February, 2020
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Handheld, Real-Time Materials Analysis on the Shop Floor
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increase efficiency, knowledge and productivity. Insituware’s hardware device technology is de- signed to be used as a partner with materials-spe- cific Insituware apps, allowing users to see and use customizable results to better monitor and control materials. The Insituware apps, combined with Vision
MARK-1, are infused with smart in situ technolo- gy that integrates statistical process control analysis methods (MethodQC) and machine learning, in a cloud environment.
Insitucloud The Insitucloud with MethodQC expands the
reach of an Insituware device by pro- viding access to a repository of mate- rials data. With the Insitucloud, users can rapidly identify unknown material degradation or failure. The Insitucloud continuously improves to provide users with state-of-the-art materials knowledge and predictive models to make informed decisions. Insituware’s focus is to build plat-
forms, not just products, making it so- lutions-focused as opposed to sensors- focused. It accomplishes this goal by measuring materials during use to en- able rapid decision making. Measure- ments in situ provide numerous bene- fits over lab measurements. While measurements in a lab
are accurate, they also are expensive and slow, requiring trained lab tech- nicians and costly equipment, as well as the time to ship materials to the lab facility. Benefits of measuring materials while in use proves to be: effective, enabling users to make de- cisions quickly; inexpensive, as high- ly integrated analytical sensors can be deployed at scale; and quick, since automated interpretations are gener- ated using machine learning. Insituware team members make
it a priority to help customers meas- ure in situ. First, they use the latest generation of integrated, miniatur- ized analytical sensors. Next, they perform data science and machine learning techniques to compensate for the in-field sensor outputs. This helps customers replace a trained technician with automated software. Finally, they connect all sensors
to a centralized cloud backend to en- able big data analyses. This gathers and stores sensor data to continually improve the system. “It is important to be solutions-
focused, rather than sensor-focused. Many IoT companies start at the sen- sor and try to find use cases,” says Tafuna. “We start at the problem and find the best sensors to solve it.” Starting with the sensor and at-
tempting to create relevant applica- tions can result in companies that are siloed and force a solution to a prob- lem. Tafuna adds that innovative solu- tions are created when designing prod- ucts with an in-depth understanding of the material being measured.
Range of Materials A range of materials can be
measured, making Insituware a vi- able, important solution over a vari- ety of industries, including:
l Metals. Insituware measures the
presence of oxides on the surface of metals and associated reactions be- tween these oxides and other materi- als. Understanding metals’ surface ox- ide properties is critical in surface preparation, processing and soldering.
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The Vision product family enables rapid and intelligent measurements in the factory,
while trending and tracking the collected da- ta from any computer with internet access.
The presence of oxides and reaction products on certain metals provide an indication of an environ- mental corrosion process occurring.
l Polymers. Insituware detects the consistency of
a post-cured polymer, measures the cure state of polymers, and predicts post-cure behavior of poly- mers, while in the pre-cure state. Understanding the consistency and cure state of polymers helps to reveal their mechanical and hygroscopic prop- erties. Being able to predict the post-cure state of a polymer prior to use can save significant cost in processing materials and repair.
l Biomaterial. Athletes are continuously driving
for peak physical performance that only comes through years of conditioning and overload train-
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