Core and Elective Courses

Course Type: Elective
Semester: Spring

This course will explore the emergence of 3D printing as a method for the manufacture of products. Descriptions of challenges and opportunities that depend on the modality of the printing process (material extrusion, selective laser sintering, and photopolymerization) will be presented through fundamental descriptions of transport, thermodynamics, and reaction kinetics in a qualitative manner. The potential advantages and disadvantages of each technique will be described as well as design ideas associated with the layout and how these plastics can be printed. Due to the complexities in the geometries for 3D printed parts, methods to estimate quantitative information will also be presented.

Instructor(s): Bryan Vogt

Course Type: Core
Semester: Fall and spring

This course will provide AMD students with exposure to a variety of topics and research areas in AM and DFAM. It will also provide an opportunity for students to network with professionals in both academia and industry.

Instructor(s): Allison Beese and Jaclyn Stimely

Course Type: Core
Semester: Fall

This course will expose students to the state of the art in understanding processing, structure, and property relationships in materials fabricated using additive manufacturing (AM). There will be a strong focus on metallic alloys, while also showing how the content is applicable to polymers, ceramics, and advanced materials in AM. The goal of the course is to give students a fundamental understanding of and appreciation for the relationships among the complex processing in additive manufacturing, the microstructure of the materials produced, and the properties of these materials.

Instructor(s): Allison Beese

Course Type: Core
Semester: Fall

The course will cover the fundamentals of Additive Manufacturing (AM) processes. Students will leverage their background in computer-aided manufacturing to learn the Digital Work Flow steps from Design to Manufactured AM parts. They will learn and gain experience in the various data representation, algorithms and software tools, processes, and techniques that enable additive manufacturing.

Instructor(s): Sanjay Joshi

Course Type: Elective
Semester: Spring

In this course, the production, handling, blending, and characterization of common metallic and composite feedstock materials will be covered. Feedstock forms to be addressed include metal and metal-ceramic composite powders, wire, and sheets, along with new product forms becoming available. A multi-disciplinary approach will be taken to elucidate the connections between production, characterization, and handling to develop an understanding of the role of feedstocks on the resulting process-structure-property relationships for AM processes and products.

Instructor(s): Todd Palmer

Course Type: Elective
Semester: Fall

This course provides a survey of engineering knowledge on existing and future advanced materials for aerospace applications, and provides multiple opportunities for students to apply this knowledge and to analyze existing tailored aerospace materials of high performance.

Instructor(s): Namiko Yamamoto

Course Type: Elective
Semester: Fall

This course covers the principles of bioprinting in tissue engineering and regenerative medicine for use in fabrication of biomedical related products such as implants, tissue scaffolds, engineered tissues, organs and biological systems. Topics include Tissue Engineering, 3D Printing, Layered Manufacturing and Rapid Tooling in Medicine, Design for Bioprinting, The Bioink, Extrusion-based Bioprinting, Droplet-based Bioprinting, Laser-based Bioprinting, Bioprinters and their components, Application Areas of Bioprinting and New Frontiers in Tissue Engineering such as Organ Printing.

Instructor(s): Ibrahim Ozbolat

Course Type: Core
Semester: Fall and spring

This course is the first part of the culminating experience sequence. The goal of this course is to provide the tools to define a topic through a series of assignments that produces a paper proposal. At the end of the course, a faculty paper advisor is assigned, a paper outline and draft introduction are produced, and a paper committee is identified.

Instructor(s): Allison Beese and Jaclyn Stimely

Course Type: Core
Semester: Fall and spring

This course is part two of the culminating experience sequence. The goal of this course is to write the scholarly paper, incorporating feedback from the paper committee through the semester, and submit the paper for review and acceptance.

Instructor(s): Allison Beese and Jaclyn Stimely

Course Type: Elective
Semester: Summer

In this course students will learn to examine networks, quantify assets on the network, determine vulnerabilities using commonly available network and cybersecurity tools, all while using the theme of advanced manufacturing technologies. From the additive manufacturing aspect, students will explore how different modalities of sensing and machine parameters can be manipulated to cause harm to the part, the printer, and the process.

Instructor(s): Brice Toth and Simon Miller

Course Type: Elective
Semester: Fall

This course is designed to expose manufacturing engineers to the aspects of data science in advanced manufacturing. The course includes training in the underlying mathematics and statistics that govern various machine learning algorithms, hands-on practice sessions on Python programming, and problem solving using data sets that are typical in advanced manufacturing applications.

Instructor(s): Amrita Basak

Course Type: Core
Semester: Spring

In this course, students will be exposed to research in the field of Design for Additive Manufacturing (DfAM) that aims to establish an understanding of both opportunistic possibilities (e.g., lattice structures, topology optimization, and mass customization) and quantify restrictive limitations (e.g., minimum feature size and support material removal) when designing products for creation with additive manufacturing.

Instructor(s): Nicholas Meisel

Course Type: Core
Semester: Spring

This course explores additive manufacturing processes with a primary focus on the fundamentals of sintering and fusion of metals., ceramics, and polymers. The topic is multi-disciplinary, requiring examination of individual AM system components, the physics of energy-material interactions, and the materials science at play during heat-reheat cycles. Opportunities for process sensing and real-time control are explored, as well as the role of post-process technologies in realizing serviceable components.

Instructor(s): Ted Reutzel, Dave Corbin, and Joe Bartolai

Course Type: Elective
Semester: Fall, spring, and summer

This course delivers methods and techniques necessary to become proficient in applying CAD as a design tool for engineering design and analysis. Students will gain a deep understanding in principles, best practices, and strategies for solid-model representation of engineering designs. The course will be taught utilizing the SolidWorks software package.

Instructor(s): Rotating

Course Type: Elective
Semester: Summer

This course explores the legal rules related to the ownership, enforcement and management of information related to additive manufacturing. It is directed primarily to students working in fields outside of the legal profession. Primary areas of focus include intellectual property (“IP”) law (patents, trademarks, copyrights and trade secrets), product liability and cybersecurity law, as well as the legal rules for related industry practices such as licensing.

Instructor(s): Daniel Cahoy and Christopher Higgins

Course Type: Elective
Semester: Spring

The primary goal of this course is to familiarize students with mechanical state variable theory. Introduction to state variable modeling will primarily involve the development of elastoplasticity theory describing deformation of ductile engineering alloys, but students will be introduced to state variable models for other material classes. As most state variable models cannot be evaluated analytically, a key focus of assignments will be to gain familiarity with the numerical implementation of various models.

Instructor(s): Darren Pagan

Course Type: Core
Semester: Spring

This course will provide in-depth and hands-on laboratory experience in metal-based additive manufacturing. The laboratory activities will expose students to all aspects of the additive manufacturing workflow for metal components, starting with conceptual design, proceeding through fabrication, post-processing, and part inspection. Laboratory activities will include part design and analysis, process simulation and modeling, build preparation and machine set up, fabrication and post-processing, and non-destructive inspection and measurement.

Instructor(s): Amrita Basak

Course Type: Elective
Semester: Spring

This course will expose students to foundational understanding of nondestructive evaluation (NDE) techniques suitable for additively manufactured components. We will focus on the underlying principles of methods such as ultrasound, resonance testing, and X-ray computed tomography (CT) and evaluate the applicability of conventional methods to AM parts.

Instructor(s): Andrea Arguelles

Course Type: Elective
Semester: Spring

Materials characterization is now nearly a completely digital process. Successful experimentalists of the future will need to be effective users of modern numerical methods, including machine learning tools. To effectively use these tools —not as a `black box’—and analyze the large amounts of data collected, a foundation in standard numerical methods (from which modern machine learning is an outgrowth) is required. Here, a practical introduction to the theory and application of common numerical methods will be presented (see below). Throughout the course, assignments will revolve around implementation (in Python) of the methods and algorithms outlined in lecture as applied to example data collected during materials characterization (1D-4D).

Instructor(s): Darren Pagan

Course Type: Elective
Semester: Fall

In this course, a comprehensive study of solid-state phase transformations in metallic materials will be undertaken. Beginning with the underlying crystal structures prominent in common alloy systems, the role of diffusion and nucleation and grain growth will be undertaken to describe the early stages of phase transformations. Building on solid state nucleation theory, microstructural development and precipitation and growth of secondary phases in both equilibrium and non-equilibrium conditions will be studied. These fundamental materials processes will then be investigated for conditions prevalent in advanced manufacturing processes and correlated with advanced and emerging characterization tools.

Instructor(s): Todd Palmer