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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.

SPEED

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

EFFICIENCY

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

USABILITY

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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Find the Solution Right for You

Lean on our team of experts to guide which solution is right for you.

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genoa_3d

GENOA 3DP is an award wining software that offers unparalleled ability to model various additive manufacturing processes and materials across polymer and metal applications. Users can implement micro & macro voids into their process models resulting in virtual precision assembly. The end result is the ability to identify optimal build plan and parameter setting for a quality build in place of costly trial & error.

genoa_MS

GENOA Multi Scale Progressive Failure Analysis is a tested & verified simulation tool that augments traditional Finite Element solvers to predict behavior of advanced composite materials & structures subject to various loading conditions. The platform helps reduce the need for expensive physical experiments.

MCQs

MCQ (Material Characterization & Qualification) is the material modeling tool that enables ultra-rapid design and analysis of advanced composite materials, such as continuous & is continuous PMC, CMC and MMC. MCQ is analytically based and accountins for “as built” and “as-is” states taking into consideration manufacturing defects, and effect of uncertainties in material properties and specimen geometry.

UPCOMING EVENTS

Event

TIPE 2021

January 18-20, 2022

Virtual

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AMUG 2022

April 03-07, 2022

Chicago, IL

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Siemens Realize LIVE

May 09-12, 2022

Las Vegas, NV

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Rapid + TCT 2021

May 17-19, 2022

Detroit, MI

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ASTMICAM 2021

November

Orlando

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ASME Turbo 2022

June 13-17, 2022

Rotterdam, The Netherlands

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Space Tech Expo

May 23-25, 2022

Long Beach, CA


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America Makes: Platinum Member

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

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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

NAVAIR

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

Sung R. Choi

SOLVAY

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

RAYTHEON

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

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