异形股钢丝绳稳定模式的诊断

Q3 Engineering

Diagnostyka Pub Date : 2022-11-09 DOI:10.29354/diag/156385

V. Orobey, Oleksii Nemchuk, O. Lymarenko, V. Piterska, O. Sherstiuk, I. Lehetska

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引用次数: 0

摘要

这项工作致力于提升和运输设备的钢绞线技术平衡的可能性的诊断问题，这具有非常重要的科学和实践意义，因为它将提高其性能。一篇文献综述表明，这一主题实际上没有被涵盖，只考虑了矫直（弯曲）绞线的问题，这些问题不够有效。制定了研究目标和必须解决的问题，以获得具有更好质量特性（更大耐用性和强度）的绳索。给出了成形钢绞线工艺转矩的一个更精确的表达式。指出了减少扭矩这一有害因素的方法。对绳索技术平衡的可能选择进行了诊断。确定了成型股绳的合理生产方式。

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Diagnostics of stabilization modes of shape strand ropes

The work is devoted to the diagnostic issues of the possibilities of technological balancing of steel shaped strand ropes of lifting and transport equipment, which is of great scientific and practical importance, since it will improve their performance. A literature review showed that this topic is practically not covered and only the issues of straightening (bending) strands, which are not effective enough, are considered. The research objective and the problem that must be solved to obtain ropes with better quality characteristics (greater durability and strength) have been formulated. A more accurate expression for the technological torque of shaped strands is presented. The ways of reducing the torque as a harmful factor are indicated. Diagnostics of possible options for technological balancing of ropes was carried out. Rational modes of manufacturing shaped strand ropes have been determined.

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来源期刊

Diagnostyka Engineering-Mechanical Engineering

CiteScore

2.20

自引率

0.00%

发文量

期刊介绍： Diagnostyka – is a quarterly published by the Polish Society of Technical Diagnostics (PSTD). The journal “Diagnostyka” was established by the decision of the Presidium of Main Board of the Polish Society of Technical Diagnostics on August, 21st 2000 and replaced published since 1990 reference book of the PSTD named “Diagnosta”. In the years 2000-2003 there were issued annually two numbers of the journal, since 2004 “Diagnostyka” is issued as a quarterly. Research areas covered include: -theory of the technical diagnostics, -experimental diagnostic research of processes, objects and systems, -analytical, symptom and simulation models of technical objects, -algorithms, methods and devices for diagnosing, prognosis and genesis of condition of technical objects, -methods for detection, localization and identification of damages of technical objects, -artificial intelligence in diagnostics, neural nets, fuzzy systems, genetic algorithms, expert systems, -application of technical diagnostics, -diagnostic issues in mechanical and civil engineering, -medical and biological diagnostics with signal processing application, -structural health monitoring, -machines, -noise and vibration, -analysis of technical and civil systems.