Multi-target cutting parameter optimization method for green manufacturing

Abstract

The invention relates to a multi-target cutting parameter optimization method for green manufacturing. The method comprises the following steps that S1, according to the machining condition of a single working step in cutting, the cutting speed and the feeding amount serve as optimization variables, and a machining time optimization objective function, a machining greenization evaluation exponential function comprehensively considering machine tool energy consumption and cutting fluid consumption and a machining cost optimization objective function are established; S2, constraint conditions ofa multi-target cutting parameter optimization model are determined according to the performance of a numerical control machine tool and the surface machining quality requirement for a machined part;S3, the multi-target cutting parameter optimization model is constructed according to the optimization objective function in the S1 and the constraint conditions in the S2; and S4; optimization solution is carried out on the multi-target cutting parameter optimization model by utilizing an improved NSGA-II algorithm, and a Pareto optimal solution set of the multi-target cutting parameter optimization model is obtained. On the premise that smooth cutting machining is guaranteed, the resource utilization rate is increased, and negative influence on the environment is reduced.

Description

technical field [0001] The invention belongs to the field of mechanical cutting processing, and in particular relates to a multi-objective cutting parameter optimization method under the background of green manufacturing. Background technique [0002] With the current increasingly severe resource and environmental problems, people are paying more and more attention to and reflecting on the impact of their own production activities on the environment. Manufacturing is an industry that transforms resources into products. As a basic industry of the national economy, it consumes a lot of resources and creates human wealth, but it also produces serious environmental pollution problems. How to effectively reduce the consumption of resources and reduce the pollution of the environment in the manufacturing process has become one of the problems that my country's manufacturing industry needs to solve urgently. In view of this, the concept of green manufacturing came into being. Gre...

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Problems solved by technology

[0004] At present, some of the cutting parameter optimization technologies are optimized with traditional indicators (such as production cost, processing time, tool wear, etc.), which usually ignore resource consumption and environmental emissions, and have been difficult to meet the requirements of modern manufacturing industries. Requirements; part of it is to optimize the energy consumption of machine tools combined with traditional optimization indicators. This type of optimization focuses on reducing resource consumption without considering the negative impact of waste water, toxic and harmful substances, etc. on the environment.

At this stage, there are few cutting parameter optimizations for green manufacturing, which take into account resource utilization and negative impacts on the environment

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