Data-Driven Design for Re-X
This project will create a tool to evaluate and recommend the optimal designs of components in industrial and agricultural equipment. By designing components with optimum material utilization and end-of-life in mind, there is a 60% reduction in carbon emissions.
The novelty of this tool lies in its ability to incorporate real-world load/component health data that has been acquired by condition monitoring systems in the field into early-stage design assessment using random variable models. This approach enables data-informed design for Re-X.
PUBLICATIONS
Li, Meng; Liu, Jinqiang; Nemani, Venkat Pavan; Ahmed, Navaid; Kremer, Gül E.; and Hu, Chao, "Reliability-Informed Life-Cycle Warranty Cost Analysis: A Case Study on a Transmission in Agricultural Equipment" (2020). Industrial and Manufacturing Systems Engineering Conference Proceedings and Posters. 204. https://lib.dr.iastate.edu/imse_conf/204
Li M., Nemani V.P., Liu J., Lee M.A., Ahmed N., Kremer G.E., and Hu C., “Reliability-Informed Life Cycle Warranty Cost and Life Cycle Analysis of Newly Manufactured and Remanufactured Units,” , Journal of Mechanical Design, November 2021.
Nemani V.P., Liu J., Ahmed N., Cartwright A., Kremer G.E., and Hu C., “Reliability-Informed Economic and Energy Evaluation for Design for Remanufacturing: A Case Study on a Hydraulic Manifold,” Under Review, ASME International Design Engineering Technical Conferences & Computers and Information in Engineering Conference (IDETC/CIE), Aug 17-19 2021, hosted online.