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Grinding is widely used in mechanical manufacturing to obtain both precision and part requirements. In order to achieve carbon efficiency improvement and save costs, carbon emission and processing cost models of the grinding process are established in this study. In the modeling process, a speed-change-based adjustment function was introduced to dynamically derive the change of the target model. The carbon emission model was derived from the grinding force using regression. Considering the constraints of machine tool equipment performance and processing quality requirements, the grinding wheel's linear velocity, cutting feed rate, and the rotation speed of the workpiece were selected as the optimization variables, and the improved NSGA-II algorithm was applied to solve the optimization model. Finally, fuzzy matter element analysis was used to evaluate the most optimal processing plan.

The flexible parts of the dump truck such as the suspension, tires and cargo box can affect the roll stability of the vehicle during the lifting process. In order to improve the adverse effects of these flexible parts on the roll stability of the dump truck during lifting, and to prevent the vehicle from rolling over, this paper proposes an anti-rollover warning control method based on active suspension. The nonlinear model of the lift and roll of the dump truck is established by considering the influence of elastic deformation of the tire, suspension, and torsional deformation of the cargo box on the roll of the vehicle, and dynamic characteristics of the nonlinear model are verified in the MATLAB/Simulink simulation environment. A fuzzy-PID controller is designed to make decisions on the active suspension control force as well as the ratio of the vertical load of the non-bearing wheel to the total weight of the vehicle is used as the rollover evaluation index to realize the rollover warning. Furthermore, the improvement effect of the control system is analyzed from the aspects of rollover evaluation index, roll angle and critical lifting angle. Finally, the simulation results show that the proposed method effectively improves the roll stability of the dump truck during the lifting operation and can widen the threshold range of the critical lift angle to a certain extent and prevent the vehicle from rolling over.

In order to solve the problems of flexible process route and workshop scheduling scheme changes frequently in the multi-variety small batch production mode, a multiprocess route scheduling optimization model with carbon emissions and cost as the multi-objective was established. At the same time, it is considered to optimize under the existing machine tool conditions in the workshop, then the theory of logistics intensity between equipment is introduced into the model. By designing efficient constraints to ensure reasonable processing logic, and then applying multilayer coding genetic algorithm to solve the case. The optimization results under single-target and multi-target conditions are contrasted and analyzed, so as to guide enterprises to choose a reasonable scheduling plan, improve the carbon efficiency of the production line, and save costs.

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