Roller modification auxiliary optimization method based on big data

An optimization method and big data technology, applied in the field of machine tool parts processing, can solve the problems of tool wear, quality impact, waste of time and energy, etc., to reduce processing accidents, improve processing quality, and avoid the use of abnormal tools.

Active Publication Date: 2022-08-09
南通恒强轧辊有限公司
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  • Abstract
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  • Application Information

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Problems solved by technology

During the processing of the roll lathe, certain tool wear will inevitably occur, and the wear of the tool will have a great impact on the processing quality of the roll. However, the current detection methods for tool wear are generally determined by the operator. Judging by experience, but manual detection requires downtime detection, which will waste time and energy, and has already brought a great quality impact when found

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  • Roller modification auxiliary optimization method based on big data
  • Roller modification auxiliary optimization method based on big data
  • Roller modification auxiliary optimization method based on big data

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Embodiment Construction

[0023] In order to further illustrate the technical means and effects adopted by the present invention to achieve the predetermined purpose of the invention, the following describes a method for auxiliary optimization of roll reforming based on big data proposed in accordance with the present invention with reference to the accompanying drawings and preferred embodiments, and its specific implementation The mode, structure, features and efficacy are described in detail as follows. In the following description, different "one embodiment" or "another embodiment" are not necessarily referring to the same embodiment. Furthermore, the particular features, structures or characteristics in one or more embodiments may be combined in any suitable form.

[0024] Unless otherwise defined, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this invention belongs.

[0025] The specific scheme of a method...

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Abstract

The invention relates to the technical field of machine tool part machining, in particular to a big data-based roller remanufacturing auxiliary optimization method, which can be applied to the intelligent manufacturing equipment industry, and particularly can be applied to manufacturing of industrial automatic control system devices, machine tool field bus control systems, machine tool programmable control systems and other metal machining machines. The sound frequency generated by tool friction in the roller lathe machining process, the radial resistance of a tool cutting machining material and the surface smoothness of the machining material are analyzed in a combined mode, the tool deterioration degree is obtained, real-time early warning is conducted on tool abrasion abnormity on the basis of the deterioration degree, and therefore abnormal tool use is avoided, and the machining efficiency is improved. The machining quality is improved, the probability of machining accidents is reduced, and feeding of a part for supporting a cutter or a workpiece is achieved.

Description

technical field [0001] The invention relates to the technical field of machine tool parts processing, in particular to an auxiliary optimization method for roll reformation based on big data. Background technique [0002] Roll lathes are mainly used for semi-finishing and finishing turning of cast iron, steel and non-ferrous metal rolls. The use of high-speed steel, carbide or other materials tools can be used for the outer circle, end face and various complex pass profiles of the rolls. , Turning and repairing of curved surfaces, and can also be used for the processing of cast iron, steel and non-ferrous metal shaft parts in the same size and weight range as the roll. During the machining process in the roll lathe, it is inevitable that certain tool wear will occur, and the tool wear will have a greater impact on the processing quality of the roll. At present, the detection methods for tool wear are generally based on the operator. Judging by experience, but human inspecti...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F30/17G06F30/20G06Q10/04G06Q50/04G06F119/14
CPCG06F30/17G06F30/20G06Q10/04G06Q50/04G06F2119/14Y02P90/30
Inventor 陈小勤刘宇环
Owner 南通恒强轧辊有限公司
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