Model Overview

To achieve the simulation and prediction purpose of modeling, our model uses different methods to simulate the temperature switches, blue light switches, and oxygen suicide switches in our physical process, thus verifying the feasibility of the design. In addition, based on the simulation of state switching and time estimation, we also designed the optimizer to arrange the order of production to achieve the best production performance. By estimating BMR, we design a guide about weight management.

Temperature switches

Based on finite elements, we use multi-physics field simulation software and numerical simulation to realize the simulation of heat transfer and fluid mechanics. It solved partial differential equations (single field) and partial differential equations (multi-field) to provide references for our hardware design and improvement. We mainly explored the influence of temperature, stirring, convection, heat conduction, and other factors on temperature regulation. The conversion time obtained from the final simulation matches the actual one.

Refer to our production models page for modeling detais.

Blue light switches

We used the principle of bistable switching in the design, combined with differential equations to derive the concentration change of each substance, and used Simbiology to add the reaction rules we have deduced and the triggering events when the blue light conditions change. We properly adjust the parameters to get images that meet the requirements, proving the feasibility of our design.

Refer to our production models page for modeling detais.

Suicide switches

After we derived the differential equation, we used Simbiology to build the suicide switch model and found that the toxin content was very low under low oxygen conditions and its concentration increased rapidly when switching to normal oxygen, which could achieve the suicide requirement.

Refer to our biosafety models page for modeling detais.

Optimizer

The order of production has an impact on the total time consumed for production since the synthesized nutrients break down. The model estimates the cost required for the 6 possible sequences to select the optimal solution for production.

Refer to our production models page for modeling detais.

Weight management

Using the Mifflin-St. Jeor formula, we calculated BMR for people with different physical parameters. We then designed one-week plans with different weight loss by estimating calorie reduction per day. This model is also based on the survey data of The Global Nutrient Database covering 195 countries from 1980 to 2013[], and for inclusivity, we divided the world into three regions based on the Three main cuisines. For each region, we equalized a visualized version of food reduction with their major food.

Refer to our weight management assessment page for modeling detais.

Conclusion

Our model combines physical and biological models to design algorithms for optimizing time consumption; tools such as MATLAB and COMSOL Multiphysics were used to achieve verification and guidance of the design, and we achieved generalizable modeling of the bistable switches and suicide switches. Data exchange and simulation were realized with the hardware group in terms of temperature switching.