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In This Volume
Volume 2: 42nd Computers and Information in Engineering Conference (CIE)
Front Matter
42nd Computers and Information in Engineering Conference (CIE)
AMS-CAPPD-SEIKM: Artificial Intelligence and Machine Learning in Design and Manufacturing
Reinforcement Learning As an Alternative for Parameter Prediction In Design for Sheet Bulk Metal Forming
IDETC-CIE 2022; V002T02A001https://doi.org/10.1115/DETC2022-89073
Topics:
Design
,
Metalworking
,
Reinforcement learning
,
Genetic algorithms
,
Machine learning
,
Manufacturing
,
Pareto optimization
,
Probes
Application of Transfer Learning in Metalworking Fluid Distinction
IDETC-CIE 2022; V002T02A003https://doi.org/10.1115/DETC2022-89452
Topics:
Acoustic emissions
,
Algorithms
,
Artificial neural networks
,
Data mining
,
Fluids
,
Metalworking
,
Signals
,
Thread
,
Water
,
Condition monitoring
A Sequential Decision Making Approach to Learn Process Parameters by Conducting Experiments on Sacrificial Objects
IDETC-CIE 2022; V002T02A004https://doi.org/10.1115/DETC2022-89810
Topics:
Decision making
,
Computation
,
Manufacturing
,
Metamodeling
,
Painting
,
Risk
,
Robotics
,
Sprays
,
Tradeoffs
Synthetic Image Assisted Deep Learning Framework for Detecting Defects During Composite Sheet Layup
IDETC-CIE 2022; V002T02A005https://doi.org/10.1115/DETC2022-90084
Topics:
Composite materials
,
Flaw detection
,
Manufacturing
,
Machinery
,
Simulation
,
Trains
Finding Optimal Sequence of Mobile Manipulator Placements for Automated Coverage Planning of Large Complex Parts
IDETC-CIE 2022; V002T02A006https://doi.org/10.1115/DETC2022-90105
Topics:
Manipulators
,
Sensors
,
Robotics
,
Uncertainty
,
Algorithms
,
Computation
,
Construction
,
Degrees of freedom
,
Geometry
,
Kinematics
AMS-CAPPD-SEIKM: Design, Simulation, and Optimization for Additive Manufacturing
Stress Trajectory Guided Structural Design and Topology Optimization
IDETC-CIE 2022; V002T02A012https://doi.org/10.1115/DETC2022-89030
Topics:
Optimization
,
Stress
,
Structural design
,
Topology
,
Trajectories (Physics)
,
Density
,
Design
,
Finite element analysis
,
Stiffness
,
Lightweight structures
Review of Transfer Learning in Additive Manufacturing Modeling
IDETC-CIE 2022; V002T02A013https://doi.org/10.1115/DETC2022-89300
Topics:
Additive manufacturing
,
Modeling
GraMMaCAD: Interactively Defining Spatially Varying FGMs on BRep CAD Models
IDETC-CIE 2022; V002T02A014https://doi.org/10.1115/DETC2022-89552
Topics:
Computer-aided design
Towards a Porosity Aware Stochastic Framework for Computing Apparent Mechanical Properties of Additively Manufactured Parts
Athanasios Iliopoulos, Colin A. Stewart, Andrew J. Birnbaum, John C. Steuben, David J. Rowenhorst, John G. Michopoulos
IDETC-CIE 2022; V002T02A018https://doi.org/10.1115/DETC2022-90992
Spatial-Temporal Modeling Using Deep Learning for Real-Time Monitoring of Additive Manufacturing
IDETC-CIE 2022; V002T02A019https://doi.org/10.1115/DETC2022-91021
Topics:
Additive manufacturing
,
Lasers
,
Modeling
Design of a Bed Rotation Mechanism to Facilitate In-Situ Photogrammetric Reconstruction of Printed Parts
IDETC-CIE 2022; V002T02A020https://doi.org/10.1115/DETC2022-91106
Topics:
Design
,
Rotation
,
Machinery
,
Additive manufacturing
,
Photogrammetry
,
Polymers
,
Temperature
,
Feedback
,
Modeling
,
Printing
AMS-CAPPD: Digital Twin: Advanced Human Modeling and Simulation in Engineering
Assessments and Evaluation Methods for Upper Limb Exoskeleton - a Literature Survey
IDETC-CIE 2022; V002T02A021https://doi.org/10.1115/DETC2022-88968
Topics:
Evaluation methods
,
Exoskeleton devices
Hybrid Predictive Model for Assessing Spinal Loads for 3d Asymmetric Lifting
IDETC-CIE 2022; V002T02A022https://doi.org/10.1115/DETC2022-89127
Topics:
Musculoskeletal system
,
Stress
,
Wounds
,
Muscle
,
Dynamics (Mechanics)
,
Optimization
,
Compression
,
Degrees of freedom
,
Electromyography
,
Equations of motion
Resilience Modeling in Complex Engineered Systems With Human-Machine Interactions
IDETC-CIE 2022; V002T02A024https://doi.org/10.1115/DETC2022-89531
Topics:
Machinery
,
Modeling
,
Resilience
,
Design
,
Failure
,
Design methodology
,
Dynamics (Mechanics)
,
Errors
,
Teams
Upper Extremity Joint Torque Estimation Through an EMG-Driven Model
IDETC-CIE 2022; V002T02A026https://doi.org/10.1115/DETC2022-89952
Topics:
Electromyography
,
Musculoskeletal system
,
Torque
,
Wounds
AMS: Advanced Modeling and Simulation (AMS General)
SWAGE: A 3D Arbitrary-Order Element Mesh Library to Support Diverse Numerical Methods
IDETC-CIE 2022; V002T02A029https://doi.org/10.1115/DETC2022-89562
Topics:
Numerical analysis
,
Space
,
Computer software
,
Finite element analysis
,
Fluids
AMS: Computational Multiphysics Applications
Incorporating Performance Portability and Data-Oriented Design in Phase-Field Modeling
IDETC-CIE 2022; V002T02A031https://doi.org/10.1115/DETC2022-89513
Topics:
Design
,
Graphics processing units
,
Modeling
,
Architecture
,
Computer software
,
Computers
,
Simulation
Elasto-Plasticity, Damage and Multiphysics Effects on the Behavior of Adhesive Step Lap Joints
IDETC-CIE 2022; V002T02A032https://doi.org/10.1115/DETC2022-90996
Topics:
Adhesives
,
Damage
,
Elastoplasticity
,
Failure
,
Design
,
Excitation
,
Plasticity
,
Aircraft
,
Alloys
,
Engineering design processes
Controlling Microwave Energy Deposition Using Active Plasma Elements for Material Processing Applications
Benjamin D. Graber, Athanasios P. Iliopoulos, John G. Michopoulos, John C. Steuben, Nicole A. Apetre, George M. Petrov, Luke A. Johnson, Richard P. Fischer, Edward P. Gorzkowski, Eric A. Patterson
IDETC-CIE 2022; V002T02A033https://doi.org/10.1115/DETC2022-91096
AMS: Inverse Problems in Science and Engineering
A Parallel Multi-Constraint Topology Optimization Solver
IDETC-CIE 2022; V002T02A034https://doi.org/10.1115/DETC2022-89514
Topics:
Optimization
,
Topology
,
Algorithms
,
Bearings
,
Density
,
Design
,
Equilibrium (Physics)
,
Errors
,
Filters
,
Finite element analysis
AMS: Material Characterization Methods and Applications
X-Ray Marching for the Computational Modeling of Tomographic Systems Applied to Materials Applications
IDETC-CIE 2022; V002T02A035https://doi.org/10.1115/DETC2022-91129
Topics:
Computer simulation
,
X-rays
,
Physics
,
Dimensions
AMS: Simulation in Advanced Manufacturing
Digital Twin Modeling Method for Container Terminal in Port
IDETC-CIE 2022; V002T02A036https://doi.org/10.1115/DETC2022-89833
Topics:
Containers
,
Digital twin
,
Modeling
,
Construction
,
Gates (Closures)
,
Dimensions
,
Economics
,
Simulation
,
System architecture
Localized Dielectric Sintering With Magnetron for Microwave Material Processing
Benjamin D. Graber, Athanasios P. Iliopoulos, John G. Michopoulos, John C. Steuben, Andrew J. Birnbaum, Edward P. Gorzkowski, Eric A. Patterson, Richard P. Fischer, George M. Petrov, Luke A. Johnson
IDETC-CIE 2022; V002T02A037https://doi.org/10.1115/DETC2022-91132
Topics:
Materials processing
,
Microwaves
,
Sintering
,
Temperature
,
Heating
,
Materials properties
,
Microwave propagation
,
Radiation (Physics)
,
Cavities
,
Ceramics
AMS: Uncertainty Quantification in Simulation and Model Verification and Validation
Integrated Computational Materials Engineering With Monotonic Gaussian Processes
IDETC-CIE 2022; V002T02A038https://doi.org/10.1115/DETC2022-89213
Topics:
Interpolation
,
Machine learning
,
Materials science
,
Physics
,
Trains
Digital Twin Approach to Build Predictive Maintenance Model and Its Case Study
IDETC-CIE 2022; V002T02A039https://doi.org/10.1115/DETC2022-89357
Topics:
Digital twin
,
Maintenance
,
Trajectories (Physics)
A Comparative Study of Surrogate Modeling of Nonlinear Dynamic Systems
IDETC-CIE 2022; V002T02A040https://doi.org/10.1115/DETC2022-90027
CAPPD: Computational Fabrication for Product Design and Development
Multi-Scale Topology Optimization With Neural Network-Assisted Optimizer
IDETC-CIE 2022; V002T02A041https://doi.org/10.1115/DETC2022-89538
Topics:
Optimization
,
Topology
,
Design
,
Machine learning
,
Resolution (Optics)
,
Structural design
,
Artificial neural networks
,
Density
,
Filters
,
Interpolation
CAPPD: Computer-Aided Product and Process Development (CAPPD General)
A System Approach to Contact Fatigue Life Estimation of Right-Angled Geared System
IDETC-CIE 2022; V002T02A043https://doi.org/10.1115/DETC2022-87433
Topics:
Fatigue life
,
Gears
,
Stress
,
Fatigue
,
Aerospace industry
,
Bridges (Structures)
,
Computation
,
Cycles
,
Fatigue failure
,
Finite element analysis
Optimal Position of Cameras Design in a 4D Foot Scanner
IDETC-CIE 2022; V002T02A044https://doi.org/10.1115/DETC2022-89145
Topics:
Additive manufacturing
,
Algorithms
,
Design
,
Errors
,
Product evaluation
,
Resolution (Optics)
,
Robustness
On the Influence of Mean Value on Random Fatigue Damage Computation
IDETC-CIE 2022; V002T02A045https://doi.org/10.1115/DETC2022-89868
Topics:
Computation
,
Fatigue damage
Toward Formal Qualitative Reasoning to Support Functional Decomposition
IDETC-CIE 2022; V002T02A046https://doi.org/10.1115/DETC2022-89940
Topics:
Algorithms
,
Design
,
Flow (Dynamics)
,
Formal methods
,
Heating
,
Natural language processing
,
Physics
,
Systems engineering
,
Topology
Concurrent Shape and Topology Optimization of Metamaterials Based on Periodic Surface Modeling
IDETC-CIE 2022; V002T02A048https://doi.org/10.1115/DETC2022-91214
Topics:
Metamaterials
,
Modeling
,
Optimization
,
Shapes
,
Topology
,
Design
,
Poisson ratio
,
Shape optimization
,
Structural optimization
,
Weight (Mass)
CAPPD: Digital Human Modelling for Design and Manufacturing
Quantifying Vision Obscuration of A-Pillar Concept Variants Using Digital Human Modeling
IDETC-CIE 2022; V002T02A049https://doi.org/10.1115/DETC2022-89781
Topics:
Columns (Structural)
,
Generative design
,
Modeling
Dynamic 3D Mesh Reconstruction Based on Nonrigid Iterative Closest-Farthest Points Registration
IDETC-CIE 2022; V002T02A051https://doi.org/10.1115/DETC2022-90073
Topics:
Algorithms
,
Design
,
Fittings
,
Noise (Sound)
,
Probability
,
Workflow
CAPPD: Human-in-the Loop Product Design and Automation
ShapOrator: Enabling Design Iteration for Young Designers Through Shape Verbalization
IDETC-CIE 2022; V002T02A053https://doi.org/10.1115/DETC2022-90176
Topics:
Design
,
Shapes
,
Space vehicles
,
Students
,
K-12 students
,
Manufacturing
Personalized Product Design Through Digital Fabrication
A. (Sander) L. M. Minnoye, Farzam Tajdari, E. (Zjenja) L. Doubrovski, Jun Wu, Felix Kwa, Willemijn S. Elkhuizen, Toon Huysmans, Yu (Wolf) Song
IDETC-CIE 2022; V002T02A054https://doi.org/10.1115/DETC2022-91173
Topics:
Additive manufacturing
,
Design
,
Manufacturing
,
Product design
,
Product evaluation
CAPPD: Product and Process Design Automation for Industry 4.0
Context-Aware Industrial Robot Testing: Low-Cost Virtual Prototyping Environment
Alessandro Pozzi, Luca Puricelli, Marco Rossoni, Elena Spadoni, Marina Carulli, Monica Bordegoni, Giorgio Colombo
IDETC-CIE 2022; V002T02A056https://doi.org/10.1115/DETC2022-88794
Topics:
Robots
,
Testing
,
Virtual reality
,
Algorithms
,
Bridges (Structures)
,
Cutting
,
Kinematics
,
Robotics
,
Simulation
,
Trajectories (Physics)
Functional Module Identification in Product Digital Twins: A Preliminary Study
IDETC-CIE 2022; V002T02A057https://doi.org/10.1115/DETC2022-91300
Topics:
Digital twin
,
Modeling
SEIKM Special Session: Mission Engineering
Multi-Mission Engineering With Zero Trust: A Modeling Methodology and Application to Contested Offshore Wind Farms
IDETC-CIE 2022; V002T02A058https://doi.org/10.1115/DETC2022-90067
Topics:
Modeling
,
Ocean engineering
,
Wind farms
,
Decision making
,
Silicon-on-sapphire
,
Economics
,
Machine learning
,
Defense industry
,
Maintenance
,
Risk
SEIKM: Design Informatics
Review of Human-Machine Interaction Towards Industry 5.0: Human-Centric Smart Manufacturing
IDETC-CIE 2022; V002T02A060https://doi.org/10.1115/DETC2022-89711
Topics:
Machinery
,
Manufacturing
An Innovative Method for Lightweight Design Based on FBS and Conflict Resolution
IDETC-CIE 2022; V002T02A061https://doi.org/10.1115/DETC2022-89993
Topics:
Design
,
Resolution (Optics)
A Data-Driven Design Approach for Carbon Emission Prediction of Machining
IDETC-CIE 2022; V002T02A062https://doi.org/10.1115/DETC2022-90465
Topics:
Carbon
,
Data-driven design
,
Emissions
,
Machining
,
Design
,
Errors
,
Manufacturing industry
,
Artificial neural networks
,
Computer-aided design
,
Data collection
SEIKM: Knowledge, Capture, Reuse, and Management
SMART Standards: Modularization Approach for Engineering Standards
IDETC-CIE 2022; V002T02A065https://doi.org/10.1115/DETC2022-88206
Topics:
Engineering standards
,
Product development
,
Expert systems
,
Modeling
,
Semantics
Semantic Search With Sentence-BERT for Design Information Retrieval
IDETC-CIE 2022; V002T02A066https://doi.org/10.1115/DETC2022-89557
Topics:
Design
,
Information retrieval
,
Semantics
,
NASA
,
Natural language processing
,
Knowledge management
,
Architecture
Design and Research of Intelligent QA System for Flight Crew Operating Manual
IDETC-CIE 2022; V002T02A068https://doi.org/10.1115/DETC2022-90768
Topics:
Design
,
Flight
,
Aviation
,
Natural language processing
,
Nonlinear programming
,
Pressure
SEIKM: Smart Manufacturing Informatics
Anomaly Detection of Laser Powder Bed Fusion Melt Pool Images Using Combined Unsupervised and Supervised Learning Methods
Matthew M. Sato, Vivian Wen Hui Wong, Kincho H. Law, Ho Yeung, Zhuo Yang, Brandon Lane, Paul Witherell
IDETC-CIE 2022; V002T02A070https://doi.org/10.1115/DETC2022-88313
Topics:
Additive manufacturing
,
Artificial neural networks
,
Lasers
,
Algorithms
,
Machine learning
,
Machinery
,
Manufacturing
,
Metals
,
Process control
,
Shapes
Knowledge and Data-Based Design and Dimensioning of Mechanical Joining Connections
IDETC-CIE 2022; V002T02A071https://doi.org/10.1115/DETC2022-89172
Topics:
Design
,
Dimensions
,
Joining
,
Manufacturing
,
Blanks
,
Emissions
,
Energy efficiency
,
Engineers
,
Product design
,
Reliability
A Material Removal State Prediction Method Based on Multi-Scale Attention Mechanism
IDETC-CIE 2022; V002T02A073https://doi.org/10.1115/DETC2022-90919
Topics:
Artificial neural networks
,
Belts
,
Displacement
,
Errors
,
Excitation
,
Feature extraction
,
Grinding
,
Machining
,
Wear
In-Process Data Integration for Laser Powder Bed Fusion Additive Manufacturing
IDETC-CIE 2022; V002T02A074https://doi.org/10.1115/DETC2022-91034
Topics:
Additive manufacturing
,
Data fusion
,
Lasers
,
Real-time control
,
Computer-aided design
,
Economics
,
Manufacturing
,
Sensors
Classification of Surface Defects on Galvanized Cold-Rolled Steel Sheets Using Data-Driven Fault Model With Attention Mechanism
IDETC-CIE 2022; V002T02A075https://doi.org/10.1115/DETC2022-91218
Topics:
Steel sheet
,
Assembly lines
,
Galvanized steel
,
Inspection
,
Metal stamping
,
Quality control
,
Steel
SEIKM: Systems Engineering and Complex Systems
A Comparison of Graph-Theoretic Approaches for Resilient System of Systems Design
IDETC-CIE 2022; V002T02A076https://doi.org/10.1115/DETC2022-89939
Topics:
Design
,
Resilience
,
Silicon-on-sapphire
Toward Generating System Architecture and Formal Functional Description in the Architecture Analysis & Design Language (AADL) With Structured Natural Language
IDETC-CIE 2022; V002T02A077https://doi.org/10.1115/DETC2022-90002
Topics:
Design
,
System architecture
,
Aerospace industry
,
Computation
,
Errors
,
Formal methods
,
Modeling
,
Natural language processing
A Study on Hexapod Gait Adaptation by Enumerative Encoding and Particle Swarm Optimization
IDETC-CIE 2022; V002T02A078https://doi.org/10.1115/DETC2022-90305
Topics:
Encryption
,
Particle swarm optimization
,
Actuators
,
Failure
,
Optimization
,
Particulate matter
,
Physics
,
Robotics
,
Simulation
A Synthetic Tradespace Model for Tradespace Analysis and Exploration
Cameron J. Turner, Nafiseh Masoudi, Hannah Stewart, Julia Daniels, David Gorsich, Denise Rizzo, Greg Hartman, Rachel Agusti, Annette Skowronska, Matt Castanier, Stephen H. Rapp
IDETC-CIE 2022; V002T02A080https://doi.org/10.1115/DETC2022-91080
Topics:
Army
,
Automotive design
,
Decision making
,
Design
,
Tradeoffs
,
Vehicles
Tradespace Organizational Practices: A Case Study
Julia Daniels, John R. Wagner, Cameron J. Turner, David Gorsich, Denise Rizzo, Greg Hartman, Rachel Agusti, Annette Skowronska, Matt Castanier, Stephen H. Rapp
IDETC-CIE 2022; V002T02A081https://doi.org/10.1115/DETC2022-91091
Topics:
Decision making
,
Design
,
Engineering prototypes
,
Innovation
,
Risk
,
Vehicles
VES Video Presentation Exhibit: Visualization and Virtual Demonstration of Prototypes and Simulations
VES: Technologies for VR, AR, and MR (Methods, Processes, and Applications)
A Predictive Approach to Geometry Preparation for AR/VR Applications
IDETC-CIE 2022; V002T02A083https://doi.org/10.1115/DETC2022-88321
Topics:
Geometry
,
Optimization
,
Product development
,
Virtual reality
Virtual Reality for Delivering Swimming Practice Through Water-Free Immersive Training System
IDETC-CIE 2022; V002T02A086https://doi.org/10.1115/DETC2022-90553
Topics:
Feedback
,
Virtual reality
,
Water
Human-Centric Facility Layout and Production Planning in Mixed Reality
IDETC-CIE 2022; V002T02A087https://doi.org/10.1115/DETC2022-90962
Topics:
Augmented reality
,
Plant layout
,
Production planning
,
Simulation
Exploring the Perceived Complexity of 3d Shapes: Towards a Spatial Visualization VR Application
IDETC-CIE 2022; V002T02A089https://doi.org/10.1115/DETC2022-91212
Topics:
Shapes
,
Virtual reality
,
Visualization
Designing Mindfulness Practice System Based on Biofeedback in VR Environment
IDETC-CIE 2022; V002T02A090https://doi.org/10.1115/DETC2022-91254
Topics:
Design
,
Virtual reality