A Shape Optimization Scheme With Coupling of Parametric and Freeform Shape Evolution

2004 ◽  
Author(s):  
Jie Shen ◽  
David Yoon ◽  
Nilesh Patel
Keyword(s):  
Numerical Experiment ◽  
Shape Optimization ◽  
Large Scale ◽  
Geometric Design ◽  
Optimization Process ◽  
Shape Evolution ◽  
Optimization Scheme ◽  
Polygonal Mesh ◽  
Mesh Model ◽  
Surface Partitioning

In this paper we propose a new shape optimization scheme for better geometric design starting from a base polygonal mesh model. The important features of our approach include: 1) surface partitioning scheme for handling large-scale polygonal meshes; 2) coupling of parametric and freeform shape evolution for efficient and effective solutions. 3) an optimization process constrained by constant volume in 3D cases. Numerical experiment indicates the effectiveness of the proposed approach.

Alexandria, Kom el-Dikka. Fieldwork in the 2019 season

2020 ◽  
pp. 469-496
Author(s):  
Grzegorz Majcherek
Keyword(s):  
Large Scale ◽  
Direct Evidence ◽  
Geometric Design ◽  
Late Antique ◽  
Construction Work ◽  
Floor Tiles ◽  
Stone Material ◽  
The Mediterranean ◽  
Late Roman

The report offers an account of archaeological and conservation work carried out at the site. Excavations in the central part of the site (Sector F) were continued for the fourth season in a row. Exploration of remains of early Roman houses led to the discovery of a well preserved multicolored triclinium mosaic floor with a floral and geometric design. A large assemblage of fragments of polychrome marble floor tiles, recorded in the house collapse, showed the scale of importation of decorative stone material from various regions of the Mediterranean. Overlying the early Roman strata was direct evidence of intensive construction work carried out in the vicinity in the form of large-scale kilnworks, supplying lime most probably for the building of the late Roman bath and cistern. Included in the presentation is a brief review of the limited conservation work that was conducted in the complex of late antique auditoria.

scholarly journals The information complexity of learning tasks, their structure and their distance

2021 ◽  
Author(s):  
Alessandro Achille ◽  
Giovanni Paolini ◽  
Glen Mbeng ◽  
Stefano Soatto
Keyword(s):  
Kolmogorov Complexity ◽  
Large Scale ◽  
Parametric Model ◽  
Training Dataset ◽  
Optimization Scheme ◽  
Learning Tasks ◽  
Asymmetric Distance ◽  
Special Cases ◽  
Scale Models ◽  
Real World Datasets

Abstract We introduce an asymmetric distance in the space of learning tasks and a framework to compute their complexity. These concepts are foundational for the practice of transfer learning, whereby a parametric model is pre-trained for a task, and then fine tuned for another. The framework we develop is non-asymptotic, captures the finite nature of the training dataset and allows distinguishing learning from memorization. It encompasses, as special cases, classical notions from Kolmogorov complexity and Shannon and Fisher information. However, unlike some of those frameworks, it can be applied to large-scale models and real-world datasets. Our framework is the first to measure complexity in a way that accounts for the effect of the optimization scheme, which is critical in deep learning.

Performance Prediction and Optimization of Low Pressure Steam Turbine Radial Diffuser at Design and Off-Design Conditions Using Streamline Curvature Method

2017 ◽  
Vol 139 (7) ◽  
Author(s):  
Luying Zhang ◽  
Francesco Congiu ◽  
Xiaopeng Gan ◽  
David Karunakara
Keyword(s):  
Steam Turbine ◽  
Flow Separation ◽  
Large Scale ◽  
Current Method ◽  
Low Pressure ◽  
Numerical Approach ◽  
Optimization Process ◽  
Exhaust Hood ◽  
Streamline Curvature ◽  
Wide Range

The performance of the radial diffuser of a low pressure (LP) steam turbine is important to the power output of the turbine. A reliable and robust prediction and optimization tool is desirable in industry for preliminary design and performance evaluation. This is particularly critical during the tendering phase of retrofit projects, which typically cover a wide range of original equipment manufacturer and other original equipment manufacturers designs. This work describes a fast and reliable numerical approach for the simulation of flow in the last stage and radial diffuser coupled with the exhaust hood. The numerical solver is based on a streamline curvature throughflow method and a geometry-modification treatment has been developed for off-design conditions, at which large-scale flow separation may occur in the diffuser domain causing convergence difficulty. To take into account the effect of tip leakage jet flow, a boundary layer solver is coupled with the throughflow calculation to predict flow separation on the diffuser lip. The performance of the downstream exhaust hood is modeled by a hood loss model (HLM) that accounts for various loss generations along the flow paths. Furthermore, the solver is implemented in an optimization process. Both the diffuser lip and hub profiles can be quickly optimized, together or separately, to improve the design in the early tender phase. 3D computational fluid dynamics (CFD) simulations are used to validate the solver and the optimization process. The results show that the current method predicts the diffuser/exhaust hood performance within good agreement with the CFD calculation and the optimized diffuser profile improves the diffuser recovery over the datum design. The tool provides General Electric the capability to rapidly optimize and customize retrofit diffusers for each customer considering different constraints.

scholarly journals Large scale shape optimization for accelerator cavities

2009 ◽  
Vol 180 ◽  
pp. 012001 ◽  
Author(s):  
Volkan Akcelik ◽  
Lie-Quan Lee ◽  
Zenghai Li ◽  
Cho Ng ◽  
Liling Xiao ◽  
...  
Keyword(s):  
Shape Optimization ◽  
Large Scale

Process Optimization for Suction Plastic Forming of In-Mold Decoration Plastic Sheet with CAE

2010 ◽  
Vol 102-104 ◽  
pp. 74-78
Author(s):  
Bin Gao ◽  
Xiu Rong Nan ◽  
Bai Zhong Wu
Keyword(s):  
Process Optimization ◽  
Thin Shell ◽  
Optimization Methods ◽  
Analysis Software ◽  
Optimization Scheme ◽  
Forming Process ◽  
Element Analysis ◽  
Plastic Sheet ◽  
Mesh Model ◽  
Plastic Forming

The suction plastic forming process for in-mold decoration plastic sheet has been the best process for thin-shell plastic exterior decoration parts. But the suction plastic forming products still suffers from the uneven thickness. Based on the general finite element analysis software POLYFLOW for viscoelastic fluid, a set of optimization methods for suction plastic forming process of in-mold decoration plastic sheet is introduced in this paper to reduce the uneven level of thickness. These methods include establishing process optimization scheme, building mesh model, selecting the material constitutive model and determining its parameters, imposing boundary conditions and blowing pressure, and applying the mold movement. Finally, the optimized suction plastic forming process is used to produce the in-mold decoration plastic rear bumper sample of an automobile, and the results show that optimized process is effective and applicable.

Mesh simplification algorithm based on edge curvature metrics and local optimization

2020 ◽  
Vol 11 (01) ◽  
pp. 1950042
Author(s):  
Jun Huang ◽  
Xiuhui Wang ◽  
Jun Wang
Keyword(s):  
Large Scale ◽  
Triangular Mesh ◽  
Small Error ◽  
Mesh Simplification ◽  
Mesh Model ◽  
Execution Speed ◽  
Edge Collapse ◽  
Approximate Measurement ◽  
Improved Algorithm

Aiming at the problem that the mesh simplification algorithm loses the geometric features of the model in large-scale simplification, an improved half-edge collapse mesh simplification algorithm is proposed. The concept of approximate measurement of edge curvature is introduced, and the edge curvature is added to the error measure, so that the order of half-edge collapse of the mesh is changed, and the simplified details of the mesh model can be preserved accurately. At the same time, by analyzing the quality of simplified triangular mesh, optimizing triangular mesh locally, reducing the amount of narrow triangles, the quality of the simplified model is improved. The proposed algorithm was tested on Cow model, Car model and Bunny model, and compared with another three algorithms, one of them is a classical mesh simplification algorithm based on edge collapse, the other is an improved algorithm of the classical one. The experimental results show that the improved algorithm can better retain the detail features of the original model at the same reduction ratio, and has reasonable mesh allocation, fast execution speed and small error.

Large-scale growth and shape evolution of bismuth ferrite particles with a hydrothermal method

2011 ◽  
Vol 126 (3) ◽  
pp. 560-567 ◽  
Author(s):  
Xian-Zhi Chen ◽  
Zhong-Cheng Qiu ◽  
Jian-Ping Zhou ◽  
Gangqiang Zhu ◽  
Xiao-Bing Bian ◽  
...  
Keyword(s):  
Hydrothermal Method ◽  
Large Scale ◽  
Bismuth Ferrite ◽  
Shape Evolution ◽  
Scale Growth

Network Redundancy: A Key Design Factor for Cooling Networks

2020 ◽  
Author(s):  
Reza Pejman ◽  
Ahmad Raeisi Najafi
Keyword(s):  
Shape Optimization ◽  
Design Optimization ◽  
Cooling Efficiency ◽  
Temperature Uniformity ◽  
Optimization Scheme ◽  
Design Factor ◽  
Numerical Examples ◽  
Optimization Framework ◽  
Hybrid Topology ◽  
Operating Constraints

Abstract Microvascular composite offers a variety of multi-functionality based on the choice of fluid flowing through the embedded microchannels. The design of the microchannel network in microvascular composites is quite challenging. Indeed, the design is often expected to have high cooling efficiency, satisfy the manufacturing and operating constraints, and also have redundancy to increase the temperature uniformity and alleviate the destructive effects of potential microchannel blockage. In this study, we present a design optimization framework to satisfy these requirements. We use the Hybrid Topology/Shape (HyTopS) optimization scheme to design a redundant blockage-tolerant cooling network. In this method, the optimizer can change the topology of the design during the shape optimization process. Being able to modify the topology of the network enables the optimizer to provide network redundancy to effectively optimize the design for blockage tolerance. We also solve several numerical examples to show the unique features of the proposed method.

Tooth Root Shape Optimization of Thin-Rimmed Planet Gears

2019 ◽  
Author(s):  
Chen-Xiang Chao ◽  
Dieter Bestle ◽  
David Krüger
Keyword(s):  
Shape Optimization ◽  
High Power ◽  
Load Capacity ◽  
Weight Ratio ◽  
Optimization Process ◽  
Tooth Root ◽  
Turbofan Engines ◽  
To Come

Abstract Planetary gearboxes in highly sophisticated applications such as turbofan engines are required to have a high power-to-weight ratio and excellent reliability. Hence, thin-rimmed gear units need to be designed as compact as possible which, however, is usually limited by the tooth root load capacity. In order to come up with the best design, a tooth root shape optimization process is developed for thin-rimmed planet gears.

Sign in / Sign up

Export Citation Format

Share Document