[CMT Key Members]

Distinguished Professor Wen-Ren Jong

  • Education Background：Ph.D., Mechanical Engineering, Cornell University, United State
  • E-mail： wenren@cycu.edu.tw
  • Current Position： Distingusged Professor, Department of Mechanical Engineering, Chung Yuan Christian University

Professional Specialty：

  • Injection Mold Design / Manufacturing / Molding
  • Mold design navigating system
  • AI for process scheduling optimization
  • CAD/CAM/CAE/CIM
  • Smart manufacturing factory

Research Fields：

  1. The Construction and Verification of Digital Twins in Mould Processing Factory for iOS devices
  2. Explore Automatic Manufacturing Planning With Graph Machine Learning
  3. Integration and Verification of Multi-agent System in Job-Shop Scheduling Field
  4. Integrated Application, Verification and Learning of Processing Feature Automatic Recognition and Processing Time Prediction
  5. Construction and Optimization of Deep Reinforcement Learning for Job-shop Scheduling
  6. The Integrated Application of Deep-Learning for 2D Drawings

Potential Applications of Research：

  1. Injection Mold Design / Manufacturing / Molding
  2. Planning Scheduling System
  3. Smart Manufacturing Factory

Honors：

  • 中原大學研究傑出教師(2018)
  • 中原大學特聘教授 (2015)
  • 中原大學研究傑出教師 (2012)

Selected Publications：

  1. Fu, J. Y., Jong, W. R., Ting, Y. H., & Zhou, Z. W. (2024, Feb). Verification and Learning of Feature Automatic Recognition with Time Prediction for EDM and WEDM. Advances in Science and Technology, 139, 87-93. 本人為通訊作者.
  2. Zhou, Z. W., Yang, H. Y., Xu, B. X., Ting, Y. H., Chen, S. C., and Jong, W. R.* (2023, Dec). Prediction of Short-Shot Defects in Injection Molding by Transfer Learning.. Applied Sciences, 13(23), 12868. 本人為通訊作者.
  3. Lin, Y. H.*, Ting, Y. H., Huang, Y. C., Cheng, K. L., and Jong, W. R. (2023, Aug). Integration of Deep Learning for Automatic Recognition of 2D Engineering Drawings. Machines, 11(8), 802.
  4. Zhou, Z. W., Jong, W. R.*, Ting, Y. H., Chen, S. C., and Chiu, M. C. (2023, May). Retrieval of Injection Molding Industrial Knowledge Graph Based on Transformer and BERT. Applied Sciences, 13(11), 6687. 本人為通訊作者.
  5. Zhou, Z. W., Ting, Y. H.*, Jong, W. R., Chen, S. C., and Chiu, M. C. (2023, Feb). Development and Application of Knowledge Graphs for the Injection Molding Process. Machines, 11(2), 271.
  6. Jing-Yi, Fu, Wen-Ren, Jong, Yu-Hung, Ting and Zhe-Wei, Zhou(2022, Oct.). Integrated Application, Verification and Learning of Feature Automatic Recognition with Time Prediction for EDM and WEDM. International Conference on Machining, Materials and Mechanical Technologies, Taipei, Taiwan.
  7. Chen, S. C., Jong, W. R., Chang J. A., & Chang, Y. J. (2022, May). Dynamic Mold Surface Temperature Control Using Induction and Heater Heating Combined with Coolant Cooling. International Polymer Processing, 21(5), 457-463.
  8. Huang, Y. M., Jong, W. R., & Chen, S. C. (2021, Nov). Transfer Learning Applied to Characteristic Prediction of Injection Molded Products. Polymers, 12(22), 3874.
  9. Huang, C. T., Lin, T. W., Jong, W. R., & Chen, S. C. (2021, Sep). A Methodology to Predict and Optimize Ease of Assembly for Injected Parts in a Family-Mold System. Polymers, 13(18), 3065.
  10. Jong, W. R., Chen, H. T., Lin, Y. H., Chen, Y. W., & Li, T. C. (2020, Nov). The Multi-layered Job-shop Automatic Scheduling System of Mould Manufacturing for Industry 3.5.. Computers & Industrial Engineering, 149, 106797.
  11. Huang, C. T., Xu, R. T., Chen, P. H., Jong, W. R., & Chen, S. C. (2020, Oct). Investigation on The Machine Calibration Effect on The Optimization through Design of Experiments (DOE) in Injection Molding Parts. Polymer Testing, 90, 106703.
  12. Huang, Y. M., Jong, W. R., and Chen, S. C. (2021, May). Research on transfer learning applied to characteristic prediction of injection of injection molded products. 2021 SPE Annual Technical Conference, ANTEC 2021.
  13. Lin, T. W., Huang, C. T., Jong, W. R., and Chen, S. C. (2021, May). Investigation on the degree of assembly for components in an injection family mold system.2021 SPE Annual Technical Conference, ANTEC 2021.
  14. Xu, R. T., Huang, C. T., Chen, P. H., Jong, W. R., and Chang, R. Y. (2020, May).Machine calibration effect on the optimization through design of experiments (DOE) in injection molding. SPE ANTEC 2020: Annual Technical Conference for Plastic Professionals.
  15. Jong, W. R., Huang, Y. M., & Zeng, J. Y. (2019, May). Application of transfer learning of CAE to the training of neural networks of different injection products. ANTEC 2019.
  16. Jong, W. R., Chen, S. C., Huang, Y. M. & Lin, Y. Z. (2018, May). Machine Learning on CAE with The Taguchi Method and Neural Network. ANTEC 2018.
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