Joseph Chen

Biography

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Honors and Awards:

• Samuel Rothberg Professional Excellence Award (recipient), Bradley University, 2018
• Caterpillar Inc. Professorship (recipient), Bradley University, 2016
• Best Paper finalist, Manufacturing Division, American Society of Engineering Education, June 2010.
• Superior Engineering Teaching Award (recipient), College of Engineering, Iowa State University, 2009.
• Best Paper award, recipient, Manufacturing Division, American Society of Engineering Education, June 2008.
• Year of Merit, recipient, 2007, Society of Manufacturing Engineering (SME)
• Early Achievement in Research Award (recipient), Iowa State University, 2000.
• Early Achievement in Teaching Award (recipient), Iowa State University, 1998.

Teaching

Teaching Interests:

• Lean Manufacturing
• Six Sigma
• Facility Planning
• Automated Manufacturing Processes
• Quality Function Deployment
• Taguchi Parameter/Tolerance Design
• Metrology and Instrumentation
• Design for Manufacturability
• Process design and planning
• Manufacturing Economics

Scholarship

Research Interests:

• Dr. Chen has two major areas of research: (1) adaptive control systems for automated machines; (2) Curriculum development to enhance education of lean manufacturing system design and methodologies at ISU.
• Dr. Chen is developing adaptive control systems for vertical machine centers and turning centers to detect defects (such as tool wear, tool breakage, and poor surface finishing) while the machining process is taking place and provide recommended correction approaches to prevent defects in a real time, on-line fashion.
• The injection molding products market is growing, and Dr. Chen is also developing on-line defect prevention systems for injection molding machines to detect flash that is caused by mixed-materials or mold-closing gap problems in order to meet industry needs. These systems will be enlarged to be able to detect other injection molding quality characteristics, such as weld-line, etc.
• Curriculum development to engage students in reflecting industrial needs in the areas of design for manufacturability, lean manufacturing methodologies, facilities planning, Taguchi parameter design, six sigma are also part of Dr. Chen’s scholarship in teaching activities. Development of a virtual factory to deliver such concepts to students is Dr. Chen’s vision in teaching manufacturing.

Recent Publications:

• Yu, S. and Chen, J. (2023) “Optimizing Surface Roughness on Live Tooling CNC Lathe Via DMAIC and Taguchi Methodology”, International Journal of Mechanical and Production Engineering (IJMPE)-IJMPE, 17(12), 37-40.
• Chen, J., Guo, G., and Chang, Y.-H. (2023) “Intelligent Dimensional Prediction Systems with In-mold Sensors for Injection Molding via Statistical Regression and Artificial Neural Networks”, International Journal on Interactive Design and Manufacturing, 17(3), 1265-1276.
• Chen, J., and Krisshnasamy R. (2023) “Development of eDART-based weight prediction system in injection molding via Taguchi design and fuzzy logic,” DOI1088/1742-6596/2631/1/012013
• Hsu, Y. and Chen, J. C. (2023). Minimization of Defect Rate in Injection Molding Process by Optimizing Machine Parameters via Taguchi Method. International Journal of Science, Engineering and Management (IJSEM), 10(3), 24-27.
• Ye Li, Joseph C. Chen and Wamda Mohamed Ali, (2022) “Process Optimization and In-Mold Sensing Enabled Dimensional Prediction for High Precision Injection Molding”, International Journal on Interactive Design and Manufacturing, 16, pages 997–1013.
• Chen, J.C. and Kudapa, V.M. (2020) “Development of Fuzzy Logic and Neuro-Fuzzy Surface Roughness Prediction Systems Coupled with Cutting Current in Milling Operation,” International Journal of Mechanical and Industrial Engineering,
• Ponnappan, H. K., and Chen, J.C. (2020) “Optimization of Surface Finish in Milling Operation Using Live Tooling via Taguchi Method,” International Journal of Mechanical and Industrial Engineering Vol:14, No:1, pp 30-33
• Chen, J.C., Guo, G., and Wang, W., (2020) “Artificial Neural Network Based Online Defect Detection System with In-mold Temperature and Pressure Sensors for High Precision Injection Molding”, The International Journal of Advanced Manufacturing Technology, 110, No. 7, 2023-2033.
• Syed, S.F., Chen, J.C. and Guo, G, (2020) “Optimization of Tensile Strength and Shrinkage of Talc-filled Polypropylene as a Packaging Material in Injection Molding”, Journal of Packaging Technology and Research, 4, No. 1, 69-78.
• Vineeth G. Kuriakose, Joseph C. Chen, Ye Li, (November 2018) “Taguchi-Based Surface Roughness Optimization for Slotted and Tapered Cylindrical Products in Milling and Turning Operations” , International Journal of Mechanical and Mechatronics Engineering, Vol:12, No:11, 2018, pp 1057-1065
• Guo, G., Chen, J.C., and Gong, G., (2018) “Injection Molding of Polypropylene Hybrid Composites Reinforced with Carbon Fiber and Wood Fiber”, Polymer Composites, Vol. 39, No. 9, 3329-3335, (DOI:10.1002/pc.24350).
• Chou, S. and Chen, J.C. (October 2017) “Taguchi-Based Six Sigma Approach to Optimize Surface Roughness for Milling Processes,” International Journal of Mechanical, Aerospace, Industrial, Mechatronic and Manufacturing Engineering, Vol: 11, No: 10, 2017, pp 1593 - 1598.
• Gong, G., Chen, J.C., and Guo, G., (2017) “Enhancing Tensile Strength of Injection Molded Fiber Reinforced Composites Using the Taguchi-based Six Sigma Approach”, The International Journal of Advanced Manufacturing Technology, Vol. 91, No. 9, 3385-3393.
• Alblawi T., Chen J.C., and Li Y., (2016) Development of a Taguchi-based framework for optimizing two quality characteristics in Wire-EDM operations, Int. Journal of Engineering Research and Applications, Vol. 6, Issue 1, (Part - 6) January 2016, pp.35-49
• Chen, J.C. and Liang Y. (2015) Development of fuzzy logic-based statistical process control chart pattern recognition system, International Journal of Advanced Manufacturing Technology. Vol 86, Issue 1, pp 1011-1026.
• Chen, J.C. and Abhilash, R. (April 2014) Optimization of Green Sand Casting Process Using Six Sigma DMAIC Approach, Journal of Enterprise Transformation, Vol. 4, Issue 2, pp. 172-188.
• Chen, J.C. and Chen, K. (Feb. 2014) ORFPM system for lean implementation: an industrial case study, International Journal of Advanced Manufacturing Technology. Vol 72, pp 839-852.
• Liang, Y and Chen, J.C. (2013) Development of a Robust Supply Chain Total-Cost Model Integrating Currency Uncertainty and Quality Variations, International Journal of Engineering Research and Innovation, Vol 5, No #1, pp 5-14.
• Li, Y., Surisetti, N.P., Chen, J.C. (Feb. 2013) Measuring external profiles of porous objects using CMM, International Journal of Advanced Manufacturing Technology. Volume 64, Issue 5-8, pp 875-887.
• Chen, J.C., Y Li, B Shady, (2012) Development of a Leanness Monitoring System via RFID: An Industrial Case Study, International Journal of Manufacturing Technology and Management, Vol 26. No. 1/2/3/4, pp 1-20.
• Chen, J.C. and T.J. Collins (2012) Creation of a RFID Based Real Time Tracking (R-RTT) system for small healthcare clinics,  Journal of Medical Systems, Published on line, DOI Vol 36(6), pp 3851-3860.
• Chen, J.C. and Cox, R. (2012) Value Stream Management for Lean Office—A Case Study, American Journal of Industrial and Business Management, Vol. 2, pp 17-29.
• Chen, K., Chen, J.C. and Cox, R. (2012) Real Time Facility Performance Monitoring System Using RFID Technology, Assembly Automation, Vol. 32 No. 2, pp 185-196.
• Muhammad, M., Chen, J.C., and Mufti, N.A. (2011), Investigation of Rake Angle Effect for Minimization of Surface Roughness in Internal Turning, International Journal of Precision Engineering and Manufacturing, Vol. 12, No. 1, pp. 121-127.
• Chen, J.C. and Kirby, D. (2010) Comparing classical DOE and Taguchi parameter design in a learning environment, Journal of Engineering Technology, 27 No2, pp 42-52.
• Chen J.C., Li Y., and Shady B. (2010) From Value Stream Mapping Toward a Lean/Sigma Continuous Improvement Process: an Industrial Case Study. International Journal of Production Research, Vol. 48, issue 4, pp 1069-1086.