Research on interactive visual simulation method of Chinese fir stand growth and cutting process

Author(s):  
Wu Xuemmg ◽  
Zhang Huaiqmg ◽  
Lin Hui ◽  
Jiang Xian ◽  
Ym Langzni ◽  
...  
2020 ◽  
Vol 66 (3) ◽  
pp. 361-370
Author(s):  
Xiongqing Zhang ◽  
Quang V Cao ◽  
Hanchen Wang ◽  
Aiguo Duan ◽  
Jianguo Zhang

Abstract The self-thinning rule has played a critical role in controlling stand stocking and modeling stand development in forest stands. Chinese fir (Cunninghamia lanceolata) is a native and fast-growing tree species used for timber production and is widely grown in southern China. Effective management of this important tree species requires accurate and reasonable predictions of stand growth and survival. Remeasured data from 48 plots distributed in Fujian, Jiangxi, Guangxi, and Sichuan provinces were used to develop models to predict stand survival and basal area based on the self-thinning trajectories. These trajectories were constructed using a self-thinning slope of –1.605, as suggested by Reineke (1933) (Method 1), and the slopes estimated either from two groups of sites (Method 2) or from climate variables (Method 3). Results indicated that the stand growth and survival models using Method 3 performed best, followed by Method 2 and Method 1. In addition, stand growth and survival curves predicted from Method 3 were more similar in shape to those from the observed values, as compared with Method 1. Overall, the models based on the self-thinning lines using climate-sensitive slopes provided reasonable predictions of the stand development dynamics. Therefore, these results facilitate modeling of the relation between stand growth/survival and self-thinning under climate change.


2012 ◽  
Vol 499 ◽  
pp. 39-44
Author(s):  
L. Yan ◽  
Feng Jiang ◽  
Y.M. Rong

This paper presented a finite element simulation model for the analysis of AISI D2 orthogonal cutting process using TiAlN coated inserts. Firstly, AISI D2 material constitutive model was built based on power law model, which was used in the FEM codes to describe the effect of strain, strain rate and temperature on the material flow stress. In modeling the chip formation, a damage model was employed to predict the chip separation. Then cutting edge radius and thickness of TiAlN coating of cutting tool were measured by SEM. Friction coefficients of cutting tool against AISI D2 steel were obtained by ball-on-plate friction tests on UMT-2 high speed tribometer. Finally, finite element simulations of AISI D2 orthogonal cutting processes were performed using AdvantedgeTM software. The simulated results of cutting forces and chip morphology showed good agreement with the experimental results, which validated the reliability of the cutting process simulation method.


2015 ◽  
Vol 75 (23) ◽  
pp. 15247-15259 ◽  
Author(s):  
Suyeol Lee ◽  
Jae-Won Kim ◽  
Eunyoung Ahn

2012 ◽  
Vol 430-432 ◽  
pp. 715-718 ◽  
Author(s):  
Xue Hui Wang ◽  
Ping Zhou ◽  
Ya Wen Liu ◽  
Ming Jun Dai

The tool geometric angle and cutting parameters have a significant influence on the titanium alloy milling process by the usage of solid carbide end mills.The physical simulation method was applied to predict the cutting force and temperature by using two comparative sets of simulation data such as the different tool gemetric angle as tool rake angle, helix angle and different cutting parameters such as spindle speed, axial depth of cut, radial depth of cut. Thus are the commonly used methods to simulate and predict the cutting process before the actual production, which can reduce product cost and time.


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