UROP Openings

Have a UROP opening you would like to submit?

Please fill out the form.

Submit your UROP opening

Coffee Roasting


Term:

Fall

Department:

2: Mechanical Engineering

Faculty Supervisor:

Brian Anthony

Faculty email:

banthony@mit.edu

Apply by:

9/25/2020

Contact:

theresaw@mit.edu

Project Description

Coffee roasting is the process of transforming green coffee beans into the flavorful coffee beans we all know and love. By roasting coffee beans at an elevated temperature, chemical and physical changes take place to induce the taste and smell of a traditional cup of coffee. While unroasted beans still contain comparable amounts of acid, sugar, oil, and caffeine as found in roasted beans, they will ultimately lack the flavor. Therefore, roasting is a necessary step and it is very common to find commercial-scale coffee roasters around the world. However, it is important that these companies remain consistent in their roasting process so that each batch is of equal quality. Project data captures the overall roasting process of coffee beans. It is comprised of over 70 variables such as time of day, various temperatures, inlet air pressures, fuel flow rates, etc. The data also includes 63 separate roasting processes each spanning several minutes of operation. We hypothesize that accurately maintaining the true roasting temperature will result in better yields and more consistent coffee bean quality. Secondly, we explore the relationship between the temperature of the coffee beans after cooling and the subsequently measured features. Impact: This project is of interest to volume roaster and other types of batch processing manufacturing. Of interest: https://www.ncausa.org/About-Coffee/Coffee-Roasts-Guide https://www.baristainstitute.com/blog/sampo-latvakangas/may-2017/coffee-roasting-basics-developing-flavour-roasting

Pre-requisites

1. This project will utilize machine learning and data analytics, data visualization, and process modeling skills. Background/interest in these skills are helpful and students can expect to enhance these skills through the project. 2. This project is offered as part of the MechE Alliance industry connected ELO cohorts. Applicants will be expected to participate in the cohort program to be eligible for the position. More information can be found in this Google Doc: https://drive.google.com/file/d/1YbGwDXGAvPDSN6DEDGBw-VDJWS7jnp65/view?usp=sharing This is a remote UROP opportunity.