For high-speed heavy-duty gears in operation is prone to high tooth surface temperature rise and thus produce tooth surface gluing leading to transmission failure and other adverse effects,but in the gear optimization...For high-speed heavy-duty gears in operation is prone to high tooth surface temperature rise and thus produce tooth surface gluing leading to transmission failure and other adverse effects,but in the gear optimization design and little consideration of thermal transmission errors and thermal resonance and other factors,while the conventional multi-objective optimization design methods are difficult to achieve the optimum of each objective.Based on this,the paper proposes a gear multi-objective reliability optimisation design method based on the APCK-SORA model.The PC-Kriging model and the adaptive k-means clustering method are combined to construct an adaptive reliability analysis method(APCK for short),which is then integrated with the SORA optimisation algorithm.The objective function is the lightweight of gear pair,the maximum overlap degree and the maximum anti-glue strength;the basic parameters of the gear and the sensitivity parameters affecting the thermal deformation and thermal resonance of the gear are used as design variables;the amount of thermal deformation and thermal resonance,as well as the contact strength of the tooth face and the bending strength of the tooth root are used as constraints;the optimisation results show that:the mass of the gear is reduced by 0.13kg,the degree of overlap is increased by 0.016 and the coefficient of safety against galling Compared with other methods,the proposed method is more efficient than the other methods in meeting the multi-objective reliability design requirements of lightweighting,ensuring smoothness and anti-galling capability of high-speed heavy-duty gears.展开更多
Automated manual transmissions,which usually adopt synchronizers to complete the gear shift process,have many advantageous features.However,the torque interruption and the challenging control objectives during the gea...Automated manual transmissions,which usually adopt synchronizers to complete the gear shift process,have many advantageous features.However,the torque interruption and the challenging control objectives during the gear shift process limit its industrial application,especially for the power-on gear downshift.This paper proposes a model predic-tive control(MPC)method to control the clutch engagement process and effectively shorten the torque interruption,consequently enhancing the gear downshift quality.During the control law deduction,the proposed MPC also accounts for time-domain constraints explicitly.After the control law was deduced,it was validated through simulations under two typical power-on gear downshift working scenarios.Both of the simulation results demonstrate that the controller proposed in this paper can shorten the torque interruption time during power-on gear downshifts while minimizing vehicle jerk for overall satisfactory drivability.展开更多
基金financed with the means of Yingkou Institute of Technology Introduction of doctors to start the fund project (YJRC202109).
文摘For high-speed heavy-duty gears in operation is prone to high tooth surface temperature rise and thus produce tooth surface gluing leading to transmission failure and other adverse effects,but in the gear optimization design and little consideration of thermal transmission errors and thermal resonance and other factors,while the conventional multi-objective optimization design methods are difficult to achieve the optimum of each objective.Based on this,the paper proposes a gear multi-objective reliability optimisation design method based on the APCK-SORA model.The PC-Kriging model and the adaptive k-means clustering method are combined to construct an adaptive reliability analysis method(APCK for short),which is then integrated with the SORA optimisation algorithm.The objective function is the lightweight of gear pair,the maximum overlap degree and the maximum anti-glue strength;the basic parameters of the gear and the sensitivity parameters affecting the thermal deformation and thermal resonance of the gear are used as design variables;the amount of thermal deformation and thermal resonance,as well as the contact strength of the tooth face and the bending strength of the tooth root are used as constraints;the optimisation results show that:the mass of the gear is reduced by 0.13kg,the degree of overlap is increased by 0.016 and the coefficient of safety against galling Compared with other methods,the proposed method is more efficient than the other methods in meeting the multi-objective reliability design requirements of lightweighting,ensuring smoothness and anti-galling capability of high-speed heavy-duty gears.
基金supported by the National Nature Science Foundation of China(61520106008)China Automobile Industry Innovation and Development Joint Fund(U1664257)Jilin Province Department of Education“Thirteen Five”scientific and technological research projects(JJKH20170379KJ).
文摘Automated manual transmissions,which usually adopt synchronizers to complete the gear shift process,have many advantageous features.However,the torque interruption and the challenging control objectives during the gear shift process limit its industrial application,especially for the power-on gear downshift.This paper proposes a model predic-tive control(MPC)method to control the clutch engagement process and effectively shorten the torque interruption,consequently enhancing the gear downshift quality.During the control law deduction,the proposed MPC also accounts for time-domain constraints explicitly.After the control law was deduced,it was validated through simulations under two typical power-on gear downshift working scenarios.Both of the simulation results demonstrate that the controller proposed in this paper can shorten the torque interruption time during power-on gear downshifts while minimizing vehicle jerk for overall satisfactory drivability.
