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Digital Twins for Model-Based Machine Design



As modern machine designs require increasingly complex features and faster delivery schedules, even the best engineers can miss important details. Without a better understanding of system-wide interactions, performance issues can pose a significant risk. Digital twins are dynamic models of your machine performance, and they’re an invaluable resource for safer, more cost-effective product development. In this short webinar, see how they can be used to help you accurately size motors, gearboxes, and other components for your machines.

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Graham Jackson

Engineering Specialist


Graham Jackson is an Engineering Specialist at Maplesoft. A nanotechnology engineer by education, he’s got a broad background in new technologies across domains. Graham has spent most of his career communicating complex technical concepts and building support for system-level approaches to modeling and simulation.

Theresa Houck

Executive Editor

Putman Media

Theresa Houck has been Executive Editor of The Journal From Rockwell Automation and Our PartnerNetwork™ magazine for the past 15 years. Her background includes working on employment law books and newsletters for Wolters Kluwers, and serving 14 years as Executive Editor of the Fabricators & Manufacturers Association, Intl., overseeing its 4 magazines, book publishing operation, and marketing and circulation departments for the sheet metal forming & fabricating industry.
Digital Twins for Model-Based Machine Design
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