CN115809576B - Silicon-based MEMS (micro electro mechanical System) process and multi-physical field coupling device performance evaluation method - Google Patents
Silicon-based MEMS (micro electro mechanical System) process and multi-physical field coupling device performance evaluation method Download PDFInfo
- Publication number
- CN115809576B CN115809576B CN202211445585.9A CN202211445585A CN115809576B CN 115809576 B CN115809576 B CN 115809576B CN 202211445585 A CN202211445585 A CN 202211445585A CN 115809576 B CN115809576 B CN 115809576B
- Authority
- CN
- China
- Prior art keywords
- coupling
- model
- silicon
- simulation
- physical
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Active
Links
- 238000000034 method Methods 0.000 title claims abstract description 84
- 230000008878 coupling Effects 0.000 title claims abstract description 62
- 238000010168 coupling process Methods 0.000 title claims abstract description 62
- 238000005859 coupling reaction Methods 0.000 title claims abstract description 62
- 230000008569 process Effects 0.000 title claims abstract description 54
- XUIMIQQOPSSXEZ-UHFFFAOYSA-N Silicon Chemical compound [Si] XUIMIQQOPSSXEZ-UHFFFAOYSA-N 0.000 title claims abstract description 45
- 229910052710 silicon Inorganic materials 0.000 title claims abstract description 45
- 239000010703 silicon Substances 0.000 title claims abstract description 45
- 238000011156 evaluation Methods 0.000 title claims abstract description 15
- 238000004088 simulation Methods 0.000 claims abstract description 50
- 238000013461 design Methods 0.000 claims abstract description 34
- 238000004364 calculation method Methods 0.000 claims abstract description 28
- 238000004519 manufacturing process Methods 0.000 claims abstract description 14
- 239000000758 substrate Substances 0.000 claims abstract description 14
- 238000004422 calculation algorithm Methods 0.000 claims abstract description 10
- 238000009826 distribution Methods 0.000 claims description 13
- VYPSYNLAJGMNEJ-UHFFFAOYSA-N Silicium dioxide Chemical compound O=[Si]=O VYPSYNLAJGMNEJ-UHFFFAOYSA-N 0.000 claims description 5
- 239000000463 material Substances 0.000 claims description 5
- 239000013078 crystal Substances 0.000 claims description 4
- 238000005457 optimization Methods 0.000 claims description 3
- 229910052814 silicon oxide Inorganic materials 0.000 claims description 3
- 238000007670 refining Methods 0.000 claims 1
- 238000005516 engineering process Methods 0.000 abstract description 9
- 238000012827 research and development Methods 0.000 abstract description 2
- 238000010586 diagram Methods 0.000 description 12
- 235000012431 wafers Nutrition 0.000 description 9
- 230000006872 improvement Effects 0.000 description 7
- 239000002131 composite material Substances 0.000 description 3
- 230000000704 physical effect Effects 0.000 description 3
- 230000009471 action Effects 0.000 description 2
- 238000011161 development Methods 0.000 description 2
- 238000006073 displacement reaction Methods 0.000 description 2
- 238000004377 microelectronic Methods 0.000 description 2
- 238000002360 preparation method Methods 0.000 description 2
- 238000011160 research Methods 0.000 description 2
- 230000001133 acceleration Effects 0.000 description 1
- 238000004458 analytical method Methods 0.000 description 1
- 238000012938 design process Methods 0.000 description 1
- 239000003814 drug Substances 0.000 description 1
- 230000005684 electric field Effects 0.000 description 1
- 239000012530 fluid Substances 0.000 description 1
- 230000010354 integration Effects 0.000 description 1
- 238000005459 micromachining Methods 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
- 238000012900 molecular simulation Methods 0.000 description 1
- 235000012239 silicon dioxide Nutrition 0.000 description 1
- 239000000377 silicon dioxide Substances 0.000 description 1
- 238000006467 substitution reaction Methods 0.000 description 1
- 238000012546 transfer Methods 0.000 description 1
Landscapes
- Management, Administration, Business Operations System, And Electronic Commerce (AREA)
Abstract
Description
技术领域Technical field
本发明属于电子信息领域硅基MEMS性能评估方法,特别涉及硅基膜的工艺及多物理场模型的器件性能计算仿真方法。The invention belongs to a silicon-based MEMS performance evaluation method in the field of electronic information, and particularly relates to a silicon-based film process and a device performance calculation and simulation method of a multi-physics model.
背景技术Background technique
MEMS传感器即微机电系统(Microelectro Mechanical Systems),是在微电子技术基础上发展起来的多学科交叉的前沿研究领域。经过四十多年的发展,已成为世界瞩目的重大科技领域之一。它涉及电子、机械、材料、物理学、化学、生物学、医学等多种学科与技术,具有广阔的应用前景。截止到2010年,全世界有大约600余家单位从事MEMS的研制和生产工作,已研制出包括微型压力传感器、加速度传感器、微喷墨打印头、数字微镜显示器在内的几百种产品,其中MEMS传感器占相当大的比例。MEMS传感器是采用微电子和微机械加工技术制造出来的新型传感器。与传统的传感器相比,它具有体积小、重量轻、成本低、功耗低、可靠性高、适于批量化生产、易于集成和实现智能化的特点。同时,在微米量级的特征尺寸使得它可以完成某些传统机械传感器所不能实现的功能。MEMS sensors, namely Microelectro Mechanical Systems, are a multidisciplinary cutting-edge research field developed on the basis of microelectronics technology. After more than 40 years of development, it has become one of the major scientific and technological fields that attract world attention. It involves electronics, machinery, materials, physics, chemistry, biology, medicine and other disciplines and technologies, and has broad application prospects. As of 2010, there are approximately 600 units around the world engaged in the development and production of MEMS, and have developed hundreds of products including micro pressure sensors, acceleration sensors, micro inkjet print heads, and digital micromirror displays. Among them, MEMS sensors account for a considerable proportion. MEMS sensors are new sensors manufactured using microelectronics and micromachining technology. Compared with traditional sensors, it has the characteristics of small size, light weight, low cost, low power consumption, high reliability, suitable for mass production, easy integration and intelligentization. At the same time, the feature size on the order of microns allows it to complete certain functions that cannot be achieved by traditional mechanical sensors.
在多物理场中,各个物理场相互叠加、相互影响,研究多物理场就是研究多个互相作用的物理属性之间的关系。例如,自然对流传热研究压力场、速度场、温度场之间的关系,磁流体动力学研究磁场、电场、流体场之间的关系。作为一个跨学科的研究领域,多物理场涵盖了包括数学、物理学、工程学、电磁学等各学科。在建立多物理场模型时,首先根据每个物理场建立对应的偏微分方程,最后联立方程式形成一个多物理场方程组。In multiphysics, various physical fields superimpose and influence each other. Studying multiphysics is to study the relationship between multiple interacting physical attributes. For example, natural convection heat transfer studies the relationship between the pressure field, velocity field, and temperature field, and magnetohydrodynamics studies the relationship between the magnetic field, electric field, and fluid field. As an interdisciplinary research field, multiphysics covers various disciplines including mathematics, physics, engineering, electromagnetics, etc. When establishing a multi-physics model, the corresponding partial differential equations are first established based on each physical field, and finally the simultaneous equations form a multi-physics equation system.
目前的硅基MEMS传感器已经广泛应用于各类电子产品,由于其制备过程复杂,费用高,如何在制备前进行硅基MEMS的设计与工艺过程的优化至关重要。目前国际上尚没有一种准确检测硅基MEMS工艺与多物理场模型耦合的器件性能的方法。在工艺上可以通过分子模拟进行器件的工艺性能的评估,但其工艺仿真具体结构的改变还无法仿真。目前对制程的器件可以通过有限元等数值算法进行设计优化,然而其无法分析由于工艺步骤所带来的残余应力等对器件本身的影响,缺乏联立工艺仿真与器件结构综合评判的硅基MEMS的器件性能评估方法。Current silicon-based MEMS sensors have been widely used in various electronic products. Due to the complexity and high cost of their preparation process, it is crucial to design and optimize the process of silicon-based MEMS before preparation. Currently, there is no method in the world that accurately detects the performance of devices coupled with silicon-based MEMS processes and multi-physics models. In terms of technology, molecular simulation can be used to evaluate the process performance of the device, but the changes in the specific structure of the process simulation cannot be simulated. Currently, devices in the manufacturing process can be designed and optimized through numerical algorithms such as finite element. However, it cannot analyze the impact of residual stress caused by process steps on the device itself. There is a lack of silicon-based MEMS that combines process simulation and comprehensive evaluation of device structure. device performance evaluation method.
发明内容Contents of the invention
本发明的目的在于克服现有技术缺陷,提出了硅基MEMS工艺与多物理场模型耦合的器件性能评估方法。The purpose of the present invention is to overcome the shortcomings of the existing technology and propose a device performance evaluation method that couples a silicon-based MEMS process with a multi-physics model.
为了实现上述目的,本发明提出了硅基MEMS工艺与多物理场耦合的器件性能评估方法,所述方法包括:In order to achieve the above objectives, the present invention proposes a device performance evaluation method for coupling silicon-based MEMS technology and multi-physics fields. The method includes:
步骤S1)对具有硅基MEMS基底的器件进行制造工艺仿真,获得工艺仿真模型;Step S1) Perform manufacturing process simulation on the device with a silicon-based MEMS substrate to obtain a process simulation model;
步骤S2)对工艺仿真模型进行结构设计拓扑,获得拓扑重构后的三维模型;Step S2) Perform structural design topology on the process simulation model to obtain a three-dimensional model after topology reconstruction;
步骤S3)基于拓扑重构后的三维模型,建立工艺及设计耦合模型,并基于耦合物理环境确定耦合时的物理场;Step S3) Based on the topologically reconstructed three-dimensional model, establish a process and design coupling model, and determine the physical field during coupling based on the coupling physical environment;
步骤S4)进行多物理场数值仿真计算;Step S4) Perform multi-physics numerical simulation calculations;
步骤S5)基于仿真计算结果进行器件性能评估。Step S5) Perform device performance evaluation based on simulation calculation results.
作为上述方法的一种改进,所述步骤S1)的硅基MEMS基底包括:普通硅片的晶面,掺杂浓度,表面电阻以及含有氧化硅层的硅片。As an improvement of the above method, the silicon-based MEMS substrate in step S1) includes: the crystal plane, doping concentration, surface resistance of an ordinary silicon wafer, and a silicon wafer containing a silicon oxide layer.
作为上述方法的一种改进,所述步骤S1)包括:As an improvement of the above method, step S1) includes:
根据具有硅基MEMS基底的器件的设计性能要求,确定工艺参数;Determine process parameters based on the design performance requirements of devices with silicon-based MEMS substrates;
根据工艺参数和器件尺寸,进行制造工艺仿真,获得工艺仿真模型以及对应不同工艺步骤的基本尺寸。According to the process parameters and device size, the manufacturing process simulation is performed to obtain the process simulation model and the basic dimensions corresponding to different process steps.
作为上述方法的一种改进,所述步骤S2)包括:As an improvement of the above method, the step S2) includes:
基于仿真器件的三维模型进行三维拓扑结构设计和建模;Three-dimensional topology design and modeling based on the three-dimensional model of the simulated device;
计算拓扑后的结构,进一步细化建模,得到拓扑重构后的三维模型。Calculate the structure after topology, further refine the modeling, and obtain the three-dimensional model after topology reconstruction.
作为上述方法的一种改进,所述步骤S3)包括:As an improvement of the above method, the step S3) includes:
基于拓扑重构后的三维模型,建立工艺及设计耦合模型,创建三维网格;Based on the topologically reconstructed 3D model, establish a process and design coupling model and create a 3D mesh;
设计耦合边界条件,确定耦合时的物理场类型及相应参数。Design coupling boundary conditions and determine the physical field type and corresponding parameters during coupling.
作为上述方法的一种改进,所述步骤S4)包括:As an improvement of the above method, step S4) includes:
基于器件工作时的物理参数与器件设计耦合模型建立三维网格模型;Establish a three-dimensional mesh model based on the coupling model of the physical parameters of the device during operation and the device design;
设置多物理场耦合仿真计算的初始条件和边界条件,求解多物理场耦合的控制方程,设置计算时有限元、牛顿差值及中心差分数值算法;其中所述多物理场耦合的控制方程为:Set the initial conditions and boundary conditions for multi-physics coupling simulation calculations, solve the control equations of multi-physics coupling, and set the finite element, Newton difference and central difference numerical algorithms during calculation; the control equations of multi-physics coupling are:
f(mj;vi,s)=0f(m j ; v i ,s)=0
其中,f是微分算子,mj是材料的第j个物性变量,vi是第i个场变量,为矢量或标量,s是场的汇或者源。Among them, f is a differential operator, m j is the j-th physical property variable of the material, vi is the i-th field variable, which is a vector or scalar, and s is the sink or source of the field.
作为上述方法的一种改进,所述步骤S4)还包括:基于器件工作时的物理参数与器件设计耦合模型建立二维网格模型;具体包括:As an improvement of the above method, the step S4) also includes: establishing a two-dimensional grid model based on the physical parameters of the device during operation and the device design coupling model; specifically including:
将三维坐标系点集向其中一个坐标平面进行正平行投影得到二维网格模型;Perform orthoparallel projection of the three-dimensional coordinate system point set onto one of the coordinate planes to obtain a two-dimensional grid model;
依据二维网格模型对多物理场耦合仿真计算的初始条件和边界条件进行简化,求解多物理场耦合的控制方程,设置计算时有限元、牛顿差值及中心差分数值算法。Based on the two-dimensional grid model, the initial conditions and boundary conditions of the multi-physics coupling simulation calculation are simplified, the control equations of the multi-physics coupling are solved, and the finite element, Newton difference and central difference numerical algorithms are set during calculation.
作为上述方法的一种改进,所述步骤S5)包括:As an improvement of the above method, step S5) includes:
基于步骤S4)的仿真计算结果,分析不同工艺步骤下器件的应力和温度分布情况,模拟不同工况下仿真器件在工艺步骤完成后的工作状态及相关物理参量;进而评估具有硅基MEMS基底的器件性能,并根据相关物理参量进行结构和工艺优化。Based on the simulation calculation results of step S4), analyze the stress and temperature distribution of the device under different process steps, simulate the working status and related physical parameters of the simulated device after the completion of the process steps under different working conditions; and then evaluate the performance of the device with a silicon-based MEMS substrate Device performance, and structural and process optimization based on relevant physical parameters.
与现有技术相比,本发明的优势在于:Compared with the existing technology, the advantages of the present invention are:
1、本发明通过耦合工艺与多物理场之间的状态,提出一种在多物理场作用下硅基MEMS的器件性能评估方法,解决了硅基MEMS在多物理场作用的工艺与结构相互耦合的问题;1. The present invention proposes a device performance evaluation method for silicon-based MEMS under the action of multi-physics fields by coupling the state between the process and multi-physics fields, and solves the mutual coupling between the technology and structure of silicon-based MEMS under the action of multi-physics fields. The problem;
2、本发明解决了MEMS制造工艺和几何构型的耦合问题,创新性的数值算法及结构耦合,可以进行MEMS器件结构及制造工艺的优化,大大节省MEMS器件研发成本和周期。2. The present invention solves the coupling problem of MEMS manufacturing process and geometric configuration. The innovative numerical algorithm and structural coupling can optimize the MEMS device structure and manufacturing process, greatly saving the cost and cycle of MEMS device R&D.
附图说明Description of the drawings
图1是本发明的硅基MEMS多物理场模型的器件性能评估方法流程图;Figure 1 is a flow chart of the device performance evaluation method of the silicon-based MEMS multi-physics model of the present invention;
图2是本发明的器件工艺仿真示意图;Figure 2 is a schematic diagram of the device process simulation of the present invention;
图3是本发明的结构设计拓扑模型示意图;Figure 3 is a schematic diagram of the structural design topology model of the present invention;
图4是本发明的工艺及设计耦合模型示意图;Figure 4 is a schematic diagram of the process and design coupling model of the present invention;
图5是本发明多物理场耦合仿真数值计算结果示意图,其中图5(a)是应力分布图,图5(b)是电压分布图,图5(c)是位移分布图,图5(d)是电流分布图。Figure 5 is a schematic diagram of the numerical calculation results of multi-physics coupling simulation of the present invention, wherein Figure 5(a) is a stress distribution diagram, Figure 5(b) is a voltage distribution diagram, Figure 5(c) is a displacement distribution diagram, and Figure 5(d) ) is the current distribution diagram.
具体实施方式Detailed ways
本发明公开了硅基膜的工艺及多物理场模型的器件性能计算仿真方法,包括:建立硅基MEMS工艺仿真模型,进行MEMS的工艺数值计算;对硅基MEMS的三维结构进行拓扑和建模,从而进行三维多物理场耦合仿真;联合工艺仿真及多物理耦合,建立具有几何构型的工艺-多物理耦合的复合模型;基于重构的复合模型,创建三维网格,并设定工艺以及物理仿真的初始条件和边界条件;通过有限元方法,牛顿插值法等算法,对复合模型进行数值求解;分析不同工艺不同耦合载荷情况,计算出硅基MEMS应力分布,从而评估在复杂情况下硅基MEMS的器件性能。The invention discloses a silicon-based film process and a device performance calculation and simulation method of a multi-physics model, which includes: establishing a silicon-based MEMS process simulation model, performing numerical calculations of the MEMS process; and performing topology and modeling of the three-dimensional structure of the silicon-based MEMS. , thereby performing three-dimensional multi-physics coupling simulation; combining process simulation and multi-physics coupling to establish a process-multi-physics coupling composite model with geometric configuration; based on the reconstructed composite model, create a three-dimensional grid, and set the process and Initial conditions and boundary conditions for physical simulation; numerically solve the composite model through finite element method, Newton interpolation method and other algorithms; analyze different coupling load conditions of different processes, calculate the stress distribution of silicon-based MEMS, and evaluate the performance of silicon-based MEMS under complex conditions. MEMS-based device performance.
下面结合附图和实施例对本发明的技术方案进行详细的说明。The technical solution of the present invention will be described in detail below with reference to the accompanying drawings and examples.
实施例1Example 1
如图1所示,本发明的硅基MEMS工艺与多物理场模型耦合的器件性能评估方法,包括以下步骤:As shown in Figure 1, the device performance evaluation method of coupling the silicon-based MEMS process and the multi-physics model of the present invention includes the following steps:
1:选取硅基MEMS基底:通过分析器件的功能,选取合适硅基MEMS基底,包括普通硅片的晶面,掺杂浓度,表面电阻以及含有氧化硅层的硅片(SOI)等。1: Select a silicon-based MEMS substrate: Select a suitable silicon-based MEMS substrate by analyzing the function of the device, including the crystal surface of ordinary silicon wafers, doping concentration, surface resistance, and silicon wafers containing silicon oxide layers (SOI).
通过分析定义器件的功能,根据不同的功能和物理原理,准备相应的硅基MEMS基底,获得一些器件的基本参数及尺寸;By analyzing and defining the functions of the device, according to different functions and physical principles, the corresponding silicon-based MEMS substrate is prepared to obtain some basic parameters and dimensions of the device;
基底包括不同晶面方向的硅片,对齐进行掺杂的带有电导率的硅片,以及二氧化硅绝缘层上的硅片SOI等,其中带有绝缘层的多层硅片需要对不同层进行物理参数定义。The substrate includes silicon wafers with different crystal plane directions, silicon wafers with conductivity that are aligned and doped, and silicon wafers SOI on the silicon dioxide insulating layer. Among them, multi-layer silicon wafers with insulating layers require different layers. Define physical parameters.
2:如图2所示的器件制造工艺仿真:将建立的硅片MEMS基底进行工艺仿真,进行工艺参数设计,生成不同工艺下的器件结构,获取器件制造工艺仿真结果,步骤如下:2: Device manufacturing process simulation as shown in Figure 2: Perform process simulation on the established silicon wafer MEMS substrate, design process parameters, generate device structures under different processes, and obtain device manufacturing process simulation results. The steps are as follows:
步骤1,工艺参数的确定,针对不同器件设计时的性能要求,进行工艺参数的设计;Step 1, determine the process parameters, and design the process parameters according to the performance requirements of different device designs;
步骤2,依据不同的设计参数和器件尺寸,对器件工艺进行仿真;Step 2: Simulate the device process based on different design parameters and device dimensions;
步骤3,获得的三维器件的工艺仿真模型,可以获取器件在各步骤工艺仿真后的基本尺寸。Step 3: The obtained process simulation model of the three-dimensional device can obtain the basic dimensions of the device after process simulation in each step.
3:如图3器件结构设计拓扑:对得到工艺仿真后的模型进行结构拓扑,对局部工艺仿真后的结构进行进一步细化建模,具体步骤如下:3: Device structure design topology as shown in Figure 3: Carry out structural topology on the model after process simulation, and further refine the modeling of the structure after local process simulation. The specific steps are as follows:
步骤1,得到工艺仿真后的模型,进行三维拓扑结构设计和建模;Step 1: Obtain the model after process simulation and carry out three-dimensional topological structure design and modeling;
步骤2,计算获得器件拓扑后的结构,进一步进行结构细化建模。Step 2: Calculate the structure after obtaining the device topology, and further perform structural refinement modeling.
4:如图4工艺及器件设计耦合模型建立:基于拓扑重构的三维模型,建立工艺及设计耦合模型,创建三维网格,设计耦合边界条件,确定耦合时的物理场类型及相应参数,具体步骤如下:4: Establishment of process and device design coupling model as shown in Figure 4: Based on the three-dimensional model of topology reconstruction, establish process and design coupling model, create three-dimensional grid, design coupling boundary conditions, determine the physical field type and corresponding parameters during coupling, specifically Proceed as follows:
步骤1,基于工艺及器件设计耦合三维数字模型,创建三维网格;Step 1: Create a three-dimensional grid based on the coupled three-dimensional digital model of the process and device design;
步骤2,并基于耦合物理环境,设计耦合边界条件,确定耦合时物理场类型及相应参数。Step 2: Based on the coupling physical environment, design the coupling boundary conditions and determine the physical field type and corresponding parameters during coupling.
5:如图5所示器件工艺和结构多物理场耦合仿真计算,其中图5(a)是应力分布图,图5(b)是电压分布图,图5(c)是位移分布图,图5(d)是电流分布图。具体步骤是:基于器件工作时物理参数与器件设计耦合模型建立步骤生成的三维网格模型,设置计算的初始条件和边界条件,求解多物理场耦合的基本公式,设置计算时有限元、牛顿差值及中心差分等数值算法。其中多物理场的控制方程可以统一表示为:5: Multi-physics coupling simulation calculation of device process and structure as shown in Figure 5, where Figure 5(a) is the stress distribution diagram, Figure 5(b) is the voltage distribution diagram, Figure 5(c) is the displacement distribution diagram, Figure 5(d) is the current distribution diagram. The specific steps are: based on the three-dimensional mesh model generated by the steps of establishing the coupling model of physical parameters and device design when the device is working, setting the initial conditions and boundary conditions for calculation, solving the basic formula of multi-physics coupling, and setting the finite element and Newton difference during calculation. Numerical algorithms such as value and central difference. The governing equations of multiple physics fields can be uniformly expressed as:
f(mj;vi,s)=0(i,j=1,2,…n) (1)f(m j ; v i ,s)=0(i,j=1,2,…n) (1)
其中f是微分算子;mj是材料的物性变量,可以有一或多个;vi是场变量,可以是矢量或标量,可以有一个或多个;s是场的汇或者源,一般情况下为1个。where f is a differential operator; m j is the physical property variable of the material, which can be one or more; vi is a field variable, which can be a vector or scalar, and can have one or more; s is the sink or source of the field, in general 1 below.
器件多物理场耦合仿真计算具体步骤如下:The specific steps for device multi-physics coupling simulation calculation are as follows:
步骤1,基于器件工作时物理参数与器件设计耦合模型建立步骤生成的三维网格模型;Step 1. The three-dimensional mesh model is generated based on the coupling model establishment step of physical parameters and device design when the device is operating;
步骤2,设置计算的初始条件和边界条件,求解多物理场耦合的基本公式,设置计算时有限元、牛顿差值及中心差分等数值算法。Step 2: Set the initial conditions and boundary conditions for calculation, solve the basic formulas for multi-physics coupling, and set numerical algorithms such as finite element, Newton difference and central difference during calculation.
对于器件的仿真计算,还应包括以下二维模型的相关方法:For device simulation calculations, the following two-dimensional model related methods should also be included:
对于二维网格模型,基于器件工作时物理参数与器件设计耦合模型建立步骤生成的二维网格模型;For the two-dimensional grid model, the two-dimensional grid model is generated based on the steps of establishing a coupled model of physical parameters and device design when the device is operating;
二维模型需要将边界条件和初始条件进行简化,需要用到不同的单元类型,计算方法参照三维模型中的计算公式进行二维平面上的投影。The two-dimensional model needs to simplify the boundary conditions and initial conditions, and needs to use different unit types. The calculation method refers to the calculation formula in the three-dimensional model for projection on the two-dimensional plane.
6:复杂情况下的MEMS器件性能评估:基于仿真运算结果分析不同多物理场工况下器件多物理参量分布情况,根据器件使用条件及工艺步骤,性能约束条件以及材料本体物理限制,从而评价复杂情况下MEMS器件的物理性能,并实现工艺和设计优化,具体步骤如下:6: MEMS device performance evaluation under complex conditions: Analyze the distribution of multi-physical parameters of the device under different multi-physics conditions based on simulation operation results, and evaluate complex conditions based on device usage conditions and process steps, performance constraints and physical limitations of the material body. Understand the physical properties of MEMS devices and achieve process and design optimization. The specific steps are as follows:
步骤1,基于基础分析结果,分析不同工艺步骤下器件的应力、温度分布情况,通过模拟不同工况下仿真器件在工艺步骤完成后的工作状态及相关物理参量;Step 1. Based on the basic analysis results, analyze the stress and temperature distribution of the device under different process steps, and simulate the working status and related physical parameters of the device after the completion of the process steps under different working conditions;
步骤2,根据以上不同情况下工艺及器件工作状态下的多物理场耦合仿真,从而评估MEMS器件的性能,并可根据相关物理参量进行结构和工艺优化。Step 2: Based on the multi-physics coupling simulation of the process and device working conditions under the above different situations, the performance of the MEMS device can be evaluated, and the structure and process can be optimized based on the relevant physical parameters.
最后所应说明的是,以上实施例仅用以说明本发明的技术方案而非限制。尽管参照实施例对本发明进行了详细说明,本领域的普通技术人员应当理解,对本发明的技术方案进行修改或者等同替换,都不脱离本发明技术方案的精神和范围,其均应涵盖在本发明的权利要求范围当中。Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention and are not limiting. Although the present invention has been described in detail with reference to the embodiments, those of ordinary skill in the art will understand that modifications or equivalent substitutions may be made to the technical solutions of the present invention without departing from the spirit and scope of the technical solutions of the present invention, and they shall all be covered by the scope of the present invention. within the scope of the claims.
Claims (3)
Priority Applications (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN202211445585.9A CN115809576B (en) | 2022-11-18 | 2022-11-18 | Silicon-based MEMS (micro electro mechanical System) process and multi-physical field coupling device performance evaluation method |
Applications Claiming Priority (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN202211445585.9A CN115809576B (en) | 2022-11-18 | 2022-11-18 | Silicon-based MEMS (micro electro mechanical System) process and multi-physical field coupling device performance evaluation method |
Publications (2)
Publication Number | Publication Date |
---|---|
CN115809576A CN115809576A (en) | 2023-03-17 |
CN115809576B true CN115809576B (en) | 2023-12-22 |
Family
ID=85483466
Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
CN202211445585.9A Active CN115809576B (en) | 2022-11-18 | 2022-11-18 | Silicon-based MEMS (micro electro mechanical System) process and multi-physical field coupling device performance evaluation method |
Country Status (1)
Country | Link |
---|---|
CN (1) | CN115809576B (en) |
Families Citing this family (1)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN118917024B (en) * | 2024-10-11 | 2024-12-13 | 深圳市弘新精密工业有限公司 | Optimal design method of electronic equipment chassis structure based on electromechanical, thermal and three-field coupling |
Citations (4)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN1448870A (en) * | 2003-05-14 | 2003-10-15 | 西安交通大学 | Computer-aided technique planning method for silicon micro-component |
CN101971177A (en) * | 2007-11-30 | 2011-02-09 | 科文托尔公司 | System and method for three-dimensional schematic capture and result visualization of multi-physics system models |
CN112733409A (en) * | 2021-04-02 | 2021-04-30 | 中国电子科技集团公司信息科学研究院 | Multi-source sensing comprehensive integrated composite navigation micro-system collaborative design platform |
CN114088117A (en) * | 2021-11-30 | 2022-02-25 | 中国兵器工业集团第二一四研究所苏州研发中心 | Method for evaluating reliability of MEMS (micro-electromechanical system) inertial device under complex working conditions |
-
2022
- 2022-11-18 CN CN202211445585.9A patent/CN115809576B/en active Active
Patent Citations (4)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN1448870A (en) * | 2003-05-14 | 2003-10-15 | 西安交通大学 | Computer-aided technique planning method for silicon micro-component |
CN101971177A (en) * | 2007-11-30 | 2011-02-09 | 科文托尔公司 | System and method for three-dimensional schematic capture and result visualization of multi-physics system models |
CN112733409A (en) * | 2021-04-02 | 2021-04-30 | 中国电子科技集团公司信息科学研究院 | Multi-source sensing comprehensive integrated composite navigation micro-system collaborative design platform |
CN114088117A (en) * | 2021-11-30 | 2022-02-25 | 中国兵器工业集团第二一四研究所苏州研发中心 | Method for evaluating reliability of MEMS (micro-electromechanical system) inertial device under complex working conditions |
Non-Patent Citations (2)
Title |
---|
MEMS CAD 系统及其关键技术研究;郝文涛 等;《工程图学学报》;正文第1节 * |
基于Petri网的MEMS柔性设计建模方法;徐敬华;张树有;刘晓健;;计算机辅助设计与图形学学报(12);全文 * |
Also Published As
Publication number | Publication date |
---|---|
CN115809576A (en) | 2023-03-17 |
Similar Documents
Publication | Publication Date | Title |
---|---|---|
TWI309846B (en) | System and method for using first-principles simulation to control a semiconductor manufacturing process | |
CN102332046B (en) | Gear crack propagation simulated wavelet extension finite element simulation analysis method | |
WO2017031718A1 (en) | Modeling method of deformation motions of elastic object | |
CN109726465B (en) | Three-dimensional non-adhesive low-speed streaming numerical simulation method based on non-structural curved edge grid | |
CN107944141A (en) | Time-domain calculation electromagnetism numerical method based on hybridization time-discontinuous Galerkin method | |
CN115809576B (en) | Silicon-based MEMS (micro electro mechanical System) process and multi-physical field coupling device performance evaluation method | |
CN106021644A (en) | A method for determining a mixed dimensional model interface constraint equation coefficient | |
CN106023286A (en) | Fluid animation accelerated generation method based on data driving | |
WO2024198599A1 (en) | Variational principle-based neural operator training and partial differential equation system solving integrated method, medium, and product | |
CN105302964B (en) | A kind of thermal analysis method for chip structure | |
CN117854643B (en) | MEMS membrane simulation method and system based on graphic neural network | |
CN110096760B (en) | Numerical simulation method for thermal deformation of workpiece | |
CN111475940B (en) | A Flexible Baseline Dynamic Prediction Method Based on Fiber Bragg Grating Sensors and Wing Modes | |
CN105677995A (en) | Method for numerical solution of fuzzy steady state heat conduction problem based on full grid point collocation theory | |
CN111159956B (en) | Feature-based flow field discontinuity capturing method | |
CN105808508B (en) | It is a kind of to solve the random orthogonal method of deploying for not knowing heat conduction problem | |
CN111462344A (en) | Real-time sectioning interaction method for field data visualization in virtual reality simulation | |
Schröpfer et al. | Novel 3D modeling methods for virtual fabrication and EDA compatible design of MEMS via parametric libraries | |
CN105160130B (en) | A kind of method of the finite difference calculus prediction material thermal conductivity based on 3-D view | |
CN102222142B (en) | Scale-span design method for interface structure of micro/nano/photoelectronic device | |
CN102436514B (en) | Method for updating fluid-solid interaction grid | |
CN116205155A (en) | Data prediction method and device for pusher kiln flow field based on digital twin | |
CN112632825B (en) | Electrostatic field smooth finite element numerical algorithm based on finite element super-convergence | |
CN101655832B (en) | A Physical Deformation Method Based on Scalar Field Gradient | |
CN117421939B (en) | A shale oil fracture system simulation agent method based on trajectory piecewise linearization |
Legal Events
Date | Code | Title | Description |
---|---|---|---|
PB01 | Publication | ||
PB01 | Publication | ||
SE01 | Entry into force of request for substantive examination | ||
SE01 | Entry into force of request for substantive examination | ||
GR01 | Patent grant | ||
GR01 | Patent grant |