CN113191014A - Fused deposition 3D printing molding layered slicing method - Google Patents

Fused deposition 3D printing molding layered slicing method Download PDF

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Publication number
CN113191014A
CN113191014A CN202110547856.0A CN202110547856A CN113191014A CN 113191014 A CN113191014 A CN 113191014A CN 202110547856 A CN202110547856 A CN 202110547856A CN 113191014 A CN113191014 A CN 113191014A
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printing
stress
model
stl
region
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吕宁
欧阳雪峰
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Harbin University of Science and Technology
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Harbin University of Science and Technology
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    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F30/00Computer-aided design [CAD]
    • G06F30/20Design optimisation, verification or simulation
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F2113/00Details relating to the application field
    • G06F2113/10Additive manufacturing, e.g. 3D printing
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F2119/00Details relating to the type or aim of the analysis or the optimisation
    • G06F2119/02Reliability analysis or reliability optimisation; Failure analysis, e.g. worst case scenario performance, failure mode and effects analysis [FMEA]

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  • Physics & Mathematics (AREA)
  • Theoretical Computer Science (AREA)
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Abstract

The invention discloses a fused deposition 3D printing molding layered slicing method, and relates to the technical field of 3D printing; the method comprises the following steps: the method comprises the following steps: optimizing and modeling an STL data model; step two: 3D printing slice self-adaptive layering algorithm; step three: 3D printing path planning optimization algorithm: firstly, carrying out stress analysis on a model, judging the stress condition of each region, then carrying out filling path planning according to the stress condition of each part, increasing the filling density in the region with large stress, and reducing the filling density in the region with small stress so as to achieve the effect of uniform stress, and finally planning the path and reducing idle path; the invention effectively solves the problem of step effect on the surface of the part by adopting self-adaptive layering, and carries out path planning work on each layer after slicing, thereby ensuring that step errors on a printed piece are uniformly distributed and reducing the step errors; the printing precision is effectively improved, and the effect of uniform stress can be achieved.

Description

Fused deposition 3D printing molding layered slicing method
Technical Field
The invention belongs to the technical field of 3D printing, and particularly relates to a fused deposition 3D printing molding layered slicing method.
Background
With the progress and development of society, the demands of people on products become diversified and individualized, the demands of people cannot be met by depending on a single production mode in the past, and the problem is perfectly solved by the appearance of a 3D printing technology. 3D printing is one of the rapid prototyping technologies, also known as additive manufacturing, and is a technology that uses bondable materials, such as powdered metals or plastics, to build objects by layer-by-layer printing. At present, the 3D printing technology is popularized in various industries, including military, aviation, industry, architecture, medicine, education and scientific research and other fields.
3D printing still has many shortcomings, wherein the most important two aspects are that the precision of a product is a problem, the precision of a 3D printed product is always to be optimized, and how to eliminate the step effect is a current research hotspot problem; the second is the strength problem of the finished piece, and considering the problems that the existing finished pieces are filled in a uniform filling mode and the stress of each part is not uniform, a non-uniform filling mode is designed, so that the filling density of the part with large stress is increased, the filling density of the part with small stress is reduced, and the problem is a hot spot of current research.
Disclosure of Invention
The problem of the existing 3D printing is solved; the invention aims to provide a fused deposition 3D printing molding layered slicing method.
The invention discloses a fused deposition 3D printing molding layered slicing method, which comprises the following steps:
the method comprises the following steps: and (3) optimizing and modeling an STL data model:
selecting an STL model storage mode, performing redundancy removal work on STL file data, and then performing topology reconstruction on the STL model;
step two: 3D printing slice self-adaptive layering algorithm:
firstly, analyzing an STL printing model, designing a multi-objective optimization self-adaptive layering algorithm to determine the printing thickness of a current layer, and then establishing a mathematical model among extrusion head extrusion capacity, layer thickness and printing speed;
step three: 3D printing path planning optimization algorithm:
firstly, carrying out stress analysis on the model, judging the stress condition of each region, then carrying out filling path planning according to the stress condition of each part, increasing the filling density in the region with large stress, and reducing the filling density in the region with small stress so as to achieve the effect of uniform stress, and finally planning the path and reducing the idle path.
Compared with the prior art, the invention has the beneficial effects that:
firstly, effectively solving the problem of step effect on the surface of a part by adopting self-adaptive layering, and carrying out path planning work on each sliced layer to ensure that step errors on a printed piece are uniformly distributed and reduce the step errors;
secondly, the printing precision is effectively improved, and the effect of uniform stress can be achieved.
Drawings
For ease of illustration, the invention is described in detail by the following detailed description and the accompanying drawings.
FIG. 1 is a flow chart of the present invention.
Detailed Description
In order that the objects, aspects and advantages of the invention will become more apparent, the invention will be described by way of example only, and in connection with the accompanying drawings. It is to be understood that such description is merely illustrative and not intended to limit the scope of the present invention. The structure, proportion, size and the like shown in the drawings are only used for matching with the content disclosed in the specification, so that the person skilled in the art can understand and read the description, and the description is not used for limiting the limit condition of the implementation of the invention, so the method has no technical essence, and any structural modification, proportion relation change or size adjustment still falls within the range covered by the technical content disclosed by the invention without affecting the effect and the achievable purpose of the invention. Moreover, in the following description, descriptions of well-known structures and techniques are omitted so as to not unnecessarily obscure the concepts of the present invention.
It should be noted that, in order to avoid obscuring the present invention with unnecessary details, only the structures and/or processing steps closely related to the scheme according to the present invention are shown in the drawings, and other details not so relevant to the present invention are omitted.
As shown in fig. 1, the following technical solutions are adopted in the present embodiment: the method comprises the following steps:
the method comprises the following steps: and (3) optimizing and modeling an STL data model:
analyzing the data structure of the STL model, looking up related data, selecting a proper STL model storage mode, performing redundancy removal on STL file data, and performing topology reconstruction on the STL model, thereby achieving the purpose of accelerating the file transmission speed.
The 3D printer can accept a variety of model file formats, such as STL, OBJ, etc., of which STL files are most widely used, and have two formats, binary and ASCII code. However, the transmission speed is influenced by too much redundancy information of the STL file, the redundancy file in the STL file is deleted to solve the problem that the STL file has too much redundancy information, and then the topology reconstruction work is carried out on the model to accelerate the file transmission speed and the slicing speed of the self-adaptive hierarchical work.
Step two: 3D printing slice self-adaptive layering algorithm:
the traditional layering is to uniformly print each layer of a printed product according to a fixed layer thickness, and the self-adaptive layering is to change the printing thickness of each layer according to a certain evaluation index. Firstly, analyzing an STL printing model, designing a multi-objective optimization self-adaptive layering algorithm to determine the printing thickness of the current layer (the printing thickness is within a certain range), and then establishing a mathematical model among the extrusion amount of an extrusion head, the layer thickness and the printing speed to prevent the forming problems such as collapse and the like in the printing process, thereby realizing self-adaptive layering.
In a general 3D printing process, the printing direction is along the Z-axis direction, and the three-dimensional object is formed by stacking layers by layers according to a certain thickness. The method is characterized in that a multi-objective optimization self-adaptive layering algorithm is designed for improving the model forming precision and the printing efficiency, and on the basis of mathematical modeling and analysis of the extrusion head extrusion amount, the layer thickness and the printing speed, the parts are sliced according to different thicknesses according to different precision requirements of all parts of the printed parts. On the premise of ensuring higher forming quality, the printing efficiency is improved, and the effectiveness of the algorithm is verified by an experimental method.
Step three: 3D printing path planning optimization algorithm:
the method comprises the steps of firstly carrying out stress analysis on a model, judging the stress condition of each area, then carrying out filling path planning according to the stress condition of each part, increasing the filling density in the area with large stress, reducing the filling density in the area with small stress so as to achieve the effect of uniform stress, and finally planning the path, reducing idle path and improving printing efficiency.
In the 3D printing process, path planning is an important link in the additive manufacturing process, and plays a vital role in the quality of printing and the printing manufacturing time by controlling the motion track of the printing head.
After the layering work is carried out, path planning needs to be carried out on the model, the existing filling path planning is mostly uniform filling, but the situation that the workpiece is not uniformly stressed can be found when the strength of the workpiece is analyzed, a novel filling algorithm is designed by considering that the design is carried out, the filling density is increased at the part with large stress, the filling density is reduced at the part with small stress, and the stress condition of the workpiece tends to be uniform.
It will be evident to those skilled in the art that the invention is not limited to the details of the foregoing illustrative embodiments, and that the present invention may be embodied in other specific forms without departing from the spirit or essential attributes thereof. The present embodiments are therefore to be considered in all respects as illustrative and not restrictive, the scope of the invention being indicated by the appended claims rather than by the foregoing description, and all changes which come within the meaning and range of equivalency of the claims are therefore intended to be embraced therein.
Furthermore, it should be understood that although the present description refers to embodiments, not every embodiment may contain only a single embodiment, and such description is for clarity only, and those skilled in the art should integrate the description, and the embodiments may be combined as appropriate to form other embodiments understood by those skilled in the art.

Claims (1)

1. A fused deposition 3D printing molding layered slicing method is characterized in that: the method comprises the following steps:
the method comprises the following steps: and (3) optimizing and modeling an STL data model:
selecting an STL model storage mode, performing redundancy removal work on STL file data, and then performing topology reconstruction on the STL model;
step two: 3D printing slice self-adaptive layering algorithm:
firstly, analyzing an STL printing model, designing a multi-objective optimization self-adaptive layering algorithm to determine the printing thickness of a current layer, and then establishing a mathematical model among extrusion head extrusion capacity, layer thickness and printing speed;
step three: 3D printing path planning optimization algorithm:
firstly, carrying out stress analysis on the model, judging the stress condition of each region, then carrying out filling path planning according to the stress condition of each part, increasing the filling density in the region with large stress, and reducing the filling density in the region with small stress so as to achieve the effect of uniform stress, and finally planning the path and reducing the idle path.
CN202110547856.0A 2021-05-19 2021-05-19 Fused deposition 3D printing molding layered slicing method Pending CN113191014A (en)

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Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN105711094A (en) * 2016-03-15 2016-06-29 东华大学 Three-dimensional printing method
CN107901423A (en) * 2017-12-11 2018-04-13 杭州捷诺飞生物科技股份有限公司 The 3D printing method of heterogeneous filler
CN108712959A (en) * 2015-12-23 2018-10-26 Mcor技术有限公司 Colored 3D printing equipment and corresponding colored 3D printing method
CN109822909A (en) * 2019-03-28 2019-05-31 哈尔滨理工大学 A kind of FDM3D printer optimization algorithm
CN110126279A (en) * 2019-05-07 2019-08-16 西安交通大学 It is a kind of to cut layer and paths planning method with the shape towards curved surface 3D printing

Patent Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN108712959A (en) * 2015-12-23 2018-10-26 Mcor技术有限公司 Colored 3D printing equipment and corresponding colored 3D printing method
CN105711094A (en) * 2016-03-15 2016-06-29 东华大学 Three-dimensional printing method
CN107901423A (en) * 2017-12-11 2018-04-13 杭州捷诺飞生物科技股份有限公司 The 3D printing method of heterogeneous filler
CN109822909A (en) * 2019-03-28 2019-05-31 哈尔滨理工大学 A kind of FDM3D printer optimization algorithm
CN110126279A (en) * 2019-05-07 2019-08-16 西安交通大学 It is a kind of to cut layer and paths planning method with the shape towards curved surface 3D printing

Non-Patent Citations (1)

* Cited by examiner, † Cited by third party
Title
雷聪蕊 等: "3D打印模型切片及路径规划研究综述", 《计算机工程与应用》 *

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Application publication date: 20210730