- #Penn state learning factory printing rates manual
- #Penn state learning factory printing rates software
Software programs designed to bridge the worlds of CAD and 3D printing can take many shapes and forms. Additive manufacturing is very powerful, and it can make a lot of things due to its flexibility however, it also has its disadvantages. She concludes, “Large metal components, using traditional additive manufacturing, can take days and waste lots of materials by using support structures. Xiao has already stated plans to further develop the research to be applicable to industrial metal 3D printing systems, as her key application areas are aerospace and automotive. Automation can help with trying out a bunch of different scenarios very quickly before you create anything on the machine.” Joshi explains, “With an algorithm, you don’t really need the expertise from the user because it’s in the software. In these scenarios, the algorithm can inform the user as to how feasible their design is, allowing designers to make corrections and modify their geometries before committing to a print – further saving on costs. There will, of course, be geometries that are not printable without support structures. As each section is printed in the predetermined order, the build plate reorients itself to set up the next step in the sequence, in a process akin to building with Lego blocks. Through this decomposition process, the part’s geometry is broken down into individual blocks, whereby each block is printable on top of the previous one without any support structures. Xiao’s software works by determining a part’s individual sections and their orientations, which allows its algorithms to decide which portion of the component will be printed first and at what angle.
#Penn state learning factory printing rates manual
The idea of the software is to make five-axis AM fully automated without the need for manual work or re-designs of a product.” Joshi explains, “We want to automate the decision process for manufacturing designs to get to ‘push button additive manufacturing’. Xinyi Xiao cites time and cost savings as the primary motivation for the work, which she submitted as part of her doctoral program under the supervision of Sanjay Joshi, a professor of industrial engineering.
The program is driven by algorithms designed to automate the slicing process, leveraging the power of five axes and ensuring support free 3D printing. A duo of researchers from Pennsylvania State University have developed an automated process planning software specifically for five-axis additive manufacturing.
0 kommentar(er)
