Mechanical Engineering (Ph.D.)

Program Coordinator/Contact

Yucheng Liu, Duane Sander Endowed Professorship in Engineering Innovation and Entrepreneurship and Department Head
Zhong Hu, Professor
Department of Mechanical Engineering
Crothers Engineering Hall 221, Box 2219
605-688-5426

Program Information

The Ph.D. in Mechanical Engineering is designed to develop the depth of knowledge that will allow students to investigate new concepts and new applications of technology to advance the state of the art in the discipline.  It will also provide students with practical training and experience in the scientific methods needed to conduct reliable experiments and to apply and properly validate engineering models of physical systems. Critical thinking and communication skills developed in the program will prepare students for leadership roles.  Overall, the knowledge and skills gained will prepare them for life-long careers in highly desirable research and development positions.

Students who undertake this graduate degree normally have as their goal an advanced understanding of the body of knowledge in the discipline, and a desire to make new and substantive contributions to that knowledge.  Problems in energy conversion, materials, thermal-fluid systems, automation and control, and mechanical systems are typical applications. Graduate studies improve the student’s ability to think critically and creatively, and to synthesize, analyze, and integrate ideas for decision-making and problem solving.

This program offers students an opportunity to undertake research and advanced study in emphasis areas such as:

• advanced manufacturing processes, including research and development of innovative automation and control strategies and techniques such as additive manufacturing/3D printing;
• development of biomedical processes, equipment and systems in support of the growing high-impact regional medical industry;
• engineering of systems used in production agriculture, including technology for precision agriculture;
• biomaterials, renewable energy and bio-resource conversion technologies.
• advanced materials and quality control technologies focused on composition, properties, and integrity of materials,
• systems modeling using computational fluid dynamics and finite element methods leveraging high-performance computing technologies.

Course Delivery Format

The program engages students in lecture, laboratory, and in hands-on, field-based learning experiences.