Professor Robert Gao
Robert Gao is the Cady Staley Professor of Engineering and Department Chair of Mechanical and Aerospace Engineering at the Case Western Reserve University in Cleveland, Ohio, USA. Since receiving his Ph.D. from the Technical University of Berlin, Germany in 1991, he has been working on physics-based sensing methodology, design, modeling, and characterization of instrumentation systems, multi-resolution signal analysis, and energy-efficient sensor networks for improving the observability of systems and processes and understanding the underlying physical mechanisms. He is an author of over 300 technical papers in journals and conference proceedings, and a recipient of multiple honors and awards, including the IEEE Instrumentation and Measurement Society’s Technical Award, multiple Best Paper awards, Outstanding Faculty awards, Research Excellence award, and NSF CAREER award. He is a Fellow of the IEEE, SME, and ASME, a Distinguished Lecturer of the IEEE Instrumentation and Measurement Society, and a Corresponding Member of the Connecticut Academy of Science and Engineering.
Through Life Analysis for Machine Tools: from Design to Remanufacture
Robert X. Gao and Peng Wang
Department of Mechanical and Aerospace Engineering
Case Western Reserve University, Cleveland, Ohio, USA
Increasing awareness of environmental burden calls for a sensible transition of manufacturing from the traditional mode where products have only one cycle of service life after being produced to a sustainable mode where multiple cycles of service life are enabled through material recovery, reuse, and remanufacture. As both the means for product generation and a product of modern manufacturing processes, machine tools have been increasingly viewed as a critical element for improving through life and consequently, sustainability. This presentation examines the life cycles of machine tools and technological advancement in improving the life cycle of machine tools. A life cycle is defined as starting from the design, proceeding through the stages of manufacturing and usage, and completing by the end of the service life. Modular design techniques that facilitate the manufacture and assembly of machine tools and analytical methods for reliable machine state estimation and remaining service life prediction are reviewed. Extension beyond completion of the first service life is enabled by recover and recycle of material from worn/broken machines, and redesign methods that reduce the amount of new materials to be used for making the same product in the subsequent re-manufacturing processes to ultimately realize materials reuse. Opportunities and challenges for sustainable manufacturing in the context of cloud manufacturing are also highlighted.