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Hybrid machine tool milling stability prediction method

A stability prediction, machine tool technology, applied in image data processing, complex mathematical operations, instruments, etc., can solve problems such as large deviations between prediction results and actual results, and achieve the effect of improving accuracy

Pending Publication Date: 2020-06-16
TSINGHUA UNIV
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Problems solved by technology

[0005] In view of the above problems, the purpose of the present invention is to provide a hybrid machine tool milling stability prediction method to solve the problem that the prediction result of the existing stability prediction method has a large deviation from the actual

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  • Hybrid machine tool milling stability prediction method
  • Hybrid machine tool milling stability prediction method

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Embodiment Construction

[0041] The embodiments of the present invention will be described below with reference to the drawings. Those of ordinary skill in the art can realize that the described embodiments can be modified in various different ways or combinations thereof without departing from the spirit and scope of the present invention. Therefore, the drawings and description are illustrative in nature, and are not used to limit the protection scope of the claims. In addition, in this specification, the drawings are not drawn to scale, and the same reference numerals denote the same parts.

[0042] figure 1 It is a schematic flow diagram of the method for predicting milling stability of a hybrid machine tool in the present invention, such as figure 1 As shown, the method for predicting milling stability of a hybrid machine tool provided by the present invention includes the following steps:

[0043] Step S1: Divide the entire hybrid machine tool system into four parts, namely the tool, the tool holder...

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Abstract

The invention discloses a hybrid machine tool milling stability prediction method. The method comprises the steps of integrally dividing a hybrid machine tool system into a cutter, a cutter handle, amain shaft and a parallel / parallel hybrid mechanism, the cutter-cutter handle-main shaft serving as a first sub-structure, and the parallel / parallel hybrid mechanism serving as a second sub-structure;measuring to obtain frequency response functions of the first sub-structure and the second sub-structure, and obtaining a tool nose point frequency response function; establishing a milling kinetic equation under a physical coordinate system; converting the milling kinetic equation under the physical coordinate system into a milling kinetic equation under a modal coordinate system; solving a milling kinetic equation under the modal coordinate system to obtain a state transition matrix; judging the characteristic value of the state transition matrix, and drawing a stable lobe graph; and carrying out milling stability prediction on the parallel hybrid machine tool system according to the stability lobe graph. According to the method, the influences of the low-order dynamic characteristics and the medium-high-order dynamic characteristics of the parallel mechanism are comprehensively considered, and the milling stability of the parallel hybrid machine tool can be predicted more accurately.

Description

Technical field [0001] The invention relates to the technical field of machine tool manufacturing, in particular to a method for predicting milling stability of a hybrid machine tool. Background technique [0002] Since the 21st century, the parallel mechanism has been more and more widely used in the industry due to its advantages of high rigidity, high precision, and carrying capacity. As an innovation of the machine tool structure, the parallel machine tool theoretically performs better than traditional machine tools in terms of accuracy and rigidity, as well as light weight and good processing flexibility. It has received extensive attention at home and abroad. But looking at the existing hybrid machine tools at home and abroad, the products that can be practical and industrialized are very limited. There are more or less problems in the static performance and dynamic performance of domestic and foreign hybrid machine tools. At present, the static stiffness and dynamic char...

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Application Information

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IPC IPC(8): G06F30/20G06F119/14G06F17/11G06T11/20
CPCG06F17/11G06T11/206
Inventor 于广王立平李梦宇吴军
Owner TSINGHUA UNIV
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