In this paper, we survey recent approaches to blue-noise sampling and discuss their beneficial applications. We discuss the sampling algorithms that use points as sampling primitives and classify the sampling algorith...In this paper, we survey recent approaches to blue-noise sampling and discuss their beneficial applications. We discuss the sampling algorithms that use points as sampling primitives and classify the sampling algorithms based on various aspects, e.g., the sampling domain and the type of algorithm. We demonstrate several well-known applications that can be improved by recent blue-noise sampling techniques, as well as some new applications such as dynamic sampling and blue-noise remeshing.展开更多
In this paper, the methodology of an Finite Element Method (FEM) based process modeling program is first described using DEFORMTM as an example. DEFORMTM was originally designed for metal forming applications. While i...In this paper, the methodology of an Finite Element Method (FEM) based process modeling program is first described using DEFORMTM as an example. DEFORMTM was originally designed for metal forming applications. While its FEM engine employs the updated Lagrangian method, DEFORMTM includes an automated remeshing procedure so as to continue the simulation when the mesh is severely distorted. Due to its unique remeshing capability, the use of the code has been extended to other manufacturing processes, such as welding, machining, heat treatment and glass forming. The heat treatment enhancement includes the phase transformation kinetics. To demonstrate the methodology, applications of the program to various manufacturing processes such as ingot breakdown, extrusion, forging and heat treatment, are presented in this paper.展开更多
基金This work was partially supported by the National Natural Science Foundation of China under Grant Nos. 61372168, 61373071, 61372190, and 61331018, the Scientific Research Foundation for the Returned Overseas Chinese Scholars of State Education Ministry of China, the Visual Computing Center at King Abudullah University of Science and Technology （KAUST）, and the Open Funding Project of the State Key Laboratory of Virtual Reality Technology and Systems, Beihang University, under Grant Nos. BUAA-VR- 15KF-06 and BUAA-VR-14KF-10.
文摘In this paper, we survey recent approaches to blue-noise sampling and discuss their beneficial applications. We discuss the sampling algorithms that use points as sampling primitives and classify the sampling algorithms based on various aspects, e.g., the sampling domain and the type of algorithm. We demonstrate several well-known applications that can be improved by recent blue-noise sampling techniques, as well as some new applications such as dynamic sampling and blue-noise remeshing.
文摘In this paper, the methodology of an Finite Element Method (FEM) based process modeling program is first described using DEFORMTM as an example. DEFORMTM was originally designed for metal forming applications. While its FEM engine employs the updated Lagrangian method, DEFORMTM includes an automated remeshing procedure so as to continue the simulation when the mesh is severely distorted. Due to its unique remeshing capability, the use of the code has been extended to other manufacturing processes, such as welding, machining, heat treatment and glass forming. The heat treatment enhancement includes the phase transformation kinetics. To demonstrate the methodology, applications of the program to various manufacturing processes such as ingot breakdown, extrusion, forging and heat treatment, are presented in this paper.
