Workshops & Tutorials

All workshops and tutorials will be held Sunday, August 20th

 

Description: This tutorial will provide a practical guide to multidomain physical modeling in Simscape for mechanical engineers, researchers, and academics. It will cover the basic principles of Simscape and how it can be used to model complex systems, with quadcopter drones and vehicle dynamics as working examples. Participants will learn how to create models using blocks in multiple domains and physical units to build, simulate, and analyze complex systems, focusing on practical engineering applications.

In the quadcopter drone example, multiple topics are covered to model different parts of the drone from predefined physical blocks or imported models such as CAD files, implement control algorithms for motor speed and path planning, and import weather data using a Python interface.

For the vehicle dynamics section, participants use Simscape vehicle templates to define a vehicle model and analyze the model behavior based on the variation of suspension damping, steering inputs, and vehicle configurations (e.g., anti-roll bar, sloshing in a tanker, and regenerative braking).

By the end of the workshop, participants will be able to use Simscape to model and simulate physical systems in engineering applications, including control system design and performance analysis. The tutorial suits engineers, scientists, and students interested in applying physical modeling to solve real-world engineering problems.

 

Description: The workshop titled "From Data to Design: Challenges and Opportunities across Industry and Academia" is a full-day event that will bring together professionals and academics to discuss the latest trends, challenges, and opportunities in the field of data-driven engineering design. The workshop will feature invited speakers from both industry and academia who will share their experiences, insights, and best practices in using cutting-edge data-driven machine learning methods to drive engineering design topics. Attendees will also have the opportunity to engage in discussions about the challenges and opportunities associated with data-driven engineering design and to network with other professionals and academics in the field.

Additionally, the workshop will include a half-day hands-on activity, allowing participants to gain practical experience working with real-world data sets and engineering design problems. By the end of the workshop, attendees will have a comprehensive understanding of the latest trends and best practices in data-driven engineering design, as well as practical experience applying these concepts to real-world problems. The workshop promises to be a valuable opportunity for professionals and academics in the field to learn from each other, collaborate, and drive innovation forward.

Please note: This workshop has capped attendance and therefore may require a prequalification task based on the number of registrants.

 

Description: Over the past three years, the Design Justice Project Team at MIT has investigated the presence of Design Justice in design education courses at MIT and how best to support engineering and design instructors in embedding equity, ethics, and justice in design courses. In August 2022, we hosted the inaugural Design Justice Pedagogy Summit that provided a space for design instructors to come together, learn about Design Justice, and take the first steps for embedding design justice considerations into their courses. The Summit included a workshop and syllabus makeathon activities dedicated to supporting instructors in making the initial step to bring design justice into their courses and policy envisioning activity for imagining the future of design justice in academia. This workshop will be an iteration of the summit specifically bringing these activities (syllabus makeathon and policy envisioning) to the ASME community. Additionally, the workshop will have a panel around design justice in engineering design education. In the workshop, participants will learn strategies for how to engage in design justice considerations in the engineering design classroom and have the opportunity to apply these strategies to their courses.

Please note: If you are a student and/or postdoctoral scholar and the workshop cost would impact your ability to attend the workshop, please email Rima Das at rimadas@mit.edu to learn more about scholarship opportunities.

 

Description: The tutorial on singularities of mechanisms is composed of two parts that complement each other.

In Part 1, the basic concepts and definitions of kinematic singularities of mechanisms and the underlying fundamental concepts for their analytical treatment are introduced. The mathematical framework used for kinematics modeling is the screw and Lie group theory, while the analysis uses recently developed methods from differential geometric methods. I particular, it is shown how higher-order analysis can be used to identify singularities, shakiness, and overconstraints, and to determine the finite motion of linkages. The latter is based on the concept of kinematic tangent cone. It allows identification of motion branches, finite mobility, as well as shaky and kinematotropic linkages. Computational methods are introduced as a hands-on tool so that attendees can make immediate use of these methods.

Part 2 covers the singularity analysis of parallel mechanisms. It covers the constraint singularity analysis of conventional and multi-mode parallel mechanisms using tools from computer algebraic geometry and classification of translational parallel mechanisms based on constraint singularities using tools for solving parametric polynomial equations.

 

Description: The practice of design is rapidly changing. The increasingly digital footprint of design and the growing prevalence of high-powered computing introduces new opportunities for making use of advanced computation. Simultaneously, the rise of complicated cyberphysical systems presents designers with challenges that are unprecedented in terms of scale, multi-disciplinarity, and complexity. In this way, human-AI teaming is not only an exciting opportunity for engineering design, but it is also quickly becoming a necessity. This workshop brings together leading researchers in AI/ML, formal methods, design science, human-computer interaction, and other fields to discuss emerging trends and future opportunities in human-AI teaming for engineering and design.