Haddy scales AI-enabled, adaptative AM microfactories with Siemens Xcelerator platform
Adoption of a D&M digital thread and software-defined manufacturing will help Haddy further scale local production and use of circular materials like polymer composites for furniture, marine and defense.
Haddy has adopted the Siemens Xcelerator open digital business platform, to scale local additive manufacturing (AM) using circular materials across industries including furniture, marine and defense. Source (All Images) | Haddy Manufacturing
U.S.-based additive manufacturing (AM) company Haddy Manufacturing (St. Petersburg, Fla.) has adopted the Siemens Digital Industries Software (Plano, Texas, U.S.) Xcelerator open digital business platform, to scale local AM using circular materials across industries including furniture, marine and defense.
Read more about Haddy’s work in CW’s plant tour.
Founded around the idea that AM can support both local production and circular material use, Haddy produces large-format components using robotic AM processes and recyclable and biodegradable materials — including polymer composites made with recycled or biocompostable polymers reinforced with glass or carbon fiber, hemp or wood, or using its own collected production waste — that are then reprocessed into feedstock and returned to production. Materials are sourced domestically in the U.S. to help reduce transportation-related emissions while supporting local supply chains.
“Our goal is to keep materials in use and production close to where products are needed,” said Jay Rogers, CEO of Haddy. “Adopting Siemens Xcelerator helps us connect design, automation and manufacturing in a way that supports circularity, local sourcing and rapid iteration while using data and AI to continuously improve how we operate.”
Haddy delivers this model through a network of digitally standardized, AI-enabled microfactories. By producing closer to where products are needed and relying on data and software to maintain consistency across sites, the company aims to reduce supply chain complexity while supporting more resilient, low-waste production.
Haddy uses Siemens Xcelerator to connect product design, manufacturing planning and automation through a consistent digital thread.
To support this approach, Haddy uses Siemens Xcelerator to connect product design, manufacturing planning and automation through a consistent digital thread. Siemens’ Designcenter software is used to design large-format parts produced through AM and prepare those designs for robotic production. Teamcenter software manages product data and configuration across sites, while Sinumerik — Siemens’ CNC control platform primarily for machine tools — is used to provide high-precision motion control and execution on the shop floor, including the integration of industrial robots. In Haddy’s microfactories, Sinumerik orchestrates robotic AM systems, combining CNC-based path control with industrial robot kinematics, including CEAD’s (Delft, Netherlands) large-format robotic extrusion platforms.
As part of this adoption, Haddy is also expanding its use of Siemens’ software, as the company scales its distributed production model:
- It has adopted Simcenter Optistruct software to assist with product optimization and validation of its large-scale products.
- Alongside this, Haddy is leveraging NX X Manufacturing, a cloud‑enabled manufacturing solution, to define build strategies, support NC programming, simulation and execution of complex large‑format robotic AM processes.
Haddy also uses subtractive CNC machining as part of its production process using the same toolset providing advanced computer aided machining (CAM) part programming, simulation and verification capabilities.
NX X Manufacturing allows Haddy to produce parts from the size of a shoe box to an entire boat with precision and quality, while inherent cloud accessibility means Haddy can meet the needs of its rapidly expanding business with low IT overhead while using value-based licensing tokens to expand production with additional software capabilities.
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