Automatic generation of plant piping simulator model specifications using 3D CAD plant model for a physics-based digital twin

2021 ◽  
Author(s):  
Katleya Medrano ◽  
Tatsurou Yashiki ◽  
Mutsuki Koga ◽  
Nozomu Ishibashi ◽  
Yukio Kawamura ◽  
...  
Keyword(s):  
Automatic Generation ◽  
Plant Model ◽  
Digital Twin ◽  
3D Cad

scholarly journals Automatic generation of digital twin industrial system from a high level specification

2019 ◽  
Vol 38 ◽  
pp. 1095-1102 ◽  
Author(s):  
Julio Garrido Campos ◽  
Juan Sáez López ◽  
José Ignacio Armesto Quiroga ◽  
Angel Manuel Espada Seoane
Keyword(s):  
Automatic Generation ◽  
Industrial System ◽  
Digital Twin ◽  
High Level

scholarly journals Towards Semi-Automatic Generation of a Steady State Digital Twin of a Brownfield Process Plant

2020 ◽  
Vol 10 (19) ◽  
pp. 6959
Author(s):  
Seppo Sierla ◽  
Lotta Sorsamäki ◽  
Mohammad Azangoo ◽  
Antti Villberg ◽  
Eemeli Hytönen ◽  
...  
Keyword(s):  
Simulation Model ◽  
Great Majority ◽  
Automatic Generation ◽  
Digital Twin ◽  
Design Alternatives ◽  
Process Plant ◽  
Process Plants ◽  
Engineering Effort ◽  
Process Measurements

Researchers have proposed various models for assessing design alternatives for process plant retrofits. Due to the considerable engineering effort involved, no such models exist for the great majority of brownfield process plants, which have been in operation for years or decades. This article proposes a semi-automatic methodology for generating a digital twin of a brownfield plant. The methodology consists of: (1) extracting information from piping and instrumentation diagrams, (2) converting the information to a graph format, (3) applying graph algorithms to preprocess the graph, (4) generating a simulation model from the graph, (5) performing manual expert editing of the generated model, (6) configuring the calculations done by simulation model elements and (7) parameterizing the simulation model according to recent process measurements in order to obtain a digital twin. Since previous work exists for steps (1–2), this article focuses on defining the methodology for (3–5) and demonstrating it on a laboratory process. A discussion is provided for (6–7). The result of the case study was that only few manual edits needed to be made to the automatically generated simulation model. The paper is concluded with an assessment of open issues and topics of further research for this 7-step methodology.

scholarly journals Plant Model Generator from Digital Twin for Purpose of Formal Verification

2021 ◽  
Author(s):  
Midhun Xavier ◽  
Johannes Hakansson ◽  
Sandeep Patil ◽  
Valeriy Vyatkin
Keyword(s):  
Formal Verification ◽  
Plant Model ◽  
Digital Twin ◽  
Model Generator

scholarly journals Automatic Generation of a High-Fidelity Dynamic Thermal-Hydraulic Process Simulation Model From a 3D Plant Model

IEEE Access ◽  
2018 ◽  
Vol 6 ◽  
pp. 45217-45232 ◽  
Author(s):  
Gerardo Santillan Martinez ◽  
Seppo A. Sierla ◽  
Tommi A. Karhela ◽  
Jari Lappalainen ◽  
Valeriy Vyatkin
Keyword(s):  
Simulation Model ◽  
Process Simulation ◽  
Automatic Generation ◽  
High Fidelity ◽  
Plant Model ◽  
Hydraulic Process

Automatic Generation of a Pattern of Geometric Features for Industrial Design

2013 ◽  
Vol 135 (11) ◽  
Author(s):  
Diego F. Andrade ◽  
Kenji Shimada
Keyword(s):  
Industrial Design ◽  
Automatic Generation ◽  
Computational Method ◽  
Geometric Feature ◽  
Cad Model ◽  
Target Region ◽  
3D Cad ◽  
Design Alternatives ◽  
Rectangular Grids ◽  
Scaling Features

This paper presents a new computational method for the automatic generation of geometric feature patterns for industrial design. Such patterns include speaker holes, showerhead holes, and bumpy textures on a grip, and they play a key role in making a designed object aesthetically pleasing and functional. While modern CAD packages support the automated creation of basic patterns, rectangular grids, and radial grids, they are not applicable to more general cases required in industrial design, including arbitrarily shaped target geometry and graded feature sizes. The proposed computational method takes as input a target region along with sizing metrics and generates feature patterns automatically in three steps: (1) packing circles tightly in the target region, (2) scaling features according to the specified sizing metrics, and (3) adding features on the base geometry. The proposed method is installed as a plugin module to a commercial CAD package, and a pattern of hundreds of features can be added to a 3D CAD model in less than 5 min. This allows the industrial designer to explore more design alternatives by avoiding the tedious and time-consuming manual generation of patterns.

scholarly journals Digital Twin-Driven Process and Equipment FMECA Generation for Smart Manufacturing Applications

2021 ◽  
Vol 13 (1) ◽  
Author(s):  
Jay Meyer ◽  
Venkat Malepati ◽  
Caleb Hudson ◽  
Somnath Deb ◽  
...  
Keyword(s):  
Systems Engineering ◽  
Failure Modes ◽  
Fault Management ◽  
Automatic Generation ◽  
Smart Manufacturing ◽  
Digital Twin ◽  
Model Based ◽  
Manufacturing Applications ◽  
Criticality Analysis ◽  
Model Based Systems Engineering

Qualtech Systems, Inc. (QSI)’s integrated tool set, consisting of TEAMS-Designer® and TEAMS-RDS® provides a comprehensive digital twin-driven and model-based systems engineering approach that can be deployed for fault management throughout the equipment life-cycle – from its design for fault management to condition-based maintenance of the deployed equipment. In this paper, we present QSI’s approach towards adapting and enhancing their existing model-based systems engineering (MBSE) approach towards a comprehensive digital twin that incorporates constructs necessary for development of a Process Failure Modes and Criticality Analysis (P-FMECA) and integrates that with an Equipment FMECA. The paper will discuss the various levels of automation towards incorporation of these model constructs and their reuse towards automation of the development of the different digital twins and subsequently the automatic generation of the combined Process and Equipment FMECA. This automated ability to develop the integrated FMECA that incorporates both Process-level Failure Modes and Equipment-level Failure Modes allows the system designer and operators to correlate and identify process failures down to their root causes at the equipment-level and thereby producing a comprehensive actionable systems-level view of the entire Smart Manufacturing facility from a fault management design and operations perspective. The paper will present the application of this novel technology for the Advanced Metal Finishing Facility (AMFF) at the Warner-Robins Air Logistics Complex (WR-ALC) in Robins Air Force Base, Georgia, as part of WR-ALC’s initiative towards model-based enterprise (MBE) and smart manufacturing.

Numerical solution of the Eikonal equation for an automatic piping

2019 ◽  
Vol 0 (0) ◽  
Author(s):  
Kerstin Rjasanowa
Keyword(s):  
Numerical Solution ◽  
Level Set ◽  
Eikonal Equation ◽  
Automatic Generation ◽  
Spline Functions ◽  
Engine Compartment ◽  
Cad Systems ◽  
3D Cad ◽  
Technical Requirements ◽  
Generation Procedure

Abstract The procedure of positioning of pipes, for example for the automobile exhaust construction, by the use of 3D CAD systems is difficult and time consuming because of obstacles in an engine compartment. There are also further strong technical requirements and restrictions. An automatic generation procedure based on the level set method and the numerical solution of the Eikonal equation is proposed. The positions of pipes which satisfy the technical requirements are obtained using spline functions.

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