Chan Yu
Lecturer
Charles V. Schaefer, Jr. School of Engineering and Science
Department of Mechanical Engineering
Education
- PhD (2001) Stevens Institute of Technology (Mechanical Engineering)
- MS (1995) Stevens Institute of Technology (Mechanical Engineering)
- BS (1990) Iowa State University (Mechanical Engineering)
Experience
Lecturer, Stevens Institute of Technology, Mechanical Engineering Department (2019-present)
Adjunct Assistant Professor, Stevens Institute of Technology, Hoboken, NJ (2004-2019)
Research Associate/Knowledge Engineer, Design and Manufacturing Institute, Hoboken, NJ (2001-2007)
Adjunct Assistant Professor, Stevens Institute of Technology, Hoboken, NJ (2004-2019)
Research Associate/Knowledge Engineer, Design and Manufacturing Institute, Hoboken, NJ (2001-2007)
Honors and Awards
Kurt H. Weil Award for outstanding performance in the doctoral program, Stevens Institute of Technology, 2002
Professional Societies
- ASEE – American Society for Engineering Education Member
Selected Publications
Conference Proceeding
- Yu, C.; Pochiraju, K.; Manoochehri, S. (2009). Pultrusion process analysis using knowledge-based system. 2008 Proceedings of the ASME International Design Engineering Technical Conferences and Computers and Information in Engineering Conference, DETC 2008 (PART A ed., vol. 1, pp. 35-42).
- Yu, C.; Manoochehri, S.; McKonly, C. (2003). Optimal packaging of tank turret system. Proceedings of the ASME Design Engineering Technical Conference (vol. 2 B, pp. 917-925).
- Yu, C.; Manoochehri, S. (2002). Hybrid approach for containment problems. Proceedings of the ASME Design Engineering Technical Conference (vol. 2, pp. 849-857).
- Yu, C.; Manoochehri, S. (1999). Overlap Detection Using Minkowski Sum in Two-Dimensional Layout. Volume 1: 25th Design Automation Conference. American Society of Mechanical Engineers.
http://dx.doi.org/10.1115/detc99/dac-8570.
Journal Article
- Liu, N.; Manoochehri, S.; Yu, C. (2014). System of systems analytic hierarchy and stochastic optimisation design. International Journal of System of Systems Engineering (2 ed., vol. 5, pp. 114-124).
- Yu, C.; Manoochehri, S. (2003). Optimal packing using the multiple mating method. Engineering with Computers (1 ed., vol. 19, pp. 56-65).
- Yu, C.; Manoochehri, S. (2002). Nesting arbitrary shapes using geometric mating. Journal of Computing and Information Science in Engineering (3 ed., vol. 2, pp. 171-178).
Courses
ENG120, “Engineering Graphics” - Introduce principles of engineering graphics and the computer aided solid modeling tool, Solidworks
ENG126, “Mechanics of Solids” - Introduce the basics of the solid mechanics including statics, behavior of solid materials, especially their motion and deformation under the action of forces.
ME491, “Manufacturing Processes and Systems” - This course introduces manufacturing processes including traditional manufacturing processes, latest additive manufacturing technologies, and more. For each manufacturing process, machines and process parameters will be identified for quality improvement and cost reduction. Material behavior and process physics will be discussed to further understand the principles of the process. This course also covers the systems of manufacturing including automation technologies, integrated manufacturing systems, and manufacturing support systems.
ME554, “Introduction to CAD” - Introduce optimization methodology as a valuable decision support tool, help develop skills in building and solving optimization models for variety of engineering decision problems, and expose key mathematical concepts underlying various optimization models and algorithms
ME564, “Principle of Optimum Design and Manufacture” - Introduce fundamentals of CAD and its application in design and manufacturing practices. Students will learn theories and practices related to geometric modeling, mechanical assembly, parametric design, freeform surface modeling, and computer aided simulation for the product design. Students will learn the state of art CAD software, Creo Parametric through tutorials and exercises.
ME566, “Design for Manufacturability” - Design for Manufacturability addresses methodologies and tools to define product development phases and experience working in teams to design high-quality competitive products. Primary goals are to improve the ability to reason about design, material and process alternatives and apply modeling techniques appropriate for different development phases
ME652, “Advanced Additive Manufacturing” - Introduce the basics of the solid mechanics including statics, behavior of solid materials, especially their motion and deformation under the action of forces.
ME653, “Design for Additive Manufacturing” - Design for additive manufacturing course teaches how best to design products for additive manufacturing from variety of perspectives including surface texture and quality improvements of 3d printed parts, design rules for additive manufacturing, part build orientation, integrated design and part consolidation, and part geometry and topology optimization.
ENG126, “Mechanics of Solids” - Introduce the basics of the solid mechanics including statics, behavior of solid materials, especially their motion and deformation under the action of forces.
ME491, “Manufacturing Processes and Systems” - This course introduces manufacturing processes including traditional manufacturing processes, latest additive manufacturing technologies, and more. For each manufacturing process, machines and process parameters will be identified for quality improvement and cost reduction. Material behavior and process physics will be discussed to further understand the principles of the process. This course also covers the systems of manufacturing including automation technologies, integrated manufacturing systems, and manufacturing support systems.
ME554, “Introduction to CAD” - Introduce optimization methodology as a valuable decision support tool, help develop skills in building and solving optimization models for variety of engineering decision problems, and expose key mathematical concepts underlying various optimization models and algorithms
ME564, “Principle of Optimum Design and Manufacture” - Introduce fundamentals of CAD and its application in design and manufacturing practices. Students will learn theories and practices related to geometric modeling, mechanical assembly, parametric design, freeform surface modeling, and computer aided simulation for the product design. Students will learn the state of art CAD software, Creo Parametric through tutorials and exercises.
ME566, “Design for Manufacturability” - Design for Manufacturability addresses methodologies and tools to define product development phases and experience working in teams to design high-quality competitive products. Primary goals are to improve the ability to reason about design, material and process alternatives and apply modeling techniques appropriate for different development phases
ME652, “Advanced Additive Manufacturing” - Introduce the basics of the solid mechanics including statics, behavior of solid materials, especially their motion and deformation under the action of forces.
ME653, “Design for Additive Manufacturing” - Design for additive manufacturing course teaches how best to design products for additive manufacturing from variety of perspectives including surface texture and quality improvements of 3d printed parts, design rules for additive manufacturing, part build orientation, integrated design and part consolidation, and part geometry and topology optimization.