NSGA-II algorithm-based multi-objective optimization method for eight-connecting-rod mechanical press

Abstract

The invention provides an NSGA-II algorithm-based multi-objective optimization method for eight-connecting-rod mechanical press, which comprises the steps of determining an optimization objective, a design variable and a constraint condition, and establishing a mathematical model; simplifying the eight-connecting-rod mechanism model; setting an initial design variable and an initial eccentric bodyrotating speed, carrying out kinematics analysis on the eight-connecting-rod mechanism model, and obtaining kinematics parameters including the sliding block stroke, the sliding block speed and the sliding block acceleration; according to kinematic parameters and press tonnage information, carrying out dynamic analysis on the eight-link mechanism model to obtain a crank torque; using the NSGA-IIalgorithm to optimize the sliding block speed fluctuation and the maximum crank torque, solving a multi-objective optimization mathematical model, and obtaining a Pareto optimal solution set of designvariables. The design variables obtained through the method are high in accuracy and fast in optimization, and the design and development time of enterprises is shortened.

Description

technical field [0001] The invention relates to the field of mechanical transmission, more specifically, it relates to a multi-objective optimization method for an eight-link mechanical press based on the NSGA-II algorithm. Background technique [0002] Mechanical press is a typical mechanical product with many varieties and small batches. It is generally designed on the basis of the whole machine. With the development of the automobile industry and the renewal of old stamping equipment, the current product structure is divided by the original standard machine. 60%, 40% of customized machines, and gradually develop to 60% to 70% of customized machines. This is undoubtedly a huge technical challenge. Moreover, the mechanical press is made to order, and each press needs to be redesigned according to the customer's order requirements. Sometimes a production line needs to design 3 to 5 machines at the same time, and the conventional design of each machine generally needs to go t...

AI Technical Summary

Problems solved by technology

In addition, mechanical presses are made to order, and each press needs to be redesigned according to the customer's order requirements. Sometimes a production line needs to design 3 to 5 machines at the same time, and the conventional design of each machine generally needs to go through data retrieval, A series of iterative processes such as scheme conception, calculation and analysis, drawing and document preparation involve many contents and steps, a large amount of formulas, charts and data, and many mutual constraints, which require a lot of manpower. Therefore, the design cycle is long and the tasks are heavy.

[0003] However, some orders can be realized only by fine-tuning the design parameters on the basis of mature models, while the conventional manual modification of the model is not only error-prone, but also takes a lot of time, greatly increasing the design and development cycle of the enterprise

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