Self-adaptive blind 3D model watermarking algorithm based on surface roughness

2009 ◽  
Vol 29 (4) ◽  
pp. 952-955
Author(s):  
Qiang CHEN ◽  
Yan TANG
Keyword(s):  
Surface Roughness ◽  
3D Model ◽  
Self Adaptive

Simulation of Plasto-Elastohydrodynamic Lubrication in Line Contacts of Infinite and Finite Length

2015 ◽  
Vol 137 (4) ◽  
Author(s):  
Tao He ◽  
Jiaxu Wang ◽  
Zhanjiang Wang ◽  
Dong Zhu
Keyword(s):  
Surface Roughness ◽  
Finite Length ◽  
3D Model ◽  
Three Dimensional ◽  
Elastohydrodynamic Lubrication ◽  
Axial Direction ◽  
Contact Length ◽  
Line Contact ◽  
Line Contacts ◽  
3D Surface Topography

Line contact is common in many machine components, such as various gears, roller and needle bearings, and cams and followers. Traditionally, line contact is modeled as a two-dimensional (2D) problem when the surfaces are assumed to be smooth or treated stochastically. In reality, however, surface roughness is usually three-dimensional (3D) in nature, so that a 3D model is needed when analyzing contact and lubrication deterministically. Moreover, contact length is often finite, and realistic geometry may possibly include a crowning in the axial direction and round corners or chamfers at two ends. In the present study, plasto-elastohydrodynamic lubrication (PEHL) simulations for line contacts of both infinite and finite length have been conducted, taking into account the effects of surface roughness and possible plastic deformation, with a 3D model that is needed when taking into account the realistic contact geometry and the 3D surface topography. With this newly developed PEHL model, numerical cases are analyzed in order to reveal the PEHL characteristics in different types of line contact.

scholarly journals The Influence of Different Slicer Software on 3d Printing Products Accuracy and Surface Roughness

2021 ◽  
Vol 12 (2) ◽  
pp. 371-380
Author(s):  
Sally Cahyati ◽  
◽  
Haris Risqy Aziz
Keyword(s):  
Surface Roughness ◽  
Additive Manufacturing ◽  
3D Printing ◽  
3D Model ◽  
High Surface ◽  
3D Printer ◽  
Layer By Layer ◽  
Additive Manufacturing Technology ◽  
Printing Machine

Rapid Prototyping (RP) is a manufacturing process that produces a 3D model CAD to be a real product rapidly by using additive manufacturing technology. In this case, the product will print layer by layer uses a 3D printer machine. The 3D printer requires slicer software to convert CAD data into data that a 3D printer machine can read. Research is done to analyze the effect of three kinds of slicer software on 3D printing objects on the accuracy and surface roughness of the product. The 3D model CAD is sliced using three different slicer software, namely Ideamaker, Repetier Host, and Cura. The slice model result from each slicer will be printed on a 3D printer machine with the same process parameters to be compared. Then the product's dimensional and surface roughness will be measured to determine the effect of each slicer on product quality. The best quality of the product reflected the most suitable slicer software for the 3D printing machine that used. The best results achieved by Cura slicer because it has resulted in small dimensional deviations (max 0,0308±0,0079) and stabile high surface roughness of the product (max 1,585+059).

A Self-Adaptive Algorithm for 3D Dimension Based on Normal Adjustment

2011 ◽  
Vol 230-232 ◽  
pp. 113-116
Author(s):  
Heng An ◽  
Guang Rong Yan ◽  
Yi Lei
Keyword(s):  
Adaptive Algorithm ◽  
3D Model ◽  
Work Flow ◽  
Solid Model ◽  
Key Technologies ◽  
Self Adaptive

For the interference problem between 3D dimension and solid model caused by model rotation, a self-adaptive algorithm was proposed in this paper. Firstly, three types of dimension interference in 3D model were analyzed. Secondly, the work flow of self-adaptive algorithm was investigated and the key technologies such as interference check, normal adjustment were described in detail. By adjusting the normal of each interfered 3D dimension to non-interference state, the interference problem in this paper can be solved. All the algorithms were realized in a dynamically module based on CAXASOLID. Case study showed that the strategies present are feasible. Finally, the trends and expectation of 3D dimension layout was summarized.

Research on Adaptive Denoising Method for Surface Roughness Measuring

2010 ◽  
Vol 139-141 ◽  
pp. 2117-2120
Author(s):  
Xiao Bin Pan ◽  
Xiao Jun Zhou ◽  
Zu Sheng You
Keyword(s):  
Surface Roughness ◽  
Adaptive Filtering ◽  
Least Square ◽  
Lms Algorithm ◽  
Denoising Method ◽  
Gaussian Filtering ◽  
Working Principle ◽  
Adaptive Gaussian Filtering ◽  
Adaptive Denoising ◽  
Self Adaptive

This paper analyses the method of denoising surface roughness profile signal using self-adaptive filtering technique.The working principle of self-adaptive denoising has been introduced.Method of combining of self-adaptive filter and least square error(LMS) algorithm has been designed.Results obtained from sin-wave with noise are validated using the LMS algorithm to eliminate noise.Comparison of caculating surface roughness mean line between self-adaptive Gaussian filtering meanline and ordinary Gaussian filtering meanline has been presented.From the simulation of self-adaptive denoising it is observed that the designed method can be used as a denoising method in the surface roughness measuring.

Experimental Analysis on Technology of Piezoelectric Self-Adaptive Micro-EDM

2010 ◽  
Vol 143-144 ◽  
pp. 1434-1438
Author(s):  
Xiu Zhuo Fu ◽  
Qin He Zhang ◽  
Guang Hua Bao ◽  
Yu Jie Zhu
Keyword(s):  
Surface Roughness ◽  
Electrical Discharge Machining ◽  
Removal Rate ◽  
New Technology ◽  
Electrode Wear ◽  
Micro Edm ◽  
Working Process ◽  
Micro Electrical Discharge Machining ◽  
Working Principle ◽  
Self Adaptive

Micro electrical discharge machining (micro-EDM) has some shortcomings such as poor material removal rate (MRR) and high electrode wear ratio (EWR) etc, in order to overcome these demerits, a new piezoelectric self-adaptive micro-EDM, based on inverse piezoelectric effect, was developed in this paper. The structure and working principle of this new technology are different from traditional micro-EDM. Piezoelectric actuator used as the micro driven mechanism and it is simple. This new technology can realize self-elimination in the working process because of its special structure. Working principles and process of the new system were analyzed in this paper. The effect of parameters such as voltage, capacitance, and resistance on MRR, EWR and surface roughness was analyzed. Statistical analyses of the results show that voltage, capacitance significantly influence MRR, EWR and surface roughness. Resistance R1 and R2 has much influence on MRR and relative small effect on EWR and surface roughness.

State of Art on Vapour Smoothing of Fused Deposition Modelling Components

2021 ◽  
Vol 903 ◽  
pp. 57-63
Author(s):  
S.M. Basha ◽  
M.M. Basha ◽  
N. Venkaiah ◽  
M.R. Shankar
Keyword(s):  
Surface Roughness ◽  
Lead Time ◽  
3D Model ◽  
Fused Deposition Modelling ◽  
Machining Processes ◽  
Fused Deposition ◽  
Staircase Effect ◽  
A New Technique ◽  
Time Required ◽  
Functional Components

Fused Deposition Modelling (FDM) is one of the additive manufacturing processes which can produce prototypes or functional components without the use of fixtures, and the lead time required is reduced drastically compared to traditional machining processes. The application of the FDM process in the biomedical and casting industries is limited by its poor surface roughness which is most generally caused by the staircase effect and chordal error of the 3D model. Owing to the drawbacks of mechanical based finishing techniques, researchers have come up with a new technique known as Vapour Smoothing (VS). In this work, past literature of the VS process of FDM components is reported and it has been seen that the VS process is giving a promising improvement in surface roughness of FDM components.

scholarly journals Surface Roughness Research of Piezoelectric Self-adaptive Micro-EDM

Procedia CIRP ◽  
2016 ◽  
Vol 42 ◽  
pp. 563-568 ◽  
Author(s):  
Xiuzhuo Fu ◽  
Liying Gao ◽  
Qinhe Zhang ◽  
Qingyu Liu
Keyword(s):  
Surface Roughness ◽  
Micro Edm ◽  
Self Adaptive

Roughness measurements of nonlinear optical polymer films by scanning tunneling microscopy

1989 ◽  
Vol 47 ◽  
pp. 22-23
Author(s):  
I. H. Musselman ◽  
R.-T. Chen ◽  
P. E. Russell
Keyword(s):  
Surface Roughness ◽  
Scanning Tunneling Microscopy ◽  
Nonlinear Optical ◽  
Polymer Surface ◽  
Light Extinction ◽  
Scanning Tunneling ◽  
Silicon Substrates ◽  
Tunneling Microscopy ◽  
Optical Polymer ◽  
Total Light

Scanning tunneling microscopy (STM) has been used to characterize the surface roughness of nonlinear optical (NLO) polymers. A review of STM of polymer surfaces is included in this volume. The NLO polymers are instrumental in the development of electrooptical waveguide devices, the most fundamental of which is the modulator. The most common modulator design is the Mach Zehnder interferometer, in which the input light is split into two legs and then recombined into a common output within the two dimensional waveguide. A π phase retardation, resulting in total light extinction at the output of the interferometer, can be achieved by changing the refractive index of one leg with respect to the other using the electrooptic effect. For best device performance, it is essential that the NLO polymer exhibit minimal surface roughness in order to reduce light scattering. Scanning tunneling microscopy, with its high lateral and vertical resolution, is capable of quantifying the NLO polymer surface roughness induced by processing. Results are presented below in which STM was used to measure the surface roughness of films produced by spin-coating NLO-active polymers onto silicon substrates.

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