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
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
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
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.
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.
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.