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Proceedings Papers

Use of Data-Mined Customer Reviews to Inform Design Evaluation and Testing of Bassinets

William Singhose, Christopher Adams, Anjnee Rana, Dooroo Kim, Wayne Li
Proc. ASME. IDETC-CIE2023, Volume 6: 35th International Conference on Design Theory and Methodology (DTM), V006T06A022, August 20–23, 2023
Publisher: American Society of Mechanical Engineers
Paper No: DETC2023-116912
https://doi.org/10.1115/DETC2023-116912
View Paper titled, Use of Data-Mined Customer Reviews to Inform Design Evaluation and Testing of Bassinets
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Topics: Design, Product design, Testing, Deflection, Sleep, Manufacturing, Product quality, Data mining, Design methodology, Process design
Proceedings Papers

A Data-Driven Design Approach for Carbon Emission Prediction of Machining

Yuxuan Chen, Wei Yan, Hua Zhang, Ying Liu, Zhigang Jiang, Xumei Zhang
Proc. ASME. IDETC-CIE2022, Volume 2: 42nd Computers and Information in Engineering Conference (CIE), V002T02A062, August 14–17, 2022
Publisher: American Society of Mechanical Engineers
Paper No: DETC2022-90465
https://doi.org/10.1115/DETC2022-90465
View Paper titled, A Data-Driven Design Approach for Carbon Emission Prediction of Machining
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Topics: Carbon, Data-driven design, Emissions, Machining, Design, Errors, Manufacturing industry, Artificial neural networks, Computer-aided design, Data collection
Proceedings Papers

Application of Transfer Learning in Metalworking Fluid Distinction

Xiao Wei, Fabian Jochmann, Anna Lena Demmerling, Dirk Söffker
Proc. ASME. IDETC-CIE2022, Volume 2: 42nd Computers and Information in Engineering Conference (CIE), V002T02A003, August 14–17, 2022
Publisher: American Society of Mechanical Engineers
Paper No: DETC2022-89452
https://doi.org/10.1115/DETC2022-89452
View Paper titled, Application of Transfer Learning in Metalworking Fluid Distinction
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Topics: Acoustic emissions, Algorithms, Artificial neural networks, Data mining, Fluids, Metalworking, Signals, Thread, Water, Condition monitoring
Proceedings Papers

When the Going Gets Tough: Exploring Changes in the Startup Landscape Due to the Challenges of 2020

Tobias Mahan, Pratima Saravanan, Sandeep Krishnakumar, Hannah Nolte, Christopher McComb, Jessica Menold
Proc. ASME. IDETC-CIE2021, Volume 6: 33rd International Conference on Design Theory and Methodology (DTM), V006T06A035, August 17–19, 2021
Publisher: American Society of Mechanical Engineers
Paper No: DETC2021-71798
https://doi.org/10.1115/DETC2021-71798
View Paper titled, When the Going Gets Tough: Exploring Changes in the Startup Landscape Due to the Challenges of 2020
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Topics: Data mining, Engineering design processes, Feedback, Fracture toughness, Modeling, Pandemics, Principal component analysis, Product design, Product development
Proceedings Papers

A Prescription for Information Prospecting, Data Mining, and Design Refinement

William H. Wood, III, Alice M. Agogino
Proc. ASME. DETC97, Volume 3: 9th International Design Theory and Methodology Conference, V003T30A035, September 14–17, 1997
Publisher: American Society of Mechanical Engineers
Paper No: DETC97/DTM-3900
https://doi.org/10.1115/DETC97/DTM-3900
View Paper titled, A Prescription for Information Prospecting, Data Mining, and Design Refinement
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Topics: Data mining, Design, Prospecting, Conceptual design, Tradeoffs
Proceedings Papers

Using Decision Trees Supported by Data Mining to Improve Function-Based Design

Vincenzo J. Ferrero, Naser Alqseer, Melissa Tensa, Bryony DuPont
Proc. ASME. IDETC-CIE2020, Volume 11A: 46th Design Automation Conference (DAC), V11AT11A018, August 17–19, 2020
Publisher: American Society of Mechanical Engineers
Paper No: DETC2020-22498
https://doi.org/10.1115/DETC2020-22498
View Paper titled, Using Decision Trees Supported by Data Mining to Improve Function-Based Design
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Topics: Data mining, Design, Algorithms, Modeling
Proceedings Papers

Optimizing an Algorithm for Data Mining a Design Repository to Automate Functional Modeling

Alex Mikes, Katherine Edmonds, Robert B. Stone, Bryony DuPont
Proc. ASME. IDETC-CIE2020, Volume 11A: 46th Design Automation Conference (DAC), V11AT11A014, August 17–19, 2020
Publisher: American Society of Mechanical Engineers
Paper No: DETC2020-22346
https://doi.org/10.1115/DETC2020-22346
View Paper titled, Optimizing an Algorithm for Data Mining a Design Repository to Automate Functional Modeling
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Topics: Algorithms, Data mining, Design, Modeling, Flow (Dynamics)
Proceedings Papers

Data Mining From Endmill Tool Catalog Information Based on the Use of a Machine Learning Method

Akihito Asakura, Toshiki Hirogaki, Eiichi Aoyama, Hiroyuki Kodama
Proc. ASME. IDETC-CIE2020, Volume 9: 40th Computers and Information in Engineering Conference (CIE), V009T09A038, August 17–19, 2020
Publisher: American Society of Mechanical Engineers
Paper No: DETC2020-22126
https://doi.org/10.1115/DETC2020-22126
View Paper titled, Data Mining From Endmill Tool Catalog Information Based on the Use of a Machine Learning Method
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Topics: Data mining, Machine learning
Proceedings Papers

Data Driven Model Identification for a Chaotic Pendulum With Variable Interaction Potential

Melih C. Yesilli, Firas A. Khasawneh
Proc. ASME. IDETC-CIE2020, Volume 2: 16th International Conference on Multibody Systems, Nonlinear Dynamics, and Control (MSNDC), V002T02A011, August 17–19, 2020
Publisher: American Society of Mechanical Engineers
Paper No: DETC2020-22597
https://doi.org/10.1115/DETC2020-22597
View Paper titled, Data Driven Model Identification for a Chaotic Pendulum With Variable Interaction Potential
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Topics: Pendulums, Computer simulation, Data mining, Design, Nonlinear dynamics, Simulation results, Time series
Proceedings Papers

An Association Rule Approach for Identifying Physical System-User Interactions and Potential Human Errors Using a Design Repository

Nicolás F. Soria Zurita, Melissa Anne Tensa, Vincenzo Ferrero, Robert B. Stone, Bryony DuPont, H. Onan Demirel, Irem Y. Tumer
Proc. ASME. IDETC-CIE2019, Volume 7: 31st International Conference on Design Theory and Methodology, V007T06A003, August 18–21, 2019
Publisher: American Society of Mechanical Engineers
Paper No: DETC2019-98424
https://doi.org/10.1115/DETC2019-98424
View Paper titled, An Association Rule Approach for Identifying Physical System-User Interactions and Potential Human Errors Using a Design Repository
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Topics: Design, Errors, Flow (Dynamics), Data mining, Engineering prototypes, Failure mechanisms, Design engineering, Design methodology, Human factors, Safety
Proceedings Papers

Research on an Intelligent Diagnostic Equipment Suitable for Rail Traffic Braking System

Changzheng Fang, Jing Yang, Quan Liu, Furen Feng, Jianyong Zuo
Proc. ASME. IDETC-CIE2019, Volume 9: 15th IEEE/ASME International Conference on Mechatronic and Embedded Systems and Applications, V009T12A032, August 18–21, 2019
Publisher: American Society of Mechanical Engineers
Paper No: DETC2019-97600
https://doi.org/10.1115/DETC2019-97600
View Paper titled, Research on an Intelligent Diagnostic Equipment Suitable for Rail Traffic Braking System
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Topics: Brakes, Braking, China, Data mining, Design, Rail transportation, Rails, Safety, Subways, Traffic
Proceedings Papers

Reliability Analysis Using Deep Learning

Chong Chen, Ying Liu, Xianfang Sun, Shixuan Wang, Carla Di Cairano-Gilfedder, Scott Titmus, Aris A. Syntetos
Proc. ASME. IDETC-CIE2018, Volume 1B: 38th Computers and Information in Engineering Conference, V01BT02A040, August 26–29, 2018
Publisher: American Society of Mechanical Engineers
Paper No: DETC2018-86172
https://doi.org/10.1115/DETC2018-86172
View Paper titled, Reliability Analysis Using Deep Learning
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Topics: Event history analysis, Failure, Maintenance, Automobiles, Data mining, Design, Stress
Proceedings Papers

Analysis of Drilling Process Knowledge Derived From Microdrill Catalog Database Using Data-Mining Method

Shogo Tabata, Eiichi Aoyama, Toshiki Hirogaki, Hiroyuki Kodama
Proc. ASME. IDETC-CIE2017, Volume 1: 37th Computers and Information in Engineering Conference, V001T02A076, August 6–9, 2017
Publisher: American Society of Mechanical Engineers
Paper No: DETC2017-67680
https://doi.org/10.1115/DETC2017-67680
View Paper titled, Analysis of Drilling Process Knowledge Derived From Microdrill Catalog Database Using Data-Mining Method
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Topics: Data mining, Databases, Drilling, Drills (Tools), Printed circuit boards, Alloy steel, Cutting, Density
Proceedings Papers

Automated Graph Grammar Generation for Engineering Design With Frequent Pattern Mining

Shraddha Sangelkar, Daniel A. McAdams
Proc. ASME. IDETC-CIE2017, Volume 2A: 43rd Design Automation Conference, V02AT03A006, August 6–9, 2017
Publisher: American Society of Mechanical Engineers
Paper No: DETC2017-67520
https://doi.org/10.1115/DETC2017-67520
View Paper titled, Automated Graph Grammar Generation for Engineering Design With Frequent Pattern Mining
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Topics: Data mining, Design, Engineering design, Machinery, Mining, Principal component analysis, Testing
Proceedings Papers

Concept Drift and Evolution Detection in Fusion Diagnosis With Evolving Data Streams

Amirmahyar Abdolsamadi, Pingfeng Wang
Proc. ASME. IDETC-CIE2017, Volume 2A: 43rd Design Automation Conference, V02AT03A046, August 6–9, 2017
Publisher: American Society of Mechanical Engineers
Paper No: DETC2017-68373
https://doi.org/10.1115/DETC2017-68373
View Paper titled, Concept Drift and Evolution Detection in Fusion Diagnosis With Evolving Data Streams
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Topics: Data mining, Engineering systems and industry applications, Flow (Dynamics), Sensors
Proceedings Papers

A Network-Based Computational Model for Creative Knowledge Discovery Bridging Human-Computer Interaction and Data Mining

Liuqing Chen, Feng Shi, Ji Han, Peter R. N. Childs
Proc. ASME. IDETC-CIE2017, Volume 7: 29th International Conference on Design Theory and Methodology, V007T06A001, August 6–9, 2017
Publisher: American Society of Mechanical Engineers
Paper No: DETC2017-67228
https://doi.org/10.1115/DETC2017-67228
View Paper titled, A Network-Based Computational Model for Creative Knowledge Discovery Bridging Human-Computer Interaction and Data Mining
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Topics: Computers, Data mining, Creativity, Algorithms, Databases, Evaluation methods, Mining
Proceedings Papers

Mining for Creativity: Determining the Creativity of Ideas Through Data Mining Techniques

Christine A. Toh, Elizabeth M. Starkey, Conrad S. Tucker, Scarlett R. Miller
Proc. ASME. IDETC-CIE2017, Volume 7: 29th International Conference on Design Theory and Methodology, V007T06A010, August 6–9, 2017
Publisher: American Society of Mechanical Engineers
Paper No: DETC2017-68304
https://doi.org/10.1115/DETC2017-68304
View Paper titled, Mining for Creativity: Determining the Creativity of Ideas Through Data Mining Techniques
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Topics: Creativity, Data mining, Mining, Design, Machine learning, Reliability, Evaluation methods, Testing
Proceedings Papers

Linking Creativity Measurements to Product Market Favorability: A Data-Mining Approach

Christian E. Lopez B., Xuan Zheng, Scarlett R. Miller
Proc. ASME. IDETC-CIE2017, Volume 2A: 43rd Design Automation Conference, V02AT03A013, August 6–9, 2017
Publisher: American Society of Mechanical Engineers
Paper No: DETC2017-67622
https://doi.org/10.1115/DETC2017-67622
View Paper titled, Linking Creativity Measurements to Product Market Favorability: A Data-Mining Approach
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Topics: Creativity, Data mining, Design, Uncertainty, Bridges (Structures)
Proceedings Papers

Leveraging Logged Intermediate Design Attributes for Improved Knowledge Discovery in Engineering Design

Hyunseung Bang, Daniel Selva
Proc. ASME. IDETC-CIE2017, Volume 2A: 43rd Design Automation Conference, V02AT03A014, August 6–9, 2017
Publisher: American Society of Mechanical Engineers
Paper No: DETC2017-67835
https://doi.org/10.1115/DETC2017-67835
View Paper titled, Leveraging Logged Intermediate Design Attributes for Improved Knowledge Discovery in Engineering Design
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Topics: Design, Engineering design, Algorithms, Data mining, Databases, Optimization algorithms, Satellites, Space
Proceedings Papers

A Functional Modelling Based Methodology for Testing the Predictions of Fault Detection and Identification Systems

Nikolaos Papakonstantinou, Scott Proper, Douglas L. Van Bossuyt, Bryan O’Halloran, Irem Y. Tumer
Proc. ASME. IDETC-CIE2016, Volume 1B: 36th Computers and Information in Engineering Conference, V01BT02A015, August 21–24, 2016
Publisher: American Society of Mechanical Engineers
Paper No: DETC2016-59916
https://doi.org/10.1115/DETC2016-59916
View Paper titled, A Functional Modelling Based Methodology for Testing the Predictions of Fault Detection and Identification Systems
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Topics: Flaw detection, Modeling, Testing, Artificial intelligence, Data mining, Nuclear power stations, Safety