A Study of Constraint Management Integration Into the Conceptual Design Phase

1999 ◽  
Author(s):  
Hakan Yusan ◽  
Stephan Rudolph
Keyword(s):  
Conceptual Design ◽  
Design Space Exploration ◽  
Design Space ◽  
Design Parameters ◽  
Design Phase ◽  
Solution Path ◽  
Support Tool ◽  
Constraint Equations ◽  
Constraint Management ◽  
Conceptual Design Phase

Abstract Constraint management integration into the conceptual design phase is a key step towards a future support tool for engineering design. The use of graph theory in constraint management, where the design models are presented as constraints between the design parameters, provides a means for the automation of the solution path of the conceptual design equations. The generation of a solution path simplifies the study of the couplings between design parameters and the subsequent sensitivity analysis. Based on the so-called relevance list of the constraints, the approach is even applicable in design cases, where an explicit mathematical model of the constraints is not available or known. The paper presents a constraint management system currently under implementation. As an extension to previous works, the symbolic processing capabilities of Maple V are used along the solution path to generate a C-code of the known constraint equations to further ease the design space exploration and subsequent design optimization efforts. Some theoretical and practical problems associated with the management of analytical constraints and the information flow in the different processing stages are described and discussed using a simplified design example.

scholarly journals Evaluation of Static Mapping for Dynamic Space-Shared Multi-task Processing on FPGAs

2021 ◽  
Author(s):  
Umar Ibrahim Minhas ◽  
Roger Woods ◽  
Georgios Karakonstantis
Keyword(s):  
High Performance ◽  
Design Space Exploration ◽  
Design Space ◽  
System Throughput ◽  
Design Parameters ◽  
Temporal Constraints ◽  
Shared Resources ◽  
Task Processing ◽  
High Level ◽  
Performance Computing

AbstractWhilst FPGAs have been used in cloud ecosystems, it is still extremely challenging to achieve high compute density when mapping heterogeneous multi-tasks on shared resources at runtime. This work addresses this by treating the FPGA resource as a service and employing multi-task processing at the high level, design space exploration and static off-line partitioning in order to allow more efficient mapping of heterogeneous tasks onto the FPGA. In addition, a new, comprehensive runtime functional simulator is used to evaluate the effect of various spatial and temporal constraints on both the existing and new approaches when varying system design parameters. A comprehensive suite of real high performance computing tasks was implemented on a Nallatech 385 FPGA card and show that our approach can provide on average 2.9 × and 2.3 × higher system throughput for compute and mixed intensity tasks, while 0.2 × lower for memory intensive tasks due to external memory access latency and bandwidth limitations. The work has been extended by introducing a novel scheduling scheme to enhance temporal utilization of resources when using the proposed approach. Additional results for large queues of mixed intensity tasks (compute and memory) show that the proposed partitioning and scheduling approach can provide higher than 3 × system speedup over previous schemes.

Applying Function-Based Failure Propagation in Conceptual Design

2007 ◽  
Author(s):  
Daniel Krus ◽  
Katie Grantham Lough
Keyword(s):  
Risk Analysis ◽  
Product Design ◽  
Conceptual Design ◽  
Functional Model ◽  
Thermal Control ◽  
Design Phase ◽  
Historical Knowledge ◽  
Conceptual Design Phase ◽  
Failure Propagation ◽  
Potential Risks

When designing a product, the earlier the potential risks can be identified, the more costs can be saved, as it is easier to modify a design in its early stages. Several methods exist to analyze the risk in a system, but all require a mature design. However, by applying the concept of “common interfaces” to a functional model and utilizing a historical knowledge base, it is possible to analyze chains of failures during the conceptual phase of product design. This paper presents a method based on these “common interfaces” to be used in conjunction with other methods such as Risk in Early Design in order to allow a more complete risk analysis during the conceptual design phase. Finally, application of this method is demonstrated in a design setting by applying it to a thermal control subsystem.

Variantenreiche Fabrikplanung*/Variant-based factory planning - Automatically generated simulation models to support factory engineering

2017 ◽  
Vol 107 (09) ◽  
pp. 640-646
Author(s):  
J. Jaensch ◽  
A. Neyrinck ◽  
A. Lechler ◽  
A. Prof. Verl
Keyword(s):  
Energy Efficiency ◽  
Conceptual Design ◽  
Simulation Models ◽  
Design Phase ◽  
Factory Planning ◽  
Cycle Times ◽  
Automated Generation ◽  
Conceptual Design Phase

Maschinen und besonders Anlagen werden meist in individuellen Prozessen entwickelt. Bereits in der Angebots- und Konzeptionsphase werden im direkten Austausch mit dem Auftraggeber unterschiedliche Varianten diskutiert und iteriert. Zur Bewertung der Varianten sind neben den Anschaffungskosten unter anderem laufzeitabhängige Größen wie Taktzeiten und Energieeffizienz zu untersuchen. Der Beitrag stellt einen Ansatz zur simulationsbasierten Untersuchung für die automatisierte Variantengenerierung von Anlagen vor.   The development of machines or plants is a very individual process. Within the conceptual design phase, many different variants have to be discussed with customers and adapted to their needs. For a decent evaluation of the different variants, many parameters beyond static values such as costs are important. Term-dependent values like cycle times and energy efficiency also have to be investigated. This paper presents a method for the automated generation of plant variants based on simulation.

A framework for automatic architectural synthesis in conceptual design phase

2018 ◽  
Vol 29 (11) ◽  
pp. 665-689
Author(s):  
C. Hartmann ◽  
R. Chenouard ◽  
E. Mermoz ◽  
A. Bernard
Keyword(s):  
Conceptual Design ◽  
Design Phase ◽  
Conceptual Design Phase ◽  
Architectural Synthesis

scholarly journals Reliability, Availability, and Maintainability Usage in the Development of the 501F Combustion Turbine and Auxiliaries

1991 ◽  
Author(s):  
R. J. Engel ◽  
P. J. Tyler ◽  
L. R. Wood ◽  
D. T. Entenmann
Keyword(s):  
Life Cycle ◽  
Product Design ◽  
Conceptual Design ◽  
High Reliability ◽  
Full Range ◽  
Design Phase ◽  
Conceptual Design Phase ◽  
Critical Components ◽  
Tools And Techniques ◽  
Reliability And Availability

Westinghouse has been a strong supporter of Reliability, Availability, and Maintainability (RAM) principles during product design and development. This is exemplified by the actions taken during the design of the 501F engine to ensure that high reliability and availability was achieved. By building upon past designs, utilizing those features most beneficial, and improving other areas, a highly reliable product was developed. A full range of RAM tools and techniques were utilized to achieve this result, including reliability allocations, modelling, and effective redesign of critical components. These activities began during the conceptual design phase and will continue throughout the life cycle of these engines until they are decommissioned.

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