Update README.md

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Classroom Challenge Projects/Projects/Drone Payload Capacity and Structural Design Analysis/README.md

@@ -12,7 +12,7 @@ As drone use becomes increasingly common, such as in aerial photography, infrast
 ## Project Description
 This project challenges students to apply core principles from physics and engineering, such as force balance, material properties, and structural analysis, to the real-world problem of designing a quadcopter drone capable of maximizing payload capacity. 
 
-First, you will propose at least two designs for the drone arms. Then, given the properties of different materials, weight of other drone elements, and a minimum payload, you will use MATLAB to perform thrust-to-weight analysis to test the different materials across your designs to meet safety standards and maximize the payload capacity. Next, using a CAD software of your choice, create a digital model of one of your drone arms and import the model into MATLAB to perform finite element analysis. You will use FEA to calculate deformation and stress under motor thrust and component weight, and perform a parameter sweep of material properties to select the material that provides the highest structural integrity. As an optional extension, you will also optimize your design by minimizing total cost, using the average cost of each material to evaluate and compare design choices. 
+First, you will propose at least two drone arm designs. Using the provided material properties, the weight of other drone components, and a minimum payload requirement, you will use MATLAB to perform thrust-to-weight analysis across your designs to ensure safety margins and maximize payload capacity. You will then create a 3D model of one design using a CAD software of your choice, import it into MATLAB, and perform finite element analysis to evaluate deformation and stress under motor thrust and component weight, conducting a parameter sweep of material properties to identify the material that provides the highest structural integrity. As an optional extension, you will also minimize the total material cost of your design by incoporating the average cost of each material option.
 
 Through this process, students explore authentic engineering tradeoffs, such as balancing weight, strength, and efficiency, to arrive at a design solution.