Optimal design method for lowering omission factor of bundling machine gatherer

Abstract

The invention discloses an optimal design method for lowering the omission factor of a bundling machine gatherer, and belongs to the technical field of straw recovery mechanical equipment. The design method comprises the following steps that: 1) constructing the mathematical model of the area of a leakage pickup region; 2) constructing an elastic claw and material contact speed mathematical model; 3) constructing a multi-objective optimization mathematical model of the gatherer; 4) solving the multi-objective optimization mathematical model of the gatherer; and 5) applying ADAMS (Automatic Dynamic Analysis of Mechanical Systems) software to carry out simulation verification on the optimized data. By use of the optimal design method disclosed by the invention, an optimal design algorithm is adopted to optimize each structural dimension of an existing gatherer, a relevant design parameter is subjected to analog simulation verification, and the gatherer which has the advantages of simple structure, compactness and convenience in maintaining and high pickup rate is obtained.

Description

technical field [0001] The invention relates to the technical field of straw recycling machinery and equipment, in particular to an optimal design method for reducing the missed detection rate of a picker of a baler. Background technique [0002] The picker is an important part of the baler. The picker picks up the straw laid on the ground and transports it to the feeding system of the baler for the next step of processing. Most of the existing pickers have a low pick-up rate. The reason may be that the picker cannot accurately pick up the grass strips laid on the ground, resulting in a large area for picking up leaks. If the picker is used to pick up leaks repeatedly, it will not only consume Manpower also increases the energy consumption of the baler. [0003] Existing pickers are usually improved on related parts, such as replacing the traditional slide-type spring-tooth picker with a spring-tooth roller or modifying the spring-tooth, these solutions can usually reduce t...

AI Technical Summary

Problems solved by technology

Most of the existing pickers have a low pick-up rate. The reason may be that the picker cannot accurately pick up the grass strips laid on the ground, resulting in a large area for picking up leaks. If the picker is used to pick up leaks repeatedly, it will not only consume Manpower also increases the energy consumption of the baler

[0003] Existing pickers are usually improved on related parts, such as replacing the traditional slide-type spring-tooth picker with a spring-tooth roller or modifying the spring-tooth, these solutions can usually reduce the pick-up miss rate , but the effect is not particularly obvious, and the reduction in the missed-picking rate lasts for a short time. After the picker is used for a period of time, due to the wear and tear of the device, the missed-picking rate will increase again, which will bring unnecessary troubles to the user

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