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Journal Articles

Data Privacy Preserving for Centralized Robotic Fault Diagnosis With Modified Dataset Distillation

Tao Wang, Yu Huang, Ying Liu, Chong Chen
Journal: Journal of Computing and Information Science in Engineering
Publisher: ASME
Article Type: Research Papers
J. Comput. Inf. Sci. Eng. October 2024, 24(10): 101005.
Paper No: JCISE-23-1601
https://doi.org/10.1115/1.4066096
Published Online: August 21, 2024
View Article titled, Data Privacy Preserving for Centralized Robotic Fault Diagnosis With Modified Dataset Distillation
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Topics: Algorithms, Convolutional neural networks, Data privacy, Fault diagnosis, Robotics, Robots, Warehouses
Journal Articles

Special Issue: Challenges and Opportunities in Computing Research to Enable Next-Generation Engineering Applications

Janet K. Allen, Ehsan Esfahani, SK Gupta, Balan Gurumoorthy, Bin He, Ying Liu, John G. Michopoulos, Jitesh H. Panchal, Anurag Purwar, Kristina Wärmefjord
Journal: Journal of Computing and Information Science in Engineering
Publisher: ASME
Article Type: Guest Editorial
J. Comput. Inf. Sci. Eng. December 2023, 23(6): 060301.
Paper No: JCISE-23-1453
https://doi.org/10.1115/1.4063437
Published Online: October 19, 2023
View Article titled, Special Issue: Challenges and Opportunities in Computing Research to Enable Next-Generation Engineering Applications
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Topics: Engineering systems and industry applications
Journal Articles

Harnessing Multi-Domain Knowledge for User-Centric Product Conceptual Design

Xin Guo, Zechuan Huang, Ying Liu, Wu Zhao, Zeyuan Yu
Journal: Journal of Computing and Information Science in Engineering
Publisher: ASME
Article Type: Review Articles
J. Comput. Inf. Sci. Eng. December 2023, 23(6): 060807.
Paper No: JCISE-23-1079
https://doi.org/10.1115/1.4062456
Published Online: May 25, 2023
View Article titled, Harnessing Multi-Domain Knowledge for User-Centric Product Conceptual Design
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Topics: Conceptual design, Design, Resolution (Optics)
Proceedings Papers

A Material Removal State Prediction Method Based on Multi-Scale Attention Mechanism

Zhihang Li, Qian Tang, Ying Liu, Xiao Li
Proc. ASME. IDETC-CIE2022, Volume 2: 42nd Computers and Information in Engineering Conference (CIE), V002T02A073, August 14–17, 2022
Publisher: American Society of Mechanical Engineers
Paper No: DETC2022-90919
https://doi.org/10.1115/DETC2022-90919
View Paper titled, A Material Removal State Prediction Method Based on Multi-Scale Attention Mechanism
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Topics: Artificial neural networks, Belts, Displacement, Errors, Excitation, Feature extraction, Grinding, Machining, Wear
Proceedings Papers

Design and Research of Intelligent QA System for Flight Crew Operating Manual

Xin Tan, Jingshu Zhong, Yu Jin, Yan Liang, Yu Zheng, Ying Liu
Proc. ASME. IDETC-CIE2022, Volume 2: 42nd Computers and Information in Engineering Conference (CIE), V002T02A068, August 14–17, 2022
Publisher: American Society of Mechanical Engineers
Paper No: DETC2022-90768
https://doi.org/10.1115/DETC2022-90768
View Paper titled, Design and Research of Intelligent QA System for Flight Crew Operating Manual
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Topics: Design, Flight, Aviation, Natural language processing, Nonlinear programming, Pressure
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

Review of Human-Machine Interaction Towards Industry 5.0: Human-Centric Smart Manufacturing

Jialu Yang, Tianyuan Liu, Ying Liu, Phillip Morgan
Proc. ASME. IDETC-CIE2022, Volume 2: 42nd Computers and Information in Engineering Conference (CIE), V002T02A060, August 14–17, 2022
Publisher: American Society of Mechanical Engineers
Paper No: DETC2022-89711
https://doi.org/10.1115/DETC2022-89711
View Paper titled, Review of Human-Machine Interaction Towards Industry 5.0: Human-Centric Smart Manufacturing
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Topics: Machinery, Manufacturing
Journal Articles

Special Section: Symbiotic Human–Artificial Intelligence Partnership for Next-Generation Factories

Ehsan T. Esfahani, Bin He, Chih-Hsing Chu, Ying Liu, Rahul Rai, Gaurav Ameta
Journal: Journal of Computing and Information Science in Engineering
Publisher: ASME
Article Type: Guest Editorial
J. Comput. Inf. Sci. Eng. October 2022, 22(5): 050301.
Paper No: JCISE-22-1165
https://doi.org/10.1115/1.4054673
Published Online: June 27, 2022
View Article titled, Special Section: Symbiotic Human–Artificial Intelligence Partnership for Next-Generation Factories
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Topics: Artificial intelligence, Machinery
Journal Articles

A Data-Driven Approach for Integrating Hedonic Quality and Pragmatic Quality in User Experience Modeling

Yanzhang Tong, Yan Liang, Irena Spasic, Yulia Hicks, Huicong Hu, Ying Liu
Journal: Journal of Computing and Information Science in Engineering
Publisher: ASME
Article Type: Research Papers
J. Comput. Inf. Sci. Eng. December 2022, 22(6): 061002.
Paper No: JCISE-21-1387
https://doi.org/10.1115/1.4054155
Published Online: May 10, 2022
View Article titled, A Data-Driven Approach for Integrating Hedonic Quality and Pragmatic Quality in User Experience Modeling
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Topics: Modeling, Product design, Design
Journal Articles

Prediction of Remaining Useful Life Using Fused Deep Learning Models: A Case Study of Turbofan Engines

Yu Zheng, Xiangyu Bao, Fei Zhao, Chong Chen, Ying Liu, Bo Sun, Haotong Wang
Journal: Journal of Computing and Information Science in Engineering
Publisher: ASME
Article Type: Technical Briefs
J. Comput. Inf. Sci. Eng. October 2022, 22(5): 054501.
Paper No: JCISE-21-1296
https://doi.org/10.1115/1.4054090
Published Online: March 31, 2022
View Article titled, Prediction of Remaining Useful Life Using Fused Deep Learning Models: A Case Study of Turbofan Engines
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Topics: Engines, Service life (Equipment), Turbofans, Feature extraction, Machine learning
Journal Articles

A Knowledge-Based Approach Toward Representation and Archiving of Aesthetic Information for Product Conceptual Design

Huicong Hu, Ying Liu, Wen Feng Lu, Xin Guo
Journal: Journal of Computing and Information Science in Engineering
Publisher: ASME
Article Type: Research Papers
J. Comput. Inf. Sci. Eng. August 2022, 22(4): 041011.
Paper No: JCISE-21-1401
https://doi.org/10.1115/1.4053674
Published Online: March 4, 2022
View Article titled, A Knowledge-Based Approach Toward Representation and Archiving of Aesthetic Information for Product Conceptual Design
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Topics: Conceptual design, Design
Journal Articles

Prediction of Mechanical Properties of Three-Dimensional Printed Lattice Structures Through Machine Learning

Shuai Ma, Qian Tang, Ying Liu, Qixiang Feng
Journal: Journal of Computing and Information Science in Engineering
Publisher: ASME
Article Type: Research Papers
J. Comput. Inf. Sci. Eng. June 2022, 22(3): 031008.
Paper No: JCISE-21-1252
https://doi.org/10.1115/1.4053077
Published Online: December 16, 2021
View Article titled, Prediction of Mechanical Properties of Three-Dimensional Printed Lattice Structures Through Machine Learning
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Topics: Elastic moduli, Errors, Machine learning, Mechanical properties, Three-dimensional models, Entropy, Yield strength, Design, Porosity
Proceedings Papers

Predicting Mechanical Properties of 3D Printed Lattice Structures

Shuai Ma, Qian Tang, Ying Liu, Qixiang Feng
Proc. ASME. IDETC-CIE2021, Volume 2: 41st Computers and Information in Engineering Conference (CIE), V002T02A053, August 17–19, 2021
Publisher: American Society of Mechanical Engineers
Paper No: DETC2021-70249
https://doi.org/10.1115/DETC2021-70249
View Paper titled, Predicting Mechanical Properties of 3D Printed Lattice Structures
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Topics: Additive manufacturing, Machine learning, Mechanical properties
Proceedings Papers

Integrating Hedonic Quality for User Experience Modelling

Yanzhang Tong, Yan Liang, Ying Liu, Yulia Hicks, Irena Spasic
Proc. ASME. IDETC-CIE2021, Volume 2: 41st Computers and Information in Engineering Conference (CIE), V002T02A052, August 17–19, 2021
Publisher: American Society of Mechanical Engineers
Paper No: DETC2021-69781
https://doi.org/10.1115/DETC2021-69781
View Paper titled, Integrating Hedonic Quality for User Experience Modelling
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Topics: Design, Modeling, Product design, Data collection, Q-factor, Reflection
Proceedings Papers

Experimental Study of EPS Decomposition in Lost Foam Casting Process

Ying Liu, Sayavur I. Bakhtiyarov, Ruel A. Overfelt
Proc. ASME. IMECE2001, Rheology and Fluid Mechanics of Nonlinear Materials, 79-84, November 11–16, 2001
Publisher: American Society of Mechanical Engineers
Paper No: IMECE2001/FED-24911
https://doi.org/10.1115/IMECE2001/FED-24911
View Paper titled, Experimental Study of EPS Decomposition in Lost Foam Casting Process
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Topics: Casting, Differential scanning calorimetry, Heat, Heating, Pressure, Temperature
Proceedings Papers

Decomposed EPS Gases Pressure Measurements in Iron Lost Foam Casting Process

Ying Liu, Sayavur I. Bakhtiyarov, Ruel A. Overfelt
Proc. ASME. IMECE2001, Rheology and Fluid Mechanics of Nonlinear Materials, 71-78, November 11–16, 2001
Publisher: American Society of Mechanical Engineers
Paper No: IMECE2001/FED-24910
https://doi.org/10.1115/IMECE2001/FED-24910
View Paper titled, Decomposed EPS Gases Pressure Measurements in Iron Lost Foam Casting Process
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Topics: Casting, Gases, Iron, Pressure measurement, Pressure, Temperature, Computer-aided engineering, Fluctuations (Physics), Freezing, Liquid metals
Proceedings Papers

S-CIMS: Towards Integrated and Environmentally Conscious Manufacturing Systems

Genbao Zhang, Ying Liu, Wei Tan, Zhongquan Huang
Proc. ASME. IDETC-CIE2001, Volume 1: 21st Computers and Information in Engineering Conference, 73-81, September 9–12, 2001
Publisher: American Society of Mechanical Engineers
Paper No: DETC2001/CIE-21232
https://doi.org/10.1115/DETC2001/CIE-21232
View Paper titled, S-CIMS: Towards Integrated and Environmentally Conscious Manufacturing Systems
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Topics: Computer-integrated manufacturing, Flow (Dynamics), Life cycle management, Manufacturing, Manufacturing systems, Sustainability, Sustainable development
Journal Articles

Effect of Cu on the Tribocorrosion Behavior of Antibacterial CoCrMo Alloys in Simulated Biological Environment

Xuefeng Song, Ying Liu, Xiaoyan Wang, Erlin Zhang
Journal: Journal of Tribology
Publisher: ASME
Article Type: Technical Briefs
J. Tribol. July 2021, 143(7): 074501.
Paper No: TRIB-20-1172
https://doi.org/10.1115/1.4048726
Published Online: November 5, 2020
View Article titled, Effect of Cu on the Tribocorrosion Behavior of Antibacterial CoCrMo Alloys in Simulated Biological Environment
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Topics: Alloys, Corrosion, Wear, Copper
Includes: Supplementary data
Journal Articles

An Assessment of Quantitative Predictions of Deterministic Mixed Lubrication Solvers

Yuechang Wang, Abdel Dorgham, Ying Liu, Chun Wang, Mark C. T. Wilson, Anne Neville, Abdullah Azam
Journal: Journal of Tribology
Publisher: ASME
Article Type: Research Papers
J. Tribol. January 2021, 143(1): 011601.
Paper No: TRIB-20-1109
https://doi.org/10.1115/1.4047586
Published Online: July 28, 2020
View Article titled, An Assessment of Quantitative Predictions of Deterministic Mixed Lubrication Solvers
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Topics: Density, Film thickness, Lubrication, Pressure, Simulation, Surface roughness, Computation, Flow (Dynamics), Computer simulation
Includes: Supplementary data
Journal Articles

Special Issue: Machine Learning Applications in Manufacturing

Ying Liu, Rahul Rai, Anurag Purwar, Bin He, Mahesh Mani
Journal: Journal of Computing and Information Science in Engineering
Publisher: ASME
Article Type: Guest Editorial
J. Comput. Inf. Sci. Eng. April 2020, 20(2): 020301.
Paper No: JCISE-20-1041
https://doi.org/10.1115/1.4046427
Published Online: March 3, 2020
View Article titled, Special Issue: Machine Learning Applications in Manufacturing
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Topics: Machine learning, Manufacturing, Artificial neural networks