Finite element simulation and optimization design of biodegradable seedling pot

Author(s):  
Xing-Dong Liu ◽  
Shu-Jun Li ◽  
Lu-Jia Han ◽  
Quan-Rong Jing ◽  
Dao-Yi Li ◽  
...  
2013 ◽  
Vol 395-396 ◽  
pp. 1206-1211 ◽  
Author(s):  
Yang Li ◽  
Zhong Lei Wang ◽  
Xiao Li ◽  
Gang Cheng

For the difficulty of calculating the size of the Pre-Manufactured hole of flanging, the formula was derived by using the theory of equal line length and the theory of equal area. And the formula was verified by finite element simulation. Due to theoretical formula has certain error, the optimal design method based on interpolation was put forward and optimization design the size of the Pre-Manufactured hole of flanging. Engineering example shows that this optimization design method is accuracy and convergence speed, and it can quickly calculate the the size of the Pre-Manufactured hole of flanging.


Author(s):  
Martin Krause ◽  
Daniel Steinert ◽  
Eric Starke ◽  
Uwe Marschner ◽  
Günther Pfeifer ◽  
...  

Numerous vibrating electromechanical systems miss a rigid connection to the inertial frame. An artificial inertial frame can be generated by a shaker which compensates for vibrations. In this paper we present an encapsulated and perforated unimorph bending plate for this purpose. As basis for system simulation and optimization a new 3-port multi domain network model was derived. An extension of the network allows the simulation of the acoustical behavior inside the capsule. Network parameters are determined using Finite Element simulations. The dynamic behavior of the network model agrees with the Finite Element simulation results up to the first resonance of the system. The network model was verified by measurements on a laboratory setup, too.


2018 ◽  
Vol 2018 ◽  
pp. 1-14
Author(s):  
Zhi-Jun Lyu ◽  
Qi Lu ◽  
YiMing Song ◽  
Qian Xiang ◽  
Guanghui Yang

The rack columns have so distinctive characteristics in their design, which have regular perforations to facilitate installation of the rack system that it is more difficult to be analyzed with traditional cold-formed steel structures design theory or standards. The emergence of industrial “big-data” has created better innovative thinking for those working in various fields including science, engineering, and business. The main contribution of this paper lies in that, with engineering data from finite element simulation and physical test, a novel data-driven model (DDM) using artificial neural network technology is proposed for optimization design of thin-walled steel specific perforated members. The data-driven model based on machine learning is able to provide a more effective help for decision-making of innovative design in steel members. The results of the case study indicate that compared with the traditional finite element simulation and physical test, the DDM for the solving the hard problem of complicated steel perforated column design seems to be very promising.


1999 ◽  
Author(s):  
Zhimin He ◽  
Wei Guo ◽  
Qinghua Li ◽  
Enghong Ong ◽  
Tony Huang

2020 ◽  
Vol 142 (5) ◽  
Author(s):  
Guodong Zhu ◽  
Caifu Qian ◽  
Mingde Xue

Abstract Strength calculation for tubesheets in floating-head heat exchangers (FHXs) in current standards is based on analytical theory which assumes that the two tubesheets are symmetrical with same thickness, same material. This assumption results in a design that is not optimized for the requirement of the FHXs. In this paper, a new analytical theory is proposed which is able to perform strength calculation for tubesheets of different size and materials in FHXs. Comparison of the analytical stresses with those obtained by finite element simulation shows that the new theory proposed here is reliable and applicable. In addition, this new theory covers the symmetric one adopted in current standards such as ASME and is effective for the optimization design of the floating tubesheet (FT) as well as other relevant elements in the FHXs.


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