基于Creo/parametric,HyperMesh的装船机臂架有限元建模

装船机用于装船作业的连续式机械。它与后方皮带机系统相衔接,是一种高效率的港口装械作业机械。装船机高频率、高负荷的作业状态,复杂的工况,超大的自重载荷,使得装船机各种性能尤其是动态性能在很大程度上决定了装船机的安全、稳定运行的主导因素。

Enhanced picosecond terahertz wave generation based on cascade effects in a terahertz parametric generator

Enhanced terahertz wave generation via a Stokes cascade process has been demonstrated using picosecond pulse pumped terahertz parametric generation at 1 kHz repetition rate.Clear cascade saturation of terahertz output was observed,and the corresponding cascade-Stokes spectra were analyzed.The maximum terahertz wave average power was 22μW under a pump power of 30 W,whereas the maximum power conversion efficiency was 8×10^(-7)under a pump power of 21 W.The THz power fluctuation was measured to be about 1%in 20 min.This THz parametric source with a relatively stable output is suitable for a variety of practical applications.

Parametric instability in the pure-quartic nonlinear Schrödinger equation

We study the nonlinear stage of modulation instability(MI)in the non-intergrable pure-quartic nonlinear Schrödinger equation where the fourth-order dispersion is modulated periodically.Using the three-mode truncation,we reveal the complex recurrence of parametric resonance(PR)breathers,where each recurrence is associated with two oscillation periods(PR period and internal oscillation period).The nonlinear stage of parametric instability admits the maximum energy exchange between the spectrum sidebands and central mode occurring outside the MI gain band.

Parametric resonance of axially functionally graded pipes conveying pulsating fluid

Based on the generalized Hamilton's principle,the nonlinear governing equation of an axially functionally graded(AFG)pipe is established.The non-trivial equilibrium configuration is superposed by the modal functions of a simply supported beam.Via the direct multi-scale method,the response and stability boundary to the pulsating fluid velocity are solved analytically and verified by the differential quadrature element method(DQEM).The influence of Young's modulus gradient on the parametric resonance is investigated in the subcritical and supercritical regions.In general,the pipe in the supercritical region is more sensitive to the pulsating excitation.The nonlinearity changes from hard to soft,and the non-trivial equilibrium configuration introduces more frequency components to the vibration.Besides,the increasing Young's modulus gradient improves the critical pulsating flow velocity of the parametric resonance,and further enhances the stability of the system.In addition,when the temperature increases along the axial direction,reducing the gradient parameter can enhance the response asymmetry.This work further complements the theoretical analysis of pipes conveying pulsating fluid.

Harmonic balance simulation of the influence of component uniformity and reliability on the performance of a Josephson traveling wave parametric amplifier

A Josephson traveling wave parametric amplifier(JTWPA),which is a quantum-limited amplifier with high gain and large bandwidth,is the core device of large-scale measurement and control systems for quantum computing.A typical JTWPA consists of thousands of Josephson junctions connected in series to form a transmission line and hundreds of shunt LC resonators periodically loaded along the line for phase matching.Because the variation of these capacitors and inductors can be detrimental to their high-frequency characteristics,the fabrication of a JTWPA typically necessitates precise processing equipment.To guide the fabrication process and further improve the design for manufacturability,it is necessary to understand how each electronic component affects the amplifier.In this paper,we use the harmonic balance method to conduct a comprehensive study on the impact of nonuniformity and fabrication yield of the electronic components on the performance of a JTWPA.The results provide insightful and scientific guidance for device design and fabrication processes.

Modularized and Parametric Modeling Technology for Finite Element Simulations of Underground Engineering under Complicated Geological Conditions

The surrounding geological conditions and supporting structures of underground engineering are often updated during construction,and these updates require repeated numerical modeling.To improve the numerical modeling efficiency of underground engineering,a modularized and parametric modeling cloud server is developed by using Python codes.The basic framework of the cloud server is as follows:input the modeling parameters into the web platform,implement Rhino software and FLAC3D software to model and run simulations in the cloud server,and return the simulation results to the web platform.The modeling program can automatically generate instructions that can run the modeling process in Rhino based on the input modeling parameters.The main modules of the modeling program include modeling the 3D geological structures,the underground engineering structures,and the supporting structures as well as meshing the geometric models.In particular,various cross-sections of underground caverns are crafted as parametricmodules in themodeling program.Themodularized and parametric modeling program is used for a finite element simulation of the underground powerhouse of the Shuangjiangkou Hydropower Station.This complicatedmodel is rapidly generated for the simulation,and the simulation results are reasonable.Thus,this modularized and parametric modeling program is applicable for three-dimensional finite element simulations and analyses.

Meta-Auto-Decoder:a Meta-Learning-Based Reduced Order Model for Solving Parametric Partial Differential Equations

Many important problems in science and engineering require solving the so-called parametric partial differential equations(PDEs),i.e.,PDEs with different physical parameters,boundary conditions,shapes of computational domains,etc.Typical reduced order modeling techniques accelerate the solution of the parametric PDEs by projecting them onto a linear trial manifold constructed in the ofline stage.These methods often need a predefined mesh as well as a series of precomputed solution snapshots,and may struggle to balance between the efficiency and accuracy due to the limitation of the linear ansatz.Utilizing the nonlinear representation of neural networks(NNs),we propose the Meta-Auto-Decoder(MAD)to construct a nonlinear trial manifold,whose best possible performance is measured theoretically by the decoder width.Based on the meta-learning concept,the trial manifold can be learned in a mesh-free and unsupervised way during the pre-training stage.Fast adaptation to new(possibly heterogeneous)PDE parameters is enabled by searching on this trial manifold,and optionally fine-tuning the trial manifold at the same time.Extensive numerical experiments show that the MAD method exhibits a faster convergence speed without losing the accuracy than other deep learning-based methods.

Research on Urban Building Parametric Modelling Method Based on CityEngine

With the advancement of technology and the development of cities,urban planning and management methods are also constantly improving.From paper-based assignments to modern digitization,new technologies have enabled more efficient design and management for cities.3D modeling can used to simulate the urban environment,which can assist in urban planning and management.However,large-scale modeling cannot be achieved through existing modeling methods,and there are still some shortcomings in the maintenance of the model.Therefore,this article proposes a Computer Generated Architecture(CGA)parametric 3D modeling method based on CityEngine.Research on expanding and customizing modeling rules to create indoor and outdoor modeling rule templates for buildings and methods for generating urban 3D models have been carried out.The results have shown that the completed model can be displayed on different platforms thanks to parameterized modeling.The model can be modified easily and directly applied to the analysis and decision-making of urban planning schemes.

Comparison of Type I Error Rates of Siegel-Tukey and Savage Tests among Non-Parametric Tests

This study aimed to examine the performance of the Siegel-Tukey and Savage tests on data sets with heterogeneous variances. The analysis, considering Normal, Platykurtic, and Skewed distributions and a standard deviation ratio of 1, was conducted for both small and large sample sizes. For small sample sizes, two main categories were established: equal and different sample sizes. Analyses were performed using Monte Carlo simulations with 20,000 repetitions for each scenario, and the simulations were evaluated using SAS software. For small sample sizes, the I. type error rate of the Siegel-Tukey test generally ranged from 0.045 to 0.055, while the I. type error rate of the Savage test was observed to range from 0.016 to 0.041. Similar trends were observed for Platykurtic and Skewed distributions. In scenarios with different sample sizes, the Savage test generally exhibited lower I. type error rates. For large sample sizes, two main categories were established: equal and different sample sizes. For large sample sizes, the I. type error rate of the Siegel-Tukey test ranged from 0.047 to 0.052, while the I. type error rate of the Savage test ranged from 0.043 to 0.051. In cases of equal sample sizes, both tests generally had lower error rates, with the Savage test providing more consistent results for large sample sizes. In conclusion, it was determined that the Savage test provides lower I. type error rates for small sample sizes and that both tests have similar error rates for large sample sizes. These findings suggest that the Savage test could be a more reliable option when analyzing variance differences.

基于Creo Parametric的包装机曲柄滑块机构的优化设计

在Creo Parametric中,通过骨架模型,创建了偏置曲柄滑块机构模型,并对曲柄滑块机构进行了运动分析,应用Creo Parametric的行为建模功能,将滑块行程、最小压力角作为约束,对曲柄与连杆的长度进行了优化设计。该方法简单、实用性强,具有很大的推广价值,为曲柄滑块机构的设计提供了新的思路。

基于Creo Parametric的新型防堵装置运动仿真

结合被动式防堵装置和动力驱动式防堵装置的优缺点,开发了一种新型的滑板压秆旋切式防堵装置,并分析了该防堵装置的结构和工作原理。同时,采用Creo Parametric软件建立了三维几何模型,并通过Creo Parametric软件的机构模块对关键部件进行了干涉和运动仿真分析。通过分析确保该装置各部件之间不存在干涉,并得到其关键部件旋切平面刀端点的速度、速度X方向分量、速度Y方向分量及加速度、加速度X方向分量和加速度Y方向分量随时间的变化规律,旨在为滑板压秆旋切式防堵装置的结构优化提供科学依据。

基于Creo Parametric软件平台的混合式建模方法研究

计算机辅助工业设计在设计流程中的应用越来越广泛。通过对参数化建模和自由式建模的对比研究,指出了这两种方法各自的弊端,提出基于Creo Parametric软件平台的混合式建模办法。以电吹风产品模型构建的案例来说明混合式建模方法的工作流程,并通过模型分析验证了这种方法的可行性。

基于Creo Parametric的易拉罐外形尺寸的优化设计

结合实例应用Creo Parametric的行为建模功能,对易拉罐的外形尺寸进行了优化设计。在Creo Paramet-ric中以易拉罐外形尺寸为设计变量,以易拉罐容积为约束条件,以易拉罐金属用量最小为设计目标,进行了优化设计。该方法操作简便、优化结果可靠、推广性强。为易拉罐及其他包装容器的优化设计提供了新的思路。

基于Creo Parametric的风机叶片建模方法研究

由于风机叶片在三维软件中直接建模的复杂度,探讨了一种较快捷创建风机叶片的建模方法。利用NACA软件生成叶片翼型截面离散点坐标,并将结果导入Creo Parametric软件。通过混合等命令,将多段翼型截面曲线生成光滑的叶片曲面模型,并对生成的实体表面进行了曲面分析与检查。最后利用Flow Simulation等软件,对叶片进行了流体仿真及模态分析,得出了叶片压力最大值在叶片的设计承受范围内,且叶片一阶固有频率远大于风机转动时的频率,叶片发生共振的可能性很小的结论,很好的证明了叶片建模方法的可行性和实用性。通过这种建模方法,将很大程度减少叶片在设计时的工作强度与难度,提高设计人员的设计效率。

利用Creo Parametric的机构分析对装配中的碰撞关系进行精确求解

利用Creo Parametric软件的机构功能,通过"碰撞检测设置"选项,对元件运动过程中发生的碰撞作出警告提示。建立机构分析,设置合理的运动参数,并对运动进行动画回放,找到元件碰撞接触时的准确位置。

基于Creo Parametric技术的马尾松微观模型构建

【目的】为实现木材微观构造的宏观化,更直观全透认识木材生物结构,将其细胞组织从二维平面图像转到三维立体图像,基于参数化设计模块Creo Parametric建模技术,构建出马尾松Pinus massoniana微观构造的立体模型。【方法】首先通过光学显微镜观察马尾松三切面的微观构造图像,然后对构成马尾松木材各类组织的细胞类型、组织比量和形态尺寸进行观测定量化分析;基于观察与分析结果,对马尾松典型细胞的结构形貌及胞壁上结构特征进行三维模型构建,将构建的模型导入弘瑞3D打印系统(modellight)进行模拟分析与模型打印。【结果】针叶材马尾松解剖分子排列规则,管胞约占木材体积90%,其他细胞为木射线、轴向薄壁组织和树脂道等。基于各类细胞的真实形态特征构建单个细胞模型,在单个细胞的3D模型基础上根据各类组织分布与排列规律将各细胞进行组装,获得针叶材马尾松木材微观构造的立体模型。运用3D打印技术将虚拟的模型实体化,构造出等比例放大200倍的微观实物模型。【结论】本研究证实3D技术在木材微观构造水平建模的可行性,将丰富的木材微观结构以实体化的形式展现,为充分了解木材内部特征提供便利,也为木材学教学和木材美学价值开发提供参考,为植物遗态生物质高性能仿生材料研究提供生物学理论基础。

Table-top optical parametric chirped pulse amplifiers: past and present

The generation of power-and wavelength-scalable few optical cycle pulses remains one of the major challenges in modern laser physics.Over the past decade,the development of table-top optical parametric chirped pulse amplificationbased systems was progressing at amazing speed,demonstrating excellent performance characteristics in terms of pulse duration,energy,peak power and repetition rate,which place them at the front line of modern ultrafast laser technology.At present,table-top optical parametric chirped pulse amplifiers comprise a unique class of ultrafast light sources,which currently amplify octave-spanning spectra and produce carrier-envelope phase-stable,few optical cycle pulses with multi-gigawatt to multi-terawatt peak powers and multi-watt average powers,with carrier wavelengths spanning a considerable range of the optical spectrum.This article gives an overview on the state of the art of table-top optical parametric chirped pulse amplifiers,addressing their relevant scientific and technological aspects,and provides a short outlook of practical applications in the growing field of ultrafast science.

Nonlinear optical imaging by detection with optical parametric amplification(invited paper)

Nonlinear optical imaging is a versatile tool that has been proven to be exceptionally useful in various research fields.However,due to the use of photomultiplier tubes(PMTs),the wide application of nonlinear optical imaging is limited by the incapability of imaging under am-bient light.In this paper,we propose and demonstrate a new optical imaging detection method based on optical parametric amplification(OPA).As a nonlinear optical process,OPA in-trinsically rejects ambient light photons by coherence gating.Periodical poled lithium niobate(PPLN)crystals are used in this study as the media for OPA.Compared to bulk nonlinear optical crystals,PPLN crystals support the generation of OPA signal with lower pump power.Therefore,this characteristic of PPLN crystals is particularly beneficial when using high-repetition-rate lasers,which facilitate high-speed optical signal detection,such as in spec-troscopy and imaging.A PPLN-based OPA system was built to amplify the emitted imaging signal from second harmonic generation(SHG)and coherent anti-Stokes Raman scattering(CARS)microscopy imaging,and the amplified optical signal was strong enough to be detected by a biased photodiode under ordinary room light conditions.With OPA detection,ambient-light-on SHG and CARS imaging becomes possible,and achieves a similar result as PMT detection under strictly dark environments.These results demonstrate that OPA can be used as a substitute for PMTs in nonlinear optical imaging to adapt it to various applications with complex.light ing conditions.

Coordinate-Parametric Matrix Model Inspired Square-Conjoint Pattern in Cross Woven for Conventional Bamboo Mat

In the study,it is proposed that a coordinate-parametric matrix model is performed to a square-conjoint pattern of cross woven(SCPCW)in the bamboo mat.The patterns of SCPCW are firstly detected according to the perspective of configuration,which is divided into the basic-monomer shape and the basic combination shape.Secondly,the compositions of design patterns in SCPCW are analyzed to attain the trend of curve shape.Based on the coordinate-parametric matrix model,the specimens of SCPCW are subsequently accomplished to elaborate the woven logic of bamboo mats.The digital innovation of SCPCW,defined by a mathematical resolution,is implemented by the software of Grasshopper(GH),which plays a crucial role in capturing image information by the Image Sampler component.Successively,the weaving logic of coordinated matrix is referred to apply in the computing component of Grasshopper software.Finally,the computer simulation could demonstrate that the coordinate-parametric matrix model of SCPCWwould be realized to analyze the micro-weaving structure and overall weaving effect in the bamboo mat.

基于Creo Parametric“轨迹曲线”的袋成型包装机热封凸轮廓线设计

通过对热封机构工作原理的分析,将凸轮坯作为"纸零件",摆杆滚子中心点作为参考,基于Creo Parametric机构模块的"轨迹曲线"功能,绘制给定从动件运动规律下的凸轮轮廓线(凸轮轮廓线即为从动件与主动件相对运动的公共曲线的等距曲线)的等距曲线,进而精确、快捷地构建袋成型包装机热封凸轮三维模型,并以某型号包装机热封凸轮为例对该方法进行了验证。该方法操作简单、直观,只要将热封机构中凸轮与摆杆两部件的运动规律表达清楚,便可应用运动分析结果进行凸轮轮廓等距曲线的绘制,结合Creo强大的参数化功能,还可方便再生模型。该方法可推广应用获取所有完成相对运动的两部件之间的关键曲线,如刀具加工产品的轮廓曲线。