Now showing items 341-360 of 1535

    • Bi-LSTM-Based Dynamic Prediction Model for Pulling Speed of Czochralski Single-Crystal Furnace 

      Feng, Zhengyuan; Hu, Xiaoliang; Tian, Zengguo; Jiang, Baozhu; Zhang, Hongshuai; Zhang, Wanli (The American Society of Mechanical Engineers (ASME), 1/17/2023 )
      With the rapid development of microelectronics science and technology, the quality of IC-grade silicon single crystal directly affects the yield and stability of the performance of semiconductor device production. As the ...
    • Partitioned Active Learning for Heterogeneous Systems 

      Lee, Cheolhei; Wang, Kaiwen; Wu, Jianguo; Cai, Wenjun; Yue, Xiaowei (The American Society of Mechanical Engineers (ASME), 1/10/2023 )
      Active learning is a subfield of machine learning that focuses on improving the data collection efficiency in expensive-to-evaluate systems. Active learning-applied surrogate modeling facilitates cost-efficient analysis ...
    • Teeth Mold Point Cloud Completion Via Data Augmentation and Hybrid RL-GAN 

      Toscano, Juan Diego; Zuniga-Navarrete, Christian; Siu, Wilson David Jo; Segura, Luis Javier; Sun, Hongyue (The American Society of Mechanical Engineers (ASME), 1/10/2023 )
      Teeth scans are essential for many applications in orthodontics, where the teeth structures are virtualized to facilitate the design and fabrication of the prosthetic piece. Nevertheless, due to the limitations caused by ...
    • Long-Range Risk-Aware Path Planning for Autonomous Ships in Complex and Dynamic Environments 

      Hu, Chuanhui; Jin, Yan (The American Society of Mechanical Engineers (ASME), 1/9/2023 1)
      Path planning and collision avoidance are common problems for researchers in vehicle and robotics engineering design. In the case of autonomous ships, the navigation is guided by the regulations for preventing collisions ...
    • Hybrid Multi-Scale Convolutional Long Short-Term Memory Network for Remaining Useful Life Prediction and Offset Analysis 

      Sharma, Vedant; Sharma, Deepak; Anand, Ashish (The American Society of Mechanical Engineers (ASME), 1/9/2023 1)
      Prognostic and health management (PHM) has become increasingly popular due to the requirement of improved maintenance techniques in the industry. Remaining useful life (RUL) estimation is an important parameter through ...
    • Internal Leakage Detection in Hydraulic Pump Using Model-Agnostic Feature Ranking and Ensemble Classifiers 

      Prakash, Jatin; Miglani, Ankur; Kankar, P. K. (The American Society of Mechanical Engineers (ASME), 1/9/2023 1)
      Hydraulic pumps are key drivers of fluid power-based machines and demand high reliability during operation. Internal leakage is a key performance deteriorating fault that reduces pump’s efficiency and limits its predictability ...
    • Generative Transformers for Design Concept Generation 

      Zhu, Qihao; Luo, Jianxi (The American Society of Mechanical Engineers (ASME), 1/9/2023 1)
      Generating novel and useful concepts is essential during the early design stage to explore a large variety of design opportunities, which usually requires advanced design thinking ability and a wide range of knowledge from ...
    • Cost-Minimizing Hexahedral Mesh Refinement by Sheet Inflation 

      Shen, Chun; Wang, Rui; Gao, Shuming; Wu, Haiyan (The American Society of Mechanical Engineers (ASME), 12/27/2022)
      In this paper, a novel hexahedral refinement method is introduced which finds the optimal tradeoff between the number of inserted elements and inserted singularities according to user-prescribed weighting. The input of our ...
    • Intelligent Detection and Classification of Surface Defects on Cold-Rolled Galvanized Steel Strips Using a Data-Driven Faulty Model With Attention Mechanism 

      Chen, Hao; Nie, Zhenguo; Xu, Qingfeng; Fei, Jianghua; Yang, Kang; Li, Yaguan; Lin, Hongbin; Fan, Wenhui; Liu, Xin-Jun (The American Society of Mechanical Engineers (ASME), 12/27/2022)
      In the production of cold-rolled galvanized steel strips used for stamping car body parts, the in-situ and real-time defect detection is crucial for quality control, in which various types of defects inevitably occur. It ...
    • A New Multi-Objective Genetic Algorithm for Assembly Line Balancing 

      Li, S.; Butterfield, J.; Murphy, A. (The American Society of Mechanical Engineers (ASME), 12/12/2022)
      The aim of this work is to enable a step towards a self-adapting digital toolset for manufacturing planning focusing on minimally constrained assembly line balancing. The approach includes the simultaneous definition of ...
    • A Bayesian Hierarchical Model for Extracting Individuals’ Theory-Based Causal Knowledge 

      Hans, Atharva; Chaudhari, Ashish M.; Bilionis, Ilias; Panchal, Jitesh H. (The American Society of Mechanical Engineers (ASME), 12/12/2022)
      Extracting an individual’s scientific knowledge is essential for improving educational assessment and understanding cognitive tasks in engineering activities such as reasoning and decision-making. However, knowledge ...
    • Data-Driven Sensor Selection for Signal Estimation of Vertical Wheel Forces in Vehicles 

      Zheng, Xueke; Wang, Ying; Wang, Le; Cai, Runze; Li, Mian; Qiu, Yu (The American Society of Mechanical Engineers (ASME), 12/9/2022 )
      Sensor selection is one of the key factors that dictate the performance of estimating vertical wheel forces in vehicle durability design. To select K most relevant sensors among S candidate ones that best fit the response ...
    • An Efficient Iso-Scallop Toolpath Planning Strategy Using Voxel-Based Computer Aided Design Model 

      Kukreja, Aman; Pande, S. S. (The American Society of Mechanical Engineers (ASME), 12/9/2022 )
      The primary objective of an efficient computer numerical control (CNC) finishing toolpath strategy is to reduce the machining time and maintain desired surface finish (scallop). Among traditional toolpath planning strategies, ...
    • A Comparison of Graph-Theoretic Approaches for Resilient System of Systems Design 

      Chatterjee, Abheek; Helbig, Cade; Malak, Richard; Layton, Astrid (The American Society of Mechanical Engineers (ASME), 4/19/2023 )
      System of systems (SoS) are networked integration of constituent systems that together achieve new capabilities not possible through the operation of any single system. SoS can be found across all aspects of modern life ...
    • Reflect–Express–Transform: Investigating Speech-Based Iterative Digital Design for Young Designers 

      Vyas, Shantanu; Chen, Ting-Ju; Woodward, Jay; Krishnamurthy, Vinayak R. (The American Society of Mechanical Engineers (ASME), 4/19/2023 )
      We investigate speech-based input as a means to enable reflective thinking for younger individuals (middle- and high-school students) during design iterations. Verbalization offers a unique way to externalize ideas in early ...
    • Effects of Elastoplasticity, Damage, and Environmental Exposure on the Behavior of Adhesive Step-Lap Joints 

      Michopoulos, John G.; Apetre, Nicole A.; Iliopoulos, Athanasios P.; Steuben, John C. (The American Society of Mechanical Engineers (ASME), 12/21/2022)
      The presence of damage in the adhesive material as well as combined environmental excitation in multi-material adhesive step-lap joints (ASLJs) often encountered in aircraft industries are frequently neglected. Historically, ...
    • Physics Informed Synthetic Image Generation for Deep Learning-Based Detection of Wrinkles and Folds 

      Manyar, Omey M.; Cheng, Junyan; Levine, Reuben; Krishnan, Vihan; Barbič, Jernej; Gupta, Satyandra K. (The American Society of Mechanical Engineers (ASME), 12/9/2022 )
      Deep learning-based image segmentation methods have showcased tremendous potential in defect detection applications for several manufacturing processes. Currently, majority of deep learning research for defect detection ...
    • Metric-Based Meta-Learning for Cross-Domain Few-Shot Identification of Welding Defect 

      Xie, Tingli; Huang, Xufeng; Choi, Seung-Kyum (The American Society of Mechanical Engineers (ASME), 12/9/2022 )
      With the development of deep learning and information technologies, intelligent welding systems have been further developed, which achieve satisfactory identification of defective welds. However, the lack of labeled samples ...
    • Upper Extremity Joint Torque Estimation Through an Electromyography-Driven Model 

      Tahmid, Shadman; Font-Llagunes, Josep M.; Yang, James (The American Society of Mechanical Engineers (ASME), 12/9/2022 )
      Cerebrovascular accidents like a stroke can affect the lower limb as well as upper extremity joints (i.e., shoulder, elbow, or wrist) and hinder the ability to produce necessary torque for activities of daily living. In ...
    • Special Section: Highlights of CIE 2022 

      Unknown author (The American Society of Mechanical Engineers (ASME), 4/12/2023 )
      This Special Section contains a selection of six papers from the 42nd American Society of Mechanical Engineers (ASME) Computers and Information in Engineering (CIE) Conference that was held in St. Louis, MO, Aug. 14–17, ...