CN112115635B - 一种基于深度学习的注塑工艺优化方法 - Google Patents
一种基于深度学习的注塑工艺优化方法 Download PDFInfo
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- CN112115635B CN112115635B CN202010748281.4A CN202010748281A CN112115635B CN 112115635 B CN112115635 B CN 112115635B CN 202010748281 A CN202010748281 A CN 202010748281A CN 112115635 B CN112115635 B CN 112115635B
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- injection molding
- molding process
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- deep learning
- parameters
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- 238000001746 injection moulding Methods 0.000 title claims abstract description 83
- 238000005457 optimization Methods 0.000 title claims abstract description 26
- 238000013135 deep learning Methods 0.000 title claims abstract description 18
- 238000000034 method Methods 0.000 title claims abstract description 15
- 238000004088 simulation Methods 0.000 claims abstract description 19
- 238000012360 testing method Methods 0.000 claims abstract description 13
- 238000012549 training Methods 0.000 claims abstract description 9
- 238000004519 manufacturing process Methods 0.000 claims abstract description 6
- 238000002347 injection Methods 0.000 claims abstract description 4
- 239000007924 injection Substances 0.000 claims abstract description 4
- 238000000465 moulding Methods 0.000 claims description 6
- 238000013461 design Methods 0.000 claims description 5
- 230000004044 response Effects 0.000 claims description 4
- 238000001816 cooling Methods 0.000 claims description 3
- 238000012417 linear regression Methods 0.000 claims description 3
- 238000002844 melting Methods 0.000 claims description 3
- 230000008018 melting Effects 0.000 claims description 3
- 230000008676 import Effects 0.000 claims 1
- 238000007405 data analysis Methods 0.000 abstract 1
- 238000012795 verification Methods 0.000 abstract 1
- 238000004458 analytical method Methods 0.000 description 5
- 238000013528 artificial neural network Methods 0.000 description 3
- 238000010923 batch production Methods 0.000 description 2
- 238000004321 preservation Methods 0.000 description 2
- 201000004569 Blindness Diseases 0.000 description 1
- 230000007547 defect Effects 0.000 description 1
- 230000000694 effects Effects 0.000 description 1
- 230000006870 function Effects 0.000 description 1
- 238000011478 gradient descent method Methods 0.000 description 1
- 238000005259 measurement Methods 0.000 description 1
- 238000012163 sequencing technique Methods 0.000 description 1
- 239000002699 waste material Substances 0.000 description 1
Images
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F30/00—Computer-aided design [CAD]
- G06F30/20—Design optimisation, verification or simulation
- G06F30/27—Design optimisation, verification or simulation using machine learning, e.g. artificial intelligence, neural networks, support vector machines [SVM] or training a model
-
- B—PERFORMING OPERATIONS; TRANSPORTING
- B29—WORKING OF PLASTICS; WORKING OF SUBSTANCES IN A PLASTIC STATE IN GENERAL
- B29C—SHAPING OR JOINING OF PLASTICS; SHAPING OF MATERIAL IN A PLASTIC STATE, NOT OTHERWISE PROVIDED FOR; AFTER-TREATMENT OF THE SHAPED PRODUCTS, e.g. REPAIRING
- B29C45/00—Injection moulding, i.e. forcing the required volume of moulding material through a nozzle into a closed mould; Apparatus therefor
- B29C45/17—Component parts, details or accessories; Auxiliary operations
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F30/00—Computer-aided design [CAD]
- G06F30/10—Geometric CAD
- G06F30/17—Mechanical parametric or variational design
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F30/00—Computer-aided design [CAD]
- G06F30/20—Design optimisation, verification or simulation
- G06F30/23—Design optimisation, verification or simulation using finite element methods [FEM] or finite difference methods [FDM]
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F2113/00—Details relating to the application field
- G06F2113/22—Moulding
Landscapes
- Engineering & Computer Science (AREA)
- Physics & Mathematics (AREA)
- Theoretical Computer Science (AREA)
- Geometry (AREA)
- Evolutionary Computation (AREA)
- General Physics & Mathematics (AREA)
- Computer Hardware Design (AREA)
- General Engineering & Computer Science (AREA)
- Manufacturing & Machinery (AREA)
- Mechanical Engineering (AREA)
- Computational Mathematics (AREA)
- Mathematical Analysis (AREA)
- Mathematical Optimization (AREA)
- Pure & Applied Mathematics (AREA)
- Artificial Intelligence (AREA)
- Computer Vision & Pattern Recognition (AREA)
- Medical Informatics (AREA)
- Software Systems (AREA)
- Injection Moulding Of Plastics Or The Like (AREA)
Abstract
Description
| C1 | C2 | C3 | C4 | C5 | C6 | C7 | C8 | C9 | C10 |
| A | B | C | D | E | F | G | 翘曲量 | 信噪比 | 均值 |
| 80 | 220 | 80 | 18 | 5 | 5 | 35 | 1.05 | -0.42379 | 1.05 |
| 80 | 220 | 80 | 29 | 10 | 10 | 60 | 1.14 | -1.13810 | 1.14 |
| 80 | 240 | 110 | 18 | 5 | 10 | 60 | 1.29 | -2.21179 | 1.29 |
| 80 | 240 | 110 | 29 | 10 | 5 | 35 | 1.27 | -2.07607 | 1.27 |
| 100 | 220 | 110 | 18 | 10 | 5 | 60 | 1.14 | -1.13810 | 1.14 |
| 100 | 220 | 110 | 29 | 5 | 10 | 35 | 1.05 | -0.42379 | 1.05 |
| 100 | 240 | 80 | 18 | 10 | 10 | 35 | 1.27 | -2.07607 | 1.27 |
| 100 | 240 | 80 | 29 | 5 | 5 | 60 | 1.29 | -2.21179 | 1.29 |
Claims (5)
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202010748281.4A CN112115635B (zh) | 2020-07-30 | 2020-07-30 | 一种基于深度学习的注塑工艺优化方法 |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202010748281.4A CN112115635B (zh) | 2020-07-30 | 2020-07-30 | 一种基于深度学习的注塑工艺优化方法 |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN112115635A CN112115635A (zh) | 2020-12-22 |
| CN112115635B true CN112115635B (zh) | 2021-10-29 |
Family
ID=73799374
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202010748281.4A Active CN112115635B (zh) | 2020-07-30 | 2020-07-30 | 一种基于深度学习的注塑工艺优化方法 |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN112115635B (zh) |
Families Citing this family (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN115258323B (zh) * | 2021-04-29 | 2024-06-21 | 北京小米移动软件有限公司 | 撕膜控制方法、装置、电子设备及存储介质 |
| BR102021013510A2 (pt) * | 2021-07-08 | 2023-01-17 | Andre Leao Barcellos | Sistema e processo de monitoramento de produção de máquinas |
| CN113733506B (zh) * | 2021-08-10 | 2023-05-05 | 宁波海天智联科技有限公司 | 一种基于互联网的注塑产品加工的工艺参数优化方法 |
| CN115048843B (zh) * | 2022-06-24 | 2024-10-01 | 重庆长安汽车股份有限公司 | 提高含玻纤注塑类零件仿真精度的方法、装置及存储介质 |
| CN115965166B (zh) * | 2023-03-16 | 2023-05-23 | 昆山市恒达精密机械工业有限公司 | 一种塑胶产品生产工艺的优化方法及系统 |
Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN109483816A (zh) * | 2018-12-27 | 2019-03-19 | 东莞市誉铭新精密技术股份有限公司 | 一种手机塑料壳体注塑工艺及注塑装置 |
| CN110640982A (zh) * | 2019-08-26 | 2020-01-03 | 江苏师范大学 | 一种薄壁注塑件的注塑工艺参数多目标优化方法 |
| CN111079338A (zh) * | 2019-12-24 | 2020-04-28 | 广东海洋大学 | 一种汽车后视镜外壳注塑工艺优化方法 |
Family Cites Families (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US7233834B2 (en) * | 2003-08-13 | 2007-06-19 | Cargill, Inc. | Computer-aided modeling and manufacture of products |
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2020
- 2020-07-30 CN CN202010748281.4A patent/CN112115635B/zh active Active
Patent Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN109483816A (zh) * | 2018-12-27 | 2019-03-19 | 东莞市誉铭新精密技术股份有限公司 | 一种手机塑料壳体注塑工艺及注塑装置 |
| CN110640982A (zh) * | 2019-08-26 | 2020-01-03 | 江苏师范大学 | 一种薄壁注塑件的注塑工艺参数多目标优化方法 |
| CN111079338A (zh) * | 2019-12-24 | 2020-04-28 | 广东海洋大学 | 一种汽车后视镜外壳注塑工艺优化方法 |
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| Publication number | Publication date |
|---|---|
| CN112115635A (zh) | 2020-12-22 |
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