Design Process Visualization System Intergrating BIM Data and Performance-Oriented Design Information

2011 ◽  
Author(s):  
Sung-Ah Kim ◽  
Yoon Choe ◽  
Myeongho Jang ◽  
Wookje Seol
Keyword(s):  
Design Process ◽  
Visualization System ◽  
Design Information ◽  
Process Visualization ◽  
And Performance

A Database Tool for Managing Customer and Design Information During Product Definition

1994 ◽  
Author(s):  
Dileep V. Khadilkar ◽  
John A. Gershenson ◽  
Larry A. Stauffer
Keyword(s):  
Life Cycle ◽  
Design Process ◽  
Research Program ◽  
New Product ◽  
Design Engineering ◽  
Ongoing Research ◽  
Design Information ◽  
Product Definition

Abstract We developed a new database tool to manage information during the product definition process. This tool is a result of an ongoing research program to coordinate marketing and design engineering efforts in new product developments, and consider the related life cycle issues early in the design process. The database tool facilitates a methodology that integrates customer and design information, and allows reuse of this information during redesign problems. This paper presents the development, implementation, and an example use of the database tool.

A Model for Performance-Intelligent Design Advisors

1993 ◽  
Author(s):  
R. Grant Reed ◽  
Robert H. Sturges
Keyword(s):  
Intelligent Design ◽  
Specific Design ◽  
Design Information ◽  
Domain Specific ◽  
Computer Based ◽  
Level Design ◽  
And Performance ◽  
High Level ◽  
Level Performance ◽  
Inputs And Outputs

Abstract We consider a design advisor to be performance-intelligent when its suggestions do not conflict with high level performance-related goals of the design under study. We address the problem of representing non-domain-specific design Information at a high level and describe coupling it to the inputs and outputs of design critics and their suggestion mechanisms. High level design Information represented in a function-based structure with linked allocations is shown to interact with a domain-specific design critic in three instances, viz.: allocation refinement, goal matching with a supported function, and performance-intelligent tradeoffs. Examples of manual and computer-based procedures are discussed.

LATTICE STRUCTURE OPTIMIZATION WITH ORIENTATION-DEPENDENT MATERIAL PROPERTIES

2021 ◽  
pp. 1-33
Author(s):  
Conner Sharpe ◽  
Carolyn Seepersad
Keyword(s):  
Additive Manufacturing ◽  
Design Process ◽  
Material Properties ◽  
Computational Models ◽  
Lattice Structure ◽  
Lattice Structures ◽  
Performance Improvements ◽  
Structural Applications ◽  
Manufacturing Techniques ◽  
And Performance

Abstract Advances in additive manufacturing techniques have enabled the production of parts with complex internal geometries. However, the layer-based nature of additive processes often results in mechanical properties that vary based on the orientation of the feature relative to the build plane. Lattice structures have been a popular design application for additive manufacturing due to their potential uses in lightweight structural applications. Many recent works have explored the modeling, design, and fabrication challenges that arise in the multiscale setting of lattice structures. However, there remains a significant challenge in bridging the simplified computational models used in the design process and the more complex properties actually realized in fabrication. This work develops a design approach that captures orientation-dependent material properties that have been observed in metal AM processes while remaining suitable for use in an iterative design process. Exemplar problems are utilized to investigate the potential design changes and performance improvements that can be attained by taking the directional dependence of the manufacturing process into account in the design of lattice structures.

Analyze Physical Design Process Using Big Data Tool

2015 ◽  
Vol 7 (2) ◽  
pp. 31-49 ◽  
Author(s):  
Waseem Ahmed ◽  
Lisa Fan
Keyword(s):  
Design Process ◽  
Data Extraction ◽  
Daily Basis ◽  
Physical Design ◽  
Data Repository ◽  
Chip Design ◽  
Asic Design ◽  
Design Engineers ◽  
Statistical Representation ◽  
And Performance

Physical Design (PD) Data tool is designed mainly to help ASIC design engineers in achieving chip design process quality, optimization and performance measures. The tool uses data mining techniques to handle the existing unstructured data repository. It extracts the relevant data and loads it into a well-structured database. Data archive mechanism is enabled that initially creates and then keeps updating an archive repository on a daily basis. The logs information provide to PD tool is a completely unstructured format which parse by regular expression (regex) based data extraction methodology. It converts the input data into the structured tables. This undergoes the data cleansing process before being fed into the operational DB. PD tool also ensures data integrity and data validity. It helps the design engineers to compare, correlate and inter-relate the results of their existing work with the ones done in the past which gives them a clear picture of the progress made and deviations that occurred. Data analysis can be done using various features offered by the tool such as graphical and statistical representation.

Cluster-Based Multi-Dimensional Visualization

2011 ◽  
pp. 89-113
Author(s):  
Douglas Janes ◽  
Michael J. Schulte ◽  
Ethan K. Brodsky ◽  
Walter F. Block
Keyword(s):  
Interventional Procedures ◽  
Timing Analysis ◽  
Time Frame ◽  
Frame Rate ◽  
Time Resolved ◽  
Gpu Cluster ◽  
Visualization System ◽  
Cluster Visualization ◽  
And Performance ◽  
Effective Visualization

There is a growing need for high-frame-rate low-latency visualization solutions as medical practice moves toward interventional procedures. We present a cost-effective visualization system well suited for off-line visualization and interventional procedures. Users can view large time-resolved multi-dimensional datasets in real time with GPU cluster visualization. In addition, computational pre-processing can be hidden by rendering across distributed graphics cards, leading to improved frame-rates over a single graphics card solution. Finally, rendering on graphics cards offloads CPU cycles for generating the next time frame in the visualization. We have developed a network arbitration protocol for GPU cluster visualization called “token scheduling.” Our protocol reduces communication latency, which in turn lowers visualization latency and improves system stability and scalability. In addition, we evaluate GPU cluster behavior and performance through a timing analysis. This analysis leads to a better understanding of cluster size needed to achieve the desired frame rate of a given problem.

Negotiating human engagement and the fixity of computational design: Toward a performative design space for the differently-abled bodymind

2020 ◽  
Vol 18 (2) ◽  
pp. 174-193
Author(s):  
Sean Ahlquist
Keyword(s):  
Environmental Factors ◽  
Structural Optimization ◽  
Design Process ◽  
Design Space ◽  
Computational Design ◽  
Social Nature ◽  
And Performance ◽  
The Moment ◽  
Cultural Entity

Computational design affords agency: the ability to orchestrate the material, spatial, and technical architectural system. In this specific case, it occurs through enhanced, authored means to facilitate making and performance—typically driven by concerns of structural optimization, material use, and responsivity to environmental factors—of an atmospheric rather than social nature. At issue is the positioning of this particular manner of agency solely with the architect auteur. This abruptly halts—at the moment in which fabrication commences—the ability to amend, redefine, or newly introduce fundamentally transformational constituents and their interrelationships and, most importantly, to explore the possibility for extraordinary outcomes. When the architecture becomes a functional, social, and cultural entity, in the hands of the idealized abled-bodied user, agency—especially for one of an otherly body or mind—is long gone. Even an empathetic auteur may not be able to access the motivations of the differently-abled body and neuro-divergent mind, effectively locking the constraints of the design process, which creates an exclusionary system to those beyond the purview of said auteur. It can therefore be deduced that the mechanisms or authors of a conventional computational design process cannot eradicate the exclusionary reality of an architectural system. Agency is critical, yet a more expansive terminology for agent and agency is needed. The burden to conceive of capacities that will always be highly temporal, social, unpredictable, and purposefully unknown must be shifted far from the scope of the traditional directors of the architectural system. Agency, and who it is conferred upon, must function in a manner that dissolves the distinctions between the design, the action of designing, the author of design, and those subjected to it.

Discovering a Hierarchical Design Process Model Using Text Mining

2016 ◽  
Author(s):  
Lijun Lan ◽  
Ying Liu ◽  
Wen Feng Lu
Keyword(s):  
Text Mining ◽  
Design Process ◽  
Process Model ◽  
Entity Recognition ◽  
Coarse Grained ◽  
Design Information ◽  
Design Project ◽  
Design Process Model ◽  
Process Oriented ◽  
Design Documents

The increasing design documents created in the design process provide a useful source of process-oriented design information. Hence, the need for automated design information extraction using advanced text mining techniques is increasing. However, most of the existing text mining approaches have problems in mining design information in depth, which results in low efficiency in applying the discovered information to improve the design project. With the aim of extracting process-oriented design information from design documents in depth, this paper proposes a layered text mining approach that produces a hierarchical process model which captures the process behavior at the different level of details. Our approach consists of several interrelated algorithms, namely, a content-based document clustering algorithm, a hybrid named entity recognition (NER) algorithm and a frequency-based entity relationship detection method, which have been integrated into a system architecture for extracting design information from coarse-grained views to fine-grained specifications. To evaluate the performance of the proposed algorithms, experiments were conducted on an email archive that was collected from a real-life design project. The results showed an increase in the detection accuracy for the process-oriented information detection.

Resistance Based Modeling of Collaborative Design

2004 ◽  
Author(s):  
Karen J. Ostergaard ◽  
Joshua D. Summers ◽  
Georges Fadel
Keyword(s):  
Design Process ◽  
Collaborative Design ◽  
Electrical Circuits ◽  
New Model ◽  
Design Information

The paper presents a new model for collaborative design. The model is analogous to electrical circuits with current (rate of design artifact synthesis and analysis), voltage (knowledge that drives the design process), and resistance (barriers to the exchange of design information). The resistances are identified from a collaborative design taxonomy. This model is illustrated through a simple example. Extensions and an assessment of the model are provided.

Flexible Multistage Bayesian Models for Use in Conceptual Design

2002 ◽  
Author(s):  
Jorge E. Pacheco ◽  
Cristina H. Amon ◽  
Susan Finger
Keyword(s):  
Conceptual Design ◽  
Design Process ◽  
Computational Models ◽  
Analytical Form ◽  
Surrogate Models ◽  
Improve Design ◽  
Process Visualization ◽  
Rigorous Framework ◽  
Main Effects

During conceptual design, designers need tools to help improve design decisions and reduce design times. We are working to develop techniques to create Bayesian surrogate models that respond to designers’ needs during conceptual stages of the design process. Bayesian surrogate models give analytical form to the overall performance of a system and can evolve along with the design. Bayesian surrogate models provide a mathematically rigorous framework in which computational models can be updated based on previous outcomes. In this paper, we present techniques that allow the addition or suppression of parameters without discarding previously obtained information. We also present a case study that illustrates how a surrogate model is constructed in stages when parameters are added or suppressed during the design process. Visualization tools, such as plots of the main effects of parameters, can be derived from surrogate models. These tools can be used to provide knowledge about the parameters that influence the design. Finally, a design problem is used to illustrate how Bayesian surrogate models can inform the designer about tradeoffs that would not be apparent from simulation data alone.

Lattice Structure Optimization With Orientation-Dependent Material Properties

2020 ◽  
Author(s):  
Conner Sharpe ◽  
Carolyn Conner Seepersad
Keyword(s):  
Additive Manufacturing ◽  
Design Process ◽  
Material Properties ◽  
Computational Models ◽  
Lattice Structure ◽  
Lattice Structures ◽  
Performance Improvements ◽  
Structural Applications ◽  
Manufacturing Techniques ◽  
And Performance

Abstract Advances in additive manufacturing techniques have enabled the production of parts with complex internal geometries. However, the layer-based nature of additive processes often results in mechanical properties that vary based on the orientation of the feature relative to the build plane. Lattice structures have been a popular design application for additive manufacturing due to their potential uses in lightweight structural applications. Many recent works have explored the modeling, design, and fabrication challenges that arise in the multiscale setting of lattice structures. However, there remains a significant challenge in bridging the simplified computational models used in the design process and the more complex properties actually realized in fabrication. This work develops a design approach that captures orientation-dependent material properties that have been observed in metal AM processes while remaining suitable for use in an iterative design process. Exemplar problems are utilized to investigate the potential design changes and performance improvements that can be attained by taking the directional dependence of the manufacturing process into account in the design of lattice structures.

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