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In This Volume
Volume 6: Design, Systems, and Complexity
Design, Systems, and Complexity
Big Data and Artificial Intelligence in Design
Modeling Odor Optimization of Vehicles Based on Data-Driven Goal Programming
IMECE 2020; V006T06A001https://doi.org/10.1115/IMECE2020-23519
Topics:
Computer programming
,
Modeling
,
Optimization
,
Vehicles
,
Design
,
Engineers
,
Mass spectrometers
,
Organic compounds
,
Trains
Application of Random Forest Machine Learning Models to Forecast Combustion Profile Parameters of a Natural Gas Spark Ignition Engine
IMECE 2020; V006T06A003https://doi.org/10.1115/IMECE2020-23973
Topics:
Combustion
,
Machine learning
,
Natural gas
,
Spark-ignition engine
,
Engines
,
Algorithms
,
Cylinders
,
Dynamometers
,
Engineering simulation
,
Errors
Development of a Mobile Platform for Wheat Phenotyping
IMECE 2020; V006T06A004https://doi.org/10.1115/IMECE2020-24329
Topics:
Computer software
,
Data collection
,
Design
,
Hardware
,
Mechatronic devices
,
Sensors
,
Temperature
CAD, CAE, and CAM
Automation CAE Toolkit Method for Ram BOP Design
IMECE 2020; V006T06A005https://doi.org/10.1115/IMECE2020-23769
Topics:
Computer-aided engineering
,
Design
,
Die cutting
,
Pipes
,
Simulation
An Investigation on the Design of Formate and Generate Face Milled Hypoid Gears
IMECE 2020; V006T06A006https://doi.org/10.1115/IMECE2020-23972
Topics:
Design
,
Spiral bevel gears
Ontologies As a Tool for Design and Material Engineers
IMECE 2020; V006T06A007https://doi.org/10.1115/IMECE2020-24042
Generative Design and Topology Optimization of Disk Brake Floating Carrier
IMECE 2020; V006T06A008https://doi.org/10.1115/IMECE2020-24051
Topics:
Brakes
,
Design
,
Disks
,
Optimization
,
Topology
,
Shapes
,
Stiffness
,
Computation
,
Computer software
,
Computer-aided engineering
Design of Robotic Manipulator to Hollow Out Zucchini
IMECE 2020; V006T06A009https://doi.org/10.1115/IMECE2020-24389
Topics:
Design
,
Food products
,
Kinematic analysis
,
Manipulators
,
Mechanical admittance
,
Packaging
,
Robotics
,
Robots
,
Screws
,
Theorems (Mathematics)
Numerical Analysis of Machining Part Distortion in Aircraft Aluminum Structures
IMECE 2020; V006T06A011https://doi.org/10.1115/IMECE2020-24561
Topics:
Aircraft
,
Aluminum
,
Machining
,
Numerical analysis
,
Residual stresses
,
Algorithms
,
Errors
,
Finite element analysis
,
Raw materials
,
Aerospace industry
Generating Pseudo-Data to Enhance the Performance of Classification-Based Engineering Design: A Preliminary Investigation
IMECE 2020; V006T06A012https://doi.org/10.1115/IMECE2020-24634
Topics:
Engineering design
,
Design
,
Machine learning
,
Engineering simulation
,
Simulation
,
Decision making
,
Errors
,
Finite element analysis
,
Uncertainty
,
Vehicles
Design for Additive Manufacturing
Algorithm-Based Support for the Redesign of Product Variants
IMECE 2020; V006T06A014https://doi.org/10.1115/IMECE2020-23794
Topics:
Algorithms
,
Machining
,
Manufacturing
,
Mass production
,
Shapes
Evaluation of Metal Lattice Structures With X-Ray Micro-Computed Tomography: Dimensional Accuracy and Manufacturability
IMECE 2020; V006T06A015https://doi.org/10.1115/IMECE2020-23869
Topics:
Additive manufacturing
,
Design
,
Lasers
,
Metals
,
X-rays
,
Computer software
,
Density
,
Computer-aided design
,
Computerized tomography
,
Geometry
Design for Sustainability
Design of Human Robot Collaboration
Design an Augmentation Exoskeleton to Enhance Lifting Strength
IMECE 2020; V006T06A022https://doi.org/10.1115/IMECE2020-24658
Topics:
Design
,
Electromyography
,
Exoskeleton devices
,
Sensors
Human Modelling for Product Design and Manufacturing
A Novel Training Bike and Camera System to Evaluate Pose of Cyclists
IMECE 2020; V006T06A024https://doi.org/10.1115/IMECE2020-24069
Topics:
Bicycles
,
Sensors
,
Rotation
,
Aerodynamics
,
Drag (Fluid dynamics)
,
Errors
,
Knee
,
Regression analysis
,
Testing
Low Cost Markerless Motion Capture Systems: A Comparison Between RGB Cameras and RGB-D Sensors
IMECE 2020; V006T06A025https://doi.org/10.1115/IMECE2020-24083
Topics:
Sensors
,
Design
,
Health care
,
Sports
Optimization
An Approach to Bayesian Optimization in Optimizing Weighted Tchebycheff Multi-Objective Black-Box Functions
IMECE 2020; V006T06A030https://doi.org/10.1115/IMECE2020-23414
Topics:
Optimization
,
Design
,
Risk
,
Calibration
,
Creep
,
Failure
,
Fatigue
,
Manufacturing
,
Pareto optimization
,
Pressure
Product and Process Design
Effects of Different Cooling Methods After Demoulding on the Cornering Fatigue Resistance of the Injection-Molded Long-Glass-Fiber Reinforced Thermoplastic Composite Wheel
IMECE 2020; V006T06A033https://doi.org/10.1115/IMECE2020-23341
Topics:
Cooling
,
Fatigue
,
Fibers
,
Glass
,
Thermoplastic composites
,
Wheels
,
Composite materials
,
Fatigue testing
,
Vehicles
,
Cycles
Powdered Metal Heat Treatment Apparatus Designed for a Laboratory
IMECE 2020; V006T06A034https://doi.org/10.1115/IMECE2020-23376
Topics:
Design
,
Heat treating (Metalworking)
,
Metal powders
,
Containment
,
Machinery
,
Manufacturing
,
Additive manufacturing
,
Flow (Dynamics)
,
Furnaces
,
Heat
Modeling and Design Optimization of Robotic Hoses for 3D Printing of Cement
IMECE 2020; V006T06A038https://doi.org/10.1115/IMECE2020-23829
Topics:
Additive manufacturing
,
Cements (Adhesives)
,
Design
,
Modeling
,
Optimization
,
Robotics
,
Tendons
,
Robots
,
Gravity (Force)
,
Motors
Influence of Complexity, Innovation, Newness and Learning on Project Success in New Development Projects: A Study in Manufacturing Industry
IMECE 2020; V006T06A039https://doi.org/10.1115/IMECE2020-24022
Topics:
Innovation
,
Manufacturing industry
,
Product development
,
Performance
,
Dynamics (Mechanics)
,
Manufacturing
,
Project management
,
Stress
,
Teams
Conceptual Design of an In-Pipe Displacement System Applicable for Oil Well Production Column
Saulo Queiroz Figliuolo, Valter Estevão Beal, Luis Alberto Breda Mascarenhas, Juan Carlos Romero Albino, Hugo Francisco Lisboa Santos
IMECE 2020; V006T06A041https://doi.org/10.1115/IMECE2020-24628
Topics:
Conceptual design
,
Displacement
,
Oil wells
,
Pipes
,
Product development
,
Design
,
Maintenance
,
Robotics
,
Teams
,
Energy consumption
Social Context Aware Design
Development of a Low-Cost Sensor Network for Community-Made Measurements of Air Pollution
Sebastian Sandoval Campos, Fabián A. Ballesteros Higuera, Sebastián Roa Prada, Claudia I. Cáceres Becerra, Alfredo A. Díaz Claro
IMECE 2020; V006T06A043https://doi.org/10.1115/IMECE2020-23994
Topics:
Air pollution
,
Pollution
,
Sensor networks
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