Topology Optimization (APS-Powered Web Platform)
Reduce material, volume, and cost—without compromising structural performance.
CCTech’s Topology Optimization platform enables engineers to upload CAD models directly into an Autodesk Platform Services (APS) web viewer, define engineering constraints and objectives, and generate optimized design concepts that retain only load-bearing material.
Topology
By eliminating unnecessary mass early in the design phase, teams achieve lighter components, lower material usage, reduced manufacturing costs, and improved performance through a guided, browser-based workflow—without manual rework or trial-and-error modeling. This enables engineering teams to make informed, performance-backed design decisions at concept stage, reducing downstream redesign cycles and accelerating the path from feasibility to production-ready designs.
Core Capabilities
Seamless upload of CAD Model via APS Viewer
Engineers securely upload CAD models into the APS web viewer without local installations. Native geometry is streamed and visualized directly in the browser.
Define Design & Preserve Regions
Users interactively select optimization regions and preserve functional interfaces such as mounting points, holes, and connection faces within the viewer.
Specific Boundary Conditions & Constraints
Loads, fixtures, symmetry conditions, material properties, and target mass are defined through a guided UI, aligned with engineering intent.
Topology Optimization
The optimization engine executes multiple FEA-driven iterations in the background, evolving material distribution based on defined objectives.
Evaluation of Optimized Results
Original and optimized geometries are compared side-by-side in the same APS viewer, enabling clear evaluation of performance gains.
Feasible Output exportation
Optimized geometry and a detailed engineering report are exported for downstream CAD remodelling or manufacturing validation.
Optimization Technology
BESO Algorithm
The platform is powered by the Bidirectional Evolutionary Structural Optimization (BESO) algorithm, which incrementally removes and adds material based on structural efficiency.
Iterative FEA-Driven Process
Each optimization cycle runs finite element analysis to evaluate stress, stiffness, and load paths, ensuring decisions are simulation-validated.
Material Evolution Strategy
Material is gradually redistributed across iterations until optimization objectives—such as target weight or stiffness—are achieved.
Load-Path-Driven Designs
The resulting geometries naturally follow load paths, producing structurally efficient designs rather than arbitrary organic shapes.
Outcomes and Benefits
Cost & Material Efficiency
- Significant material and volume reduction leading to direct cost savings
- Lower raw material usage and reduced manufacturing time
Performance & Manufacturability
- Weight optimization while maintaining stiffness and load-bearing performance
- Manufacturing-aware constraints for additive and subtractive processes
Actionable Engineering Outputs
- Side-by-side comparison of original and optimized designs in APS viewer
- Engineering reports with traceable objectives, constraints, and savings
Key Applications
Topology Optimization for Metal 3D Printing
Enables engineers to fully leverage additive manufacturing through lightweight, performance-driven geometries.
- Organic shapes not feasible with conventional machining
- Overhang and minimum thickness constraints for printability
- Reduced material usage and build time
- Ideal for aerospace, automotive, tooling, and high-performance brackets
Lightweighting of Machined & Cast Parts
Optimizes traditional components by removing excess material while preserving functional interfaces.
- Input-driven optimization for brackets, mounts, frames, and housings
- Designs remodelled for CNC machining or casting workflows
- Improved strength-to-weight ratios
Early-Stage Design Exploration
Supports rapid evaluation of multiple design concepts before detailed CAD modeling.
- Compare multiple optimized variants quickly
- Validate feasibility early in the design cycle
- Reduces downstream rework and over-engineering
Cost Reduction & Value Engineering
Drives systematic cost savings through material and performance optimization.
- Lower raw material consumption
- Improved performance per unit weight
- Faster iteration cycles for evaluating alternatives
Why Choose CCTech
APS-Native Web Platform
Deep customization of APS viewer and cloud workflows for secure, scalable, browser-based engineering solutions.
Engineering-First Optimization
Focus on real-world constraints, load cases, and manufacturability—not just theoretical optimization shapes.
Simulation-Driven Confidence
All optimization outcomes are validated through iterative FEA, ensuring engineering credibility.
Enterprise-Ready Architecture
Built for traceability, repeatability, and scalability across teams, projects, and programs.