Additive Manufacturing (AM), also known as 3D printing, is a disruptive technology that has received significant attention in recent years in both the popular press and the manufacturing industry. This class will cover a comprehensive understanding of various AM technologies and their applications.

The course introduces the concept of waves in materials and fluids. The first part of the course is an introduction to boundary value problems and to waves in materials and acoustic waves. The second part is devoted to hydrodynamics and waves in the ocean. Introduction to partial differential equations and boundary value problems; Wave equation; waves in strings and membranes; elastic waves in materials; acoustic waves in fluids; hydrodynamics of water waves; linear and nonlinear wave theories; refraction and diffraction; random waves; breaking waves and solitons.

Modeling, analysis, and simulation of dynamic systems. Models for the dynamics of systems from different disciplines derived using differential equations and then transformed into state-space and input/output forms, and finally simulated. Relevant concepts from Laplace Transform, linear algebra, and complex variables covered. The models analyzed for transient response and frequency response properties.

Innovation in materials, IT, manufacturing and intelligent techniques is propelling the revolution of manufacturing industry. The integration of the innovative materials and artificial intelligent (AI) and sensing techniques in manufacturing processes, called Industry 4.0, is bringing lower cost and higher quality products to our life and changing our life.

Theory and execution of selected mechanical engineering measurements. Lectures and 1 three-hour lab meeting.

Important mechanical properties of materials engineering such as yield strength and fracture toughness experimentally investigated with a view towards materials selection and design. Skills emphasized: experimental technique, statistical analysis of data, report writing, and oral presentation.

This course introduces numerical methods used by mechanical engineers. It involves coding algorithms in Matlab and observing the types of numerical errors that arise. It is suitable for junior and senior undergraduates and graduate students. It provides a foundation for Advanced Numerical Analysis (MIE 603), which presumes an understanding of basic numerical methods and focuses on accounting for numerical errors in order to analyze engineering problems using numerical solutions that inherently include error.

This is a senior design project course for a 2-semester industry-sponsored project. Students will attend MIE 415 for 2-semesters and remain on the same team for the project duration. Project includes design concept selection, design specification writing, assembly design (DFM), design analysis, a final report and oral presentations in defense of the design. Satisfies a technical elective requirement for BS-ME majors.

Not available at this time.