Monthly Archives: November 2016

PLM – CAD-Centric or Process focused?

When we talk with customers that may have a need to enhance their PLM technology or methods, there are commonly two different schools of thought regarding the subject.  Generally companies start the conversation with one of two different focuses: either CAD-focused or process-focused. CAD-centric companies are the ones who rely heavily on design and engineering work to support their business. 

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Simcenter from Siemens – A leap forward for Simulation

Predictive Engineering Analytics is a must in current product design and is required to integrate all the multi disciplinary inputs present in today’s complicated products. In the words of Siemens: “Predictive Engineering Analytics (PEA) is the application of multi-discipline simulation and test, combined with intelligent reporting and data analytics, to develop digital twins that can predict the behavior of products across all performance attributes, throughout

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Additive Manufacturing Pt 1: What is Stereolithography?

With all the buzz about Additive Manufacturing, or 3D Printing, in the manufacturing world today, there is a lot of mystery and confusion surrounding the common practices and techniques. So, this week’s blog post will address a common type of 3D printing known as Stereolithography. But first, What is Additive Manufacturing? Additive manufacturing is the process of creating a part by laying

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New Way of Managing Teamcenter Administrative Data

Managing and tracking Teamcenter administrative data across multiple environments was never easy. Companies have relied on a wide variety of solutions for this – from manual process-based solutions like cheat sheets to automated custom build scripts to wrap numerous Siemens administrative utilities together. Some companies had a great deal of success in establishing a corporate standard Teamcenter environment from scratch

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Quick tip: Sometimes CAD is the beginning of PLM

Sometimes CAD can be used to start establishing PLM practices. Since PLM systems rely on data to be effective, ensuring consistent and correctly-entered information is paramount. Things like classification with properties and meta-data can rely on CAD very heavily to be effectively used. For example, let’s consider the classification and data for a machined part. If the part is going

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