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.

Research on Model-Based User Interface Automatic Generation in SaaS Environment

2013 ◽  
Vol 850-851 ◽  
pp. 728-732
Author(s):  
Hao Wu ◽  
Qing Yi Hua
Keyword(s):  
User Interface ◽  
Model Transformation ◽  
Automatic Generation ◽  
Transformation Model ◽  
Interface Model ◽  
Development Method ◽  
Model Based ◽  
Abstract Level ◽  
Abstract Interface

A model-based user interface automatic generation development method was presented to adapt for user interface development requirement under SaaS environment. This method deployed abstract interface model, transformation model, specific interface model and final interface in different abstract level at running time. So, the server-end could distribute the user interface to the client-end by one time a widow or page. By a case study, this method can satisfy the demands of user interface under SaaS environment, and it is so simple to study and use.

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.

scholarly journals The Newton’s Polynomial Based - Automatic Model Generation (AMG) for Sensor Calibration to Improve the Performance of the Low-Cost Ultrasonic Range Finder (HC-SR04)

2020 ◽  
Vol 12 (3) ◽  
Author(s):  
Gutama Indra Gandha ◽  
Dewi Agustini Santoso
Keyword(s):  
Low Cost ◽  
Calibration Method ◽  
General Purpose ◽  
Sensor Calibration ◽  
Model Generation ◽  
Range Finder ◽  
Model Based ◽  
Sensor Model ◽  
Model State ◽  
Automatic Model Generation

The ultrasonic range finder sensors is a general-purpose sensor to measure the distance contactless. This sensor categorized as low-cost sensor that widely used in various application. This sensor has a significant deviation that lead to significant error in the measurement result. The error that produced by this sensor tends to increase proportionally to the measured distance. The implementation of the particular algorithm is required to reduce the error value. The model-based calibration is a solution to increase the accuracy. The model-based solutions are no longer feasible if the states of the model have changed. The longer of the usage of the sensor lead to sensor fatigue. Sensor fatigue is one of the causes of model state changes. As long as the drift still within the tolerance limit, the performance of the sensor still can be restored by using calibration method. The model-based calibration calibrates the sensor by using the model. The update of the model must be made whenever the changing of the model state occurred. Since the manual model making process is not an easy task, time and cost required, then the Newton polynomial-based AMG (Automatic Model Generation) have been implemented to this research. The AMG algorithm generates the new sensor model automatically based on the most updated states. This automatic model generation is implemented in the calibration process of the ultrasonic sensor. The implementation of polynomial-based AMG algorithm for sensor calibration have been succeeded to improve the accuracy of the calibrated sensor by 96.4% and reduce the MSE level from 25.6 to 0.914.

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.

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 MODEL-BASED DESIGN OF AM COMPONENTS TO ENABLE DECENTRALIZED DIGITAL MANUFACTURING SYSTEMS

2021 ◽  
Vol 1 ◽  
pp. 2127-2136
Author(s):  
Olivia Borgue ◽  
John Stavridis ◽  
Tomas Vannucci ◽  
Panagiotis Stavropoulos ◽  
Harry Bikas ◽  
...  
Keyword(s):  
Additive Manufacturing ◽  
Manufacturing Systems ◽  
Production Systems ◽  
Data Generation ◽  
Production Networks ◽  
Model Based ◽  
Manufacturing Technologies ◽  
Am Processes ◽  
Final Consumer

AbstractAdditive manufacturing (AM) is a versatile technology that could add flexibility in manufacturing processes, whether implemented alone or along other technologies. This technology enables on-demand production and decentralized production networks, as production facilities can be located around the world to manufacture products closer to the final consumer (decentralized manufacturing). However, the wide adoption of additive manufacturing technologies is hindered by the lack of experience on its implementation, the lack of repeatability among different manufacturers and a lack of integrated production systems. The later, hinders the traceability and quality assurance of printed components and limits the understanding and data generation of the AM processes and parameters. In this article, a design strategy is proposed to integrate the different phases of the development process into a model-based design platform for decentralized manufacturing. This platform is aimed at facilitating data traceability and product repeatability among different AM machines. The strategy is illustrated with a case study where a car steering knuckle is manufactured in three different facilities in Sweden and Italy.

scholarly journals V-model based development of cyber-physical systems and cyber-physical production systems

Procedia CIRP ◽  
2021 ◽  
Vol 100 ◽  
pp. 253-258
Author(s):  
Iris Gräßler ◽  
Dominik Wiechel ◽  
Daniel Roesmann ◽  
Henrik Thiele
Keyword(s):  
Production Systems ◽  
Cyber Physical Systems ◽  
Physical Systems ◽  
Model Based ◽  
Cyber Physical Production Systems

An Approach to Generate Three Dimensional Machining Process Model According to Information from Design Model Based on Definition

2016 ◽  
Vol 693 ◽  
pp. 1684-1692 ◽  
Author(s):  
Hong Lei Zhang ◽  
Wen He Liao ◽  
Yu Guo ◽  
Wen An Yang
Keyword(s):  
Process Model ◽  
Three Dimensional ◽  
Design Model ◽  
Machining Process ◽  
Model Generation ◽  
Geometric Models ◽  
Model Based

Faced with the problem of generation for 3D machining process model, an approach to generate three dimensional machining process model according to information from design model based on definition is proposed. Compared with the existing methods, the approach utilizes multiple information of design model based on definition and takes many phases into consideration of 3D process model generation. The structure of 3D machining process model is defined and the course of 3D process model generation is researched, including multiple information acquirement, generation of procedure geometric models and annotation. Finally, the framework of system and application for 3D machining process model generation are presented for validation purposes.

Sign in / Sign up

Export Citation Format

Share Document