
NSF Org: |
CMMI Division of Civil, Mechanical, and Manufacturing Innovation |
Recipient: |
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Initial Amendment Date: | March 15, 2013 |
Latest Amendment Date: | March 15, 2013 |
Award Number: | 1266116 |
Award Instrument: | Standard Grant |
Program Manager: |
Donald Hearn
CMMI Division of Civil, Mechanical, and Manufacturing Innovation ENG Directorate for Engineering |
Start Date: | July 1, 2013 |
End Date: | June 30, 2016 (Estimated) |
Total Intended Award Amount: | $132,777.00 |
Total Awarded Amount to Date: | $132,777.00 |
Funds Obligated to Date: |
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History of Investigator: |
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Recipient Sponsored Research Office: |
201 OLD MAIN UNIVERSITY PARK PA US 16802-1503 (814)865-1372 |
Sponsor Congressional District: |
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Primary Place of Performance: |
PA US 16802-6804 |
Primary Place of
Performance Congressional District: |
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Unique Entity Identifier (UEI): |
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Parent UEI: |
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NSF Program(s): | MANFG ENTERPRISE SYSTEMS |
Primary Program Source: |
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Program Reference Code(s): |
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Program Element Code(s): |
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Award Agency Code: | 4900 |
Fund Agency Code: | 4900 |
Assistance Listing Number(s): | 47.041 |
ABSTRACT
The objective of this collaborative research is to develop a generic and systematic methodology for the modeling and control of quality profiles through the integration of advanced statistical techniques and expert knowledge of manufacturing processes. There is an increasingly common situation in industry practices where the quality of a process or product is characterized by a relationship between a response variable and an explanatory variable, called profiles. This research will build appropriate statistical models to characterize the effect of process parameters on the resulting quality profiles, and conduct process control, including spatial uniformity control and change detection, based on the process-profile models. A hierarchical modeling approach will be used in building the models, and advanced Bayesian approaches will be developed for model estimation and change detection. Expert knowledge of the process will be incorporated in the methodology development. The proposed approaches will be validated using degradation profiles in tissue-engineered scaffold fabrication processes.
The results of this research will fill the gap in the state-of-art manufacturing by providing a scientific base and a coherent set of quality engineering tools for quality profiles. A unique contribution of this work is the characterization of the effect of process parameters on quality profiles, which will establish a foundation for process design, monitoring and optimization based on quality profiles. Moreover, the application of the results in the control of degradation profiles in tissue-engineered scaffold fabrication will make it possible to produce tissue-engineered scaffold products that satisfy different requirements for human uses, and thus overcome critical barriers in developing engineered tissues/organs such as bone, liver, blood vessel, and heart valve to meet the vast need for tissue grafts in our nation.
PUBLICATIONS PRODUCED AS A RESULT OF THIS RESEARCH
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PROJECT OUTCOMES REPORT
Disclaimer
This Project Outcomes Report for the General Public is displayed verbatim as submitted by the Principal Investigator (PI) for this award. Any opinions, findings, and conclusions or recommendations expressed in this Report are those of the PI and do not necessarily reflect the views of the National Science Foundation; NSF has not approved or endorsed its content.
In this grant period, Dr. Yang and his students continued working on new materials preparation, scaffold fabrication and characterization and providing the exerimental data to the PI, Li Zeng for developing the proposed statistical methodology.
These data will be used by Dr. Li Zeng to specify the prior distributions of model parameters and constraints on the shape of degradation profiles as well as result interpretation and model validation.
In the past year, we have publised the following papers which are related to scaffold and material preparation under the partial support of this grant. Grant support was acknowledged in all the following publications.
Publications:
1: Surge Kalaba, Ethan Gerhard, Joshua S. Winder, Eric M Pauli, Randy S Haluck, Jian Yang. Design Strategies and Applications of Biomaterials and Devices for Hernia Repair. Bioactive Materials 2016, in press http://dx.doi.org/10.1016/j.bioactmat.2016.05.002
2: Jinshan Guo, Wei Wang, Jianqing Hu, Denghui Xie, Ethan Gerhard, Merisa Nisic, Dingying Shan, Guoying Qian, Siyang Zheng, Jian Yang. Synthesis and characterization of anti-bacterial and anti-fungal citrate-based mussel-inspired bioadhesives. Biomaterials 2016, 85: 204-217
3: Li Zeng, Xinwei Deng, Jian Yang. Constrained Hierarchical Modeling of Degradation Data in Tissue-engineered Scaffold Fabrication. IIE Transactions 2016, 48: 16-33
4: Jiajun Tang, Jinshan Guo, Zhen Li, Cheng Yang, Jian Chen, Shengfa Li, Denghui Xie, Gloria B. Kim, Shaolin Li, Xiaochun Bai, Zhongmin Zhang, Jian Yang. Development of fast degradable citrate-based bone scaffolds for spinal fusion. Journal of Materials Chemistry B 2015, 3: 5569-5576
5: Zhiwei Xie, Nikhil V. Aphale, Tejaswi D. Kadapure, Aniket S. Wadajakar, Sara Orr, Dipendra Gyawali, Guoying Qian, Kytai T.Nguyen, Jian Yang. Design of antimicrobial peptides conjugated biodegradable citric acid derived hydrogels for wound healing. Journal of Biomedical Materials Research Part A 2015, 103(12):3907-3918
6: Yixue Su, Zhiwei Xie, Gloria B. Kim, Cheng Dong, Jian Yang. Design strategies and applications of circulating cell mediated drug delivery systems. ACS Biomaterials Science & Engineering 2015, 1: 201-217.
Last Modified: 08/23/2016
Modified by: Jian Yang
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