Engineers building physical prototypes currently have no automatic way to track changes between a digital 3D model and its real-world counterpart, forcing them to manually measure and update each version by hand. This project tackles a hidden bottleneck in product development. When a design team tweaks a physical prototype—shaving off millimetres here, adding a curve there—those changes must be painstakingly measured and re-entered into the computer model. The reverse process is equally manual. Without a system to track which physical prototype corresponds to which digital version, teams end up with piles of near-identical models, wasted time, duplicated effort, and lost design rationale. Optimising the whole digital-to-physical toolchain becomes impossible. If successful, the research will create an integrated system that automatically syncs changes between digital and physical models in both directions—rapidly, reliably, and without manual inspection. For industries that prototype anything from a car bumper to a medical device, this could slash development costs, reduce errors, and compress time-to-market. The public rarely sees this process, but it quietly determines how quickly and cheaply better products—from safer bicycles to more efficient turbine blades—reach their hands.
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An orchestration of physical and digital models of varying fidelities, and in differing sequences, is required for the product development process. The choice of these models depends upon the: skills of the design team; resources and tools available; purpose of the model; and nature of the design task. In all engineering disciplines a combination of digital and physical models is necessary to support the progression of the design process, with each model and iteration thereof generating new understanding and knowledge to inform decision-making. While extensive modelling - both physical and digital - is imperative to develop right-first-time products, the parallel use of digital and physical models gives rise to two interrelated issues. These are: the lack of revision control for physical prototypes; and the need for designers to manually inspect, measure, and interpret modifications to either digital or physical models, for subsequent update of the other. This manual process of revision control for physical models and what is referred to herein as 'twinning of digital-physical models' impacts on the cost, quality and time of the design and development process. In particular, the lack of revision control leads to multiple near-identical model instances, which contribute to issues of process management, traceability, decision-making, design duplication and inefficiency, and design rationale capture. It also makes optimisation of the product development process in terms of the digital-physical tool-chain all but impossible. In this project we will fundamentally redefine the revision control and twinning processes for digital and physical models from a manual, cumbersome, error-prone and expensive procedure to one that is seamlessly integrated (digital-to-physical and physical-to-digital), rapid, reliable and knowledge rich.
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