智慧製造研究中心

研究成果

每年研究成果 2017 2019 2020 2021 2022 2023 2024

• 35 Article
• 13 Conference contribution
• 2 Paper

每年研究成果

每年研究成果

搜尋結果

• 2024

  Plasma mediated ns-laser erosion of SiC monitored using Raman spectroscopy and in-operando LIBS

  Karnam, D., Rouhani, M., Hobley, J., Hung, C. H., Lo, Y-L., Metla, S. B. S. & Jeng, Y. R., 2024 3月, 於: Surfaces and Interfaces. 46, 104062.

  研究成果: Article › 同行評審

  • Laser induced breakdown spectroscopy 100%
  • Raman spectroscopy 80%
  • Laser Induced Breakdown Spectroscopy 77%
  • laser-induced breakdown spectroscopy 73%
  • Ablation 70%
  3 引文 斯高帕斯（Scopus）
• 2023

  Concise Nanotherapeutic Modality for Cancer Involving Graphene Oxide Dots in Conjunction with Ascorbic Acid

  Shih, C-Y., Wang, P-T., Chung, W-P., Wang, W-H., Chiang, I-T., Su, W-C., Huang, W-L. & Teng, H., 2023 4月 26, 於: Nanoscale.

  研究成果: Article › 同行評審
  1 引文 斯高帕斯（Scopus）

• Correlation of the degenerative stage of a disc with magnetic resonance imaging, chemical content, and biomechanical properties of the nucleus pulposus

  Azril, Huang, K. Y., Hobley, J., Rouhani, M., Liu, W. L. & Jeng, Y. R., 2023 7月, 於: Journal of Biomedical Materials Research - Part A. 111, 7, p. 1054-1066 13 p.

  研究成果: Article › 同行評審

  開啟存取

  • Nucleus Pulposus 100%
  • Intervertebral Disc Degeneration 96%
  • Proteoglycans 87%
  • Storage Modulus 80%
  • Magnetic resonance 79%
  4 引文 斯高帕斯（Scopus）

• Intelligent Additive Manufacturing Architecture for Enhancing Uniformity of Surface Roughness and Mechanical Properties of Laser Powder Bed Fusion Components

  Tran, H. C., Lo, Y. L., Yang, H. C., Hsiao, H. C., Cheng, F. T. & Kuo, T. H., 2023 10月 1, 於: IEEE Transactions on Automation Science and Engineering. 20, 4, p. 2527-2538 12 p.

  研究成果: Article › 同行評審

  • 3D printers 100%
  • Surface roughness 83%
  • Powders 81%
  • Fusion reactions 81%
  • Lasers 76%
  7 引文 斯高帕斯（Scopus）

• Optimization of Butt-joint laser welding parameters for elimination of angular distortion using High-fidelity simulations and Machine learning

  Chuang, T. C., Lo, Y. L., Tran, H-C., Tsai, Y. A., Chen, C. Y. & Chiu, C. P., 2023 12月, 於: Optics and Laser Technology. 167, 109566.

  研究成果: Article › 同行評審

  • butt joints 100%
  • machine learning 82%
  • laser welding 81%
  • Laser beam welding 75%
  • elimination 63%
  7 引文 斯高帕斯（Scopus）

• Optimization of Surface Roughness and Density of Overhang Structures Fabricated by Laser Powder Bed Fusion

  Lin, H. Y., Tran, H. C., Lo, Y. L., Le, T. N., Chiu, K. C. & Hsu, Y. Y., 2023 8月 1, 於: 3D Printing and Additive Manufacturing. 10, 4, p. 732-748 17 p.

  研究成果: Article › 同行評審

  • Surface Density 100%
  • Surface Roughness 84%
  • Surface roughness 69%
  • Powders 68%
  • Fusion reactions 67%
  9 引文 斯高帕斯（Scopus）
• 2022

  Multi-scale simulation approach for identifying optimal parameters for fabrication ofhigh-density Inconel 718 parts using selective laser melting

  Tran, H. C., Lo, Y. L., Le, T. N., Lau, A. K. T. & Lin, H. Y., 2022 1月 3, 於: Rapid Prototyping Journal. 28, 1, p. 109-125 17 p.

  研究成果: Article › 同行評審

  • Selective laser melting 100%
  • Scanning 61%
  • Lasers 60%
  • Powders 48%
  • Evaporation 39%
  18 引文 斯高帕斯（Scopus）

• Numerical and experimental investigation into powder entrainment and denudation phenomena in laser powder bed fusion process

  Le, T. N., Lo, Y. L., Chen, K. Y. & Hung, W., 2022 9月, 於: Powder Technology. 410, 117907.

  研究成果: Article › 同行評審

  • Powders 100%
  • Fusion reactions 99%
  • Lasers 93%
  • Simulation 78%
  • Metal 55%
  10 引文 斯高帕斯（Scopus）

• Optimization of built-part distortion in laser powder bed fusion processing of Inconel 718

  Chang, Y. C., Tran, H. C. & Lo, Y. L., 2022 3月 18, 於: Rapid Prototyping Journal. 28, 3, p. 428-444 17 p.

  研究成果: Article › 同行評審

  • Powders 100%
  • Fusion reactions 99%
  • Lasers 93%
  • Cantilever beams 86%
  • Scanning 35%
  4 引文 斯高帕斯（Scopus）

• POPS: an off-peak precomputing scheme for privacy-preserving computing

  Huang, P. H., Chang, T. W., Tu, C. H. & Chung, S. M., 2022 10月, 於: Journal of Supercomputing. 78, 15, p. 16841-16860 20 p.

  研究成果: Article › 同行評審

  • Privacy Preserving 100%
  • Computing 39%
  • Communication 38%
  • Convolutional neural networks 29%
  • Deep learning 28%

• The Time Machine in Columnar NoSQL Databases: The Case of Apache HBase

  Tsai, C. P., Chang, C. W., Hsiao, H. C. & Shen, H., 2022 3月, 於: Future Internet. 14, 3, 92.

  研究成果: Article › 同行評審

  開啟存取

  • Recovery 100%
  • Ecosystems 31%
  • Industry 25%
  2 引文 斯高帕斯（Scopus）
• 2021

  In-situ thermal stability analysis of amorphous Si-doped carbon films

  Rouhani, M., Hobley, J., Chau-Nan Hong, F. & Jeng, Y. R., 2021 10月 30, 於: Carbon. 184, p. 772-785 14 p.

  研究成果: Article › 同行評審

  • Carbon films 100%
  • Doping (additives) 71%
  • Thermodynamic stability 66%
  • Diamond like carbon films 50%
  • Amorphous Material 44%
  22 引文 斯高帕斯（Scopus）

• Mechanics modeling of residual stress considering effect of preheating in laser powder bed fusion

  Mirkoohi, E., Liang, S. Y., Tran, H. C., Lo, Y. L., Chang, Y. C. & Lin, H. Y., 2021 6月, 於: Journal of Manufacturing and Materials Processing. 5, 2, 46.

  研究成果: Article › 同行評審

  開啟存取

  • Preheating 100%
  • Residual stresses 74%
  • Mechanics 74%
  • Powders 69%
  • Fusion reactions 68%
  18 引文 斯高帕斯（Scopus）

• MPI-Based System 2 for Determining LPBF Process Control Thresholds and Parameters

  Adnan, M., Yang, H. C., Kuo, T. H., Cheng, F. T. & Tran, H. C., 2021 10月, 於: IEEE Robotics and Automation Letters. 6, 4, p. 6553-6560 8 p., 9466449.

  研究成果: Article › 同行評審

  開啟存取

  • Laser 94%
  • Process Control 87%
  • Fusion 80%
  • Process control 68%
  • Powders 60%
  5 引文 斯高帕斯（Scopus）

• On designing the adaptive computation framework of distributed deep learning models for Internet-of-Things applications

  Tu, C. H., Sun, Q. H. & Cheng, M. H., 2021 11月, 於: Journal of Supercomputing. 77, 11, p. 13191-13223 33 p.

  研究成果: Article › 同行評審

  • Internet of Things 100%
  • Learning 50%
  • Deep learning 49%
  • Internet of things 46%
  • Distributed Networks 36%
  4 引文 斯高帕斯（Scopus）

• RAP: A software framework of developing convolutional neural networks for resource-constrained devices using environmental monitoring as a case study

  Tu, C. H., Sun, Q. & Chang, H. H., 2021 10月, 於: ACM Transactions on Cyber-Physical Systems. 5, 4, 43.

  研究成果: Article › 同行評審

  • Environmental Monitoring 100%
  • Neural Networks 56%
  • Resources 56%
  • Convolutional neural networks 54%
  • Framework 34%
  2 引文 斯高帕斯（Scopus）

• Systematic approach for reducing micro-crack formation in Inconel 713LC components fabricated by laser powder bed fusion

  Wang, H. Y., Lo, Y. L., Tran, H. C., Raza, M. M. & Le, T. N., 2021, 於: Rapid Prototyping Journal. 27, 8, p. 1548-1561 14 p.

  研究成果: Article › 同行評審

  • Crack initiation 100%
  • Powders 82%
  • Fusion reactions 81%
  • Lasers 76%
  • Cracks 68%
  17 引文 斯高帕斯（Scopus）

• Vision-based in-situ monitoring system for melt-pool detection in laser powder bed fusion process

  Le, T. N., Lee, M. H., Lin, Z. H., Tran, H. C. & Lo, Y. L., 2021 8月, 於: Journal of Manufacturing Processes. 68, p. 1735-1745 11 p.

  研究成果: Article › 同行評審

  • Monitoring System 100%
  • Laser 97%
  • Fusion 96%
  • Powders 67%
  • Fusion reactions 66%
  25 引文 斯高帕斯（Scopus）
• 2020

  Analytical mechanics modeling of residual stress in laser powder bed considering flow hardening and softening

  Mirkoohi, E., Tran, H. C., Lo, Y. L., Chang, Y. C., Lin, H. Y. & Liang, S. Y., 2020 4月 1, 於: International Journal of Advanced Manufacturing Technology. 107, 9-10, p. 4159-4172 14 p.

  研究成果: Article › 同行評審

  • Hardening 100%
  • Residual stresses 93%
  • Mechanics 93%
  • Powders 87%
  • Lasers 81%
  16 引文 斯高帕斯（Scopus）

• Analytical modeling of residual stress in laser powder bed fusion considering part’s boundary condition

  Mirkoohi, E., Tran, H. C., Lo, Y. L., Chang, Y. C., Lin, H. Y. & Liang, S. Y., 2020 4月, 於: Crystals. 10, 4, 337.

  研究成果: Article › 同行評審

  開啟存取

  • Residual Stress 100%
  • beds 71%
  • residual stress 69%
  • Residual stresses 65%
  • Powders 60%
  24 引文 斯高帕斯（Scopus）

• A new architectural approach to monitoring and controlling AM processes

  Adnan, M., Lu, Y., Jones, A., Cheng, F. T. & Yeung, H., 2020 9月, 於: Applied Sciences (Switzerland). 10, 18, 6616.

  研究成果: Article › 同行評審

  開啟存取

  • 3D printers 100%
  • manufacturing 84%
  • Additive 68%
  • Monitoring 56%
  • machine learning 18%
  14 引文 斯高帕斯（Scopus）

• A Novel Facial Thermal Feature Extraction Method for Non-Contact Healthcare System

  Wang, Z. H., Horng, G. J., Hsu, T. H., Chen, C. C. & Jong, G. J., 2020, 於: IEEE Access. 8, p. 86545-86553 9 p., 9087875.

  研究成果: Article › 同行評審

  開啟存取

  • Feature extraction 100%
  • Block Like Crystal 88%
  • Hot Temperature 62%
  • Temperature 22%
  • Infrared imaging 22%
  22 引文 斯高帕斯（Scopus）

• Automated classification scheme plus AVM for wafer sawing processes

  Hsieh, Y. M., Lu, R., Lu, J. W., Cheng, F. T. & Adnan, M., 2020 7月, 於: IEEE Robotics and Automation Letters. 5, 3, p. 4525-4532 8 p., 9110778.

  研究成果: Article › 同行評審

  • Metrology 94%
  • Defects 26%
  • Roots 13%
  • Learning systems 13%
  • Predict 11%
  6 引文 斯高帕斯（Scopus）

• Multi-objective optimization framework for five-pass wire-drawing process

  Wang, J. H., Lo, Y. L., Wang, H. Y. & Tran, H. C., 2020 4月 1, 於: International Journal of Advanced Manufacturing Technology. 107, 7-8, p. 3049-3063 15 p.

  研究成果: Article › 同行評審

  • Wire drawing 100%
  • Multiobjective optimization 65%
  • Genetic algorithms 32%
  • Finite element method 28%
  • Neural networks 28%
  5 引文 斯高帕斯（Scopus）
• 2019

  An Intelligent Metrology Architecture with AVM for Metal Additive Manufacturing

  Yang, H. C., Adnan, M., Huang, C. H., Cheng, F. T., Lo, Y. L. & Hsu, C. H., 2019 7月, 於: IEEE Robotics and Automation Letters. 4, 3, p. 2886-2893 8 p., 8733865.

  研究成果: Article › 同行評審

  開啟存取

  • Metrology 100%
  • Metals 77%
  • Manufacturing 76%
  • 3D printers 67%
  • Module 19%
  20 引文 斯高帕斯（Scopus）

• Coalescence and epitaxial self-assembly of Cu nanoparticles on graphene surface: A molecular dynamics study

  Tsai, P. C. & Jeng, Y. R., 2019 1月, 於: Computational Materials Science. 156, p. 104-110 7 p.

  研究成果: Article › 同行評審

  開啟存取

  • Graphene 100%
  • Self-assembly 90%
  • Self assembly 84%
  • Coalescence 74%
  • Molecular dynamics 72%
  20 引文 斯高帕斯（Scopus）

• Emissivity calibration method for pyrometer measurement of melting pool temperature in selective laser melting of stainless steel 316L

  Ren, C. G., Lo, Y. L., Tran, H. C. & Lee, M. H., 2019 11月 1, 於: International Journal of Advanced Manufacturing Technology. 105, 1-4, p. 637-649 13 p.

  研究成果: Article › 同行評審

  • Pyrometers 100%
  • Selective laser melting 86%
  • Austenitic stainless steel 65%
  • Calibration 52%
  • Powders 27%
  18 引文 斯高帕斯（Scopus）

• Multi-scale modeling of selective electron beam melting of Ti6Al4V titanium alloy

  Le, T. N., Lo, Y. L. & Tran, H. C., 2019 11月 1, 於: International Journal of Advanced Manufacturing Technology. 105, 1-4, p. 545-563 19 p.

  研究成果: Article › 同行評審

  • Electron beam melting 100%
  • Titanium alloys 68%
  • Powders 53%
  • Electron beams 39%
  • Ray tracing 12%
  13 引文 斯高帕斯（Scopus）

• Optimized hatch space selection in double-scanning track selective laser melting process

  Lo, Y. L., Liu, B. Y. & Tran, H. C., 2019 12月 1, 於: International Journal of Advanced Manufacturing Technology. 105, 7-8, p. 2989-3006 18 p.

  研究成果: Article › 同行評審

  • Hatches 100%
  • Selective laser melting 88%
  • Scanning 54%
  • Lasers 38%
  • Powders 24%
  46 引文 斯高帕斯（Scopus）

• Systematic approach for determining optimal processing parameters to produce parts with high density in selective laser melting process

  Tran, H. C. & Lo, Y. L., 2019 12月 1, 於: International Journal of Advanced Manufacturing Technology. 105, 10, p. 4443-4460 18 p.

  研究成果: Article › 同行評審

  • Selective laser melting 100%
  • Lasers 60%
  • Powders 36%
  • Scanning 17%
  • Yttrium aluminum garnet 17%
  60 引文 斯高帕斯（Scopus）

• Time Series Prediction Algorithm for Intelligent Predictive Maintenance

  Lin, C. Y., Hsieh, Y. M., Cheng, F. T., Huang, H. C. & Adnan, M., 2019 7月, 於: IEEE Robotics and Automation Letters. 4, 3, p. 2807-2814 8 p., 8721101.

  研究成果: Article › 同行評審

  • Time Series Prediction 100%
  • Predictive maintenance 82%
  • Maintenance 74%
  • Time series 55%
  • Exponential Model 25%
  44 引文 斯高帕斯（Scopus）
• 2018

  Full-field stokes-mueller matrix imaging polarimetry system based on electro-optical modulators

  Chang, Y. J., Lo, Y. L. & Phan, Q. H., 2018 12月, 於: IEEE Photonics Journal. 10, 6, 8533600.

  研究成果: Article › 同行評審

  開啟存取

  • Polarimeters 100%
  • Light modulators 92%
  • polarimetry 75%
  • Polarization 58%
  • modulators 55%
  8 引文 斯高帕斯（Scopus）

• Heat transfer simulations of selective laser melting process based on volumetric heat source with powder size consideration

  Tran, H. C. & Lo, Y. L., 2018 5月, 於: Journal of Materials Processing Technology. 255, p. 411-425 15 p.

  研究成果: Article › 同行評審

  • Selective laser melting 100%
  • Heat Transfer 85%
  • Melting 68%
  • Powders 64%
  • Heat 58%
  117 引文 斯高帕斯（Scopus）

• Interaction-Effect Search Algorithm for the KSA Scheme

  Lin, C. Y., Hsieh, Y. M., Cheng, F. T., Yang, Y. R. & Adnan, M., 2018 10月, 於: IEEE Robotics and Automation Letters. 3, 4, p. 2778-2785 8 p.

  研究成果: Article › 同行評審

  • Interaction Effects 100%
  • Search Algorithm 85%
  • Roots 21%
  • Historical Data 12%
  • Big data 11%
  6 引文 斯高帕斯（Scopus）
• 2017

  Analysis of Scattering and Absorption Characteristics of Metal Powder Layer for Selective Laser Sintering

  Tran, H. C., Lo, Y. L. & Huang, M. H., 2017 8月, 於: IEEE/ASME Transactions on Mechatronics. 22, 4, p. 1807-1817 11 p., 7930418.

  研究成果: Article › 同行評審

  • Selective laser sintering 100%
  • Powder metals 90%
  • Scattering 67%
  • Powders 23%
  • Ray tracing 16%
  45 引文 斯高帕斯（Scopus）