Key Takeaways
- Great Lakes Semiconductor (GLS) has launched the inaugural Great American ChipForge project, the first “Innovation Funnel” effort to fast‑track university‑level prototypes into automotive‑grade production.
- Advanced Printed Electronic Solutions (APES) will supply 3‑D printed chip‑packaging via its Matrix6D system, enabling rapid integration of GLS silicon, FMC ferroelectric memory, and BlueDot sensor modules.
- The consortium includes five additional partners—Daikin, NEITAS, BlueDot Ventures, FMC, and AltaScient—covering HVAC, fab services, low‑power sensors, ferroelectric memory, and AI‑driven analytics.
- Matrix6D’s six‑axis additive manufacturing delivers 25 µm XY resolution, a 150 × 150 × 200 mm build envelope, and supports conductive, dielectric, and thermally conductive inks, cutting packaging lead time from weeks to days.
- The project targets AI‑enabled vehicle sensors, a market projected to reach $12 billion by 2030 (IDC).
Introduction: A New Chapter for 3‑D Printed Electronics
Earlier this year, GLS and APES announced a strategic alliance to co‑locate in Fishkill, NY, with the goal of accelerating semiconductor‑to‑sensor integration for the automotive sector. The partnership entered its execution phase in Q3 2024, when GLS officially opened the first Innovation Funnel project on its Great American ChipForge platform.
The Innovation Funnel Concept
What Is the Innovation Funnel?
GLS’s Innovation Funnel is a structured pathway that bridges the “Valley of Death” between academic proof‑of‑concept and volume manufacturing. It provides:
| Funnel Stage | Primary Goal | Typical Duration |
|---|---|---|
| Prototype Capture | Capture university‑level designs | 4–6 weeks |
| Design Validation | Verify electrical & mechanical performance | 2–3 weeks |
| Pilot Production | Small‑batch (10‑100 units) runs using 3‑D printed packaging | 1–2 weeks |
| Scale‑Up Transfer | Hand‑off to high‑volume fabs | 6–8 weeks |
Why 3‑D Printed Packaging Matters
Traditional lead‑frame or wafer‑level packaging relies on multi‑step lithography and metal stamping, often adding 4–6 weeks of lead time. APES’s Matrix6D replaces most of those steps with additive processes, delivering up to 70 % faster time‑to‑market.
APES Matrix6D vs. Conventional Packaging
| Feature | APES Matrix6D (Additive) | Conventional Lead‑Frame |
|---|---|---|
| Resolution | 25 µm XY, 10 µm Z | 50–80 µm (photolithography limited) |
| Build Volume | 150 × 150 × 200 mm | Fixed wafer size (200 mm/300 mm) |
| Materials | Conductive inks (Ag, Cu), dielectric polymers, thermally conductive composites | Cu/Al lead frames, epoxy molding compounds |
| Process Steps | 3 (print, cure, test) | 6–8 (die attach, wire‑bond, molding, curing, testing) |
| Lead Time | 3–5 days per batch | 21–35 days per batch |
| Cost per Unit (≤100 pcs) | $0.45–$0.70 | $1.20–$1.80 |
Sources: APES product datasheet (2024); GLS Innovation Funnel whitepaper (Q2 2024).
Project Scope: AI‑Enabled Vehicle Sensors
The inaugural ChipForge project focuses on AI‑driven perception sensors for next‑generation electric and autonomous vehicles. Key hardware components include:
- GLS silicon – 28 nm FinFET ASICs delivering up to 2 TOPS (tera‑operations per second).
- FMC ferroelectric memory – 1 Mb FeRAM with 10 ns write latency, ideal for low‑power edge AI.
- BlueDot low‑energy sensors – Radar/LiDAR modules consuming <150 mW per unit.
All components will be co‑packaged on a single APES‑printed substrate, enabling signal‑integrity improvements of up to 30 % and thermal resistance reduction from 150 °C/W to <80 °C/W compared with discrete packaging.
Partner Contributions
| Partner | Core Expertise | Expected Deliverable |
|---|---|---|
| Daikin | HVAC systems, large‑scale thermal management | Integrated heat‑sink designs for sensor modules |
| NEITAS | Agile fab services (≤12 inch) | Silicon wafer supply and post‑processing |
| BlueDot Ventures | Low‑power vehicle sensors | Radar/LiDAR sensor arrays |
| FMC | Ferroelectric memory | FeRAM chips for AI inference storage |
| AltaScient | Predictive analytics | AI models for sensor data fusion |
Benefits of the Co‑Location Model
By sharing a 30,000 sq ft clean‑room in Fishkill, the consortium reduces logistics overhead and enables real‑time design iteration. The Matrix6D printer sits adjacent to GLS’s wafer‑test stations, allowing immediate feedback loops that cut design‑to‑prototype cycles from 8 weeks to under 2 weeks.
Bottom Line
GLS’s Great American ChipForge, powered by APES’s Matrix6D 3‑D printing platform, marks a pivotal step toward fully integrated, AI‑ready automotive sensors. The collaboration not only slashes packaging lead times by up to 70 % but also creates a flexible, material‑agnostic workflow that can be re‑configured for future projects