For more than 40 years, Thermo-Calc Software has been at the forefront of scientific software and databases for calculations involving thermodynamics, phase equilibria, and diffusion-controlled transformations.
Data from these calculations can help you improve your products, optimize processing conditions, decrease time to market, reduce dependence on experiments, and gain a deeper understanding of your materials.
Generate Accurate Computational Materials Data
With Thermo-Calc, users have access to a rich dataset and the tools necessary to extrapolate into the specific composition and processing or operating window of interest on-demand. Users can generate data such as thermophysical properties, segregation behavior, nucleation and precipitation behavior, and use this data to augment their understanding of a material. This is far superior to the traditional methods many rely on of using nominal or average compositions to make assumptions about a class of material or scouring the web and searching for papers that contain specific information for a specific material composition or chemistry only to find, in most cases, that it doesn’t exist. Using computational materials science, Thermo-Calc allows you to generate accurate, reliable materials data when you need it.
Accelerate Time to Market
The data generated from Thermo-Calc can greatly reduce the number of experiments required to bring a new or improved product to market. For example, Thermo-Calc can assist in pre-screening test conditions, enabling you to better target your experiments to get the data you need. By narrowing your parameters and reducing the number of experiments, you can greatly improve time to market.
If you work in a segment of manufacturing where the demand on quality and certification is especially high, carefully constructed test and approval routines are necessary. Thermo-Calc can give you starting points and indications on what is, or is not, worth pursuing. This can greatly improve time to market.
Read an example in which the Steel Model Library is used to find the optimal composition of a steel to achieve high hardenability.
Decreasing the number of experiments dramatically reduces the cost of designing and optimizing materials. But cost savings go far beyond experiments. Thermo-Calc can also be used to optimize processing conditions, saving you money on wasted materials, unsuccessful runs, and more.
Read an example in which the Property Model Calculator is used to find the optimal composition for a titanium-based alloy to be used for additive manufacturing applications.
Thermo-Calc is used extensively in manufacturing to understand how changes in processing conditions affect the final results of your product. By understanding the alloys and how their phase make-up depends on temperature, you can improve the properties of your material or understand why things go wrong in production. Slight adjustments in alloys or process parameters can greatly improve the quality of your final product.
Read an example showing how Thermo-Calc and the Diffusion Module (DICTRA) were used to investigate microsegregation during solidification of a continuously cast steel.
Thermo-Calc is also helpful when analyzing breaks in production chains. Thermodynamic calculations help to identify why, where, and when the break occurs. An example of this is a manufacturer who develops gearboxes for the car industry. Gearboxes use different kinds of steel, all with specific requirements. A manufacturer must know how the cogwheels will react and sustain. When a manufacturer orders steel from a supplier, it is often the case that they will not get the exact alloy, since steel seldom comes in the exact composition. With Thermo-Calc calculations, it is possible to identify the small range of precise chemical components needed to get the steel for cogwheels perfect for the required quality.
The same applies for manufacturers using or developing nickel superalloys, aluminum alloys, and other light metals such as titanium alloys and copper alloys.
Improve Environmental and Ethical Conditions
Many alloys include elements that are crucial for product performance, but have detrimental effects on the environment and health and well-being of those who interact with the materials. Computational materials science can be used to investigate alternative compositions that can reduce or eliminate harmful materials. Read a publication in which Thermo-Calc was used to investigate the substitution of cobalt and another in which Thermo-Calc was used to advance the search for Pb-free solder designs.
In choosing Thermo-Calc, you are not just gaining access to the scientific experience of the company, but you are joining a worldwide user community of top material researchers. Our databases are continually developed in the true CALPHAD spirit in close collaboration with universities and industrial partners. Together with new models and functionality, the theories and results are frequently published in various journals, hence being validated by the greater scientific community to ensure our high standards of quality.
Thermo-Calc has been cited over 33,000 times in peer-reviewed publications, not by us, but by scientists and researchers using our software. With Thermo-Calc, you can rest assured that you’re getting the most accurate predictive materials data available.
With the expandable software platform and over 40 databases, Thermo-Calc offers the most extensive suite of tools for predicting and understanding the properties of materials available on the market, all in one convenient platform. Other programs on the market offer some of the calculation types we provide, or a limited selection of databases, but none combine the range of calculation types with the depth of databases we offer, all in one convenient platform.
Nearly two-thirds of our staff have PhDs in a relevant field, so we understand your complex needs and the challenges you face. We employ a highly-skilled, dedicated support team to ensure that users receive the advanced technical support required for this type of software.
In annual surveys, our users consistently report being highly satisfied with both the technical and non-technical customer support they receive.
The Thermo-Calc platform and Add-on Modules are continually developed, with close links to on-going fundamental academic, and applied industrial research, to meet the growing needs of our academic and industrial users. Our software is on a two-times per year release schedule, so users can expect continuous improvements and new features and functionality.
Our databases are also continuously under development by our team of highly-specialized database developers, often in close collaboration with universities and industry partners, ensuring that our predictions are derived from the most recent experimental and theoretical data available.
Analytical cookies are used to understand how visitors interact with the website. These cookies help provide information on metrics the number of visitors, bounce rate, traffic source, etc.
HubSpot sets this cookie to keep track of sessions and to determine if HubSpot should increment the session number and timestamps in the __hstc cookie.
This cookie is set by Hubspot whenever it changes the session cookie. The __hssrc cookie set to 1 indicates that the user has restarted the browser, and if the cookie does not exist, it is assumed to be a new session.
5 months 27 days
This is the main cookie set by Hubspot, for tracking visitors. It contains the domain, initial timestamp (first visit), last timestamp (last visit), current timestamp (this visit), and session number (increments for each subsequent session).
The _ga cookie, installed by Google Analytics, calculates visitor, session and campaign data and also keeps track of site usage for the site's analytics report. The cookie stores information anonymously and assigns a randomly generated number to recognize unique visitors.
This cookie is installed by Google Analytics.
A variation of the _gat cookie set by Google Analytics and Google Tag Manager to allow website owners to track visitor behaviour and measure site performance. The pattern element in the name contains the unique identity number of the account or website it relates to.
Installed by Google Analytics, _gid cookie stores information on how visitors use a website, while also creating an analytics report of the website's performance. Some of the data that are collected include the number of visitors, their source, and the pages they visit anonymously.
Linkedin set this cookie to store information about the time a sync took place with the lms_analytics cookie.
YouTube sets this cookie via embedded youtube-videos and registers anonymous statistical data.
5 months 27 days
HubSpot sets this cookie to keep track of the visitors to the website. This cookie is passed to HubSpot on form submission and used when deduplicating contacts.
Wistia sets this cookie to collect data on visitor interaction with the website's video-content, to make the website's video-content more relevant for the visitor.