Modeling and Simulation Methods for Design of Engineering Systems

2000 ◽  
Vol 1 (1) ◽  
pp. 84-91 ◽  
Author(s):  
Rajarishi Sinha ◽  
Christiaan J. J. Paredis ◽  
Vei-Chung Liang ◽  
Pradeep K. Khosla
Keyword(s):  
Modeling And Simulation ◽  
Design Process ◽  
State Of The Art ◽  
Simulation Software ◽  
Modeling Languages ◽  
Simulation Methods ◽  
Design Tools ◽  
Engineering Systems ◽  
Simulation Based Design ◽  
Simulation Based

This article presents an overview of the state-of-the art in modeling and simulation, and studies to which extent current simulation technologies can effectively support the design process. For simulation-based design, modeling languages and simulation environments must take into account the special characteristics of the design process. For instance, languages should allow models to be easily updated and extended to accommodate the various analyses performed throughout the design process. Furthermore, the simulation software should be well integrated with the design tools so that designers and analysts with expertise in different domains can effectively collaborate on the design of complex artifacts. This review focuses in particular on modeling for design of multi-disciplinary engineering systems that combine continuous time and discrete time phenomena.

scholarly journals State of the Art in the Eco-Design Field: Toward Specifications for the Integration of Eco-Design in the Automotive Sector

2012 ◽  
Author(s):  
Julien Garcia ◽  
Dominique Millet ◽  
Pierre Tonnelier
Keyword(s):  
Design Process ◽  
Learning Process ◽  
Automotive Industry ◽  
State Of The Art ◽  
Design Method ◽  
Innovation Process ◽  
Process Models ◽  
Environmental Constraints ◽  
Design Tools ◽  
Structure Development

This paper lies within the integration of an eco-design method adapted to the Innovation structure at a car manufacturer. The environmental constraints in the automotive industry are more and more important (European emission standards for exhaust emissions, European directive on end-of life vehicles …). Eco-design is a new manner to design products related to the concept of sustainable development, which combines economy and ecology and put the environmental criterion alongside the classical criterions of design. The goal of this study is to identify the specifications of a strategy for integrating the dimension “Environment”. This strategy is applied in the innovation process thanks to eco-design tools which are the learning vectors for an organization, and therefore support a learning process. This process is structured with the interactions between the management of firm, the environment department, and the design team. Therefore we first make a synthesis of the different classifications of eco-design tools and use two categories: diagnosis and improvement. Second, as our goal is the integration in the Innovation structure and within a design process, we analyze some design process models and highlight the RID (Research, Innovation structure, Development) concept. Third, the main practices of several car makers are synthetized and a focus on three of them (Volvo, Ford, and Volkswagen) is made; we link their strategies with the concept of RID. Finally in the fourth part, we propose a model of a strategy for integrating eco-design practices based on the three examples and supported by a learning process.

Research on the Modeling and Simulation of Vehicle R&D Process Based on Petri Net

2011 ◽  
Vol 328-330 ◽  
pp. 642-647
Author(s):  
Hu Wang ◽  
Shu Yu Lv
Keyword(s):  
Research And Development ◽  
Modeling And Simulation ◽  
Petri Nets ◽  
Process Optimization ◽  
Design Process ◽  
Petri Net ◽  
Simulation Software ◽  
Core Business ◽  
The Core ◽  
Development Cycle

To quantitatively analyze the design process of vehicle R&D, and provide the basis for process optimization of research and development design, thus shortening the development cycle of new cars and enhancing the competitiveness of car business. Firstly this paper analyzes the core business of vehicle R&D design, and then apply the theory of Petri nets to build Petri model of vehicle R&D design process, finally apply simulation software to simulate the Petri model, and analyze the key constraints point of the R&D design process, point out the improvement direction of vehicle R&D process.

scholarly journals Diseño de embarcaciones de alto desempeño usando Simulaciones

2010 ◽  
Vol 3 (6) ◽  
pp. 9
Author(s):  
Fritz Grannemann Aufforth ◽  
Volker Bertram
Keyword(s):  
State Of The Art ◽  
Simulation Based Design ◽  
Simulation Based ◽  
Industry Practice

Simulation-based design increasingly replaces traditional experience-based design. This article gives an overview of techniques now used in advanced industry practice, with particular focus on navy applications. The article covers the basics of the techniques, illustrating approaches and state of the art with applications taken from the experience of Germanischer Lloyd.

Simulation-based design process for the verification of ITER remote handling systems

2014 ◽  
Vol 89 (9-10) ◽  
pp. 2341-2346
Author(s):  
Romain Sibois ◽  
Timo Määttä ◽  
Mikko Siuko ◽  
Jouni Mattila
Keyword(s):  
Design Process ◽  
Remote Handling ◽  
Simulation Based Design ◽  
Simulation Based

Delamination Under Fatigue Loads in Composite Laminates: A Review on the Observed Phenomenology and Computational Methods

2014 ◽  
Vol 66 (6) ◽  
Author(s):  
Brian L. V. Bak ◽  
Carlos Sarrado ◽  
Albert Turon ◽  
Josep Costa
Keyword(s):  
Design Process ◽  
Computational Methods ◽  
Structural Design ◽  
Composite Laminates ◽  
Composite Structures ◽  
State Of The Art ◽  
Computational Simulation ◽  
Simulation Methods ◽  
Short Term ◽  
Current State

Advanced design methodologies enable lighter and more reliable composite structures or components. However, efforts to include fatigue delamination in the simulation of composites have not yet been consolidated. Besides that, there is a lack of a proper categorization of the published methods in terms of their predictive capabilities and the principles they are based on. This paper reviews the available experimental observations, the phenomenological models, and the computational simulation methods for the three phases of delamination (initiation, onset, and propagation). It compiles a synthesis of the current state-of-the-art while identifying the unsolved problems and the areas where research is missing. It is concluded that there is a lack of knowledge, or there are unsolved problems, in all categories in the field, but particularly in the category of computational methods, which in turn prevents its inclusion in the structural design process. Suggested areas where short-term and midterm research should be focused to overcome the current situation are identified.

scholarly journals Modeling and simulation‐based design of electroenzymatic batch processes catalyzed by unspecific peroxygenase from A. aegerita

2020 ◽  
Vol 118 (1) ◽  
pp. 7-16
Author(s):  
Sebastian Bormann ◽  
Dominik Hertweck ◽  
Sabrina Schneider ◽  
Jonathan Z. Bloh ◽  
Roland Ulber ◽  
...  
Keyword(s):  
Modeling And Simulation ◽  
Batch Processes ◽  
Simulation Based Design ◽  
Simulation Based

Multi-Model Bayesian Optimization for Simulation-Based Design (DETC2020-22651)

2021 ◽  
pp. 1-39
Author(s):  
Siyu Tao ◽  
Anton van Beek ◽  
Daniel Apley ◽  
Wei Chen
Keyword(s):  
Simulation Models ◽  
Global Optimum ◽  
Bayesian Optimization ◽  
System Response ◽  
Engineering Systems ◽  
Simulation Based Design ◽  
Simulation Based ◽  
Need To Evaluate ◽  
Complex Engineering ◽  
Component Models

Abstract We enhance the Bayesian optimization (BO) approach for simulation-based design of engineering systems consisting of multiple interconnected expensive simulation models. The goal is to find the global optimum design with minimal model evaluation costs. A commonly used approach is to treat the whole system as a single expensive model and apply an existing BO algorithm. This approach is inefficient due to the need to evaluate all the component models in each iteration. We propose a multi-model BO approach that dynamically and selectively evaluates one component model per iteration based on the uncertainty quantification of linked emulators (metamodels) and the knowledge gradient of system response as the acquisition function. Building on our basic formulation, we further solve problems with constraints and feedback couplings that often occur in real complex engineering design by penalizing the objective emulator and reformulating the original problem into a decoupled one. The superior efficiency of our approach is demonstrated through solving two analytical problems and the design optimization of a multidisciplinary electronic packaging system.

Multi-Domain Modeling and Co-Simulation Based on Modelica and Simulink

2014 ◽  
Vol 596 ◽  
pp. 927-930
Author(s):  
Guang Shu Tian ◽  
Li Chen Zhang
Keyword(s):  
Modeling And Simulation ◽  
System Modeling ◽  
Collaborative Work ◽  
Simulation Software ◽  
Simulation Tool ◽  
Domain Modeling ◽  
Simulation Environment ◽  
Simulation Framework ◽  
Simulation Tools ◽  
Simulation Based

A co-simulation solution based on multi-domain modeling with Modelica is proposed to achieve the co-simulation of multi-domain modeling and simulation environment with other simulation environment . Based on the connection mechanism of multi-domain Modelica models the co-simulation under S-function co-simulation framework is implemented using the converting principle between Modelica models and Simulink modules. A co-simulation example between MWorks which is a multi-domain physical system modeling and simulation tool based on Modelica and AMESim indicates that the method can extend the application of Modelica models and achieve the collaborative work with multi-domain modeling and simulation tools and other simulation software.

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