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Washington University in St. Louis News & Information > Faculty Experts at Washington University in St. Louis >

Lucy and Stanley Lopata Professor of Chemical Engineering
Expertise: aerospace, composite materials, fiber-reinforced resin laminate
Bio:
The Lucy and Stanley Lopata Professor of Chemical Engineering is an expert in composite materials and their applications ranging from the construction industry to medical uses. Kardos has been on the Washington University faculty for more than 30 years, serving in a variety of capacities. He began as assistant professor of chemical engineering in 1965, rising to professor in 1974 and then chair of the department in 1991. From 1971 to 1991, Kardos was director of the Materials Research Laboratory and chair of the graduate program in materials science and engineering. His research efforts are primarily in the area of composite materials, including structure-property prediction, interface modeling and material characterization.
WUSTL Contact Information:
Education:
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Ph.D. at Case Western Reserve University
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M.S. at University of Illinois
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B.S. at Pennsylvania State University
Additional Background: Composite materials continue to be the major technological area being advanced by John Kardos. Kardos, along with Bamin Khomami, is developing mathematical process models to simulate new, less expensive processes for manufacturing composite materials. These simulations greatly reduce development time and allow the optimization of the processes before a penny is spent for very expensive dies and other processing equipment.
Models are being developed to simulate a fiber-reinforced resin laminate as it consolidates and cures under specific pressure- and temperature-time profiles. These simulations provide a means of eliminating the pitfalls of voids and composition gradients that arise when thick, large primary structural parts are attempted by the aerospace industry using traditional processing techniques.
When combined with appropriate sensor and expert system technologies, these process models can provide on-line control and optimization strategies for improved automation of composite manufacturing.
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