D-optimal inner table design based Taguchi experimental design method

A technology of experimental design and basic experiment, applied in computing, special data processing applications, instruments, etc., can solve problems such as difficult experimental design problems, and achieve the effect of efficient experimental design scheme

Inactive Publication Date: 2015-11-11
BEIHANG UNIV
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Problems solved by technology

[0006] (1) Purpose of the present invention: the present invention is aimed at traditional Taguchi design in limited test number of times, it is difficult to flexibly and efficiently solve the test design problem when

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  • D-optimal inner table design based Taguchi experimental design method
  • D-optimal inner table design based Taguchi experimental design method
  • D-optimal inner table design based Taguchi experimental design method

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Embodiment Construction

[0043] Hereinafter, the present invention will be further described in detail by taking the pellet nitriding process as an example and in conjunction with the accompanying drawings.

[0044] The feedback spring is a key component of the electro-hydraulic servo valve, and the small ball on the feedback rod and the feedback groove on the valve core are required to be in a zero-gap fit state. During the use of the feedback spring, if the hardness of the surface of the ball is not enough, it is easy to cause wear and tear, resulting in a sudden change in the no-load flow curve, resulting in a wrong servo signal and fatal failure of the electro-hydraulic servo valve. In order to improve the surface hardness of the ball, it is necessary to carry out ion nitrocarburizing treatment on the ball. The deeper the nitride layer, the better the wear resistance of the ball, but at the same time, the depth of the nitride layer is restricted by the change of the diameter of the ball. In order...

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Abstract

The present invention provides a D-optimal inner table design based Taguchi experimental design method. The method comprises specific steps of: 1. providing basic experimental information including experimental responses, factors, inter-factor restrictions and the like according to experimental objectives, conditions and engineering experience; 2. selecting a proper uniform design table according to the number of noise factors and the number of proposed levels; 3. determining a relationship model between the responses and the factors, and the number of times of inner table experiments; 4. in a design area, providing an inner table design scheme with given experimental times by using the D-optimal design method, and completing the inner table design; 5. completing external table design by using an empirical distribution function based point equal-division method; 6. performing an experiment according to an experimental scheme, calculating a signal-to-noise ratio of mass properties by using performance indexes obtained from the experiment, and calculating the optimal level of a controllable factor that enables the signal-to-noise ratio to be maximized; 7. determining the optimal level of a stable factor by a sensitivity analysis method; and 8. changing and adjusting the factors to determine an optimal factor level combination.

Description

technical field [0001] The present invention relates to a kind of Taguchi test design method based on D-optimum internal table design (i.e. the design method based on maximizing the determinant of test points (Determinant)), which can not only effectively solve the difficult design area of ​​traditional Taguchi design Irregularity, and can effectively alleviate the problem of a sharp increase in the number of experimental designs caused by the use of direct product tables in Taguchi design. It is suitable for product design, manufacturing, quality control, process optimization and other related technical fields. Background technique [0002] A reasonable experimental design scheme can fully reveal the impact of each influencing factor on the target response under limited time, cost and other resource conditions, obtain the optimal target response result under a limited number of experiments, and seek the optimal solution for improving product quality. combination of process ...

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Application Information

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IPC IPC(8): G06F19/00
Inventor 杨军刘秀亭习文赵宇王静
Owner BEIHANG UNIV
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