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Aerosol Jet Printing Technology
Ultrasonic Atomization Powder-Production Technology
Electronics Materials and Energy Storage MORE >JACS: Micrometer-Level Precision—Aerosol Jet Printing Enables Controlled Patterning and Compositing of COF Thin Films “Adv. Funct. Mater.”: MXene Microsupercapacitors Fabricated via Aerosol Jet Printing for Flexible, Washable Textile Energy Storage “Small”: MXene 3D-AJP—Realizing a Three-Dimensional, Oriented, Free-Form Network of Two-Dimensional MXene Nanosheets via Aerosol 3D PrintingSensor and Internet of Things Field MORE >Small Methods: High-Performance MXene Microsupercapacitor Fabrication Technology Based on Aerosol Jet Printing Small Methods: A Low Environmental Footprint, Non-Sensitive Disposable Humidity and Temperature Sensor Fabricated via Aerosol Jet Printing on Cellulose Substrates npj Advanced Manufacturing: Aerosol Jet Printing Empowers All-Bio-Based Humidity Sensors to Tackle the Challenge of Electronic Waste
AdditiveLab RESEARCH Metal Simulation Software
Multi-scale, full-domain simulation, spanning from the microscale to the entire build area, and compatible with both laser powder bed fusion and DED additive manufacturing processes.
Supports customized modeling, enabling the creation of proprietary simulation applications and automated workflows, with cross-platform distribution.
The powder-bed module can accurately predict deformation, generate compensation‑deformation models, and perform multi‑dimensional thermal–mechanical analyses.
The DED module is compatible with a variety of metal deposition processes, significantly reducing the number of trial-and-error tests.
Open Python API, fully functional and callable, supporting advanced automation and parameter optimization.
Product Introduction
AdditiveLab RESEARCH is an innovative software solution designed to create custom models for simulating additive manufacturing processes. It enables users to perform process simulations ranging from the microscale—such as scan paths—to the entire build volume, helping to predict and optimize manufacturing outcomes. Specifically, the software is tailored for laser powder bed fusion and directed energy deposition processes. With AdditiveLab 3D printing simulation, users can develop their own simulation applications and automated workflows, and distribute them to design teams, manufacturing departments, testing laboratories, and customers.
AdditiveLab RESEARCH’s powder-bed additive manufacturing module offers a robust process-simulation solution. This versatile software enables users to predict deformation, generate correction‑deformation models, and evaluate stress, strain, and thermal histories through a suite of mechanical and thermomechanical analyses. Advanced scan‑path simulation helps elucidate melt‑pool formation, facilitating the optimization of machine parameters and laser settings. Moreover, all functionalities are accessible via the AdditiveLab Python API, empowering advanced users to automate workflows and refine processes.
AdditiveLab RESEARCH DED module enables engineers to perform additive manufacturing process simulations for technologies produced via wire- or powder-fed direct metal deposition processes, including DMD, DED, WAAM, and LMD. The AdditiveLab RESEARCH DED software for 3D printing simulation helps reduce the number of trial-and-error tests by providing simulation capabilities that can predict the potential manufacturing outcomes of DED processes.
Equipment Parameters
AdditiveLab RESEARCH Metal Powder Bed Fusion Process Simulation
1. AdditiveLab RESEARCH delivers mechanical simulation through a user-friendly interface and a highly automated model‑building process, streamlining advanced AM simulation workflows to be completed in just a few clicks.
The simulation results from AdditiveLab can quickly identify critical areas: regions with significant deformation, localized stress concentrations, tool‑contact impacts, crack formation, and excessive temperatures.
2. AdditiveLab RESEARCH enables simulation engineers to perform AM process simulations, spanning from the microscale to the full build‑configuration scale. It supports a variety of simulation modules, including coupled thermal and thermomechanical analyses at both the part and scan‑path levels. Thanks to its multi‑core CPU‑acceleration technology, the overall execution time is significantly reduced.
The fully integrated Python API provides users with complete access to the full range of simulation features and capabilities, enabling them to define their own scripts for automation and innovation.
Download Materials
This paper presents a recent research achievement: powder production using the rePowder ultrasonic atomization system from AMAZEMET. Through systematic design and microstructural control, an innovative aluminum alloy has been successfully developed, exhibiting high strength, excellent ductility, and superior high-temperature resistance, thereby opening up new prospects for enhancing the performance of aluminum alloys in additive manufacturing.
With the continuous advancement of materials science, the demand for high-performance alloys with superior corrosion resistance and wear resistance is steadily increasing. Particularly in industries such as aerospace, energy, and electronics, the performance requirements for coating materials are constantly rising. Traditional preparation methods—such as powder metallurgy and mechanical milling—are increasingly unable to meet the needs for precise control and functionalization of complex materials. Against this backdrop, ultrasonic atomization, a green and highly efficient powder‑production technology, has emerged as a cutting‑edge approach and is rapidly becoming a focal point in the research and development of advanced materials.
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