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Training / Education

Introduction to Car Hacking with CANbus

Vehicle cybersecurity vulnerabilities could impact a vehicle's safe operation. Therefore, engineers should ensure that systems are designed free of unreasonable risks to motor vehicle safety, including those that may result due to existence of potential cybersecurity vulnerabilities. The automotive industry is making vehicle cybersecurity an organizational priority.
Training / Education

Introduction to Rubber Science and Technology

2019-10-08
Rubber – a loosely cross-linked network of polymer chains that when strained to high levels will forcibly return to at or near it original dimensions. This course is designed to provide the participant with a thorough understanding of rubber’s engineering characteristics. This class will introduce the various sources of rubber, both natural and synthetic. The class will contrast the differences between rubber and plastics; including thermoplastic rubber. Detailed discussions on how to select the correct rubber polymer for the application, highlighting the pros and cons of each major rubber type.
Training / Education

Fuel Systems Material Selection and Compatibility with Alternative Fuels

2019-04-02
This course will introduce the participants to the factors governing fuel-material compatibility and methods to predict and empirically determine compatibility for new alternative fuel chemistries.  By understanding the mechanisms and factors associated with chemically-induced degradation, participants will be able to assess the impact of fuel chemistry to infrastructure components, including those associated with vehicle fuel systems.  This course is unique in that it looks at compatibility from a fuel chemistry perspective, especially new fuel types such as alcohols and other biofuels. 
Training / Education

Introduction to Design of Experiments (DOE) for Engineers

Anytime
Design of Experiments (DOE) is a methodology that can be effective for general problem solving, as well as for improving or optimizing product design and manufacturing processes. Specific applications of DOE include, but are not limited to, identifying root causes to quality or production problems, identifying optimized design and process settings, achieving robust designs, and generating predictive math models that describe physical system behavior. This introductory on-demand course provides an example scenario to give learners the opportunity to discover situations that may warrant a designed experiment.
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