scholarly journals Forming Process Simulation of Truss Core Panel

2008 ◽  
Vol 74 (746) ◽  
pp. 1379-1385 ◽  
Author(s):  
Sunao TOKURA ◽  
Ichiro HAGIWARA
2010 ◽  
Vol 4 (1) ◽  
pp. 25-35 ◽  
Author(s):  
Sunao TOKURA ◽  
Ichiro HAGIWARA

Author(s):  
Shiyong Yang ◽  
Kikuo Nezu

Abstract An inverse finite element (FE) algorithm is proposed for sheet forming process simulation. With the inverse finite element analysis (FEA) program developed, a new method for concurrent engineering (CE) design for sheet metal forming product and process is proposed. After the product geometry is defined by using parametric patches, the input models for process simulation can be created without the necessity to define the initial blank and the geometry of tools, thus simplifying the design process and facilitating the designer to look into the formability and quality of the product being designed at preliminary design stage. With resort to a commercially available software, P3/PATRAN, arbitrarily three-dimensional product can be designed for manufacturability for sheet forming process by following the procedures given.


Author(s):  
Hoan Thai Tat Nguyen ◽  
Phuong Thao Thai ◽  
Bo Yu ◽  
Ichiro Hagiwara

Although honeycomb panel is widely used in various stages, its adhesive for gluing honeycomb core and plate may burn by fire, leading to the requirement of another lightweight and high stiffness panel. Recently, an Origami structure called Truss Core Panel (TCP) is known as a lightweight structure that has equivalent bending stiffness as honeycomb panel, and safer in fire. However, some difficulties are found in forming TCP in general. In this study, a new forming process of TCP based on origami-forming is developed. In particular, the TCP is partitioned into several parts that are flat unfoldable into 2D crease patterns. After that, blanks of material are cut as the shapes of those crease pattern, and be formed by a robot system to get the desired 3D shape. Firstly, partition method by dividing TCP into pyramid cores and sheet plate is presented, suggesting an ability to manufacture a wider range of structure than before. Tools arrangement of robot device and a countermeasure for springback are considered. Next, by applying Origami unfolding technique, an improvement of partition method is proposed: dividing TCP into cores rows, and then searching for a Origami crease pattern in order to fold that cores row. The cutting method of every core is modified for reducing the number of facets, making the problem simpler. Finally, an Origami crease pattern based on this new cutting method is presented, producing cores row with any number of cores.


2011 ◽  
Vol 271-273 ◽  
pp. 1224-1227
Author(s):  
Fang Qi Cheng

To avoid the defects of plastic products and improve product quality have been an important problem for mold designers. In this paper, Autodesk Moldflow software are applied to a plastic control cover injection molding process simulation and find out the actual molding process and true conditions of the dynamic filling, pressure and cooling process in the process of forming. The forming process of parameters such as pressure, temperature and speed are given in order to improve the accuracy of the mould design and product precision.


2010 ◽  
Vol 160-162 ◽  
pp. 446-449
Author(s):  
Xiu Long Chen ◽  
Huai Bo Shan ◽  
Xi Hua Liu ◽  
Gui Lian Wang

In order to solve spring-back problem of the stamping forming process, A method for stamping forming and spring-back process simulation of automotive panel by finite element technologies was proposed. The solid model of automobile right side strengthening panel was created in UG software and transmitted to Dynaform. The stamping forming and spring-back process simulation were realized by using Dynaform. The distribution of strain, the variety of the sheet thickness and the spring-back were analyzed. The maximum stress or strain, the minimum thickness and the maximum spring-back were obtained. The simulation results can reflect the real stamping forming of the strengthening panel, and forecast the possibly spring-back value in stamping process. This research can optimize the stamping process and provide strong references for the design of the automotive panel die.


Author(s):  
Antonio Del Prete ◽  
Teresa Primo ◽  
Alfredo Elia

The numerical simulation of the forming process is a consolidated technique to verify, a priori, the effectiveness of the designed “method” to realize components obtained by sheet metal forming. As it is used in the industrial field at present, the limit of the forming simulation is that simulation results are based on an initial hypothesis that isn’t really true, that is on the hypothesis that the forming process is deterministic. Facts prove such affirmation is wrong considering that each input variable/datum of the simulation is non-deterministic by definition [1]. Therefore, a more realistic approach that uses the process simulation should consider this uncertainty by treating the process parameters as uncertain in an admissible domain. The authors are, at the moment, engaged in the development of an on line control and test system based on acquisition modules composed by a laser and two CCD video cameras. Its aim is to allow the statistical monitoring of the forming process through the investigation of the produced parts, and to point out, with a sufficient confidence level, situations of incipient process drift. The sampling frequency is 1, 2 parts per minute depending on the part main dimensions, therefore an express loading system of the part has been designed without clamps adoption [2]. The support provided by the non-deterministic simulation to the on line control system is very important. In fact, in the first phase of the production screening, for each produced part it allows to verify the areas that have a higher “risk” of defect on the basis of the simulation results. Moreover, as well as the simulation supplies useful suggestions on the areas of each piece at top priority where the quality control is executed, the quality control system can also provide interesting information for the non-deterministic process simulation system, thanks to the data and the measurements carried out on line, in order to increase the numerical-experimental correlation of the designed control system.


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