scholarly journals EIPPM—The Executable Integrative Product-Production Model

Computers ◽  
2021 ◽  
Vol 10 (6) ◽  
pp. 72
Author(s):  
Dominik Schopper ◽  
Karl Kübler ◽  
Stephan Rudolph ◽  
Oliver Riedel
Keyword(s):  
Data Model ◽  
Production Systems ◽  
Simulation Models ◽  
Automatic Generation ◽  
Production Model ◽  
The Novel ◽  
Automatic Translation ◽  
Virtual Commissioning ◽  
Simulation Based ◽  
Novel Concept

In this paper, a combination of graph-based design and simulation-based engineering (SBE) into a new concept called Executable Integrative Product-Production Model (EIPPM) is elaborated. Today, the first collaborative process in engineering for all mechatronic disciplines is the virtual commissioning phase. The authors see a hitherto untapped potential for the earlier, integrated and iterative use of SBE for the development of production systems (PS). Seamless generation of and exchange between Model-, Software- and Hardware-in-the-Loop simulations is necessary. Feedback from simulation results will go into the design decisions after each iteration. The presented approach combines knowledge of the domain “PSs” together with the knowledge of the corresponding “product” using a so called Graph-based Design Language (GBDL). Its central data model, which represents the entire life cycle of product and PS, results of an automatic translation step in a compiler. Since the execution of the GBDL can be repeated as often as desired with modified boundary conditions (e.g., through feedback), a design of experiment is made possible, whereby unconventional solutions are also considered. The novel concept aims at the following advantages: Consistent linking of all mechatronic disciplines through a data model (graph) from the project start, automatic design cycles exploring multiple variants for optimized product-PS combinations, automatic generation of simulation models starting with the planning phase and feedback from simulation-based optimization back into the data model.

scholarly journals Configuration and Enablement of Vision Sensor Solutions Through a Combined Simulation Based Process Chain

2022 ◽  
pp. 313-324
Author(s):  
Johann Gierecker ◽  
Daniel Schoepflin ◽  
Ole Schmedemann ◽  
Thorsten Schüppstuhl
Keyword(s):  
Machine Vision ◽  
Production Systems ◽  
Training Data ◽  
Data Generation ◽  
Process Chain ◽  
Sensor Planning ◽  
Specific Analysis ◽  
Simulation Based ◽  
Combined Simulation ◽  
Novel Concept

Abstract Machine vision solutions can perform within a wide range of applications and are commonly used to verify the operation of production systems. They offer the potential to automatically record assembly states and derive information, but simultaneously require a high effort of planning, configuration and implementation. This generally leads to an iterative, expert based implementation with long process times and sets major barriers for many companies. Furthermore the implementation is task specific and needs to be repeated with every variation of product, environment or process. Therefore a novel concept of a simulation-based process chain for both—configuration and enablement—of machine vision systems is presented in this paper. It combines related work of sensor planning algorithms with new methods of training data generation and detailed task specific analysis for assembly applications.

scholarly journals Morphology-Governed Performance of Multi-Dimensional Photocatalysts for Hydrogen Generation

Energies ◽  
2021 ◽  
Vol 14 (21) ◽  
pp. 7223
Author(s):  
Zhishun Wei ◽  
Tharishinny Raja Mogan ◽  
Kunlei Wang ◽  
Marcin Janczarek ◽  
Ewa Kowalska
Keyword(s):  
Hydrogen Generation ◽  
Production Systems ◽  
Particle Morphology ◽  
The Novel ◽  
Future Directions ◽  
Different Types ◽  
Significant Extension ◽  
Reaction Performance ◽  
Novel Concept ◽  
Photocatalytic Material

In the past few decades, extensive studies have been performed to utilize the solar energy for photocatalytic water splitting; however, up to the present, the overall efficiencies reported in the literature are still unsatisfactory for commercialization. The crucial element of this challenging concept is the proper selection and design of photocatalytic material to enable significant extension of practical application perspectives. One of the important features in describing photocatalysts, although underestimated, is particle morphology. Accordingly, this review presents the advances achieved in the design of photocatalysts that are dedicated to hydrogen generation, with an emphasis on the particle morphology and its potential correlation with the overall reaction performance. The novel concept of this work—with the content presented in a clear and logical way—is based on the division into five parts according to dimensional arrangement groups of 0D, 1D, 2D, 3D, and combined systems. In this regard, it has been shown that the consideration of the discussed aspects, focusing on different types of particle morphology and their correlation with the system’s efficiency, could be a promising route for accelerating the development of photocatalytic materials oriented for solar-driven hydrogen generation. Finally, concluding remarks (additionally including the problems connected with experiments) and potential future directions of particle morphology-based design of photocatalysts for hydrogen production systems have been presented.

Automatic Generation Method of Simulation Model for Production Planning and Simulation Systems Integration

2014 ◽  
Vol 1036 ◽  
pp. 825-829 ◽  
Author(s):  
Damian Krenczyk
Keyword(s):  
Production Planning ◽  
Production System ◽  
Production Systems ◽  
Computer Software ◽  
Simulation Models ◽  
Automatic Generation ◽  
System Structure ◽  
Dynamics Simulation ◽  
Flow Topology ◽  
Simulation Systems

In the paper the method of integration of production planning and simulation systems has been presented. An automatic generation method of production systems models has been implemented to integrate the Production Order Verification System (SWZ) for multi-assortment, concurrent production planning) and Enterprise Dynamics simulation system. Submitted methodology allowed the direct generation of simulation models for production systems with the use of data obtained from PPC systems, regardless of the production system structure, flow topology of the production processes and the amount of resources and production orders. Generation of simulation models is performed automatically, allowing the omission of time-and labor-consuming process of building a simulation. In the process of generation of the simulation models, methods of data mapping, transformation and exchange, between heterogeneous computer systems (PPC/DES) using neutral formats and data storing (XML) in conjunction with an intermediate neutral data model have been used. The result of transformation is the input file for simulation systems, containing information about the production system model, together with control procedures. Based on the described methodology, operation algorithms have been developed and the computer software RapidSim, that integrates PPC and DES systems has been presented.

Planung und Simulation einer CFK-Serienfertigung*/Planning and Simulation of a CFRP Production - Design of control concepts with the objective of automatic model generation

2016 ◽  
Vol 106 (04) ◽  
pp. 224-229
Author(s):  
M. Lütjen ◽  
M. Prof. Freitag
Keyword(s):  
Graphical Models ◽  
Model Transformation ◽  
Production Systems ◽  
Simulation Models ◽  
Automatic Generation ◽  
Model Generation ◽  
Model Based ◽  
Automatic Model Generation ◽  
Control Concept ◽  
Planning Methodology

In diesem Fachbeitrag wird die modellbasierte Planungsmethodik „Gramosa“ vorgestellt. Sie erlaubt eine automatische Generierung von Simulationsmodellen ausgehend von der graphischen Prozess- und Systemmodellierung. Im Schwerpunkt wird dabei auf die spezifischen Anforderungen der CFK (carbonfaserverstärkte Kunststoffe)-Serienfertigung sowie die Modellierung des Steuerungskonzepts und die Modelltransformation zur Simulation eingegangen.   In this paper, the model-based planning methodology “Gramosa“ is presented. The methodology allows an automatic generation of simulation models based on graphical models of processes and production systems. In this context, the paper focuses on the specific requirements of CFRP production as well as on the modeling of the control concept and the model transformation for the simulation.

scholarly journals Approaches for the Simulation of Deformable Objects in Manufacturing Systems

2013 ◽  
Vol 1 (1) ◽  
pp. 68-74
Author(s):  
Gunther Reinhart ◽  
Peter Stich
Keyword(s):  
Manufacturing Systems ◽  
Production Systems ◽  
Simulation Models ◽  
Deformable Objects ◽  
Control Software ◽  
Complex Simulation ◽  
Virtual Commissioning ◽  
Physically Based ◽  
Rigid Body Simulation ◽  
Multi Body

The validation of control software using methods of Virtual Commissioning (VC), with its origin in the field of machine tools, gains more and more importance in other application areas like process engineering or material-flow-intensive production systems. Especially because of the increasing complexity of technical systems the validation of the control software quality is a major challenge in production technology. To reduce the efforts of modeling and to increase the value of simulation results, a so-called physically model is integrated in the VC. Currently the physically based Virtual Commissioning is restricted to rigid body simulation objects. In this publication new methods for the simulation of deformable objects are shown and validated in an industrial context. Therefore the hybridization of existing simulation methods from computer science using so called physic engines is introduced as a method that simplifies the description of complex simulation objects by adapting well known simulation models. The new approach is comparable to a mixture of a multi body simulation and a real-time finite element simulation.

Capturing Deviations From Design Intent in Building Simulation Models for Risk Assessment

2015 ◽  
Vol 15 (4) ◽  
Author(s):  
Heikki Nikula ◽  
Seppo Sierla ◽  
Bryan O'Halloran ◽  
Tommi Karhela
Keyword(s):  
Risk Assessment ◽  
Simulation Model ◽  
Data Model ◽  
Simulation Models ◽  
Assessment Method ◽  
Abnormal Behavior ◽  
Engineering Practice ◽  
Design Intent ◽  
Risk Assessment Method ◽  
Simulation Based

Simulation-based methods are emerging to address the challenges of complex systems risk assessment, and this paper identifies two problems related to the use of such methods. First, the methods cannot identify new hazards if the simulation model builders are expected to foresee the hazards and incorporate the abnormal behavior related to the hazard into the simulation model. Therefore, this paper uses the concept of deviation from design intent to systematically capture abnormal conditions that may lead to component failures, hazards, or both. Second, simulation-based risk assessment methods should explicitly consider what expertise is required from the experts that build and use the simulation models—the transfer of the methods to real engineering practice will be severely hindered if they must be performed by persons that are expert in domain safety as well as advanced computer simulation-based methods. This paper addresses both problems in the context of the functional failure identification and propagation (FFIP) method. One industrially established risk assessment method, hazard and operability study (HAZOP), is harnessed to systematically obtain the deviations from design intent in the application under study. An information system presents a user interface that is understandable to HAZOP professionals, so that their inputs are transparently entered to a data model that captures the deviations. From the data model, instructions for configuring FFIP simulation models are printed in a form that is understandable for FFIP experts. The method is demonstrated for discovering a hazard resulting from system-wide fault propagation in a boiling water reactor case.

Analysis and Simulation Methods of the Mechanisms for the Innovational Development

2019 ◽  
pp. 16-33
Author(s):  
Marta K. Isaeva
Keyword(s):  
Production Systems ◽  
Technological Development ◽  
Computer Experiment ◽  
Simulation Models ◽  
Construction Simulation ◽  
Technological Structure ◽  
Research Sector ◽  
Practical Trial ◽  
Construction Model ◽  
Computation Analysis

The paper dedicates in commemoration of K.A. Bagrinovsky, known scientist, doctor of economic sciences, professor. His thesis was theoretic problems of mathematical modeling and operation of economy. His works in the operations research, the methods making decision, the simulation were received in scientific world. The analysis and the modeling of the mechanisms for scientific and technological development for the production systems of different level in economic hierarchic both centrally controlled economy and making mechanism were conduced by Bagrinovsky in CEMI RAS. The paper presents the investigations (2001–2015) of the analysis and the simulation of the different mechanisms of the innovational activity. It also discusses the methods of the development the complex of the simulation models. In a sense simulation modeling is the science and the art as the selection of the salient parameters for the construction model, intake simplification, the computer experiment and the making decision based on scarcity of accuracy models rest on the heuristic power of men: the practical trial, the intelligence and the intuition. K.A. Bagrinovsky introduced the considerable endowment in the development of this direction for economic and mathematical investigation.The principal object was to show that the relationship between the innovational policy and the technological structure, scientific research sector and the introducing of the progressive production and the organizational structure is obtainable by the models. The character of these relationships may be to use in control of the parameters for the modernization economic. The construction simulation models and the experimental computation analysis were presented the investigations the different mechanisms of the innovational development ant the variants of the estimation have been accomplished on the modeling level by the computer experiment.

scholarly journals Product Lifecycle Management with the Asset Administration Shell

Computers ◽  
2021 ◽  
Vol 10 (7) ◽  
pp. 84
Author(s):  
Andreas Deuter ◽  
Sebastian Imort
Keyword(s):  
Data Model ◽  
Research Work ◽  
Idea Generation ◽  
Automatic Generation ◽  
Product Lifecycle Management ◽  
Product Lifecycle ◽  
Digital Representation ◽  
Holistic Concept ◽  
Standard Interface ◽  
Lifecycle Management

Product lifecycle management (PLM) as a holistic process encompasses the idea generation for a product, its conception, and its production, as well as its operating phase. Numerous tools and data models are used throughout this process. In recent years, industry and academia have developed integration concepts to realize efficient PLM across all domains and phases. However, the solutions available in practice need specific interfaces and tend to be vendor dependent. The Asset Administration Shell (AAS) aims to be a standardized digital representation of an asset (e.g., a product). In accordance with its objective, it has the potential to integrate all data generated during the PLM process into one data model and to provide a universally valid interface for all PLM phases. However, to date, there is no holistic concept that demonstrates this potential. The goal of this research work is to develop and validate such an AAS-based concept. This article demonstrates the application of the AAS in an order-controlled production process, including the semi-automatic generation of PLM-related AAS data. Furthermore, it discusses the potential of the AAS as a standard interface providing a smooth data integration throughout the PLM process.

scholarly journals Racism and Antiracism in the Liberal International Order

2020 ◽  
pp. 1-24
Author(s):  
Zoltán I. Búzás
Keyword(s):  
International Relations ◽  
Racial Inequality ◽  
Racial Diversity ◽  
International Order ◽  
Interdisciplinary Studies ◽  
Racial Equality ◽  
The Novel ◽  
Current Regime ◽  
Novel Concept ◽  
Comprehensive Framework

Abstract Formal racial equality is a key aspect of the current Liberal International Order (LIO). It is subject to two main challenges: resurgent racial nationalism and substantive racial inequality. Combining work in International Relations with interdisciplinary studies on race, I submit that these challenges are the latest iteration of struggles between two transnational coalitions over the LIO's central racial provisions, which I call racial diversity regimes (RDRs). The traditional coalition has historically favored RDRs based on racial inequality and racial nationalism. The transformative coalition has favored RDRs based on racial equality and nonracial nationalism. I illustrate the argument by tracing the development of the liberal order's RDR as a function of intercoalitional struggles from one based on racial nationalism and inequality in 1919 to the current regime based on nonracial nationalism and limited equality. Today, racial nationalists belong to the traditional coalition and critics of racial inequality are part of the transformative coalition. The stakes of their struggles are high because they will determine whether we will live in a more racist or a more antiracist world. This article articulates a comprehensive framework that places race at the heart of the liberal order, offers the novel concept of “embedded racism” to capture how sovereignty shields domestic racism from foreign interference, and proposes an agenda for mainstream International Relations that takes race seriously.

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