0
Research Papers: Design Theory and Methodology

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

[+] Author and Article Information
Clemens Muenzer

Engineering Design and Computing Laboratory,
Department of Mechanical and
Process Engineering,
ETH Zurich,
Tannenstr. 3,
Zurich CH-8092, Switzerland
e-mail: muenzerc@alumni.ethz.ch

Kristina Shea

Engineering Design and Computing Laboratory,
Department of Mechanical and
Process Engineering,
ETH Zurich,
Tannenstr. 3,
Zurich CH-8092, Switzerland
e-mail: kshea@ethz.ch

Contributed by the Design Theory and Methodology Committee of ASME for publication in the JOURNAL OF MECHANICAL DESIGN. Manuscript received July 7, 2016; final manuscript received April 1, 2017; published online May 12, 2017. Assoc. Editor: Andy Dong.

J. Mech. Des 139(7), 071101 (May 12, 2017) (13 pages) Paper No: MD-16-1491; doi: 10.1115/1.4036567 History: Received July 07, 2016; Revised April 01, 2017

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.

Copyright © 2017 by ASME
Your Session has timed out. Please sign back in to continue.

References

Figures

Grahic Jump Location
Fig. 1

CDS process overview [11]

Grahic Jump Location
Fig. 2

Bond-graph constituents and their causalities

Grahic Jump Location
Fig. 3

Example taxonomy of flow-ports

Grahic Jump Location
Fig. 4

A connection between a clutch and a gearbox as an example for elements and their connections. Throughout this paper, the in-ports are always located on the left-hand side, and the out-ports always on the right-hand side of the element.

Grahic Jump Location
Fig. 6

Compatibility issues between two elements of one kind and their solution

Grahic Jump Location
Fig. 7

Scheme of the implementation of the proposed method. Apart from “metamodel” and “solution space,” the white boxes represent used third party software, and the gray boxes represent scripts, extensions, and software that was developed for this paper.

Grahic Jump Location
Fig. 10

Graph symbol and partial simulation model. The dashed gray lines illustrate the mapping between the connectors in the simulation model and the ports in the graph model.

Grahic Jump Location
Fig. 11

System boundary for hybrid powertrains and its' partial simulation model. At the bottom of the simulation model, the cumulated error ei is calculated.

Grahic Jump Location
Fig. 12

Complete solution space

Grahic Jump Location
Fig. 13

Solution space excerpt with selected solutions ranging from three to six components

Grahic Jump Location
Fig. 14

Speed profiles for the exemplary CMGs. The dotted lines indicate the given speed profile. The solid lines indicate the actual speed profiles.

Grahic Jump Location
Fig. 15

Hybrid powertrain CMG containing ten components (for illustration purposes, the relations connecting signal ports are colored gray, and those connecting energy ports are colored black)

Grahic Jump Location
Fig. 16

The hybrid powertrain CMG (for illustration purposes, the relations connecting signal ports are colored gray, and those connecting energy ports are colored black) similar to the Toyota Prius and its simulated NEDC speed profile. The dotted lines indicate the given speed profile. The solid lines indicate the actual speed profile.

Tables

Errata

Discussions

Some tools below are only available to our subscribers or users with an online account.

Related Content

Customize your page view by dragging and repositioning the boxes below.

Related Journal Articles
Related eBook Content
Topic Collections

Sorry! You do not have access to this content. For assistance or to subscribe, please contact us:

  • TELEPHONE: 1-800-843-2763 (Toll-free in the USA)
  • EMAIL: asmedigitalcollection@asme.org
Sign In