A multi-objective modeling and optimization method for high efficiency, low energy, and economy

With the development of society, the world’s energy problems are becoming increasingly severe, and reducing energy consumption in manufacturing and improving energy efficiency in machining have become meaningful ways to reduce the energy burden. In view of the problems of high energy consumption, low time efficiency, and high economic cost in the grinding process of machining, we propose a method to evaluate the interrelationship between grinding time, grinding energy efficiency, and grinding cost comprehensively in the grinding process, the “3E” layer (efficiency layer, energy layer and economic layer), and establish a 3E multi-layer multi-objective optimization model from the perspective of energy, efficiency, and economy. The 3E multi-layer multi-objective optimization model is established by combining the grinding process with the Pareto optimal solution, and the improved fast non-dominated sequencing genetic algorithm (NSGA-II) is to carry out the optimization solution. The optimized grinding process parameters reduce the grinding time by 16.01%, improve the grinding energy efficiency by 21.95%, and reduce the grinding cost by 15.71% compared with the conventional machining scheme. The results demonstrate the effectiveness of the 3E model and solution method.