Boise State University
Capstone Project 2025
Mach One Solutions, in collaboration with Boise State University (BSU), hosted a student-led project aimed at optimizing aerospace tooling through additive manufacturing. This partnership focused on developing an automated workflow—referred to as nTop Workflow—to streamline the production of composite layup molds using a combination of parametric modeling, finite element analysis, and 3D printing.
Project Objective:
The primary goal was to enhance efficiency, reduce material usage and manufacturing costs, and validate additive manufacturing as a scalable solution for aerospace tooling.
Methodology and Development:
BSU students created an optimization workflow leveraging nTop Platform, which included parametric CAD modeling, meshing, FEA, and cost/material analysis.
A prototype mold was designed using this workflow, manufactured via Fused Deposition Modeling (FDM), and tested through vacuum bagging to simulate real composite layup conditions.
Material testing and simulation verified structural integrity, and design iterations helped reduce stress concentrations and excess material.
Key Results:
The optimized mold demonstrated a 76% volume reduction compared to traditional MDF tooling, leading to significant material and cost savings.
The part retained sufficient dimensional accuracy and structural performance during composite layup.
Reduced non recurring engineering costs associated to manufacturing of large complex tooling and reduced risk of manufacturing defects and repair.
Conclusion:
The developed workflow effectively met project goals by minimizing material waste, preserving structural reliability, and reducing manufacturing costs. It represents a viable, scalable alternative to conventional tooling methods. Hosting this project allowed Mach One Solutions to support emerging engineering talent while exploring innovative, cost-effective manufacturing approaches relevant to our strategic goals in composite production.
Future Recommendations:
The team suggests exploring further design iterations and material combinations to enhance performance and broaden application scope. Continued focus on simulation-driven design will maximize benefits in cost, weight, and production time.