NO342441B1 - A method and a tool for designing real 3-D structures - Google Patents

A method and a tool for designing real 3-D structures Download PDF

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Publication number
NO342441B1
NO342441B1 NO20170242A NO20170242A NO342441B1 NO 342441 B1 NO342441 B1 NO 342441B1 NO 20170242 A NO20170242 A NO 20170242A NO 20170242 A NO20170242 A NO 20170242A NO 342441 B1 NO342441 B1 NO 342441B1
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valves
boxes
objects
scanned
library
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NO20170242A
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Norwegian (no)
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NO20170242A1 (en
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Ole Vegar Moldesæther
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Benarx Solutions As
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Priority to NO20170242A priority Critical patent/NO20170242A1/en
Priority to PCT/NO2018/050018 priority patent/WO2018151604A1/en
Publication of NO342441B1 publication Critical patent/NO342441B1/en
Publication of NO20170242A1 publication Critical patent/NO20170242A1/en

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    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F30/00Computer-aided design [CAD]
    • G06F30/10Geometric CAD
    • G06F30/17Mechanical parametric or variational design
    • GPHYSICS
    • G05CONTROLLING; REGULATING
    • G05BCONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
    • G05B19/00Programme-control systems
    • G05B19/02Programme-control systems electric
    • G05B19/18Numerical control [NC], i.e. automatically operating machines, in particular machine tools, e.g. in a manufacturing environment, so as to execute positioning, movement or co-ordinated operations by means of programme data in numerical form
    • G05B19/4093Numerical control [NC], i.e. automatically operating machines, in particular machine tools, e.g. in a manufacturing environment, so as to execute positioning, movement or co-ordinated operations by means of programme data in numerical form characterised by part programming, e.g. entry of geometrical information as taken from a technical drawing, combining this with machining and material information to obtain control information, named part programme, for the NC machine
    • G05B19/40931Numerical control [NC], i.e. automatically operating machines, in particular machine tools, e.g. in a manufacturing environment, so as to execute positioning, movement or co-ordinated operations by means of programme data in numerical form characterised by part programming, e.g. entry of geometrical information as taken from a technical drawing, combining this with machining and material information to obtain control information, named part programme, for the NC machine concerning programming of geometry
    • G05B19/40935Selection of predetermined shapes and defining the dimensions with parameter input
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F30/00Computer-aided design [CAD]
    • G06F30/10Geometric CAD
    • G06F30/12Geometric CAD characterised by design entry means specially adapted for CAD, e.g. graphical user interfaces [GUI] specially adapted for CAD
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T19/00Manipulating 3D models or images for computer graphics
    • GPHYSICS
    • G05CONTROLLING; REGULATING
    • G05BCONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
    • G05B2219/00Program-control systems
    • G05B2219/30Nc systems
    • G05B2219/35Nc in input of data, input till input file format
    • G05B2219/35115Project 3-D surface on 2-D plane, define grid in plane
    • GPHYSICS
    • G05CONTROLLING; REGULATING
    • G05BCONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
    • G05B2219/00Program-control systems
    • G05B2219/30Nc systems
    • G05B2219/35Nc in input of data, input till input file format
    • G05B2219/351343-D cad-cam
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F2113/00Details relating to the application field
    • G06F2113/14Pipes

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  • Physics & Mathematics (AREA)
  • Engineering & Computer Science (AREA)
  • Geometry (AREA)
  • General Physics & Mathematics (AREA)
  • Theoretical Computer Science (AREA)
  • General Engineering & Computer Science (AREA)
  • Computer Hardware Design (AREA)
  • Mathematical Optimization (AREA)
  • Pure & Applied Mathematics (AREA)
  • Evolutionary Computation (AREA)
  • Mathematical Analysis (AREA)
  • Computational Mathematics (AREA)
  • Human Computer Interaction (AREA)
  • Automation & Control Theory (AREA)
  • Manufacturing & Machinery (AREA)
  • Architecture (AREA)
  • Computer Graphics (AREA)
  • Software Systems (AREA)
  • Valve-Gear Or Valve Arrangements (AREA)
  • Organic Low-Molecular-Weight Compounds And Preparation Thereof (AREA)
  • General Factory Administration (AREA)

Abstract

The present invention discloses a method for producing CAM-prodiction data for valve and flange boxes meeting specified insulation class requirements for encapsulating objects and a defined portion of environement sorrounding said objects at least comprising the steps of: a. scanning objects, b. importing each scanned image with real dimensjonal parameters into a modeling software, either by importing one scanned image at a time or several scanned images as a batch, c. importing a library with library models of valves and flange boxes into the modeling software, d. associating library models of valves and flange boxes With scanned images with real dimensjonal parameters the relationship between the dimensjonal parameters of the scanned image and the parameters of the library models of valves and boxes are compared, e. performinng a clash test, where the library models of valves and flange boxes is adapted to include any clashes from the scanned images, and f. producing CAM-parameters for production of real valves and flange boxes based on the adapted library model. A tool for carrying out the method is also disclosed.The present invention discloses a method for producing CAM-production data for valve and flange boxes meeting specified insulation class requirements for encapsulating objects and a defined portion of environment sorrounding said objects at least comprising the steps of: a. Scanning objects, b. Importing each scanned image with real dimensional parameters into a modeling software, either by importing one scanned image at a time or several scanned images as a batch, c. importing a library with library models of valves and flange boxes into the modeling software, i.e. associating library models of valves and flange boxes With scanned images with real dimensional parameters the relationship between the dimensional parameters of the scanned image and the parameters of the library models of valves and boxes are compared, e. perform a clash test, where the library models of valves and flange boxes are adapted to include any clashes from the scanned images, and f. producing CAM parameters f or production of real valves and flange boxes based on the adapted library model. A tool for carrying out the method is also disclosed.

Description

Technical Field
[0001] The present invention relates to a method and a tool for designing real 3-D structures based on 2D representations.
Background Art
[0002] Within process industry, oil, gas industry, and other industries, insulation is important to among other factors protect equipment to damage caused by fire, reduce heat loss and to reduce noise emission. According to standards, it can be compulsory to isolate particular installations against damage caused by external influence. The installations can be piping’s, pipefittings, valves, controllers etc.
[0003] It is common practice to encapsulate elements or parts of elements or installations that shall be insulated. Valves and pipe fittings are commonly covered by insulation boxes, which meets defined requirements with respect to fire classes, thermal classes, acoustic classes, or any other defined class.
[0004] A typical scenario can be that several valves and flanges in an oil and gas installation shall be fire protected according to a relevant standard. The provider of insulation boxes will receive a specification of the installation including valve types, flange dimensions, pressure classes and insulation classes. The provider will then produce insulation boxes in accordance with received specification. On site, during installation of the insulation boxes, the installers will often find that valves etc. is surrounded by building structures, pipes, hoses and cables etc. which prevents installation of the insulation boxes, i.e. it is a clash between the boxes and surrounding elements.
[0005] The installer or any other competent person will then have to provide a representation of the valve, pipefittings and its surrounding elements to a design engineer, which will have to redesign the insulation box to include one or more recessions to receive intruding elements surrounding the object to encapsulate. Following this, the redesigned insulation box will be shipped to the relevant installation and an installer will try to mount the redesigned insulation box, whether he succeeds or not is heavily dependent on the representation of the valve, pipefittings and its surrounding elements provided to the design engineer. It shall be noted that it is not trivial to provide precise information regarding spatial oriented objects; it can among others be difficult to define unique reference points.
[0006] From US 2009/0273598 A1 it is known methods, apparatuses/systems, and software for representing 3D objects such as; a bridge, a building, an automobile and airplane etc.
[0007] It is an object of the present invention to overcome the drawbacks indicated above with respect to manufacturing insulation boxes.
Disclosure of Invention
[0008] It is one object of the invention to provide CAM-data to customise insulation boxes in accordance with real environment challenges.
[0009] In particular it is disclosed a method for delivering 3D CAM valves and flange boxes parameters based on a 2D representation and/or a written description of pipe fittings and valves for encapsulation of the pipe fittings and valves with the valves and flange boxes where the valves and flange boxes meets specified insulation classification requirements comprising the steps of:
a. analysing 2D representation and/or analysing description of pipe fittings and valves to be encapsulated,
i. extracting product specific parameters for each single pipe fitting or valve from the analysis in a) and
b. mapping the product specific parameters with a table including representations of valves and flange boxes for best match between the product specific data and the representation of the valves and flange boxes,
i. selecting valves or flange boxes based on best match for each set of product specific parameters associated with single pipe fittings or valves,
ii. for selected valves or flange boxes that is within a predefined best match range execute step j
c. scanning the pipe fittings and valves presented in the 2D representation and/or written opinion,
i. defining at least two reference markers on each pipe fitting and valve and mapping dimensional data associated with the at least two reference markers,
d. providing a scanned image of each scanned pipe fittings and valves to a scaling software for scaling dimensions of each pipe fittings and valves presented in each associated scanned image based on each scanned image and the at least two reference markers with its associated dimensional data,
i. the scaling software returns a representation of each scanned image with real dimensional parameters, e. importing each scanned image with real dimensional parameters into a modelling software, either by importing one scanned image at a time or several scanned images as a batch,
f. importing a library with library models of valves and flange boxes into the modelling software,
g. associating library models of valves and flange boxes with the scanned image with real dimensional parameters where the association is based on a best match test where the relationship between the dimensional parameters of the scanned image and the parameters of the library models of valves and boxes are compared, h. performing a clash test, where the library models of valves and flange boxes is adapted to include any clashes from the scanned images, and
i. producing a software model based on the adapted library model, and j. producing CAM-parameters for production of a real valves and flange boxes based on the adapted library model. In the method step, a) above may include one or more of: extracting information regarding valve type, flange type, NPS, pressure class and insulation class.
[0010] An alternative of the method above can be formulated as a method for producing CAM-production data for valve and flange boxes meeting specified insulation class requirements for encapsulating objects and a defined portion of environment surrounding said objects at least comprising the steps of:
a. scanning objects,
b. providing a scanned image of each scanned objects and associated defined portion of environment surrounding said objects to a scaling software for scaling dimensions of each scanned objects and associated portion of environment surrounding said objects based on each scanned image and the at least two reference markers with its associated dimensional data,
c. importing each scanned image with real dimensional parameters into a modelling software, either by importing one scanned image at a time or several scanned images as a batch,
d. importing a library with library models of valves and flange boxes into the modelling software,
e. associating library models of valves and flange boxes with the scanned images with real dimensional parameters and the relationship between the dimensional parameters of the scanned image and the parameters of the library models of valves and boxes are compared,
f. performing a clash test, where the library models of valves and flange boxes is adapted to include any clashes from the scanned images, and
g. producing CAM-parameters for production of real valves and flange boxes based on the adapted library model.
[0011] In one embodiment, the insulation classes are one or more of fire class, acoustic class thermal class and subsea insulation class.
[0012] In one aspect CAM-production data and CAM-parameters are converted to CNC-parameters for production of real valves and flange boxes based on the adapted library model.
[0013] In one aspect step a) includes defining at least two reference markers on each object and mapping dimensional data associated with the at least two reference markers.
[0014] In another aspect step a) includes one or more of: extracting information regarding valve type, flange type, NPS, pressure class and insulation class.
[0015] In yet another aspect, the valves and flange boxes are insulation boxes, where the insulation boxes can be any of: pipe fittings, valves, controllers, flanges, pipe components in general, cables or supporting structures.
[0016] According to the present invention it is provided a model adaptation tool for producing CAM-data for manufacturing valves and flange boxes with specific insulation classes, where the model adaptation tool comprises: a. a 3D scanning device for scanning of objects and a defined portion of environment surrounding said objects,
b. means for making mark references on scanned objects,
c. dimensional measuring means for distance measuring of distances between reference marks on scanned objects
d. scaling software for scaling scanned objects into real size based on scanned image and distances between reference marks on scanned objects and for producing 3D real size software models, e. model library with models of valves and flange boxes,
f. modelling software where 3D real size software models from the scaling software is imported together with elements from the model library, for a best match comparison between library models and 3D real size software models,
g. a CAM-data production routine configured to produce CAM-data for manufacturing valves and flange boxes with specific insulation classes.
[0017] In one embodiment, the insulation classes are one or more of fire class, acoustic class thermal class and subsea insulation class.
[0018] Other advantageous features will be apparent from the accompanying claims.
Brief Description of Drawings
[0019] Following is a brief description of the drawings in order to make the invention more readily understandable, the discussion that follows will refer to the accompanying drawings, in which
[0020] Fig. 1 Valve, flange, pipe and valve box assembly
[0021] Fig 2 shows a flow chart of a method according to one embodiment of the present invention,
[0022] Fig. 3 shows an example of a specification and a product library/table [0023] Fig. 4 shows insulation box specifications from library / valve and flange box specifications in library,
[0024] Fig. 5 shows an example of a scanning device in operation in an environment with valves and clash / interfering objects
[0025] Fig. 6 shows an example of distance measurement on a valve [0026] Fig. 7 shows an example of a scanning image,
[0027] Fig. 8 shows an example of a scanning image in a scaled up version [0028] Fig. 9 shows an example of a clash modified insulation box
[0029] Fig 10 shows an example of a clash modified insulation box prepared for generation of production data, and
[0030] Fig 11 shows examples of models ready for production.
[0031] Fig 12 shows a simplified path from scanning objects to encapsulating object with one or more insulation boxes
Detailed description of the Invention
[0032] In the following it is firstly disclosed general embodiments in accordance to the present invention, thereafter, particular exemplary embodiments will be described. Where possible reference will be made to the accompanying drawings and where possible using reference numerals in the drawings. It shall be noted however that the drawings are exemplary embodiments only and other features and embodiments may well be within the scope of the invention as described.
[0033] In the following description it will be adhered to the definitions below:
[0034] By “specified classification requirements”, it is meant specified requirement to meet specific insulation classes such as fire classes, acoustic classes, thermal classes, subsea classes etc. according to standards.
[0035] By valves and flange boxes it is meant boxes or structures for encapsulating pipe fittings, valves, controllers, flanges, pipe components in general, cables, supporting structures etc. Typically, these objects forms part of a system including combinations of the mentioned objects.
Generally, any structure that can be encapsulated/covered by the boxes or structures according to the present invention, which according to standards must be insulated, is included by the wording “valves and flange boxes”.
[0036] The boxes will typically comprise at least two parts which are separate and which comprises fastening means to secure the at least two parts together or the at least two parts can be pivotally hinged together where the parts comprises fastening means to secure the at least two parts together.
Moreover, the insulation boxes can be provided with inspection covers for example with access to display means.
[0037] According to the present invention it is disclosed a method and a tool for production of manufacturing data for the manufacture of insulation boxes.
[0038] A typical scenario for manufacturing insulation boxes for protection of valves pipes etc. in an installation can be as follows. The specification received as parts of a purchase order is converted to one or more detailed lists connecting each purchased item to technical specifications such as ISO-drawings/classes etc.
[0039] In a second step 2.0, (ref. fig.2) a provider of insulation boxes receives an electronic version of a specification of a production environment etc. including several pipe elements, fittings and valves. The technical information provided is typically received as ISO-drawings. From the technical drawings, the provider of insulation boxes extracts product specific information such as valve types, NPS, pressure class and insulation class etc. The extracted information is mapped with information uploaded from a database included in a table, fig.3 based on best match criteria. The table includes insulation box data, such as classes, sizes and shapes. The best match criteria can in some instances readily be determined as the type of component (Valve type is extracted from the received technical information) and a direct match associated with that particular valve type is found in the table as a particular standard insulation box. Manufacturing data of this particular insulation box is well known and CNC-data/Cam data can be provided to production facilities for production of the particular standard insulation box.
[0040] In other instances, there is not sufficient information to extract all necessary information to select a particular insulation box from the table.
[0041] In a step 3.1 onsite personnel, uses standard checklist to verify whether the selected standard insulation boxes fig.4 fit to the objects to encapsulate by the insulation box. The outcome of this verification process is either that a standard insulation box fits or it does not fit. In the event that it does not fit, this can be due to modifications that has been made onsite after production of the specification of the production environment, it may also be that minor additions to the installations have been made; these additions can include adding cables, building structures, cables etc. These objects may be close to objects that shall be encapsulated and hence hamper installation of the insulation box, i.e. insulation box clashes with elements surrounding the objects to encapsulate.
[0042] If the standard insulation box fits, the provider of the boxes can initiate production of such a standard box or standard boxes. If it does not fit, onsite personnel 3.3 scans the objects to encapsulate and its environments including any clashes/deviations, ref. fig.5. The scanning process produces a reproduction of the scanned objects, however it does not provide any dimensional data, hence the 3D-presentation is not suitable as the basis for production of insulation boxes. To facilitate scaling of the 3D-representation it is necessary to provide some dimensional data of the scanned object. In one example the scanned object is marked with markers with a known distance there between, the markers can be physical, one can use laser light and measure distance between two or more laser light markers. One may also simply measure the distance between two points on the object to be encapsulated and take a picture of the measurement, fig.6. In figure 6, the distance between the flanges selected as markers is indicated with a vertical arrow.
[0043] The scanned object creates a 3D representation; this 3D-representation is transferred (fig.2) 3.4 to the provider of insulation boxes together with the representation of the distance measurement, the latter to be used for scaling of the 3D-image/representation.
[0044] At the receiver of the 3D-image, (fig. and the picture for scaling (picture with distance measurement) the 3D-image is imported into a 3D-scaling program. The distance measurement is used for scaling of the 3D-image. The operator of the scaling program can for example make virtual marks on the 3D-image and then map these marks with the distance (dimension reference) shown in the picture, fig 6. The outcome of adding dimension into the 3D-scanned image is that a dimension specific image is created, this is necessary for production of production data and for modification.
[0045] The scaled scanned image is saved and imported by a modelling software.
The modelling software can import one image/file at a time or it can import batches of files/images. The modelling software has the capability to import not only images from the scaling software but also models from a model library. Figure 4 represents an example of one model in the model library. Figure 4 indicates the shape of a valve and flange box moreover the information regarding dimensions such as NPS width; height etc. is given for each model. It shall be appreciated that the model library can be a part of a database or it can represent the full database, i.e. be identical or substantially identical with the database.
[0046] The “box designer”, i.e. the person who runs the modelling software and is supposed to modify the models now has a number of scanned images which is to scale, i.e. all dimensions are known and all clashes etc. are indicated, furthermore he has access to a library with several valve and flange box models where information as indicated in fig.4 is presented. Based on the scanned images the “box designer” shall, based on a best match philosophy, select a box from the library which best fits a particular scanned image. He may have to change one or more dimensional parameters of the selected library model. He can modify the library model in the xyz-direction and modify the pipe dimensions, R2, etc. The box designer will based on the scanned image modify a standard box and include any necessary recesses for clashes, see fig.9 or 10. Moreover, any inspection windows in the form of a hinged lid can be added to the design in accordance with need, ref. fig 12.
[0047] Having modified a library model to fit a particular scanned 3D-image the box designer will save the modified library model and produce CAM-specific data (production specific data) based on the saved model. The CAM-specific data can be converted to CNC data for manufacturing of tailor-made valves and flange boxes.
[0048] The production specific data are exported to a manufacturing facility, which based on said production data can produce valve and flange boxes in accordance with specification from the box designer.
[0049] List of references

Claims (11)

Claims
1. A method for producing CAM-production data for valve and flange boxes meeting specified insulation class requirements for encapsulating objects and a defined portion of environment surrounding said objects, at least comprising the steps of:
a. scanning objects to be encapsulated and providing a scanned image of each scanned objects and associated defined portion of environment surrounding said objects,
b. importing each scanned image with real dimensional parameters into a modelling software, either by importing one scanned image at a time or several scanned images as a batch,
c. importing a library with library models of valves and flange boxes into the modelling software,
d. associating library models of valves and flange boxes with the scanned images,
e. performing a clash test, where the library models of valves and flange boxes is adapted to include any clashes from the scanned images, and f. producing CAM-parameters for production of real valves and flange boxes based on the adapted library model.
2. A method according to claim 1 where the CAM-production data and the CAM-parameters are converted to CNC-parameters for production of real valves and flange boxes based on the adapted library model.
3. A method according to claim 1, where step a) includes defining at least two reference markers on each object to be encapsulated and mapping dimensional data associated with the at least two reference markers.
4. A method according to claim 3, where the method further comprises a step preceding step b) which comprises:
providing the scanned image of each scanned objects to be encapsulated and associated defined portion of environment surrounding said objects to a scaling software for scaling dimensions of each scanned objects to be encapsulated and associated portion of environment surrounding said objects to be encapsulated based on each scanned image and the at least two reference markers with its associated dimensional data.
5. A method according to claim 4, where the associated library models of valves and flange boxes with the scanned images includes real dimensional parameters and the relationship between the dimensional parameters of the scanned image and the parameters of the library models of valves and boxes are compared.
6. A method according to claim 1, where step a) includes one or more of:
extracting information regarding valve type, flange type, NPS, pressure class and insulation class.
7. A method according to any of the claims 1 - 5, where the valves and flange boxes are insulation boxes.
8. A method according to claim 6, where the insulation boxes can be any of: pipe fittings, valves, controllers, flanges, pipe components in general, cables or supporting structures.
9. A method according to claim 1- 7, where the insulation classes are one or more of fire class, acoustic class and thermal class.
10. A model adaptation tool for producing CAM-data for manufacturing valves and flange boxes meeting requirement to specific insulation classes, where the model adaptation tool comprises:
a. a 3D scanning device for scanning of objects to be encapsulated and a defined portion of environment surrounding said objects,
b. means for making real mark references or virtual mark references on the scanned objects to be encapsulated,
c. dimensional measuring means for distance measuring of distances between reference marks on the scanned objects to be encapsulated, d. scaling software for scaling scanned objects to be encapsulated into real size based on scanned image and distances between reference marks on scanned objects, for producing 3D real size software models,
e. model library with models of valves and flange boxes,
f. modelling software where the 3D real size software models from the scaling software is imported together with elements from the model library, for a best match comparison between library models and the 3D real size software models,
g. a CAM-data production routine configured to produce CAM-data for manufacturing valves and flange boxes with specific insulation classes.
11. A tool according to claim 10, where the insulation classes are one or more of fire class, acoustic class thermal class and subsea insulation class.
NO20170242A 2017-02-17 2017-02-17 A method and a tool for designing real 3-D structures NO20170242A1 (en)

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PCT/NO2018/050018 WO2018151604A1 (en) 2017-02-17 2018-01-25 A method and a tool for designing real 3-d structures

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CN111008415B (en) * 2019-11-04 2020-12-25 北京城建设计发展集团股份有限公司 Nonlinear elastic reaction centroid algorithm for prefabricated component sealing gasket
CN111726589B (en) * 2020-07-07 2022-01-28 山东天原管业股份有限公司 Production and processing method of valve body

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US20090273598A1 (en) * 2008-05-01 2009-11-05 M.E.P. Cad, Inc. Methods and apparatuses for automatically converting objects in CAD drawing from two-dimensions to three-dimensions

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US7225050B2 (en) * 2001-01-04 2007-05-29 Sutula Jr Daniel P Method and apparatus for precisely fitting, reproducing, and creating 3-dimensional objects from digitized and/or parametric data inputs using computer aided design and manufacturing technology
WO2004077185A2 (en) * 2003-02-27 2004-09-10 Lego A/S Method and system for producing an article
US10311634B2 (en) * 2015-07-21 2019-06-04 IAM Robotics, LLC Three dimensional scanning and data extraction systems and processes for supply chain piece automation

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US20090273598A1 (en) * 2008-05-01 2009-11-05 M.E.P. Cad, Inc. Methods and apparatuses for automatically converting objects in CAD drawing from two-dimensions to three-dimensions

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