Simulation-Based Computational Design Synthesis Using Automated Generation of Simulation Models From Concept Model Graphs

2017 ◽  
Vol 139 (7) ◽  
Author(s):  
Clemens Muenzer ◽  
Kristina Shea
Keyword(s):  
Engineering Design ◽  
Performance Metrics ◽  
Simulation Models ◽  
Computational Design ◽  
Building Blocks ◽  
Large Solution ◽  
Design Synthesis ◽  
Concept Model ◽  
Engineering Design Problems ◽  
Computational Design Synthesis

Current approaches in computational design synthesis (CDS) enable the human designer to explore large solution spaces for engineering design problems. To extend this to support designers in embodiment and detail design, not only the generation of solution spaces is needed but also the automated evaluation of engineering performance. Here, simulation methods can be used effectively to predict the behavior of a product. This paper builds on a general approach to automatically generate solution spaces for energy and signal-based engineering design tasks using first-order logic and Boolean satisfiability. The generated concept model graphs (CMGs) are now in this paper automatically transformed into corresponding bond-graph-based simulation models. To do this, guidelines for creating partial simulation models for the available synthesis building blocks are presented. The guidelines ensure valid causality in the final simulation model. Considering the connections in the concept model graphs, the simulation models are automatically generated and simulated. The simulation results are then used to calculate different objectives, constraints, and performance metrics. The method is validated using automotive powertrains as a case study. One hundred and sixty-two different powertrain concepts are generated and evaluated, showing the advantages of electric powertrains with respect to CO2 emissions and the importance of considering intelligent control strategies in the future for hybrid ones.

A Simulation-Based CDS Approach: Automated Generation of Simulation Models Based From Generated Concept Model Graphs

2015 ◽  
Author(s):  
Clemens Muenzer ◽  
Kristina Shea
Keyword(s):  
Engineering Design ◽  
Simulation Models ◽  
Computational Design ◽  
Building Blocks ◽  
Bond Graph ◽  
Large Solution ◽  
Product Concept ◽  
Detail Design ◽  
Engineering Design Problems ◽  
Product Concepts

Current approaches in Computational Design Synthesis enable the human designer to explore large solution spaces for engineering design problems. To extend this to support designers in embodiment and detail design, not only the generation of solutions spaces is needed, but also the automated evaluation of engineering performance. Here, simulation methods can be used effectively to predict the behavior of a product. This paper presents a generic approach to automatically generate solution spaces for energy- and signal-based engineering design tasks using first-order logic and Boolean satisfiability. These solution spaces not only include the graph-based product concept topologies but also corresponding bond-graph based simulation models. To do this, guidelines to create partial simulation models for the available building blocks for the synthesis are presented, to assure a valid causality in the final simulation model. Considering the connections in the graph-based product concepts, the simulation models are automatically generated and, simulated. The simulation results are then stored to enable a more informed decision as to which concepts to pursue in detail design. The method is validated using automotive powertrains as a case study. 162 different powertrain concepts are generated and evaluated, showing the advantages of electric powertrains in respect to CO2 emissions and the importance of intelligent control strategies for hybrid ones. This research enables the generation, exploration, and evaluation of solution spaces for energy- and signal-based product concept. Guidelines to define compatible bond-graph based partial simulation models that map to building blocks from an object-oriented graph-based knowledge representation are introduced. Additionally, a generic translation between the graph-based product concepts and simulation models is presented.

Automatically Transforming Object-Oriented Graph-Based Representations Into Boolean Satisfiability Problems for Computational Design Synthesis

2013 ◽  
Vol 135 (10) ◽  
Author(s):  
Clemens Münzer ◽  
Bergen Helms ◽  
Kristina Shea
Keyword(s):  
Space Exploration ◽  
Solution Space ◽  
Object Oriented ◽  
Computational Design ◽  
Building Blocks ◽  
Boolean Satisfiability ◽  
Design Synthesis ◽  
Alcohol Production ◽  
Systematic Solution ◽  
Computational Design Synthesis

Ever since computers have been used to support human designers, a variety of representations have been used to encapsulate engineering knowledge. Computational design synthesis (CDS) approaches utilize this knowledge to generate design candidates for a specified task. However, new approaches are required to enable systematic solution space exploration. This paper presents an approach that combines a graph-based object-oriented knowledge representation with first-order logic and Boolean satisfiability. This combination is used as the foundation for a generic automated approach for requirement-driven computational design synthesis. Available design building blocks and a design task defined through a set of requirements are modeled in a graph-based environment and then automatically transferred into a Boolean satisfiability problem and solved, considering a given solution size. The Boolean solution is automatically transferred back to the graph-based domain. The method is validated through two case studies: synthesis of automotive powertrains and chemical process synthesis for ethyl alcohol production. The contribution of the paper is a new method that is able to determine if an engineering task is solvable for a given set of synthesis building blocks and enables systematic solution space exploration.

Computer-Based Design Synthesis Research: An Overview

2011 ◽  
Vol 11 (2) ◽  
Author(s):  
Amaresh Chakrabarti ◽  
Kristina Shea ◽  
Robert Stone ◽  
Jonathan Cagan ◽  
Matthew Campbell ◽  
...  
Keyword(s):  
Engineering Design ◽  
Computational Design ◽  
Design Synthesis ◽  
The Past ◽  
Computer Based ◽  
Design Solutions ◽  
Synthesis Research ◽  
Computational Design Synthesis

One of the hallmarks of engineering design is the design synthesis phase where the creativity of the designer most prominently comes into play as solutions are generated to meet underlying needs. Over the past decades, methodologies for generating concepts and design solutions have matured to the point that computation-based synthesis provides a means to explore a wider variety of solutions and take over more tedious design tasks. This paper reviews advances in function-based, grammar-based, and analogy-based synthesis approaches and their contributions to computational design synthesis research in the last decade.

Solving Design Tasks in Engineering Using Object-Oriented Graph-Based Representations and Boolean Satisfiability

2013 ◽  
Author(s):  
Clemens Münzer ◽  
Kristina Shea ◽  
Bergen Helms
Keyword(s):  
Solution Space ◽  
Object Oriented ◽  
Oriented Graph ◽  
Computational Design ◽  
Building Blocks ◽  
Boolean Satisfiability ◽  
Design Synthesis ◽  
Boolean Satisfiability Problem ◽  
Systematic Solution ◽  
Computational Design Synthesis

Ever since computers have been used to support human designers, a variety of representations have been used to encapsulate engineering knowledge. Computational design synthesis approaches utilize this knowledge to generate design candidates for a specified task. However, new approaches are required to enable systematic solution space exploration. This paper presents an approach that combines a graph-based, object-oriented knowledge representation with first-order logic and Boolean satisfiability. This combination is used as the foundation for a generic, automated approach for requirement-driven computational design synthesis. Available design building blocks and a design task defined through a set of requirements are modeled in a graph-based environment and then automatically transferred into a Boolean satisfiability problem and solved, considering a given solution size. The solution is then automatically transferred back to the graph-based domain. The method is validated through the synthesis of automotive powertrains. The contribution of the paper is a new method that is both able to determine that an engineering task is solvable or not given a set of design building blocks and able to systematically explore the solution space.

An Evo-Devo Framework for Computational Design Synthesis Based on a Regulation Process

2008 ◽  
Author(s):  
Sen Yang ◽  
Mitchell M. Tseng ◽  
Dirk Schaefer ◽  
Meryvn Fathianathan
Keyword(s):  
Computational Design ◽  
Evolutionary Developmental Biology ◽  
Design Knowledge ◽  
Evolutionary Design ◽  
Design Synthesis ◽  
Regulation Process ◽  
Engineering Design Problems ◽  
Multi Agent ◽  
Computational Design Synthesis ◽  
Evo Devo

Evolutionary design synthesis has been used in solving many engineering design problems due to the reliability, robustness and domain-independence of evolutionary algorithms. However, little has been done to explore the role of design knowledge in evolutionary design synthesis. In this paper, inspired by recent advances in evolutionary developmental biology (Evo-Devo), we propose an Evo-Devo framework for computational design synthesis that utilizes design knowledge to guide an evolutionary search processes. The framework embodies a new regulation process to derive feasible phenotypes from the synthesis of genotypes and design knowledge. A multi-agent system (MAS) is implemented to perform the regulation needed to enforce the constraint satisfaction of phenotypes. The practical applicability of the Evo-Devo framework is validated through a meal design problem to be solved as a case study. The results indicate that the Evo-Devo framework and its regulation process outperform traditional processes in terms of effectiveness, efficiency and reliability in searching a constrained design space. The proposed framework and the MAS-based implementation of the regulation process can be applied to improve the performance of evolutionary design synthesis in different domains and tasks in general.

scholarly journals Closed Shell Iron(IV) Oxo Complex with an Fe–O Triple Bond: Computational Design, Synthesis, and Reactivity

2020 ◽  
Vol 59 (51) ◽  
pp. 23137-23144
Author(s):  
Erik Andris ◽  
Koen Segers ◽  
Jaya Mehara ◽  
Lubomír Rulíšek ◽  
Jana Roithová
Keyword(s):  
Triple Bond ◽  
Computational Design ◽  
Closed Shell ◽  
Design Synthesis ◽  
Computational Design Synthesis

Computational design, synthesis and utilization of a magnetic molecularly imprinted polymer on graphene oxide nanosheets for highly selective extraction and determination of buprenorphine in biological fluids and tablets

2018 ◽  
Vol 10 (43) ◽  
pp. 5214-5226 ◽  
Author(s):  
Farideh Ganjavi ◽  
Mehdi Ansari ◽  
Maryam Kazemipour ◽  
Leila Zeidabadinejad
Keyword(s):  
Biological Fluids ◽  
Computational Design ◽  
Selective Extraction ◽  
Graphene Oxide Nanosheets ◽  
Imprinted Polymer ◽  
Design Synthesis ◽  
Molecularly Imprinted ◽  
Plasma And Urine Samples ◽  
Computational Design Synthesis

A magnetic MIP for the selective extraction of buprenorphine (BUP) from real plasma and urine samples and tablets based on computational design as a novel procedure has been developed.

Toward an automated approach to the design of sheet metal components

2003 ◽  
Vol 17 (3) ◽  
pp. 187-204 ◽  
Author(s):  
ADITYA SOMAN ◽  
SWAPNIL PADHYE ◽  
MATTHEW I. CAMPBELL
Keyword(s):  
Sheet Metal ◽  
User Interaction ◽  
Computational Design ◽  
Design Synthesis ◽  
Manufacturing Operations ◽  
Grammar Rules ◽  
Computational Design Synthesis ◽  
Representation Scheme ◽  
Sheet Metal Component ◽  
Synthesis Approach

The design of sheet metal components is perhaps one of the more challenging concurrent activities for design and manufacturing engineers. To aid this design process, a method is developed to encapsulate the constraints of sheet metal that make designing such components a tedious and iterative procedure. This project involves the implementation and testing of a geometric representation scheme for building feasible sheet metal components through the use of 17 grammar rules that capture manufacturing operations like cutting and bending. The implemented system has benefits both as a user interaction tool and as the basis for a computational design synthesis approach for designing sheet metal components. An example of a constructed sheet metal component is shown along with the method for invoking the sheet metal grammar to create this component.

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