Параметрическая модель шлангокабеля с использованием Siemens NX
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Научный журнал Моделирование, оптимизация и информационные технологииThe scientific journal Modeling, Optimization and Information Technology
Online media
issn 2310-6018

Parametric model of a hose cable using Siemens NX

idShevchenko D.S.

UDC 621.8
DOI: 10.26102/2310-6018/2024.46.3.018

  • Abstract
  • List of references
  • About authors

Hose cable is one of the key management tools, for example in a subsea oil and gas production system. It can be considered as a customized product related to specific parameters of use cases, such as installation location. This paper applies a method to calculate the reliability of the hose cable using the Advanced First Order Second Moment Method (AFOSM) and Monte Carlo method. The advantages and current limitations of adopting a knowledge-based engineering (KBE) approach are discussed, which in turn enables the creation of different product configurations and variants, for the integration of CAD models augmented with an automatic calculation function. Recommendations are made for future research into the KBE method of product design. The paper demonstrates the use of Siemens NX and its framework for representing engineering knowledge called Knowledge Fusion (KF) to create a reliability-aware parametric model of a hose cable design to improve the sectional design process. The benefits of adopting a KBE approach to integrate CAD models augmented with automatic calculations to ensure product reliability are disclosed, and options for extending the work to consider more complex engineering processes are proposed.

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Shevchenko Denis Sergeyevich

ORCID | eLibrary |

Voronezh State Technical University

Voronezh, Russia

Keywords: parametric model, KBE, knowledge Fusion, CAD, product design, customized product, hose cable, AFOSM, monte Carlo method

For citation: Shevchenko D.S. Parametric model of a hose cable using Siemens NX. Modeling, Optimization and Information Technology. 2024;12(3). URL: https://moitvivt.ru/ru/journal/pdf?id=1633 DOI: 10.26102/2310-6018/2024.46.3.018 (In Russ).

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Full text in PDF

Received 17.07.2024

Revised 01.08.2024

Accepted 09.08.2024

Published 30.09.2024