Concurrent Collaborative Design
Organizers: Carolyn Seepersad and Steve Shooter
The ASME Design Automation Committee and the organizers of the Special Session on Concurrent/Collaborative Design invite papers that address the challenges of supporting engineering design and manufacturing in a concurrent/collaborative environment. Papers may be focused on one or more of the following representative topics:
- Decentralized design and decision-making, including multidisciplinary and multilevel applications
- Agent-based tools and methods
- Negotiation, conflict, and collaboration in engineering design, including game-based approaches and negotiation strategies
- Management and integration of information and knowledge for collaborative/concurrent design
- Industrial examples of concurrent and/or collaborative design applications
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Data Driven Risk Management for System Design
Organizers: Byeng Dong Youn, Wei Chen
The ASME Design Automation Committee and the organizers of the Special Session on Data-Driven Risk Management for System Design invite papers that address the theoretical and/or practical aspects of one or more of the following topic areas:
- Data acquisition and modeling of uncertainties in measurements (e.g., testing, lab. experiments, and survey).
- Information extraction from insufficient, evolving, and heterogeneous data.
- Data modeling for Verification and Validation (V&V).
- Verification and Validation (V&V) activities for system risk assessment.
- Validation metrics with insufficient and evolving data.
- Random fields and process characterization.
- Nondeterministic analysis (e.g., probability, fuzzy, evidence, Bayes, etc.) for system risk assessment.
- Propagation of uncertainties through various disciplines/levels/scales.
- Data-driven risk-based analysis and design where data comes from objective and/or subjective (e.g., customer data, expert data) sources.
- Topology/shape/sizing design optimization for risk-based decision.
- Consequence evaluation of system risks.
- Data mining, dimensionality reduction, and visualization for uncertainty- and risk-based decision making.
- Topics linking reliability, quality, risk, and their coupling.
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Decision Making in Engineering Design
Organizers: J. Donndelinger
The ASME Design Automation Committee and the organizers of the Special Session on Decision-Making in Engineering Design invite researchers to submit papers covering innovative approaches to and developments in:
- Structuring design decisions,
- Supporting decision making in ill-defined spaces,
- Decision variable to performance mapping,
- Modeling preferences and tradeoffs,
- Representing uncertainty in design decisions,
- Making decisions in multiattribute and multiobjective environments,
- Managing multi-scale and multi-disciplinary complexity, and
- Studying the consistency and validity of decisions and decision support tools.
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Decomposition Methods in Design
Organizers: Harrison Kim
The ASME Design Automation Committee invites papers that deal with methods and applications based on a "decomposition" approach as opposed to single, large-scale all-in-one approach to engineering design. Two major topics are invited - 1) How to decompose a complex, large-scale system design problem; and 2) How to model or solve decomposition-based problems. Sample topics of interest include but are not limited to the following:
- Decomposition methods
- Dynamic modeling of decomposition process
- Decomposition of artifact or process
- Coordination methods for decomposed problems
- Optimization methods for decomposed problems
- Distributed decision making
- Hierarchical vs. non-hierarchical approaches
- Single vs. multi-level approaches
- Decomposition software
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Design and Development of Reconfigurable Systems
Organizers: Scott Ferguson
Reconfigurable systems are systems that are able to reconfigure or adapt to expected and unexpected changes in operating environments, allowing operation performance to effectively continue in uncertain environments. The ASME Design Automation Committee invites papers that deal with the theoretical and/or applied aspects of one or more of the following topic areas:
- Reconfigurable Systems Design
- Theoretical foundations
- Fundamental algorithms
- Reconfigurable System Analysis
- Predictable environmental changes
- Unpredictable environmental changes
- Reconfigurable System Synthesis
- Methods for Adaptive and Flexible Systems Design
- Change propagation analysis in system design
- Environment Sensing and Information Fusion
- Case Studies and Test Bed Results
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Design for Energy Efficiency
Organizer: James Allison
The ASME Design Automation Committee invites papers focused on design theory, innovation, or methods that enhance energy efficiency of energy consuming products or systems. Analytical design techniques that reduce energy consumption while maintaining or improving performance are of particular interest. Sample topics of interest include but are not limited to the following:
- Using optimization to improve energy efficiency
- Reducing energy consumption through process analysis and redesign
- Energy recovery and reuse
- Advanced/intelligent/alternative transportation systems
- Novel control techniques that reduce energy consumption
- Efficient energy storage
- Challenges in transitioning to more efficient technologie
- Economics of energy efficient technology
- Energy savings through system simplification
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Designing for Human Variability
Organizer: M.B. Parkinson
One important source of variability in the performance and success of products designed for use by people is the people themselves. In many cases, the acceptability of the design is affected more by the variability in the human users than that attributable to the hardware from which the product is constructed. Designing for Human Variability is a D-f-X capability (DfHV) wherein design automation tools are utilized to consider accommodation of the user as part of the overall system performance.The ASME Design Automation Committee and the Session Organizers of the Special Session on Designing for Human Variability invite papers that deal with the theoretical and/or applied aspects of DfHV, including one or more of the following topic areas:
- Modeling of preference
- Quantifying accommodation and fit
- Allocation of adjustability
- Application of design automation tools to the design of products, tasks, and environments
- Consideration of different populations in design (e.g., aging population, people with disabilities, etc.)
- Modeling variability within and across populations
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Design for Market Systems
Organizers : J.J. Michalek and N.A. Williams
The ASME Design Automation Committee and the Session Organizers of the Special Session on Design for Market Systems invite papers that deal with the theoretical and/or applied aspects of one or more of the following topic areas, and related topics, as they relate to engineering design:
- Role of markets in design decision-making
- Design for profit
- Design for marketing
- Economics and econometrics
- Distribution channels and supply chains
- Consumer choice and demand modeling
- Survey design and consumer preference solicitation
- Market segmentation and design for consumer heterogeneity
- Product differentiation and mass customization
- Product bundling and product portfolios
- Competition and game theory
- Innovation and entrepreneurship
- Disruptive technologies
- Enterprise planning, cost forecasting, and operations
- Decision-making for dynamic markets
- Design under uncertainty of market volatility
- Risk assessment, analysis and management
- Real options
- Social welfare, externalities, and green design
- Public policy, regulation and infrastructure
- Life cycle assessment
- Requirements management
- Globalization and off-shoring
- Intellectual property
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Design Languages and Grammars
Organizers: Seth Orsborn, Jay McCormack
Design languages and grammars are means to describe the products and processes in such a way that compilers are able to execute the language rules. The session is intended to explore, share and discuss new concepts and applications of design languages and grammars and will reflect the current state of the art as well as the latest developments in this area of computer-assisted design generation and representation of design artifacts. Topics do include but are not limited to:
- String-based design languages and grammars
- Shape-based design languages and grammars
- Graph-based design languages and grammars
- Theoretical aspects of design languages such as consistency, monotony and correctness (etc.)
- Practical application case studies and lessons learned thereof
- Future trends in design language representations towards UML/SYSML
- Interplay of language rules and language ontology
- Knowledge import/export in/out of design languages via interfaces and many more....
The impact of this new technology will not only affect the design community in the way design is thought of and done, but will also affect the landscape of tools and representation languages which will be employed for this purpose in the future.
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Design of Multiscale Engineering Systems
Organizers: Wei Chen, Carolyn Seepersad, Yan Wang
The ASME Design Automation Committee and the organizers of the Special Session on Design of Multiscale Engineering Systems invite papers that address the challenges of using modeling and simulation to design multiscale systems (e.g., products, materials, and/or processing paths). Papers may be focused on the theoretical and/or applied aspects of one or more of the following representative topics:
- Integrated design of products and materials
- Collaborative, multilevel, or multidisciplinary design methods for multi-scale systems.
- Integration of theory, simulations, and experiments in multi-scale design applications.
- Uncertainty representation, quantification, management, and propagation to support design validation, evaluation, and/or decision-making for multidisciplinary, multi-scale applications.
- Multiscale modeling and simulation advancements, including multi-scale, multi-physics simulation methods and discrete-to-continuum integration.
- Computer-based enabling technologies (e.g. visualization, optimization, imaging, prototyping, distributed and parallel computing, information/knowledge management, scientific visualization, data mining) for engineering multiscale systems.
- Simulation of multiscale fabrication and self-assembly processes in manufacturing and synthesis.
- Modeling and simulation of geometric structures and physical properties of organic and inorganic materials.
- Topology design and optimization techniques for multiscale applications.
- Novel materials and devices by design, and their applications.
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Design Optimization Algorithms
Organizers: Mohamed Trabia
A key operation in Design Automation processes is the use of optimization technology to efficiently obtain optimal designs. The ASME Design Automation Committee and the Session Organizers of the Special Session on Design Optimization Algorithms invite papers that deal with one or more of the following topics:
- Novel Direct and Heuristic Algorithms for Design Optimization
- Enhancement to existing Design Optimization Algorithms
- Innovative approaches to Design Optimization (including the use of IT advances for improved optimization algorithms)
- Practical and Unique applications of Design Optimization Algorithms
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Direct Digital Manufacturing
Organizer: Frank Liou
Direct digital manufacturing (DDM) is the process of going directly from an electronic digital representation of a part to the final product via additive and/or subtractive manufacturing. The ASME Design Automation Committee and the Organizer of the Special Session on Direct Digital Manufacturing invite papers that deal with the theoretical and/or applied aspects of one or more of the following topic areas.
- Representation and modeling of part representation, error representative, and/or process representation for direct digital manufacturing processes, such as rapid prototyping processes, CNC machining processes, micro-machining processes, etc.
- Research and development of direct digital manufacturing processes
- Direct digital manufacturing process parameter optimization
- Sensor and control algorithms in direct digital manufacturing processes
- Applications of direct digital manufacturing
- Direct digital system integration
- Process planning issues in direct digital manufacturing: planning for tool path and build, process planning optimization
- Direct digital manufacturing in design: evaluate the impact that DDM will have upon product design and how designers will need to change their thinking if they are going to take full advantage of the opportunities afforded by DDM
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Geometric Modeling and Algorithms for Design and Manufacturing
Organizers: Horea Ilies
The ASME Design Automation Committee and the Organizers of the Special Session on Geometric Modeling and Algorithms for Design and Manufacturing invite papers that deal with the theoretical and/or applied aspects of one or more of the following topic areas.
- Geometric data representation
- Geometry simplification or compression
- Parametric and Feature Based Modeling:
- geometric constraints and constraint solving
- shape modeling with constraints
- algorithmic parameterization of geometric models
- feature based modeling and feature recognition
- parameterization of mesh data
- parametric modeling of assemblies
- parametric optimization
- data exchange of parametric and feature models
- open problems in parametric and feature modeling
- Reverse engineering and model reconstruction from scanned data
- Geometric problems in manufacturing:
- NC machining
- Molding and casting
- Layered manufacturing / rapid prototyping
- Manufacturability evaluation and feedback
- Geometric reasoning
- Visual or haptic geometry rendering
- Shape matching / search
- Geometric dimensioning and tolerancing
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Innovative Industrial Applications, Developments, Perspectives
Organizer: Liping Wang
The ASME Design Automation Committee and the Organizer of the Special Session on Innovative Industrial Applications invite papers on the computational design of industrial product, material, and/or manufacturing processes and systems. Priority will be given to those papers that describe innovative applications of advanced design automation techniques to real-world industrial products and processes. Sample topics of interest include but are not limited to the following:
- Innovative applications of optimization methods
- Sizing, shape, and topology design
- Multidisciplinary design optimization
- Design sensitivity analysis
- Design visualization and engineering data mining
- Materials/manufacturing processing design
- Inverse problems in engineering
- Design process management
- High performance computing for design automation
- Business process modeling
- Knowledge Based and Heuristic Optimization
- Benchmarking, testing, and classification of computer-aided optimization (CAO) and process integration software
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Managing Design and Analysis Processes
Organizer: Farhad Ameri
The ASME Design Automation Committee and the Session Organizers of the Special Session on Managing Design and Analysis Processes invite papers that deal with the theoretical or applied aspects of one or more of the following technical areas:
- Managing uncertainties in engineering design
- Managing complexities in engineering design
- Managing product lifecycle knowledge
- Decision support systems in engineering design and analysis
- Workflow management in design and analysis
- Models of design processes
- Collaborative and distributed design processes
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Metamodel-Based Design Optimization (MBDO)
Organizers: Rahul Rai, Liping Wang, David Romero
The ASME Design Automation Committee and the Organizer of the Special Session on Metamodel-Based Design Optimization (MBDO) invite papers that deal with the theoretical and/or applied aspects of one or more of the following topic areas.
- Model approximation: Approximation of computation-intensive processes and associated gradient or other properties across the entire design space; innovative metamodeling techniques; flexible metamodeling for variable fidelity models; multi-response metamodeling; uncertainty and validation of metamodels
- Fixed and Sequential Sampling: Fixed, adaptive, sequential, or other intelligent sampling methods for metamodeling techniques and MBDO.
- Large-scale metamodeling techniques: Theoretical studies on large-scale design problems; methods or strategies for large-scale metamodeling; testing of existing methods with large-scale design problems
- Design space exploration: Design space exploration to enhance the engineers’ understanding of the design problem; design visualization; interactive space exploration methods and tools; application in engineering design
- Problem formulation: Metamodeling strategies that aid the formulation of design optimization problems, such as, the number and search range of design variables may be reduced; certain ineffective constraints may be removed; a single objective optimization problem may be changed to a multi-objective optimization problem or vice versa.
- Optimization support: Methods and application of metamodeling techniques to solve global optimization, multi-objective optimization, multidisciplinary design optimization, and probabilistic optimization problems occurring in industry.
- Other topics as related to MBDO
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Modeling, Design and Analysis of Sustainable Energy Systems
Organizers: Achille Messac, Ritesh Khire, Kazuhiro Saitou, Karim Hamza
The numerous sources of energy and the various ways that humans consume energy play an important role in the design of many engineering systems. Global warming concerns and the increasing scarcity of some energy resources are at the core of our pertinent interests. The engineering design community can play a critical role in the development of innovative design approaches that have practical impacts on industry, government, and academic objectives. The last decade has seen renewed interest in (1) energy harvesting from natural resources, and (2) better utilization of existing energy systems. Both, government agencies and industry are making long term commitments to research and development of innovative, environmentally friendly energy systems.
The design of next generation energy systems poses several challenges. The systems must have low environmental impact while achieving economically feasible advantages over existing conventional approaches. Additionally, there are many reliability and robustness issues with many of the renewable energy sources (e.g. solar radiation and wind) that need to be addressed before they can take over fossil-fuel based systems. Developing design methods and new systems that address such complex requirements presents unique challenges to design/optimization community.
This session invites contributors of papers that advance and recognize these broad objectives. Examples of technical topical areas include the following:
- Modeling, simulation and multi-disciplinary analysis in energy systems
- Uncertainty quantification and robustness issues in energy systems
- First-Order, Empirical and Response Surface-models in energy systems
- Life cycle assessment, environmental studies and waste management of energy systems
- Design optimization methods for energy systems
- Optimal economics and adaptivity in the design of energy systems
- Product Families for energy systems
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Multidisciplinary Design Optimization
Organizers: James Allison and Mian Li
The ASME Design Automation Committee invites papers that deal with methods and applications to deal with optimal design of complex engineering systems which requires analysis that accounts for interactions amongst the disciplines (or parts of the system) and which seeks to synergistically exploit these interactions. The session offers a forum for researchers and engineers to explore ways to handle complex problems arising from the interactions between systems. Sample topics of interest include but are not limited to the following:
- Problem decomposition
- Approximations
- Visualization
- Trade-off analysis
- Distributed/all-in-one approaches
- Efficient optimization methods
- Multi-level approaches
- Combined plant and control design
- Parallel processing/high performance computing Multi-objective optimization Large-scale and large system applications Integrating with uncertainty Innovative industrial applications Global reliability based multi-objective optimization Software development Emerging technologies
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Multi-Physics, Multi-Scale Modeling
Organizers: Trevor Bailey and Ritesh Khire
Increasing complexities of engineering systems have motivated businesses to pursue physics based modeling approaches to engineering design. Here, we are interested in modeling approaches that capture systems’ multi-disciplinary nature (e.g. aircraft wing) or multi-scale nature (e.g. air-conditioning of a multi-storied building). Capturing appropriate level of physics within such models is one of the key challenges. Additionally, high resource requirements (model development/maturity time and computational time) present another key challenge. Unavailability of modeling techniques that overcome these challenges poses a barrier in deploying these models in business environment. Pure statistics based approximation methods, although fast, fail to capture underlying physics. This typically limits their usage to areas where innovation is not required. Developments of modeling techniques that capture appropriate level of physics in a systematic and time efficient manner are required.
Papers are invited in the area of multi-physics/multi-level modeling, with a primary emphasis on capturing the underline physics that defines the system. At the same time, the research should also address other critical challenges such as development time and computational burden. The topics include, but not limited to:
Model Development:
- Determine the level of physics that should be capture in a model (in other words, determine the required fidelity of the model)
- Physics based reduced order modeling: extraction, validation and quantifying confidence bounds
- Issues in systems involving multiple-physics and multiple-scale (such as sub-system integration)Identifying and handling irregularity/discontinuity in design space
- Other modeling techniques, such as multi-fidelity model, decomposition based model, etc
Design Space Exploration:
- Innovative design space exploration techniques that exploit the underlying physics or the model structure
- Interactive design space exploration techniques that put designer in the exploration loop
Decision Making:
- Special/unique decision making issues encountered with multi-physics/multi-scale systems
- Interactive decision making techniques
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Multi-Objective Optimization and Sensitivity Analysis
Organizers:Shapour Azarm, Mian Li, David Romero, Chris Mattson, Ping Ge
The ASME Design Automation Committee and the Session Organizers of the Special Session on multi-objective optimization and sensitivity analysis invite papers that deal with the theoretical and/or applied aspects of one or more of the following topic areas, and related topics:
- Gradient-based multi-objective optimization methods
- Evolutionary multi-objective optimization methods
- Engineering design applications of multi-objective optimization & sensitivity analysis
- Local and global sensitivity analysis with multi-objective optimization
- Quality metrics for multi-objective solutions
- Multi-objective optimization under uncertainty
- Multi-objective multi-disciplinary optimization
- Multi-objective multi-disciplinary sensitivity analysis
- DOE and meta-modeling with multi-objective optimization
- Approximation-assisted multi-objective optimization
- Approximation-assisted multi-objective multi-disciplinary optimization
- Visualization methods
- Software tools
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Product and System Optimization
Organizers : M. Yoshimura and S. Nishiwaki
The ASME Design Automation Committee and the Session Organizers of the Special Session on Product and System Optimization invite papers that deal with optimization for products, optimization including multidisciplinary factors, system optimization, multiobjective optimization, and practical product optimization. Sample topic areas include:
- Optimization for product designs and product systems
- Optimization for product developments and managements
- Optimization including aesthetic factors
- Optimization based on concurrent engineering and collaborative circumstances
- Optimization including lifecycle factors
- Optimization that includes novel evaluative functions
- Application of shape/topology optimizations to product designs
- Application of surrogate model techniques to product designs
- Development of simplified evaluation/design models for supporting conceptual designs
- Practical optimization techniques and clues
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Product Family and Product Platform Design
Organizers: Tim Simpson, Seung Ki Moon, Ritesh Khire
The ASME Design Automation Committee and the Organizers of the Special Session on Product Family and Product Platform Design invite papers that deal with the theoretical and/or applied aspects of one or more of the following topic areas.
- Product family and product platform design methods
- Module-based product families
- Scale-based product families
- Top-down and bottom-up approaches to platform design
- Portfolio management and product line structuring
- Product family and product platform assessment
- Commonality
- Variety and differentiation
- Cost-based assessment methods
- Product Family and Product Platform Optimization
- Formulations and algorithms for solving product family optimization problems
- Data visualization strategies to support product family design optimization
- Benchmarking studies using the web-based product family testbed: http://edog.mne.psu.edu/platform/testbed
- Product family and product platform case studies
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Service Design Strategy and Optimization
Organizers: Seung Ki Moon and Harrison Kim
Service design is an emerging area of research as the concept of “product” extends beyond physical systems. In this session, we invite papers on service design and service-related product design. The ASME Design Automation Committee invites papers that deal with the theoretical and/or applied aspects of one or more of the following questions and/or topic areas:
- What are the “new” aspects of service design compared to physical product design?
- What are the core components – design decision variables, parameters, objectives and constraints – in service design?
- What are the available design and solution methodologies?
- What are the application areas?
- Methodologies and challenges on service design
- Service design knowledge representation, acquisition, and management
- Knowledge capturing and reusing in service design
- Service modeling and design
- Cost model for service design
- Formulations and algorithms for solving service design optimization problems
- Service design strategies and optimization
- Customized service design and development
- Service family and service platform design and optimization
- Service design evaluation
- Service design and market segmentation in uncertain environments
- Design methods for combining products and services
- Product-Service Systems (PSSs) and applications
- Service engineering
- Industrial applications and case studies
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Simulation-Based Design Under Uncertainty
Organizers: Z. P. Mourelatos, Sirisha Ragavajhala, Kuei-Yuan Chan, Mian Li, Jay Martin, Po Ting Lin, Liping Wang
The ASME Design Automation Committee and the Session Organizers of the Special Session on Simulation-Based Design under Uncertainty invite papers that deal with the theoretical and/or applied aspects of one or more of the following topic areas:
- Uncertainty representation and quantification in engineering design
- Design evaluations under uncertainty
- Computational techniques for simulation modeling under uncertainty
- Fidelity of simulation models; model development and validation
- Reliability-based and robust design methodologies
- Propagation of uncertainties in decomposed-based design (multilevel hierarchies)
- Probabilistic analysis methods (e.g., Monte-Carlo simulations etc.)
- Nondeterministic methods and applications
- Numerical algorithms for analysis and optimization under uncertainty
- Probability, possibility, or evidence theory-based analysis and design methodology
- Response surface method for analysis and design under uncertainty
- Modeling and analysis of random fields or processes
- Stochastic programming applications in probabilistic engineering design
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Structural/Topology Optimization and its Applications
Organizers: Damiano Pasini , and Hae Chang Gea
The ASME Design Automation Committee and the Session Organizers of the Special Session on Structural/Topology Optimization and its Applications invite papers that deal with the theoretical and/or applied aspects of one or more of the following topic areas:
- Development of structural and topology optimization methods
- Development of non-gradient based methods for structural and topology optimizations, including Genetic Algorithms and Bio-mimetic approaches
- Applications of structural and topology optimization
- Computational and analysis techniques for large scale structural and topology optimization
- Numerical optimization algorithms for large scale structural and topology optimization
- Non-deterministic structural and topology optimization methods
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Sustainability in Design Optimization
Organizer: Jarod Kelly
An increasing need for environmentally benign products and processes exists. Sustainability in design is required to lessen the impact that engineering has on the environment. Tools and methods for evaluating and measuring the life-cycle impacts of products exist and are increasingly being applied during the design process. We invite work that uses sustainability metrics within an analytical or optimization framework. The following list of topics is suggested, though is not exhaustive of possible topics:
- life cycle optimization
- optimally sustainable product replacement strategies
- design under environmental constraints
- transportation systems for green house gas reduction
- renewable energy analysis and optimization
- social implications of sustainable design
- uncertainty in sustainable design
- environmental implications of design and/or policy
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Validating Predictive Models in Engineering Design under Uncertainty
Organizers :Wei Chen, Byeng Dong Youn
The ASME Design Automation Committee and the organizers of the Special Session on Validating Predictive Models in Engineering Design invite papers that deal with the theoretical and/or applied aspects of one or more of the following representative and non-exclusive topics:
- Assessment of predictive capabilities of computational models
- Model validation metrics
- Uncertainty quantification
- Model improvement or updating methods
- Combination of computer and physical experiments
- Confidence in design decisions using predictive models
- Certification of designs obtained using predictive models
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Visualization and Virtual Reality in Design
Organizer: Judy Vance
Recent advances in computer hardware and software provide a rich environment for the xploration of the use of visualization and virtual reality in design automation. The ASME Design Automation Committee invites papers that deal with the theoretical and/or applied aspects of one or more of the following topic areas:
- Virtual reality to aid product prototype evaluations;
- Virtual reality to facilitate concurrent engineering;
- Visualization as a communication aid among diverse design teams members;
- Applications of VR in industry;
- The role of haptics in facilitating design automation;
- Virtual reality as the next computing interface to design data.
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Visual Design Systems
Organizers: Levent Burak Kara, Tolga Kurtoglu, Maria C. Yang
The ASME Design Automation Committee and the Organizers of the Special Session on Visual Design Systems invite papers that deal with the theoretical and/or applied aspects of one or more of the following topic areas:
The ASME Design Automation Committee and the Organizers of the Special Session on Visual Design Systems invite papers that deal with the theoretical and/or applied aspects of one or more of the following topic areas:
- Visual Representation and Reasoning
- Visual design representation and methodologies
- Geometric reasoning
- Visual decision support systems
- Data visualization, organization and interaction
- Diagrammatic reasoning and knowledge capture
- Visual creativity and innovation
- Design Synthesis Methods
- Graphical design methods
- Computational geometry and solid modeling
- Shape-based generative design
- Shape grammars
- Visual Design Tools
- Sketching in design
- Virtual/Augmented reality for design
- Multi-modal interfaces
- Best practices for man-machine interaction in design
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