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Issues
February 2019
ISSN 1050-0472
EISSN 1528-9001
Editorial
Special Issue: Selected Papers From IDETC 2018 (Parts I and II)
J. Mech. Des. February 2019, 141(2): 020201.
doi: https://doi.org/10.1115/1.4042049
Research Papers
Design Theory and Methodology
Data-Driven Platform Design: Patent Data and Function Network Analysis
J. Mech. Des. February 2019, 141(2): 021101.
doi: https://doi.org/10.1115/1.4042083
Topics:
Design
,
Network analysis
,
Patents
,
Robots
,
Algorithms
Interpreting Idea Maps: Pairwise Comparisons Reveal What Makes Ideas Novel
J. Mech. Des. February 2019, 141(2): 021102.
doi: https://doi.org/10.1115/1.4041856
Investigating User Emotional Responses to Eco-Feedback Designs
J. Mech. Des. February 2019, 141(2): 021103.
doi: https://doi.org/10.1115/1.4042007
Exploring Biases Between Human and Machine Generated Designs
J. Mech. Des. February 2019, 141(2): 021104.
doi: https://doi.org/10.1115/1.4041857
Mass Collaboration Project Recommendation Within Open-Innovation Design Networks
J. Mech. Des. February 2019, 141(2): 021105.
doi: https://doi.org/10.1115/1.4041858
Topics:
Collaboration
,
Design
,
Innovation
,
Teams
,
Competencies
Is Ownership Bias Bad? The Influence of Idea Goodness and Creativity on Design Professionals Concept Selection Practices
J. Mech. Des. February 2019, 141(2): 021106.
doi: https://doi.org/10.1115/1.4042081
Topics:
Design
,
Teams
,
Creativity
Design Automation
Reliability Analysis Using Second-Order Saddlepoint Approximation and Mixture Distributions
J. Mech. Des. February 2019, 141(2): 021401.
doi: https://doi.org/10.1115/1.4041370
Topics:
Approximation
,
Event history analysis
,
Gaussian distribution
,
Probability
,
Failure
,
Algorithms
,
Reliability
Uncertainty Analysis for Time- and Space-Dependent Responses With Random Variables
J. Mech. Des. February 2019, 141(2): 021402.
doi: https://doi.org/10.1115/1.4041429
Topics:
Failure
,
Probability
,
Reliability
,
Stochastic processes
,
Uncertainty analysis
,
Errors
Quantifying the Resilience-Informed Scenario Cost Sum: A Value-Driven Design Approach for Functional Hazard Assessment
J. Mech. Des. February 2019, 141(2): 021403.
doi: https://doi.org/10.1115/1.4041571
Topics:
Design
,
Failure
,
Resilience
,
Optimization
,
Flow (Dynamics)
,
Simulation
Design for Manufacture and the Life Cycle
Pulling at the Digital Thread: Exploring the Tolerance Stack Up Between Automatic Procedures and Expert Strategies in Scan to Print Processes
J. Mech. Des. February 2019, 141(2): 021701.
doi: https://doi.org/10.1115/1.4041927
Topics:
Errors
,
Design
,
Data acquisition
,
Manufacturing
Design of a Test Platform for the Determination of Lithium-Ion Batteries State of Health
J. Mech. Des. February 2019, 141(2): 021702.
doi: https://doi.org/10.1115/1.4041855
Understanding the Role of Additive Manufacturing Knowledge in Stimulating Design Innovation for Novice Designers
J. Mech. Des. February 2019, 141(2): 021703.
doi: https://doi.org/10.1115/1.4041928
Topics:
Additive manufacturing
,
Design
,
Innovation
Automated Design of Energy Efficient Control Strategies for Building Clusters Using Reinforcement Learning
J. Mech. Des. February 2019, 141(2): 021704.
doi: https://doi.org/10.1115/1.4041629
Topics:
Batteries
,
Storage
,
Algorithms
,
Design
Knowledge-Based Design of Artificial Neural Network Topology for Additive Manufacturing Process Modeling: A New Approach and Case Study for Fused Deposition Modeling
Hari P. N. Nagarajan, Hossein Mokhtarian, Hesam Jafarian, Saoussen Dimassi, Shahriar Bakrani-Balani, Azarakhsh Hamedi, Eric Coatanéa, G. Gary Wang, Karl R. Haapala
J. Mech. Des. February 2019, 141(2): 021705.
doi: https://doi.org/10.1115/1.4042084
Topics:
Artificial neural networks
,
Modeling
,
Topology
,
Dimensional analysis
