A common mechanical failure in optical systems is inadequate stiffness in the supporting structure. Stiffness is crucial for maintaining alignment of the optical elements and achieving adequate performance. The mechanical engineer is responsible for providing adequate stiffness in the mechanical design.
Mastercam Announces New Add-On for Additive Manufacturing
Mastercam announced a new Add-On product, Mastercam APlus by CAMufacturing Solutions, designed for additive manufacturing. APlus can be used with Mastercam Mill, Lathe, or Router licenses.
3D Printed Bone Grafts To Be Approved For Patients In Europe
Recently, European regulatory bodies have allowed custom 3D printed bone grafts to be used for medical procedures. What challenges do implants present, what does the 3D printing technology do, and how does this help to lower the cost of medical procedures and equipment?
Amazon Web Services Recently Launched AWS IoT TwinMaker
Amazon Web Services (AWS) has announced AWS IoT TwinMaker, a new service that makes it faster and easier for developers to create digital twins of real-world systems like buildings, factories, industrial equipment, and production lines. Digital twins are virtual representations of physical systems that are regularly updated with real-world data to mimic the structure, state, and behaviour of the objects they represent.
AWS IoT TwinMaker makes it easy for developers to integrate data from multiple sources like equipment sensors, video cameras, and business applications, and combines that data to create a knowledge graph that models the real-world environment. With AWS IoT TwinMaker, many more customers can use digital twins to build applications that mirror real-world systems to improve operational efficiency and reduce downtime.
There are no up-front commitments or fees to use AWS IoT TwinMaker, and customers only pay for the AWS services used.
Industrial companies collect and process vast troves of data about their equipment and facilities from sources like equipment sensors, video cameras, and business applications such as enterprise resource planning systems or project management systems. Many customers want to combine these data sources to create a virtual representation of their physical systems (digital twin) to help them simulate and optimize operational performance.Building and managing digital twins is hard even for the most technically advanced organizations.
To build digital twins, customers must manually connect different types of data from diverse sources (e.g. time-series sensor data from equipment, video feeds from cameras, maintenance records from business applications, etc.). Then customers have to create a knowledge graph that provides common access to all the connected data and maps the relationships between the data sources to the physical environment. To complete the digital twin, customers have to build a 3D virtual representation of their physical systems (e.g. factories, equipment, production lines, etc.) and overlay the real-world data on to the 3D visualization.
Once they have a virtual representation of their real-world systems with real-time data, customers can build applications for plant operators and maintenance engineers that can leverage machine learning and analytics to extract business insights about the real-time operational performance of their physical systems. Because of the work required, the vast majority of organizations are unable to use digital twins to improve their operations. AWS IoT TwinMaker makes it significantly faster and easier to create digital twins of real-world systems. Using AWS IoT TwinMaker, developers can quickly get started building digital twins of devices, equipment, and processes by connecting AWS IoT TwinMaker to data sources like equipment sensors, video feeds, and business applications.
AWS IoT TwinMaker automatically creates a knowledge graph that combines and understands the relationships of the connected data sources, so it can update the digital twin with real-time information from the system being modelled. Customers can import existing 3D models (e.g. CAD and BIM files, point cloud scans, etc.), directly into AWS IoT TwinMaker to easily create 3D visualizations of the physical systems and overlay the data from the knowledge graph on to the 3D visualizations to create the digital twin. Once the digital twin has been created, developers can use an AWS IoT TwinMaker plugin for Amazon Managed Grafana to create a web-based application that displays the digital twin on the devices plant operators and maintenance engineers use to monitor and inspect facilities and industrial systems.
“Customers are excited about the opportunity to use digital twins to improve their operations and processes, but the work involved in creating a digital twin and custom applications for different use cases is complicated, expensive, and prohibitive for most,” said Michael MacKenzie, General Manager, AWS IoT. “AWS IoT TwinMaker includes the built-in capabilities most customers need for their digital twins, such as connecting to data across disparate sources, modeling physical environments, and visualization of data with spatial context. With today’s launch of AWS IoT TwinMaker, more customers can now have a holistic view of their industrial equipment, facilities, and processes to monitor and optimize all of their operations in real time.”
For more information: aws.com/iot-twinmaker
Source_https://metrology.news/iot-twinmaker-creates-digital-twins-of-factories-equipment-and-production-lines/
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Advancing Aerospace Manufacturing With CAD/CAM
CNC Software (Mastercam) explains how today’s CAD/CAM can help you succeed in the increasingly competitive aircraft component manufacturing space.
Guided Assembly and Assembly Verification Through Virtual Templating
As product size increases and part geometry grows more complex, it becomes harder to perform measurements and inspections accurately. In this article, Jim Cassady and Jutta Mayer of FARO Technologies discuss how portable 3D technology can help address such issues.
In the world of manufacturing, dimensional control is a fundamental building block that cannot be compromised. It determines part-to-part variation, establishes part-to-CAD comparison to check whether specs are met, and ensures proper fit in a final assembly. Beyond getting part geometries right, however, there are more important reasons for maintaining standards in accordance with design specifications.
Investing in precision equipment for measuring and aligning components helps ensure that everything fits the first time around without any unnecessary rework, saving time and other resources for a company. Further, more serious consequences such as equipment failure or production delays can be avoided when alignment, measurements, and inspections are conducted properly and at appropriate phases of production.
A ‘Greater’ Need for Precision
For industries such as aerospace, automotive, shipbuilding, heavy equipment manufacturing, and many others that handle large components and assemblies, measurement and alignment tasks are a considerable challenge in the overall production process. On the surface, these challenges may not seem too different from what most manufacturers typically encounter. Yet, the difficulties, as well as the consequences of missed specifications, are magnified manyfold owing to the size of the objects being built.
Manufacturers that handle large workpieces would candidly share that as product size increases and part geometry grows more complex, it becomes harder for them to perform measurements and inspections accurately. Conventional hand tools such as rules, gauges, calipers, micrometers, squares, and protractors are effective up to a point, but they are also demanding in terms of time and operator skill, often making them prone to human error.
Portable 3D Technology to the Rescue
Portable 3D coordinate measurement devices have long been the choice solution among manufacturers for large-volume measurement, as they combine accuracy with flexibility. Compared to conventional hand tools, portable 3D technology offers manufacturers a much higher level of precision, efficiency, and productivity all at once. Unlike fixed CMMs, these solutions require much less capital investment at the onset, and are robust enough to perform even in a non-controlled environment, such as right on the production floor, in a dry-dock or hangar.
Besides metrology grade measurement and inspection, however, there are additional ways in which 3D technology can support companies dealing with large assembly challenges. This is done through technical assistance systems for guided assembly and assembly verification based on virtual templating. These systems are based on the underlying philosophy that Quality Assurance starts with the assembly process, and they provide great support for layout and assembly workflows.
Using the 3D CAD model of a part or assembly, the technical assistance system creates a laser template, which is then used to visually project a laser outline of parts (or areas of interest) onto a surface or object. The result is a virtual and collaborative 3D template to streamline a wide range of assembly and production applications, guiding the user through the layout and assembly process. The system does so by providing clear instructions to users each step of the way, and by indicating the exact location for each component and feature.
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How to Make Sure That Tools and Moulds Build Perfect Parts
This article discusses how to guarantee that manufactured parts correspond to the production requirements. Article by Creaform.
At the beginning of a manufacturing process, a mould, die, or jig is engineered according to the theoretical CAD model. The aim of this tooling, made precisely from the nominal model, is to produce parts that correspond to the technical requirements. It turns out, however, that there are often differences between the theoretical model and the reality of an industrial environment. Different phenomena interfere with the tooling, causing problems and imperfections on the parts. Adjustments and iterations, therefore, are required to ensure that the tools and moulds, even if they correspond exactly to their nominal models, produce good parts that meet quality controls and customer demands.
Challenges: Non-Predictable Phenomena
The reality of an industrial environment differs from the theory illustrated in CAD models. During the manufacturing process, several phenomena that are difficult to predict can occur. Spring backs when stamping a die, shrinkage when building a mould made of composite material, or thermal forces when welding two elements together are all good examples of phenomena that impact tooling precision. Nevertheless, modelling the removal of a composite resin, the spring back of a die, the impact of a weld remains difficult, complex, and expensive.
Initially, the tooling is built according to the theoretical model, which is developed to create manufactured parts that meet the production requirements. But, in the reality of the industry, the aforementioned phenomena interfere with the moulded or stamped parts. As a result, the parts do not meet the technical demands and must be adjusted, corrected, and altered in order to pass the quality controls.
Starting with nominal models is, of course, a good first step, but let’s not forget that what manufacturers want is not so much a perfect tooling, but good parts that meet technical requirements and customer needs.
Solution: Iterative Process
When unpredictable phenomena alter manufactured parts, an iterative process of quality control starts. The most commonly used method is to work on the part before adjusting the tooling. More precisely, this method involves producing a part, measuring it, and analysing deviations between the part and the CAD model. Hence, if we notice that there are some missing (or extra) mms in one place, we will go to the corresponding surface on the mould, die, or jig in order to grind or add material. Thus, the iteration is performed on the tooling after measuring the manufactured part.
Once this operation completed, we restart the manufacturing process in order to produce a new part that will be measured to verify if there are any remaining deviations. This iterative process will continue on a loop until we obtain the desired part (i.e., when the manufactured part corresponds to its CAD model).
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Siemens Revolutionizes CAD Sketching With AI Technology
Siemens Digital Industries Software has launched a new solution for capturing concepts in 2D. The new NX Sketch software tool revolutionizes sketching in CAD, which is an essential part of the design process. By changing the underlying technology, users are now able to sketch without pre-defining parameters, design intent and relationships.
Using Artificial Intelligence (AI) to infer relationships on the fly, users can move away from a paper hand sketch and truly create concept designs within NX software. This technology offers significant flexibility in concept design sketching, and makes it easy to work with imported data, allowing rapid design iteration on legacy data, and to work with tens of thousands of curves within a single sketch. With these latest enhancements to NX, Siemens’ Xcelerator portfolio continues to bring together advanced technology, even within the core of modelling techniques, helping remove the traditional barriers users have experienced to dramatically improve productivity.
“The ability to make intelligent changes to 2D entities that one imports into the new sketcher is astounding,” said Steve Samuels, CEO of Design Visionaries Inc.
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Analysis has shown that in an average day or workflow, around 10% of a typical user’s day is spent sketching. In addition, within current design environments most concept sketching is happening outside of the CAD software due to the level of rules and relationships that must be decided on and built into the sketch by the user up front. Often designers in concept design stage do not necessarily know what the final product may be, which requires a sketching environment that is flexible and can evolve with the design. NX offers the flexibility of 2D paper concept design within the 3D CAD environment, as the first in the industry to eliminate upfront constraints on the design. Instead of defining and being limited by constraints such as size or relationships, NX can recognize tangents and other design relationships to adjust on the fly.
“Sketching is at the heart of CAD and is critical to capturing the intent of the digital twin,” said Bob Haubrock, Senior Vice President, Product Engineering Software at Siemens Digital Industries Software. “Even though this is an essential part of the process, sketching hasn’t changed much in the last 40 years. Using technology and innovations from multiple past acquisitions, Siemens is able to take a fresh look at this crucial design step and modernize it in a way that will help our customers achieve significant gains in productivity and innovation.”
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Hexagon: Time-Saving And Productivity Enhancements In Latest VISI
A raft of new and enhanced functionality features in VISI 2021 – the latest release of Hexagon’s specialist mould and die CAD/CAM software.
CAD:
CAD analysis benefits from a new function which improves the suite of analysis shading modes. Draft Analysis has been added to the existing Undercut and Accessibility shading, performing an on-the-fly analysis of the draft angle. This uses the same technique as in the undercut mode, but extended to more ranges. The colours and angular value of each range can be changed by simply clicking on the colours or numeric labels on the graphics toolbar.
Repair functions used in the Repair Invalid Faces of Bodies command are now integrated in the Validate command. It is now also possible to zoom in on any potential issues using the Auto Zoom function.
Developments to the CAD Reverse module enhance the Reverse and Casting processes. VISI Product Owner Marco Cattaneo explains that the scanning operation has been improved with the shaded view, giving better and faster feedback.
With Point Scanning, the shaded point cloud is now shown during the scanning operation, giving the operator an immediate view of what has been correctly scanned, and if anything is missing.
An additional option has been added to automatically create a mesh as a scanning result, which he says is particularly valuable when a quicker, rather than detailed, result is needed.
Enhancements to probing during the Reverse process now detect the correct diameter of the part in relation to the position of the probed points. A Circle/Slot probing feature has been added for probing and designing a circle or slot, giving several options to guarantee the probed element is the correct size and in the correct position.
MOULD – Body to Mould
Additional options to existing commands, along with new items of functionality, make part position management considerably easier.
With Body to Mould, there is a new option to select multiple elements, including solids and surfaces, and move the selected bodies to the mould position. During the part positioning, ‘non-uniform scaling values’ can now be defined by the user, and the system automatically sets the relative shrinkage data in a special Assembly Manager field (Bill of Materials).
With Mould to Body, the system allows multiple element to be selected, including solids and surfaces, and to move the complete mould back into Body position. “This will be valuable for operators using CMM to check tools in the body position. When they select the part to move back, they get an option to select multiple elements to go with the tool back to Body position,” says Marco Cattaneo.
PROGRESS – Part Unfolding
To provide a powerful and complete solution to this new unfolding approach, additional features have been included for flanges and non-linear bends. The Part Definition feature has been improved, giving better and faster part analysis, identifying the different face types, defining material, and setting linear bends unfolding. Different colours can be set, relating to different neutral fibre values, giving quick identification for unfolded linear bends and fibre value.
A new feature manages flange unfolding on the analysed part, and shows the result in preview mode, so the operator can evaluate the result and set different parameters, while preserving the link with the original part. This automatically recalculates the flanged part, meaning all linked parts can then be rebuilt in reference to a modification on the original.
CAM Simulation
An interface with Hexagon’s G-code simulator, NCSIMUL Advanced comes as a cost option in VISI 2021. Marco Cattaneo explains that NCSIMUL manages the complete machining process from the NC program to the machined part.
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Hypertherm Releases Version Update Of CAD/CAM nesting software: ProNest 2021
Hypertherm has released ProNest 2021, a major version update of its advanced CAD/CAM nesting software for automated cutting. This new release contains new features and enhancements designed to make customers more efficient and profitable. These features include:
- Redesigned 2D CAD package provides improved font support, ability to shape text, and other new features that are especially popular among sign makers.
- CAD editor preference users to set a default CAD program for edits to parts in the ProNest part list. Select the embedded ProNest CAD software or choose a third-party software such as AutoCAD.
- Part report quickly opened from the part list so users can add individual part reports with an image of the part, plus dimensions, size, material, class, process, costing information, and more.
- Interior bridge cutting to add bridges to text and other interior geometry so that pieces don’t drop when cut. This helps minimise interior cutouts on parts for aesthetic purposes and reduces tip-ups.
“ProNest 2021 builds on the strong foundation of ProNest 2019 to make the programming process more efficient,” said Tom Stillwell, Marketing Project Manager for Hypertherm CAD/CAM software products. “Whether using plasma, waterjet, laser, or oxyfuel cutting, this new version provides the powerful tools fabricators and manufacturers need to increase material savings, boost productivity, lower operating costs, and improve part quality.”
In addition, Hypertherm is releasing upgrades to its ProNest LT software for lighter production environments. Users with an active subscription, and customers with an active maintenance plan can upgrade to the new version of their respective product at no additional charge and continue to receive unlimited technical support, and other benefits.
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