In training, it is easy for teachers to know students' learning progress and learning difficulties, so that teachers can think of more suitable teaching methods more quickly, more pertinently and more completely. Students can also find their own learning methods from different teachers, so as to really learn the knowledge of plastic molds.
In addition, in the case of multiple pairs of 1, when students encounter corresponding knowledge difficulties, they can always find suitable teachers to consult, thus ensuring that students can quickly understand relevant knowledge points. In addition, the fees of 1 plastic mould training course are generally transparent, which can better protect the interests of students.
UG(Unigraphics NX) is a product engineering solution produced by Siemens PLM Software Company, which provides digital modeling and verification means for users' product design and processing.
Unigraphics NX provides a mature solution, which can meet users' requirements of virtual product design and process design, as well as meet various industrial needs. UG is also the abbreviation of user guide and Universal Grammar.
This is an interactive CAD/CAM (Computer Aided Design and Computer Aided Manufacturing System) with powerful functions, 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.