Heat, Mass Transfer, and Fluid Flow in Manufacturing

Course Description: 

Heat, mass transfer and/or fluid flow processes play crucial roles in many important manufacturing and materials processing technologies. This course is to introduce these processes to students for several important manufacturing and materials processing technologies. This course will cover related process mechanisms, theories, governing equations, and other knowledge for analysis and modeling. Students will attend lectures or view lecture videos, do homework and complete two projects.

Learning Outcomes:

Upon successful completion of this course, students will be able to:

1. Explain the fundamental mechanisms of heat, mass transfer and/or fluid flow processes in multiple materials processing and manufacturing technologies
2. Analyze and model the processes for related research, development, design and/or optimization purposes
3. Apply scientific and engineering theories to solve real-world problems involving heat, mass transfer and/or fluid flow in materials processing and manufacturing
4. Communicate the process and findings for thermal analysis and modeling in materials processing and manufacturing by writing technical reports.

Prerequisites:

Students should have taken at least one undergraduate or graduate-level course covering theories in heat transfer and/or fluid mechanics. Students without the previous course experience might still be able to register the course by contacting the instructor for review and approval. 

Learning Resources, Technology & Texts:

• Learning resources
  • Required texts: Poirier, D.R. and Geiger, G.H., Transport Phenomena in Materials Processing. Springer, 2016 (the electronic version of the book is available in the Purdue library if you are a Purdue student). 
  • Additional readings: Information about other important readings will be posted in Brightspace for this course.

• Use of artificial intelligence (AI) or Large Language Models (LLM) in this course: 

  • Unless explicitly indicated by writing otherwise, the use of AI and LLM models are prohibited when students work on any assignment for this course.

• Hardware and software requirements:
  • Students in the online section of this course need to have suitable software and hardware to watch lecture videos.  All students in this course need to have suitable hardware and software to finish all the assignments and submit them to Gradescope. It is assumed that students in this course can lawfully access typical computing-related software such as Matlab available to Purdue students.

• Brightspace learning management system (LMS): Access the course via Purdue’s Brightspace learning management system. Begin with the Start Here module, which offers further insight into the course and how you can be successful in it. It is strongly suggested that you explore and become familiar not only with the site navigation, but also with content and resources available for this course. See the Student Services widget on the Brightspace homepage for resources such as Technology Help, Academic Help, Campus Resources, and Protect Purdue.

Assignments:

This course will have homeworks, two projects, and no exams. 

One project is on the instructor-specified topic, while the other is on the student-decided topic.