Rule definition method for product data format of random hollowed-out structure
A technology of hollow structure and product data, which is applied in image data processing, electrical digital data processing, special data processing applications, etc. It can solve the problems that the internal information description of products with hollow structure cannot be randomly described, so as to save data storage space and simplify the definition method Effect
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[0029] Such as figure 1 The product data format definition method of a random hollow structure shown is as follows:
[0030] (1) Define the surface model of the random hollow structure, figure 1 The sdf tag defines the boundary of the product as a ring with an inner diameter of 4 and an outer diameter of 10. The lambda defines an anonymous function that performs a Boolean difference between a circle with a radius of 10 and a circle with a radius of 4, thus defining a product model whose boundary is a ring structure. The basic form of the lambda operator is lambda x:body. Here you can regard x as the input parameter of a function, and body as the return value of this function. However, unlike functions in ordinary programming languages, x can be an ordinary value variable, a function, or a type, so the lambda operator can be used in the data format. Complex product boundaries can be formed by combining Boolean operations on basic elements such as circles, rectangles, sphere...
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