A surface topography model for automated surface finishing

1998 ◽  
Vol 38 (5-6) ◽  
pp. 543-550 ◽  
Author(s):  
C.-C.A. Chen ◽  
W.-C. Liu ◽  
N.A. Duffie
Keyword(s):  
Surface Topography ◽  
Surface Finishing ◽  
Topography Model

Three-Dimensional Simulation of Wheel Topography

2011 ◽  
Vol 487 ◽  
pp. 149-154 ◽  
Author(s):  
Qiang Feng ◽  
Qian Wang ◽  
Cheng Zu Ren
Keyword(s):  
Surface Topography ◽  
Grain Shape ◽  
Three Dimensional ◽  
Angle Distribution ◽  
Structural Components ◽  
Wheel Surface ◽  
Real Situation ◽  
Wheel Topography ◽  
Topography Model ◽  
Dimensional Simulation

Simulation of wheel surface topography is one key aspect of modeling the grinding process. A three-dimensional wheel topography model not only makes the simulated wheel topography more close to the real situation, but also benefits evaluation of wheel machinability and wears condition. This paper presents a physical model for simulation of three-dimensional wheel surface topography. Wheel structural components, grain shape, angle distribution of cutting edges, and the binding materials are considered in the model. Feasibility of the model is indicated by the simulation examples.

A Framework of a Surface Generation Model in Fast Tool Servo (FTS) Machining of Optical Microstructures

2007 ◽  
Vol 364-366 ◽  
pp. 1274-1279
Author(s):  
Tsz Chun Kwok ◽  
Chi Fai Cheung ◽  
Suet To ◽  
Wing Bun Lee
Keyword(s):  
Surface Topography ◽  
Optimization Model ◽  
Tool Path ◽  
Rotational Frequency ◽  
Cutting Conditions ◽  
Surface Generation ◽  
Tool Geometry ◽  
Generation Model ◽  
Fast Tool Servo ◽  
Topography Model

In this paper, a framework of surface generation model in the fast tool servo (FTS) machining of optical microstructures will be described. The integrated model is totally composed of a tool path generator (TPG), a surface topography model (STM) and an optimization model (OM). To develop the tool path generator, two parts should be involved. The first part is the tool path generated based on cutting conditions such as the feed rate and spindle speed, the geometry of optical microstructures, and diamond tool geometry. Another part is the synchronized motion generated by the tool actuation of the FTS at a bandwidth higher than the rotational frequency of the spindle. The surface topography model will be generated based on the TPG and used to predict the technological aspects of FTS machining. It takes into the account the kinematic and dynamic characteristics of the cutting process. The former includes the tool path generated by the tool path generator. The later includes the relative vibration between the tool and the workpiece caused by the axial error motion of the spindle as well as the synchronized motion of the FTS system. The optimization model will be undertaken by an iterative algorithm, which will be developed based on the TPG and STM. The OM will be expected to output the verified tool path, the suggested optimum cutting conditions, and the diagrams with predicted cutting performance characteristic and process parameters being investigated. Eventually, the successful development of this surface generation model can contribute for the knowledge of ultra-precision machining with FTS and the further development of the performance of the machining system.

Influencing Factors of Surface Generation in Ultra-Precision Fly Cutting

2016 ◽  
Vol 1136 ◽  
pp. 221-226
Author(s):  
Lan Zhan ◽  
Fei Hu Zhang ◽  
Chen Hui An ◽  
Zhi Peng Li
Keyword(s):  
Surface Topography ◽  
Influencing Factors ◽  
Surface Profile ◽  
Surface Generation ◽  
Cutting Machine ◽  
Fly Cutting ◽  
3D Surface ◽  
Ultra Precision ◽  
Topography Model ◽  
Great Focus

Ultra-precision fly cutting machines have long been the hardest one to compliant and induce great focus of researchers. In this paper, a surface topography model is proposed to predict the surface generation in an ultra-precision fly cutting machine. The building of surface topography model is based on the trace of the tool tip. With the 3D surface profile simulations of workpieces, several influencing factors of surface topography, especially the factors related to micro waviness error, are studied.

Surface topography model with considering corner radius and diameter of ball-nose end miller

2020 ◽  
Vol 106 (9-10) ◽  
pp. 3975-3984 ◽  
Author(s):  
Jing Zhang ◽  
Song Zhang ◽  
Dongdong Jiang ◽  
Jiachang Wang ◽  
Shaolei Lu
Keyword(s):  
Surface Topography ◽  
Corner Radius ◽  
Topography Model

Navigation Shape and Surface Topography Model of Itokawa

2006 ◽  
Author(s):  
Makoto Maruya ◽  
Hiroshi Ohyama ◽  
Masashi Uo ◽  
Noboru Muranaka ◽  
Hideo Morita ◽  
...  
Keyword(s):  
Surface Topography ◽  
Topography Model

scholarly journals Surface topography and bacterial adhesion of CAD/CAM resin based materials after application of different surface finishing techniques

2018 ◽  
Vol 17 ◽  
pp. 1-11
Author(s):  
Raphael Meneghetti Hamerschmitt ◽  
Paulo Henrique Tomazinho ◽  
Kaíke Lessa Camporês ◽  
Carla Castiglia Gonzaga ◽  
Leonardo Fernandes da Cunha ◽  
...  
Keyword(s):  
Surface Roughness ◽  
Surface Topography ◽  
Surface Finish ◽  
Bacterial Adhesion ◽  
Resin Composite ◽  
The Other ◽  
Surface Finishing ◽  
Roughness Parameters ◽  
Surface Finishes ◽  
Hybrid Ceramic

Aim: This study evaluated the surface topography and bacterial adhesion of a hybrid ceramic and a nano ceramic resin composite after different surface finishes. Methods: Hybrid ceramic (Vita Enamic, VITA - EN) and nano ceramic resin composite (Lava Ultimate, 3M/ESPE - LV) blocks of 12 x 14 x 18 mm were cut into 1 mm slices. Each slice was divided into four specimens (6 x 7 mm) that were randomly allocated into 4 groups (n=8) according to the surface finishing: CTL - without surface finish (control); DB - wear with a diamond bur; VT - polishing system for hybrid ceramic (VITA); and DD - polishing system for ceramics (Dedeco). The specimens were analyzed regarding surface roughness parameters (Ra, Rz, Rq), sterilized and subjected to bacterial adhesion. Representative specimens from each group were observed by SEM and Confocal Laser Scanning Microscopy. Data were submitted to two-way ANOVA and Tukey's test (α=0.05). Results: EN had lower surface roughness and bacterial adhesion than LV (p<0.05), regardless of the surface finish. The highest values for all roughness parameters was observed in LVDB group, differing from the other groups, which were not significantly different. Smaller bacterial adhesion values (CFU/mL) were observed for ENDD and ENVT, which differed significantly from the other groups, except ENCTL. For LV groups there was no significant difference between the different surface finishes (p>0.05). The type of material and surface finish system significantly interfered with surface roughness parameters and bacterial adhesion. The hybrid ceramic performed better after polishing than the nano-ceramic resin. Conclusion: An adequate finishing/polishing technique should always be performed after any kind of adjustment to indirect restorations made with these materials tested.

Freeform surface topography model for ultraprecision turning under the influence of various errors

2021 ◽  
Vol 71 ◽  
pp. 429-449
Author(s):  
Shuai He ◽  
Jinzhou Wu ◽  
Jianping Xuan ◽  
Wenhao Du ◽  
Qi Xia ◽  
...  
Keyword(s):  
Surface Topography ◽  
Freeform Surface ◽  
Topography Model

Investigation on pulsed electrolytically polished AlSi10Mg alloy processed via selective laser melting technique

2021 ◽  
pp. 146442072110453
Author(s):  
S. Anand Kumar ◽  
Anigani Sudarshan Reddy ◽  
Snehith Mathias ◽  
Abhishek Shrivastava ◽  
Prasad Raghupatruni
Keyword(s):  
Surface Roughness ◽  
Surface Topography ◽  
Selective Laser Melting ◽  
Surface Integrity ◽  
Current Density ◽  
Aluminium Alloys ◽  
Surface Finishing ◽  
Laser Melting ◽  
X Ray ◽  
Ratio Curve

Currently, the surface integrity-related issues of additively manufactured parts are limiting the potential high-end applications. The present work investigates the effectiveness of the pulsed-electropolishing technique to improve the surface integrity of aluminium alloys fabricated using the selective laser melting (SLM) technique. Due to its low density, high corrosion resistance, the aluminium alloys considerably enhance the performance of lightweight critical parts for different industrial applications. In this study, selective laser melted AlSi10Mg samples were subjected to microstructural examinations using optical microscopy, scanning electron microscopy, energy-dispersive X-ray spectroscopy and X-ray diffraction technique. The microhardness and tensile properties were determined using a microhardness tester and a universal testing machine, respectively. The pulsed-electropolishing process was employed for the surface finishing of the SLM-processed AlSi10Mg samples. The effect of current density on the electropolishing of selective laser melted AlSi10Mg alloy were also investigated. The microstructures of printed samples revealed a density of greater than 99.9% and weld beads along the build direction (longitudinal) and laser scan paths perpendicular to the build direction (transverse). The microhardness, yield and tensile strength properties were similar in both as-printed conditions. The pulsed electropolishing results showed a beneficial effect of higher current density values, resulting in decreased surface roughness of the SLM-processed AlSi10Mg samples. Compared to as-printed conditions, a significant decrease in surface roughness of about ∼73.35% under optimized electropolishing conditions was noted. The material ratio curve shows that the surface topography becomes more uniform with increased current density and has lesser surface undulations for as-printed samples. The 2D line profilogram and 3D surface topography of electropolished SLM-processed samples reveal the surface finish quality characteristics. The material ratio curve aids as an effective method to assess and qualify the surface topography of electropolished samples.

scholarly journals 3D Rough Surface Topography Model of Fractal Interpolation Based on Wavelet Transform

2018 ◽  
Vol 1087 ◽  
pp. 052031
Author(s):  
Mingxia Kang ◽  
Wencheng Tang ◽  
Lu Zhang
Keyword(s):  
Wavelet Transform ◽  
Surface Topography ◽  
Rough Surface ◽  
Fractal Interpolation ◽  
Topography Model
Sign in / Sign up

Export Citation Format

Share Document