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Powering Cutting-Edge Analysis
With Advanced Methodology + Accuracy

From structural design to 3D printing, AlphaSTAR’s comprehensive suite of simulation products and tools delivers on bottomline results.

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From structural design to 3D printing, AlphaSTAR’s comprehensive suite of simulation products and tools delivers on bottomline results.


Virtual qualification of advanced materials & structures to cut engineering time.


Improve ROI by reducing costly tests, material scrap rate, trial & error.


Easy to use and easy to learn.

Trusted by Businesses
Around the World

Enterprise operations to small businesses entrust AlphaSTAR

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An Award-Winning Industry Leader

Proven over 30 years, our best-in-class products combined with expertise in material science solves complex problems.

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GENOA 3DP Simulation is an additive manufacturing design tool and software suite that simulates the 3D printing process to accurately predict microstructure defects, part printability/macro voids, design of experiment and more manufacturing anomalies.

GENOA’s ability to assess damage and fracture initiation and evolution, integrate the damage and fracture mechanics, and determine percent damage contribution makes it a unique tool for advanced structural design.

MCQ material modeling software provides engineers with advanced tools to charaterize and qualify material properties as input for finite element analysis. MCQ discerns between as-designed, as-built, and as-is material.

America Makes: Platinum Member

AlphaSTAR is a committed and collaborative partner in additive manufacturing (AM) and 3D printing technology research, discovery, creation, and innovation.

Data collection

Total damage has been caused by the civilians arounf the new apple  store at Wall street.

Guaranteed ROI

Total damage has been caused by the civilians arounf the new apple  store at Wall street.

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Total damage has been caused by the civilians arounf the new apple  store at Wall street.

Hindustan Aeronautics Limited Bangalore, India

By using the GENOA Multi-Scale PFA software, we were able to gain valuable insight into damage and fatigue tolerance of the rotor craft.

Dr. R. Vijay Kumar


AlphaSTAR’s GENOA and MCQ have given us the edge in safely designing ceramic hot engine components subject to engine environments.

Sung R. Choi


With MCQ and GENOA, users have the freedom to use a reverse engineering approach to make material modeling decisions based on application usage and without anticipating the need to have raw data from material suppliers. The simplicity in calibration and ability to predict test results accurately without having to rely on part testing has never been so easy.

Bob Jovas

IRT Jules Verne

We needed software capable of analyzing the materials, modeling the AM process and accurately replicating composite SLS & FFF printing methods. With advanced features, such as analysis of temperature dependent material properties beyond glass transition temperature and the high compatibility with our numerical tools, we felt GENOA 3DP was the perfect fit.

R&D Simulation Engineer, Tuan Linh Nguyen


The prediction of thermal history, material state, and process maps, by GENOA 3DP TMg, are used to predict all important phenomena and regions are key components of successful builds. We found that knowing all of this information beforehand sets up for a successful final simulation with multi-objective optimization of the component and support structure to minimize mass and scrap rate while minimizing the pitfalls of AM

Alicia Leslie



TRX Webinar: Grain Boundary Engineering for Additive Manufacturing

Variability in mechanical properties of additively manufactured (AM) metal parts is a concern. AM metal exhibits cracks, low toughness, low plasticity, and high residual stress. Understanding microstructure evolution during the AM process is a precondition for optimization of AM process parameters. Metallic alloys consist of grains. Boundaries between grains are formed through recrystallization during fabrication and heat treatment. Grain boundaries influence mechanical properties. The current research explores grain boundary engineering (GBE) to generate desired microstructures in metal parts. One method is traditional heat treatment. A second method designs grain size and grain boundaries by altering process print parameters and injecting nanoparticles in specific regions during the process. Both approaches are supported by Integrated Computational Material Engineering to guide the AM process, predict thermal behavior, alter parameters and produce the part. Further, modeling is needed to predict effect of inclusions and effect of defects on mechanical properties. The results of both approaches are compared and improvements to the process suggested. The technology offers a new way to create AM polycrystalline alloys.

Presenter – Dr. Rashid Miraj  of AlphaSTAR

February 10, 2021

2:00 pm – 3:00 pm

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