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UG programming refers to the use of professional three-dimensional software UG/NX(UnigraphicsNX) developed by Siemens to compile the digital program of CNC machine tools. It provides digital modeling and verification means for users' product design and processing process, and provides mature solutions for users' virtual product design and process design needs.
Introduction to programming:
CNC machine tools can't run without programs. Professionals need to use professional software tools to program according to the shape of products. UG programming refers to the programming of CNC machine tools.
UG is the most advanced and tightly integrated CAID/CAD/CAE/CAM software system in the world, which provides a complete set of solutions from product design, analysis, simulation to NC program generation.
Software introduction:
UnigraphicsNX is a product engineering solution produced by SiemensPLMSoftware. It is a powerful interactive CAD/CAM (Computer Aided Design and Computer Aided Manufacturing) system, which can easily realize the construction of various complex entities and shapes. At the beginning of its birth, it was mainly based on workstations. However, with the development of PC hardware and the rapid growth of individual users, its application on PC has grown rapidly and has become the mainstream application of 3D design in mold industry.
The development of UG began in 1969, and was developed and implemented based on C language. UGNX is a flexible software tool for numerical solutions of partial differential equations developed by adaptive multigrid method on unstructured grids in two and three dimensions.
Effective simulation of a given process requires knowledge from application fields (natural science or engineering), mathematics (analysis and numerical mathematics) and computer science. However, all these technologies are not easy to use in complex applications.
This is because combining all these methods requires great complexity and interdisciplinary knowledge. In the past ten years, mathematicians have studied some very successful techniques for solving partial differential equations, especially adaptive grid encryption and multigrid method. At the same time, with the great progress of computer technology, especially the development of large parallel computers, many new possibilities have been brought.