Laws of 4D printing

TL;DR

This paper introduces a universal bi-exponential formula to model the fourth dimension in 4D printed multi-material structures, revealing three laws that govern their time-dependent shape-shifting behaviors for advanced manufacturing.

Contribution

It derives and validates a general mathematical model and laws for predicting the time-dependent behavior of 4D printed structures, a novel approach in the field.

Findings

Derived a bi-exponential formula for 4D shape evolution.

Identified three governing laws for time-dependent shape-shifting.

Showed two types of time-constants control behavior.

Abstract

The main difference between 3D and 4D printed structures is one extra dimension that is smart evolution over time. However, currently, there is no general formula to model and predict this extra dimension. Here, by starting from fundamental concepts, we derive and validate a universal bi-exponential formula that is required to model and predict the fourth D of 4D printed multi-material structures. 4D printing is a new manufacturing paradigm to elaborate stimuli-responsive materials in multi-material structures for advanced manufacturing (and construction) of advanced products (and structures). It conserves the general attributes of 3D printing (such as the elimination of molds, dies, and machining) and further enables the fourth dimension of products and structures to provide intelligent behavior over time. This intelligent behavior is encoded (usually by an inverse mathematical problem) into stimuli-responsive multi-materials during printing and is enabled by stimuli after printing. Here, we delve into the fourth dimension and reveal three general laws that govern the time-dependent shape-shifting behaviors of almost all (photochemical-, photothermal-, solvent-, pH-, moisture-, electrochemical-, electrothermal-, ultrasound-, enzyme-, etc.-responsive) multi-material 4D structures. We demonstrate that two different types of time-constants govern the shape-shifting behavior of almost all the multi-material 4D printed structures over time. Our results starting from the most fundamental concepts and ending with governing equations can serve as general design principles for future research in the 4D printing field, where the time-dependent behaviors should be understood, modeled, and predicted, correctly. Future software and hardware developments in 4D printing can also benefit from these results.