new system is effective in various aspects, enlarging penetrating capability without raising system pressure, saving machining power supply, lessening energy loss, etc.
基金This work was supported by the National Natural Science Foundation of China(Grant Nos.51975076 and 52105533)。
文摘Machine tools are one of the most representative machining systems in manufacturing.The energy consumption of machine tools has been a research hotspot and frontier for green low-carbon manufacturing.However,previous research merely regarded the material removal(MR)energy as useful energy consumption and ignored the useful energy consumed by thermal control(TC)for maintaining internal thermal stability and machining accuracy.In pursuit of energy-efficient,high-precision machining,more attention should be paid to the energy consumption of TC and the coupling relationship between MR and TC.Hence,the cutting energy efficiency model considering the coupling relationship is established based on the law of conservation of energy.An index of energy consumption ratio of TC is proposed to characterize its effect on total energy usage.Furthermore,the heat characteristics are analyzed,which can be adopted to represent machining accuracy.Experimental study indicates that TC is the main energy-consuming process of the precision milling machine tool,which overwhelms the energy consumption of MR.The forced cooling mode of TC results in a 7%reduction in cutting energy efficiency.Regression analysis shows that heat dissipation positively contributes 54.1%to machining accuracy,whereas heat generation negatively contributes 45.9%.This paper reveals the coupling effect of MR and TC on energy efficiency and machining accuracy.It can provide a foundation for energyefficient,high-precision machining of machine tools.
基金supported by the Science and Technology Project of the State Grid Corporation under Grant XT71-16-029。
文摘The major problem in current online diagnosis and analysis for power system oscillation is mainly concerned with finding the oscillation source in a fast and correct way using the data collected by the Wide Area Measurement System(WAMS).This paper for the first time proposes a scheme of cut set energy based on WAMS.Independent of accurate parameters,the scheme can make full use of WAMS data based on cut set energy construction and fast calculation to locate the source during oscillation.Afterwards,a scheme of torque decomposition is proposed,based on which the controller’s torque can be divided into damping torque and synchronous torque by calculation through WAMS data,and this paper puts forward the abnormal response and simulation models calibration of influential controllers.Analysis of an oscillation case shows how the cut set energy scheme and the torque decomposition scheme are applied in a real-world power system,and the schemes are proven to be reliable and practical in identifying and locating oscillation sources.
