WO2022253275A1

WO2022253275A1 - Method, device and system for glass bending process

Info

Publication number: WO2022253275A1
Application number: PCT/CN2022/096645
Authority: WO
Inventors: Zhiyi WANG; Bernard Nghiem; Romain Decourcelle
Original assignee: Saint Gobain Glass France SAS; Compagnie de Saint Gobain SA
Current assignee: Saint Gobain Glass France SAS; Compagnie de Saint Gobain SA
Priority date: 2021-06-02
Filing date: 2022-06-01
Publication date: 2022-12-08
Anticipated expiration: 2023-12-02
Also published as: CN114702234A

Abstract

Embodiments of the present disclosure relate to a method, a device and a system for a glass bending process. The method includes: obtaining a shape measurement of glass manufactured according to the glass bending process; determining a value of a change in a parameter associated with the glass bending process via a model, based on the shape measurement of the glass and a target shape, wherein a difference between the shape measurement and the target shape is a function of the change in the parameter associated with the glass bending process, wherein the model is characterized by an elementary shape for the parameter associated with the glass bending process and an amplitude function of the change in the parameter associated with the glass bending process; and adjusting the parameter associated with the glass bending process, based on the value of the change in the parameter associated with the glass bending process.

Description

METHOD, DEVICE AND SYSTEM FOR GLASS BENDING PROCESS

FIELD

Embodiments of the present disclosure generally relate to the field of glass manufacturing, and more specifically, to glass bending technology, in particular vehicle glass bending technology.

BACKGROUND

Automobile manufacturers are increasingly requesting tighter tolerances of the glass shapes. Therefore, glass manufactures are required to be able to precisely control the process parameters; otherwise, it will cause a decrease in yield. Nowadays, the adjustment to the glass bending process mainly depends on the experience of engineers or operators. Therefore, it relies in particular on the personal experience of the engineers or the operators, which varies from person to person. In addition, even for the best engineer or operator, it is difficult to precisely control the glass bending process.

SUMMARY

According to embodiments of the present disclosure, there is provided a technology for a glass bending.

In a first aspect, there is provided a method for a glass bending process, comprising: obtaining a shape measurement of glass manufactured according to the glass bending process; determining a value of a change in a parameter associated with the glass bending process via a model, based on the shape measurement of the glass and a target shape, wherein a difference between the shape measurement and the target shape is a function of the change in the parameter associated with the glass bending process, wherein the model is characterized by an elementary shape for the parameter associated with the glass bending process and an amplitude function of the change in the parameter associated with the glass bending process; and adjusting the parameter associated with the glass bending process, based on the value of the change in the parameter associated with the glass bending process.

In a second aspect, there is provided a computing device. The device includes: a processing unit; and a memory coupled to the processing unit and storing instructions, the instructions, when executed by the processing unit, cause the electronic device to perform the method according to the first aspect.

In a third aspect, there is provided a system for manufacturing glass. The system includes: a glass bending device for applying a glass bending process to the glass; a measuring device for obtaining a shape measurement of glass manufactured according to the glass bending process; and the electronic device according to the second aspect, the electronic device is used for receiving the shape measurement and providing an adjusted parameter to the glass bending device.

In a fourth aspect, there is provided a computer readable storage medium having computer-executable instructions stored thereon, where the computer-executable instructions, when executed by at least one processor, cause the at least one processor to perform the method according to the first aspect.

It would be appreciated that this Summary is not intended to identify key features or essential features of the present disclosure as described herein, nor is it intended to be used to limit the scope of the present disclosure. Other features of the present disclosure will become evident through the following description.

BRIEF DESCRIPTION OF THE DRAWINGS

The above and other objectives, features, and advantages of the present disclosure will become more apparent, through the following detailed description of the example embodiments with reference to the accompanying drawings. Throughout the drawings, the same or similar reference symbols refer to the same or similar elements, wherein:

Fig. 1 is a flowchart of a glass manufacturing process according to some embodiments of the present disclosure;

Fig. 2 is a flowchart of a glass bending process according to some embodiments of the present disclosure;

Figs. 3A and 3B are schematic diagrams of a glass bending method according to some embodiments of the present disclosure; and

Fig. 4 is a block diagram of a computing device that can implement some embodiments of the present disclosure.

DETAILED DESCRIPTION OF EMBODIMENTS

Reference now will be made to various example embodiments as shown in the drawings to describe the conception of the present disclosure. It would be appreciated that the description on those embodiments is provided merely to enable those skilled in the art to better understand and thus implement the present disclosure, rather than suggesting any limitations to the scope of the present disclosure. Similar or same reference symbols are employed throughout the drawings, if possible, which refer to the similar or same components. It would be understood by those skilled in the art that the alterative embodiments about the structure and/or method described below can be applied, without departing from the principle and conception of the present disclosure.

As used herein, the term “includes” and its variants are to be read as open terms that mean “includes, but is not limited to; ” the term “based on” is to be read as “based at least in part on; ” the term “an embodiment” is to be read as “at least one embodiment; ” the term “another embodiment” is to be read as “at least one other embodiment. ” Other terms possibly included but not mentioned here should not be construed or limited departing from the conception unless the context clearly indicates otherwise.

Fig. 1 is a flowchart of a glass manufacturing process 100 according to some embodiments of the present disclosure. The glass manufacturing process 100 is particularly used in vehicle glass manufacturing. Although some specific steps are shown here, it would be appreciated by those skilled in the art that one or more steps could be added, deleted, replaced with other step (s) or the like, without departing from the principle and spirits of the present disclosure.

At block 102, a raw glass is cut, so as to obtain glass of a desired size. In general, the two dimensional shape of the cut glass still does not match the desired shape. Therefore, at block 104, the glass is die-cut to form a glass having a two dimensional shape that substantially meets the expectations. At block 106, the die-cut glass is ground to remove sharp edges. At block 108, the glass is punched and one or more holes are formed in the glass for use. At block 110, a functional or identifying component, such as an antenna, trademark or the like, is printed on the glass.

At block 112, the glass is subjected to a bending process, and then the bent glass is tempered. In the glass bending process, firstly, the glass is heated above a glass transition temperature (e.g. about 600-640℃) . After heated, the glass is transferred to a bending machine which applies a shape having a certain curvature to the glass. In the meanwhile, air is blown at a high speed to a quenching zone of the glass for bending the glass such that a residual stress can be generated in the glass to increase the mechanical strength of the glass and improve security. Glass bending can be fulfilled through multiple technologies, including molding, pressure forming, special quenching and the like. At block 114, various types of connectors are welded on the glass. At block 116, the glass is packaged.

The glass manufacturing process has been introduced briefly above, where the bending process at block 112 is crucial in determining whether the glass finally manufactured meets the shape requirement. However, current adjustments to the glass forming process mainly rely on the experience of the engineers or operators, making it difficult to meet the precise control requirement.

Fig. 2 is a flowchart of a method 200 for use in a glass bending process according to some embodiments of the present disclosure. At block 202, a shape measurement of the glass manufactured according to the glass bending process is obtained. In the glass manufacturing process, online shape measurement for the glass is performed by a glass shape measuring device, which may follow the step of tempering the fully formed glass. For example, the shape measurement may be performed for every piece of glass in some glass bending processes while the shape measurement may be performed for some pieces of glass (i.e., random inspection is performed) in some other glass bending processes.

For example, the glass shape measuring device may be a contact probe measuring device that includes a plurality of (e.g. 3-4) studs. During measurement, the device can support glass to be measured via those studs on a checking fixture, and a travel distance of the probe at each measurement point is used as the shape measurement value of the glass to be measured. It would be appreciated that any other appropriate measuring devices can be employed for measurement.

At block 204, based on the shape measurement of the glass and the target shape, a value of a change in a parameter associated with the glass bending process is determined via a model. For example, a parameter associated with the glass bending process may be a process parameter of the glass bending process, such as a fan speed, a pressure difference of the quenching zone, a temperature of the glass or the like.

Inventors have found that a difference (represented by ΔM _k, for example) between the shape measurement and the target shape is a function of the change (represented by ΔQ _i, for example) in the parameter (represented by Q _i, for example) associated with the glass bending process. For instance, the difference ΔM _k of the shape measurement resulting from the change in the parameter ΔQ _i may be represented through the following Equation (1) :

(Q ₁+ΔQ ₁, Q ₂+ΔQ ₂, …, Q _n+ΔQ _n) -S _k (Q ₁, Q ₂, …, Q _n) (1)

Wherein, k denotes a measurement point, S _k is a shape of a formed glass at the measurement point k, and Q _i represents a manufacturing parameter associated with the glass bending process.

In the condition that the change in the parameter ΔQ _i is small, the Equation (1) can be linearized to obtain the Equation (2) :

To quantify the impact of the parameter Q _i, the information of

can be acquired in different ways.

In some embodiments, an elementary shape (represented by

for example) of the parameter associated with the glass bending process and an amplitude function (represented by λ ^proc (ΔQ) , for example) of the change in the parameter associated with the glass bending process may be used to characterize the model. For example, the model may be expressed through the following Equation (3) :

Wherein,

denotes a change in glass measurement at the measurement point k caused by the change in the process parameter Q (when other parameters do not change) . It can be seen from the Equation (3) that the impact of the process parameter Q is divided into two parts:

–an elementary shape

corresponding to the impact of the parameter Q. The elementary shape represents a typical shape pattern of the impact. An example is a parabolic shape in the direction of the primary radius of the glass bending device, which is an impact of a wind pressure difference caused by a difference between an upper fan speed and a lower fan speed. Normally, the typical shape depends on the geometry information of the glass, but is least associated or not associated with the parameter Q. For example, the elementary shape may be a saddle shape, a linear shape or a parabolic shape for the parameter Q.

–an amplitude function λ ^proc (ΔQ) which denotes a magnitude or level of the impact of the parameter Q. For example, the amplitude function may be a linear function dependent on ΔQ.

In some embodiments, the elementary shape for the parameter associated with the glass bending process may be acquired by obtaining a shape measurement of the glass manufactured according to the glass bending process and then fitting the shape measurement. For example, the shape measurement can be obtained via a contact probe measuring device. In addition, the shape measurement can be implemented via measuring the coordinates of a plurality of points on the glass (e.g. a three-coordinate measuring instrument) . The measurement method used when modeling the elementary shape may be identical to the measurement method at block 202, or may be different, as long as the elementary shape can be acquired. Moreover, the elementary shape can be determined offline, and can be fully separated from manufacturing.

Fitting the shape measurement can be performed via an optimized method. For example, an exhaustive approach may be used to select the shape model having the best fitting result from a plurality of shape models as the final fitted elementary shape.

In some embodiments, the elementary shape and the amplitude function can be both represented or implemented by a matrix. In this way, the calculation can be performed in a linear operation, thereby reducing the calculation amount while improving the calculation efficiency.

As the Equation (3) is known, the value of the change in the process parameter ΔQ is determined based on the difference

between the shape measurement and the target shape. In some embodiments, an inverse function approach may be used to determine the value of the change in the parameter associated with the glass bending process. More specifically, it is to determine the difference

between the shape measurement of the glass and the target shape and determine an inverse function of the amplitude function (e.g. λ ^proc (ΔQ) ) of the change (e.g. ΔQ) in the parameter (e.g. Q) associated with the glass bending process. The inverse function may be expressed as

The value of the change in the parameter associated with glass bending process, namely the value of ΔQ, can be determined based on the difference

between the shape measurement of the glass and the target shape, the elementary shape

for the parameter (e.g. Q) associated with the glass bending process, and the inverse function

of the amplitude function of the change in the parameter associated with the glass bending process. In the presence of a plurality of measurement points,

may correspond to the slope of the linear regression of the dataset

In some embodiments, if it is difficult to obtain the inverse function, the value of the parameter associated with the glass bending process can be determined through an optimized method instead. More specifically, a loss function to be optimized is defined. For example, the loss function may be a function based on the shape measurement of the glass, the target shape and the change in the parameter associated with the glass bending process. For example, the loss function can be defined as Equation (4) :

Wherein,

is a current glass shape at the measurement point k,

is a target shape at the measurement point k, and ΔM _k (ΔQ) is a function of the change in the parameter associated with the glass bending process (i.e., the Equation (1) or (3) ) . Ideally, when

C (ΔQ) is of the smallest value. Therefore, an optimized loss function (e.g. C (ΔQ) ) can be used to acquire the value of the change in the parameter associated with the glass bending process. For example, a greedy search algorithm or other optimized algorithm (e.g. a gradient descent algorithm, a BFGS algorithm or the like) may be utilized to acquire the ΔQ of the minimized C (ΔQ) : ΔQ=argmin (C (ΔQ) ) . Alternatively, it is also feasible to find a ΔQ value that enables the result of the loss function to be less than a predetermined threshold.

In an alternative embodiment, a machine learning model for the glass bending process may be used to determine the value of the change in the parameter associated with the glass bending process. For example, the machine learning model may include a deep learning model or the like.

At block 206, the parameter associated with the glass bending process is adjusted based on the value of the change in the parameter associated with the glass bending process. For example, the Q value and the value (ΔQ value) of the change in the parameter Q may be added to obtain the value of the adjusted parameter: Q+ΔQ. After adjustment, the adjusted parameter can be applied to the glass bending device for subsequent manufacturing.

Figs. 3A and 3B are schematic diagrams of a method for use in a glass bending process according to a specific embodiment, where Fig. 3B is a cross-sectional view along a cutting line in Fig. 3A. In some glass bending devices, there is a difference between the upper fan speed and the lower fan speed, which is referred to as fan speed difference D: D=V ^upper-V ^lower. The parameter can be used to control the shape of the side vehicle window glass, in particular the curvature along the direction of the primary radius. The impact of the fan speed difference can be simulated through Equation (5) :

Wherein, C _b is a constant coefficient; (X _k, Y _k) is a coordinate of the measurement point k, where X _k is used to compute Y _1, k and Y _2, k, as shown in Figs. 3A and 3B; Y _1, k and Y _2, k, are intersections between a vertical line passing through (X _k, Y _k) and a zero-line parabola which is determined by positions of three studs (S1, S2 and S3) , as denoted by the dotted line in Fig. 3A; (Y _k-Y _1, k) (Y _k-Y _2, k) defines the elementary parabolic shape in the direction of the primary radius, where the coefficient of the quadratic term is 1, and the value of the parabola at (X _k, Y _1, k) and (X _k, Y _2, k) is zero, which is a property of the zero-line parabola. For example, S _k is used to denote C _b (Y _k-Y _1, k) (Y _k-Y _2, k) .

In the example, through the comparison between the Equation (5) and Equation (3) , it can be seen that the elementary shape is a parabolic shape represented as

and the amplitude function λ is a linear function C _bΔD, where ΔD may be a process parameter controlled by the upper fan speed and the lower fan speed. It is worth noting that experiments are necessary to determine the value of the coefficient C _b. The coefficient C _b may depend on factors, such as a thickness of the glass, a glass temperature, an average fan speed, and the like. Considering that the glass temperature and the average fan speed have a slight change during the manufacturing process, a respective C _b value may be adopted for glass with a respective thickness.

In the example as shown in Figs. 3A-3B, the cutting line is located at the position of X ₁₁, and the solid parabola in Fig. 3B represents a fitted parabola of measurement results. As shown in Fig. 3B, when the fan speed difference D is reduced, the curvature of the parabola is further increased, as indicated by the dotted parabola in Fig. 3B. With reference to Fig. 3B, Y ₁₁ is a value of the parabola at the measurement point 11, which can approximately reflect the impact of the fan speed.

It would be appreciated that, although Figs. 3A and 3B illustrate an application of a detailed embodiment, the conception according to embodiments of the present disclosure has a bigger variety in application.

Fig. 4 is a schematic block diagram of a device 400 that can be implement embodiments of the present disclosure. The method 200 as shown in Fig. 2 may be implemented by the device 400. The device 400 can receive measurement data from the measuring device, and compute the adjusted glass bending parameter based on the measurement data.

As shown therein, the device 400 includes a central processing unit (CPU) 401 which performs various appropriate actions and processes, based on computer program instructions stored in a read-only memory (ROM) 402 or computer program instructions loaded from a storage unit 408 to a random access memory (RAM) 403. The RAM 403 stores therein various programs and data required for operations of the device 400. The CPU 401, the ROM 402 and the RAM 403 are connected via a bus 404 with one another. An input/output (I/O) interface 405 is also connected to the bus 404.

The following components in the device 400 are connected to the I/O interface 405: an input unit 406 such as a keyboard, a mouse and the like; an output unit 407 including various kinds of displays and a loudspeaker, etc.; a storage unit 408 including a magnetic disk, an optical disk, and etc.; a communication unit 409 including a network card, a modem, and a wireless communication transceiver, etc. The communication unit 409 allows the device 400 to exchange information/data with other devices through a computer network such as the Internet and/or various kinds of telecommunications networks.

Various processes and processing described above, e.g., the method 200, may be executed by the processing unit 401. For example, in some embodiments, the method 200 can be implemented as a computer software program that is tangibly included in a machine readable medium, e.g., the storage unit 408. In some embodiments, part or all of the computer programs may be loaded and/or mounted onto the device 400 via ROM 402 and/or communication unit 409. When the computer program is loaded to the RAM 403 and executed by the CPU 401, one or more steps of the method 200 as described above may be executed. Alternatively, in other embodiments, the CPU 401 can be configured in any other appropriate manner (e.g., by means of firmware) to perform the method 200.

The present disclosure may be a method, a device, a system, and/or a computer program product. The computer program product may include a computer readable storage medium having computer readable program instructions thereon for causing a processor to carry out aspects of the present disclosure.

The computer readable storage medium may be a tangible device that can retain and store instructions for use by an instruction execution device. The computer readable storage medium may be, for example, but is not limited to, an electronic storage device, a magnetic storage device, an optical storage device, an electromagnetic storage device, a semiconductor storage device, or any suitable combination of the foregoing. A non-exhaustive list of more specific examples of the computer readable storage medium includes the following: a portable computer diskette, a hard disk, a random access memory (RAM) , a read-only memory (ROM) , an erasable programmable read-only memory (EPROM or Flash memory) , a static random access memory (SRAM) , a portable compact disc read-only memory (CD-ROM) , a digital versatile disk (DVD) , a memory stick, a floppy disk, a mechanically encoded device such as punch-cards or raised structures in a groove having instructions recorded thereon, and any suitable combination of the foregoing. A computer readable storage medium, as used herein, is not to be construed as being transitory signals per se, such as radio waves or other freely propagating electromagnetic waves, electromagnetic waves propagating through a waveguide or other transmission media (e.g., light pulses passing through a fiber-optic cable) , or electrical signals sent through a wire.

Computer readable program instructions described herein can be downloaded to respective computing/processing devices from a computer readable storage medium or to an external computer or external storage device via a network, for example, the Internet, a local area network, a wide area network and/or a wireless network. The network may comprise copper transmission cables, optical transmission fibers, wireless transmission, routers, firewalls, switches, gateway computers and/or edge servers. A network adapter card or network interface in each computing/processing device receives computer readable program instructions from the network and forwards the computer readable program instructions for storage in a computer readable storage medium within the respective computing/processing device.

Computer readable program instructions for carrying out operations of the present disclosure may be assembler instructions, instruction-set-architecture (ISA) instructions, machine instructions, machine dependent instructions, microcode, firmware instructions, state-setting data, or either source code or object code written in any combination of one or more programming languages, including an object oriented programming language such as Smalltalk, C++ or the like, and conventional procedural programming languages, such as the “C” programming language or similar programming languages. The computer readable program instructions may execute entirely on the user’s computer, partly on the user’s computer, as a stand-alone software package, partly on the user’s computer and partly on a remote computer or entirely on the remote computer or server. In the latter scenario, the remote computer may be connected to the user’s computer through any type of network, including a local area network (LAN) or a wide area network (WAN) , or the connection may be made to an external computer (for example, through the Internet using an Internet Service Provider) . In some embodiments, electronic circuitry including, for example, programmable logic circuitry, field-programmable gate arrays (FPGA) , or programmable logic arrays (PLA) may execute the computer readable program instructions by utilizing state information of the computer readable program instructions to personalize the electronic circuitry, in order to perform aspects of the present disclosure.

Aspects of the present disclosure are described herein with reference to flowchart illustrations and/or block diagrams of methods, device (systems) , and computer program products according to embodiments of the disclosure. It will be understood that each block of the flowchart illustrations and/or block diagrams, and combinations of blocks in the flowchart illustrations and/or block diagrams, can be implemented by computer readable program instructions.

These computer readable program instructions may be provided to a processor unit of a general purpose computer, special purpose computer, or other programmable data processing device to produce a machine, such that the instructions, when executed via the processing unit of the computer or other programmable data processing device, create means for implementing the functions/acts specified in the flowchart and/or block diagram block or blocks. These computer readable program instructions may also be stored in a computer readable storage medium that can direct a computer, a programmable data processing device, and/or other devices to function in a particular manner, such that the computer readable storage medium having instructions stored therein includes an article of manufacture including instructions which implement aspects of the function/act specified in the flowchart and/or block diagram block or blocks.

The computer readable program instructions may also be loaded onto a computer, other programmable data processing device, or other devices to cause a series of operational steps to be performed on the computer, other programmable devices or other device to produce a computer implemented process, such that the instructions which are executed on the computer, other programmable device, or other devices implement the functions/acts specified in the flowchart and/or block diagram block or blocks.

The flowchart and block diagrams illustrate the architecture, functionality, and operation of possible implementations of systems, methods and computer program products according to various embodiments of the present disclosure. In this regard, each block in the flowchart or block diagrams may represent a module, snippet, or portion of code, which includes one or more executable instructions for implementing the specified logical function (s) . In some alternative implementations, the functions noted in the block may occur out of the order noted in the figures. For example, two blocks in succession may, in fact, be executed substantially concurrently, or the blocks may sometimes be executed in the reversed order, depending upon the functionality involved. It will also be noted that each block of the block diagrams and/or flowchart illustration, and combinations of blocks in the block diagrams and/or flowchart illustration, can be implemented by special purpose hardware-based systems that perform the specified functions or acts, or combinations of special purpose hardware and computer instructions.

The descriptions of the various embodiments of the present disclosure have been presented for purposes of illustration, but are not intended to be exhaustive or limited to the embodiments disclosed. Many modifications and variations will be apparent to those of ordinary skill in the art without departing from the scope and spirit of the described embodiments. The terminology used herein was chosen to best explain the principles of the embodiments, the practical application or technical improvement over technologies found in the marketplace, or to enable others of ordinary skill in the art to understand the embodiments disclosed herein.

Claims

A method for a glass bending process, comprising:

obtaining a shape measurement of glass manufactured according to the glass bending process;

determining a value of a change in a parameter associated with the glass bending process via a model, based on the shape measurement of the glass and a target shape, wherein a difference between the shape measurement and the target shape is a function of the change in the parameter associated with the glass bending process, wherein the model is characterized by an elementary shape for the parameter associated with the glass bending process and an amplitude function of the change in the parameter associated with the glass bending process; and

adjusting the parameter associated with the glass bending process, based on the value of the change in the parameter associated with the glass bending process.
The method of claim 1, wherein the function of the change in the parameter associated with the glass bending process comprises a product of the elementary shape for the parameter associated with the glass bending process and the amplitude function of the change in the parameter associated with the glass bending process.
The method of claim 1, wherein determining the value of the change in the parameter associated with the glass bending process comprises:

determining the difference between the shape measurement of the glass and the target shape;

determining an inverse function of the amplitude function of the change in the parameter associated with the glass bending process; and

determining the value of the change in the parameter associated with the glass bending process, based on the difference between the shape measurement of the glass and the target shape, the elementary shape for the parameter associated with the glass bending process and the inverse function of the amplitude function of the change in the parameter associated with the glass bending process.
The method of claim 1, wherein determining the value of the change in the parameter associated with the glass bending process comprises:

defining a loss function based on the shape measurement of the glass, the target shape and the function of the change in the parameter associated with the glass bending process; and

optimizing the loss function to find the value of the change in the parameter associated with the glass bending process.
The method of claim 4, wherein optimizing the loss function comprises:

determining the value of the change in the parameter associated with the glass bending process that causes the loss function to be minimized.
The method of claim 4, wherein optimizing the loss function comprises:

determining the value of the change in the parameter associated with the glass bending process that causes the loss function to be less than a predetermined threshold.
The method of claim 1, wherein determining the value of the change of the parameter associated with the glass bending process comprises:

determining the value of the change in the parameter associated with the glass bending process via a machine learning model for the glass bending process.
The method of any one of claims 1-7, wherein the parameter associated with the glass bending process comprises a wind pressure difference that is represented by a difference between an upper fan speed and a lower fan speed represented in a device used for the glass bending process.
The method of claim 8, wherein the elementary shape comprises a parabolic shape in a direction of a primary radius of the device used for the glass bending.
The method of claim 8, wherein the amplitude function of the change in the parameter associated with the glass bending process is a linear function of the change in the parameter associated with the glass bending process.
The method of claim 8, wherein the elementary shape for the parameter associated with the glass bending process is a saddle shape, a linear shape or a parabolic shape for the change in the parameter associated with the glass bending process.
The method of claim 1, wherein the elementary shape for the parameter associated with the glass bending process is acquired by obtaining the shape measurement of the glass manufactured according to the glass bending process and fitting the shape measurement.
The method of claim 1, wherein the amplitude function and the elementary shape are both implemented by a matrix.
An electronic device, comprising:

a processing unit; and

a memory coupled to the processing unit and storing instructions, the instructions, when executed by the processing unit, cause the electronic device to perform the method of any one of claims 1-13.
A system for manufacturing glass, comprising:

a glass bending device for applying a glass bending process to the glass;

a measuring device for obtaining a shape measurement of glass manufactured according to the glass bending process; and

the electronic device of claim 14, the electronic device is used for receiving the shape measurement and providing an adjusted parameter to the glass bending device.
A computer readable storage medium having computer-executable instructions stored thereon, wherein the computer-executable instructions, when executed by at least one processor, cause the at least one processor to perform the method of any one of claims 1-13.