Oqton uses geometric and production data to automatically classify parts. General classifications such as dental, as well as sub-classifications such as dental crown, dental bridge, etc. are generated. AI is used to continuously refine classification accuracy.
Specialized lattices for medical and industrial applications are supported. Lattices are fully parametric and take into account material and machine resolution to generate parts that are production ready within the constraints of the target application.
Oqton has state-of-the-art topology optimization kernels built in. It may be invoked in the background by AI algorithms to produce the most optimal supports for additive, or interactively used for design explorations such as lightweighting.
Orientation and Support
AI is used to orient parts for best production results. Supports are automatically generated to minimize post processing and used material while avoiding critical surfaces. Both orientation and support recommendations can be overridden by user.
Automatic toolpaths are generated for both additive and subtractive production. Machine models, tools and materials are taken into consideration in the context of the design intent and specific application of the final part.
2D, 2.5D, 3D Nesting
State of the art dynamic nesting for additive, subtractive and hybrid processes are available in Oqton. Allowable clearances, layering, production dependencies, etc. are taken into account. Nesting is completely automated but may be overridden by user.
Leading edge process simulation for additive manufacturing is completely integrated into Oqton. It is used in the background to validate AI recommendations. Actual production results are also used to continuously refine simulation models.
Detailed cost model estimates are available for all manufacturing steps and materials. These models are available for customization by individual organizations. They are also continuously improved with AI learnings using actual production cost data.
Digital simulations of all production actions involved in making a part are available in Oqton and fully associated with the digital thread of every production order/part. These simulations help advise and produce more efficient future production actions.
An AI-based planning tool is fully integrated into Oqton. It is capable of scheduling across multiple production processes, machines and locations. It can recalibrate schedules dynamically depending on changes in real-time production and priority data.
Material Tracking Management
Complete material management is built into Oqton for both additive and subtractive manufacturing processes. This allows efficient material planning and enables full traceability of materials associated with production of specific parts.
Effective tool management is important for production cost and quality control. Oqton offers state-of-the-art tool management capabilities. For example, air-time and cutting time are recorded for cutting tools and appropriate actions are recommended based on specifications.
Different levels of production alerts may be set up and methods of communication fully customized. For example, if the level of oxygen rises above a certain level in the additive build chamber, a text message can be sent to certain specified individuals.
Advanced AI algorithms are used to monitor real-time and historical machine production to detect anomalies. These anomalies are highlighted and - at the extreme - production halted to help avoid further damage and improve future production.
Drag and drop
It is typical that multiple production processes are used to produce a single part. These dependencies are monitored and if one of these processes is delayed or aborted for any reason, appropriate individuals are informed and appropriate actions are advised.
IIoT platform with connectors to more than 5000 machine models are a fundamental component of Oqton. Their real-time and historical data may be encapsulated in custom reports to support the needs of the specific manufacturing organization.
Oqton allows the mixing of digital and physical data into fully customizable data widgets. For example, data showing all inspection data on parts produced on a particular machine run relative to sensor data from that machine.
Machine lasers, filters, cutting tools, etc. can be fully monitored and appropriate actions advised for replacement or maintenance are triggered when necessary. This data is associated with the particular machine and/or tool for further analysis.
At the core of Oqton is a digital thread that connects and maintains all production data to the original CAD model. Physical and digital relationships are dynamically updated as needed.
Understanding which material batch was used to make a certain part is often necessary to track part production history. Full material traceability is offered and may be combined with other processes as needed.
Information related to production runs and which parts were produced together is all available and easily retrievable. For example, batch traceability queries may be resolved starting from querying a part, machine, production date or location.
Determining whether a part meets the quality criteria is critical. Fully automated 3D tolerancing inspections are included and cover color, feature completeness, dimensional accuracy, planarity, cylindricity, etc.
Integrating with most CMM machines is simple and is usually done to achieve more manual control over inspections or to handle very large products when specialized measurements are required.
Real-time part identification is included with Oqton. Such identification can be as general or specific as needed up to associating the part with a customer order. It can also be connected with most robots to perform part sorting.
Meet customer requirements and drive operational effectiveness with integrated quality management and document control that is customizable.
Setup targeted production plan templates. Standardize operations and increase repeatability by defining resource models, customer data, production plans and work instructions.
Choose how to control changes with approval workflows, complete history tracking and revisions on any component to achieve compliance.