Session: DFMLC-05-01: Special Session: Design Tool Showcase & Design for Manufacturing and the Life Cycle in response to COVID-19

Paper Number: 74829

Start Time: August 19, 11:10 AM

74829 - Digital Co-Design Architecture and Tools for the Goal-Oriented Inverse Design of Evolving Products and Processes 

Open materials, products, and manufacturing process innovation requires seamless integration and management of data, models, information, and knowledge demanding a closed loop knowledge transfer and management system across the life cycle of the product. Designing new materials and functional products cannot be done in isolation and should involve the consideration of evolving customer needs and requirements. We identify co-design, that is, the capability of a network of stakeholders, including material scientists, systems designers, software developers, end customers to come together and share material/product/manufacturing process/market data, information, knowledge, and resources instantly and in an integrated fashion thereby collaborate to facilitate a cost-effective co-creation of value supporting open innovation, as the way forward for achieving the same.

In this presentation, we showcase the key components and features of a digital, cloud-based service-oriented co-design architecture for open materials, products, and manufacturing process innovation. The key features of the architecture include systematic: 1) model integration, 2) intelligent (machine learning enhanced) goal-oriented, inverse design (iGoID) exploration, 3) uncertainty management, and 4) knowledge-based co-design guidance for decision makers, across the value chain. We focus on iGoID framework, an end-goal driven, “top-down” design of manufacturing processes by taking a goal-oriented, inverse approach. Designers will be able to specify the end-goals that need to be realized for the product and the process and then “design” the preceding stages by systematically proceeding inversely to satisfy the specified-end goals followed by exploring the design space.  The associated computational foundations and metrics (design tools) will be showcased in this presentation. The efficacy of the architecture will be illustrated using a steel manufacturing process chain problem, wherein key players share material, product and manufacturing process knowledge for co-creation of value supporting open materials, products, and manufacturing process innovation.

Presenting Author: Anand Balu Nellippallil Florida Institute of Technology

Authors:

Anand Balu Nellippallil Florida Institute of Technology
Zhenjun Ming Beijing Institute of Technology
Janet K. Allen University of Oklahoma
Farrokh Mistree University of Oklahoma